Tag Archives: information problems

Assessing the Energy-Efficiency Gap

Global energy consumption is on a path to grow 30-50 percent over the next 25 years, bringing with it, in many countries, increased local air pollution, greenhouse gas (GHG) emissions, and oil consumption, as well as higher energy prices.  Energy-efficient technologies offer considerable promise for reducing the costs and environmental damages associated with energy use, but these technologies appear not to be used by consumers and businesses to the degree that would apparently be justified, even on the basis of their own (private) financial net benefits.

For some thirty years, there have been discussions and debates about this phenomenon among researchers and others in academia, government, non-profits, and private industry, typically couched in terms of potential explanations of the so-called “energy efficiency gap” or “energy paradox.”

Thinking About the Energy-Efficiency Gap

I wrote about this some two years ago at this blog ().  I  noted then that Professor Richard Newell of Duke University and I had just launched an initiative – sponsored by the Alfred P. Sloan Foundation — to synthesize past work on potential explanations of the energy paradox and identify key gaps in knowledge. We subsequently conducted a comprehensive review and assessment of social-science research on the adoption of energy-efficient technologies.

We worked with leading social scientists — including scholars from economics, psychology, and other disciplines, at a workshop held at Harvard — to examine the various possible explanations of the energy paradox and thereby to help identify the frontiers of knowledge on the diffusion of energy-efficient technologies.  As materials became available, we posted them at the project’s Harvard website and the project’s Duke website.

Releasing a New Monograph

I’m pleased to inform readers of this blog that we have now released a major monograph, Assessing the Energy Efficiency Gap, co-authored with Todd Gerarden, a Harvard Ph.D. student in Public Policy and a Pre-Doctoral Fellow of the Harvard Environmental Economics Program (HEEP).  The monograph draws in part from the research workshop held at Harvard (in October 2013), in which most of the U.S.-based scholars (primarily, but not exclusively, economists) then conducting research on the energy-efficiency gap participated. HEEP co-sponsored a second such research workshop with the Centre for European Economic Research (ZEW) in Mannheim, Germany in March 2014, where European economists explored the same topic. Closely-related research was presented by panelists at the annual conference of the Allied Social Science Association in January 2015.

In the new monograph, Gerarden, Newell, and I examine both the “energy paradox,” the apparent reality that some energy-efficiency technologies that would pay off for adopters are nevertheless not adopted, and the broader phenomenon we characterize as the “energy-efficiency gap,” the apparent reality that some energy-efficiency technologies that would be socially efficient are not adopted. The contrast is between private and social optimality, which ultimately has important implications for the role of various policies, as well as their expected net benefits.

Four Key Questions

We begin by decomposing cost-minimizing energy-efficiency decisions into their fundamental elements, which allows us to identify four major questions, the answers to which are germane to sorting out the causes (and reality or lack thereof) of the paradox and gap.

First, we ask whether the energy efficiency and associated pricing of products on the market are economically efficient. To answer this question, we examine the variety of energy-efficient products on the market, their energy-efficiency levels, and their pricing. Although the theory is clear, empirical evidence is—in general—quite limited. More data that could facilitate potential future empirical research are becoming available, although firm-level data are much less plentiful than data on consumers. We do not see this area as meriting high priority for future research, however, with the exception of research that evaluates the effectiveness and efficiency of existing energy-efficiency information policies and examines options for improving these policies.

Second, we ask whether energy operating costs are inefficiently priced and/or understood. Even if consumers make privately optimal decisions, energy-saving technology may diffuse more slowly than the socially optimal rate, because of negative externalities. So, even if the energy paradox is not present, the energy-efficiency gap may be. As in the first realm, the theoretical arguments are strong. Empirical evidence is considerable, and in many cases data are likely to be available for additional research. Existing policies appear not to be sufficient from an economic perspective, suggesting that further research is warranted. Indeed, we ascribe high priority to the pursuit of research in this realm.

Third, we ask whether product choices are cost-minimizing in present-value terms, or whether various market failures and/or behavioral phenomena inhibit such cost-minimization. We find that the empirical evidence ranges from strong (split incentives/agency issues and inattention/salience phenomena) to moderate (heuristic decision-making/bounded rationality, systematic risk, and option value) to weak (learning-by-using, loss aversion, myopia, and capital market failures). Importantly, here, as elsewhere in our review, the bulk of previous work has focused on the residential sector and much less attention has been given to the commercial and industrial sectors. Some areas merit priority for future research, such as empirical analysis of split incentives/agency issues in areas where efficiency standards are not present, and much more work can be done in the behavioral realm.

Fourth, we ask whether other unobserved costs may inhibit energy-efficient decisions. We find that the empirical evidence is generally sound, and that data needed for more research are available. We assign a relatively high priority to future research, particularly to aid understanding of consumer demand for product attributes that are correlated with energy efficiency, thereby informing policy and product development decisions.

Three Categories of Potential Explanations of the Gap

Finally, we ask what these findings have to say about the three categories of explanations (reviewed in detail in my 2013 essay at this blog) for the apparent underinvestment in energy-efficient technologies relative to the predictions of some engineering and economic models: (1) market failures, (2) behavioral effects, and (3) modeling flaws.  In brief, potential market-failure explanations include information problems, energy market failures, capital market failures, and innovation market failures. Potential behavioral explanations include inattentiveness and salience, myopia and short sightedness, bounded rationality and heuristic decision-making, prospect theory and reference-point phenomena, and systematically biased beliefs. Finally, potential modeling flaws include unobserved or understated costs of adoption; ignored product attributes; heterogeneity in benefits and costs of adoption across potential adopters; use of incorrect discount rates; and uncertainty, irreversibility, and option value.

It turns out that all three categories of explanations are theoretically sound and that limited empirical evidence exists for every category as well, although the empirical research is by no means consistently strong across all of the specific explanations.  The validity of each of these explanations—and the degree to which each contributes to the energy-efficiency gap—are relevant for crafting sensible policies, so Gerarden, Newell, and I hope that our new monograph can help inform both future research and policy.  Given the many energy-efficiency policies and programs that are already in place, high priority should be given to research that evaluates the effectiveness, cost-effectiveness, and overall economic efficiency of existing energy-efficiency policies, as well as options for their improvement.

Thinking About the Energy-Efficiency Gap

Adoption of energy-efficient technologies could reap both private and social rewards, in the form of economic, environmental, and other social benefits from reduced energy consumption. Social benefits include improvements in air quality, reduced greenhouse-gas emissions, and increased energy security. In response, governments around the world have adopted policies to increase energy efficiency.  Still, there is a broadly held view that various barriers to the adoption of energy-efficient technologies have prevented the realization of a substantial portion of these benefits.

For some thirty years, there have been discussions and debates among researchers and others in academia, government, non-profits, and private industry regarding the so-called “energy efficiency gap” (or “energy paradox”) — the apparent reality that many energy-efficiency technologies are not adopted even when it makes sense for consumers and businesses to do so, based on their private costs and benefits. That is, decision makers appear to “under-invest” in energy-efficient technologies, relative to the predictions of some engineering and economic models.

What causes this gap?  The answer to that question could presumably help inform the development of better public policy in this realm.

Possible Explanations for the Energy-Efficiency Gap

Potential explanations for the energy efficiency gap tend to fall into three broad categories: (1) market failures, such as lack of information or misplaced incentives; (2) behavioral effects, such as inattentiveness to future energy savings when purchasing energy-consuming products; and (3) modeling flaws, such as assumptions that understate the costs or overstate the benefits of energy efficiency.  In this essay, I simply want to outline the types of hypothetical explanations of the gap that have been posited within these three broad categories.

Market-Failure Explanations

First, various Innovation Market Failures have been posited, including:  research and development (R&D) and learning-by-doing spillovers; inefficient product quality and differentiation due to market power; and inefficient introduction of new products due to consumer taste spillovers (for example, consumers becoming comfortable with a new technology).

Second, another set of potential market-failure explanations for the gap may be characterized as Information Problems.  These include:  lack of information on the part of consumers (learning-by-using or so-called experience goods; energy prices; energy consumption of products; and available substitutes); asymmetric information (the “lemons problem”); and split incentives and principal-agent issues (such as the frequently-discussed renter/owner dichotomy).

Third, there are Capital Market Failures and Liquidity Constraints, which may be a particularly significant issue in developing-country contexts.

Fourth, there are Energy Market Failures, including various externalities (environmental, energy security, congestion, and accident risk), as well as average-cost pricing of electricity.

Behavioral Explanations

The rise of behavioral economics has brought to the fore another well-defined set of potential explanations of the energy efficiency gap.  A variety of alternative taxonomies could be employed to separate these explanations, but one such taxonomy would categorize the explanations as:

Model and Measurement Explanations

The third category of possible explanations of the energy efficiency gap consists essentially of a set of reasons why observed levels of diffusion of energy-efficiency technologies may actually be privately optimal.

First, there is the possibility of unobserved or understated adoption costs, including unaccounted for product characteristics.

Second, there may be overstated benefits of adoption, due to inferior project execution relative to assumptions, and/or poor policy design.

Third, an incorrect discount rate may be employed in an analysis, when the correct consumer and firm discount rates should vary with:

  • opportunity cost of and access to capital
  • income
  • buying versus retrofitting equipment
  • systematic risk
  • option value (see below)

Fourth, there is frequently heterogeneity across end users in the benefits and costs of employing energy-efficiency technologies, so that what is privately optimal on average will not be privately optimal for all.  This can refer either to static (cross-sectional) heterogeneity or to dynamic (intertemporal) heterogeneity, that is, technology improvements over time, which raises two possibilities:  the reality of some potential adopters being short of the frontier, and the presence of option value to waiting.

Fifth and finally, there is the possibility of uncertainty (real, not informational, as above), irreversibility, and option value.  This could be due to uncertainty regarding future energy prices, or can be linked with option value that arises for delaying investments that have only minimal if any salvage value.

Public Policy and Next Steps

Determining the validity of each of these possible explanations — and the degree to which each contributes to the energy efficiency gap — are crucial steps in crafting the most appropriate public policy responses.

To inform future research and policy, Professor Richard Newell of Duke University and I have launched an initiative – sponsored by the Alfred P. Sloan Foundation — to synthesize past work on these potential explanations of the energy paradox and identify key gaps in knowledge.  We are conducting a comprehensive review and assessment of published and ongoing social-science research on the adoption of energy-efficient technologies, including scholarly literature, industry case studies, reports from national and sub-national governments, and, to the extent possible, consulting reports evaluating specific programs.

We are working with leading social scientists — including scholars from economics, psychology, and other disciplines — to examine the various possible explanations of the energy paradox and thereby to help identify the frontiers of knowledge on the diffusion of energy-efficient technologies.  We hope the products of this initiative will help decision makers in industry and government better understand the energy efficiency gap, and will thereby contribute to decisions that maximize the potential economic, environmental, and other social benefits associated with optimal adoption of energy-efficient technologies.  As materials become available, we will post them at the project’s Harvard website and the project’s Duke website, and I will alert readers of this blog.  In the meantime, please stay tuned.

On Becoming an Environmental Economist

My essay this month represents a departure from my standard blog posts about a contemporary environmental policy issue.  Rather, it is of a more personal nature, and stems from the fact that the second volume of my collected papers has just been published by Edward Elgar, Economics of Climate Change and Environmental Policy:  Selected Papers of Robert N. Stavins, 2000-2011 (2013), a successor to the first volume, published in 2000, Environmental Economics and Public Policy:  Selected Papers of Robert N. Stavins, 1988-1999.

When the publisher invited me to collect my papers in these edited volumes, it was suggested that I write a personal introduction in which I might reflect on the professional path that led to my research and writing.  I did this, and the introductory chapter of the second volume contains my latest reflections on that path.  This essay essentially consists of an abbreviated version.  My hope is that some readers will find it of interest, particularly students and others who aspire to work in this exciting and growing field.

A Professional Path

Over the past two decades, environmental and resource economics has evolved from what was once a relatively obscure application of welfare economics to a prominent field of economics in its own right.  The number of articles on the natural environment appearing in mainstream economics periodicals has continued to increase, as has the number of economics journals dedicated exclusively to environmental and resource topics.  Likewise, the influence of environmental economics on public policy has increased significantly, particularly as greater use has been made of market-based instruments for environmental protection.

In retrospect, my own professional path may now appear somewhat direct, if not altogether linear, but it hardly seemed so as I traveled along it.  The path I describe below took me back and forth across the United States and to several continents, and it took me from physics to philosophy, to agricultural extension, to international development studies, to agricultural economics, and eventually to environmental economics.  It culminated in my receipt in 1988 of a Ph.D. degree in economics at Harvard University, where I have since been a faculty member at the John F. Kennedy School of Government.  During this time, much has changed in the profession.

Early Days at Harvard

The early ascendency of the field of environmental economics, during the period from 1970 to 1990, was centered within departments of agricultural and resource economics, mainly at U.S. universities, and at Resources for the Future (RFF), the Washington research institution.  Within most economics departments, however, environmental studies remained a relatively minor area of applied welfare economics.  So, when I enrolled in the Ph.D. program in Harvard’s Department of Economics in 1983, and when I received my degree five years later, no field of study was offered in the field of environmental or resource economics.

Fortunately, Harvard permitted its graduate students to develop an optional, self-designed field as one of two “special fields” on which they were to be examined orally before proceeding to dissertation research.  Without an active environmental economist in the Department of Economics (Robert Dorfman had retired, and Martin Weitzman had yet to move to Harvard from the Massachusetts Institute of Technology), I developed an outline and reading list of the field through correspondence with leading scholars from other institutions, most prominently Kerry Smith, then at North Carolina State University.  My proposal to prepare for and be examined in the special field of environmental and resource economics (along with econometrics) was approved by the Department’s director of graduate study, Dale Jorgenson.  So began my entry into the scholarly literature.

A Nurturing Environment at Cornell

But my interest in environmental economics pre-dated by a considerable number of years my matriculation at Harvard.  Like many others before and since, I came to the field because of a personal interest in the natural environment (the origin of which I describe below).  This personal interest evolved into a professional one while I was studying for an M.S. degree in agricultural economics at Cornell University in the late 1970’s, where my thesis advisor and mentor was Kenneth Robinson.  I had originally gone to Cornell to study for a professional degree in international development, but found agricultural economics more appealing, largely because of the opportunity to examine social questions with quantitative methods within a disciplinary framework.

The faculty at Cornell and the care given to graduate students (including masters students like me) were both outstanding.  Ken Robinson, my first mentor within the economics profession, became my ongoing role model for intellectual integrity.  It was a very sad day in 2010 when Professor Robinson passed away.

A course in linear algebra, brilliantly taught by S. R. Searle, inspired me to pursue quantitative methods of analysis, and I was fortunate to then have the opportunity to study econometrics with Tim Mount.  One summer I had the great privilege of learning comparative economic systems in a small workshop setting from George Staller of the Cornell Department of Economics.   Working with Bud Stanton, I had my first experience teaching at the university level, and with Olan Forker, I had my first try at serious writing.  All of this led to research and writing of an M.S. thesis, “Forecasting the Size Distribution of Farms:  A Methodological Analysis of the Dairy Industry in New York State.”  The methodology in question was a variable Markov transition probability matrix, the cells of which were estimated econometrically in a multinomial logit framework.  Much to my surprise, this work subsequently received the Outstanding Master’s Thesis Award in the national competition of the American Agricultural Economics Association.

A Defining Move from Ithaca to Berkeley

Armed with my M.S. degree, I moved from Cornell to Berkeley, California, where I eventually met up with Phillip LeVeen, who had until shortly before that time been a faculty member in the Department of Agricultural and Resource Economics at the University of California, Berkeley.  Phil was another superb mentor, and from him I learned the power of using simple models — by which I mean a set of supply and demand curves hastily drawn on a piece of scrap paper — to develop insights into real-world policy problems.  He introduced me to a topic that was to occupy me for the next few years — California’s perpetual concerns with water allocation.  I remember many afternoons spent working with Phil at his dining room table on questions of water supply and demand.

This work with Phil LeVeen led to a consultancy and then a staff position with the Environmental Defense Fund (EDF), the national advocacy group consisting of lawyers, natural scientists, and — then almost unique among environmental advocacy organizations — economists.  At EDF, I was able to experience for the first time the use of economic analysis in pursuit of better environmental policy.  With W. R. Zach Willey, EDF’s senior economist in California, as a role model, and Thomas Graff, EDF’s senior attorney, as my mentor, I thrived in EDF’s collegial atmosphere, while thoroughly enjoying life in Berkeley’s “gourmet ghetto,” as my neighborhood was called.  Sadly, Tom Graff — without whose mentorship I would not be where I am today — passed away in 2009 after a heroic battle with cancer.

Although I found the work at EDF exceptionally rewarding, I worried that I would eventually be constrained — either within the organization or outside it — by my limited education.  So, like many others in similar situations, I considered a law degree as the next logical step.  In fact, I came very close to enrolling at Stanford Law School, but instead, in 1983, I accepted an offer of admission to the Department of Economics at Harvard, moved back east to Cambridge, Massachusetts, and began what has turned out to be a long-term relationship with the University.

Origins of Interest in Environmental Economics

But where did my interest in the natural environment begin?  Not at Cornell; it was present long before those days.  But it had not yet arisen when I was studying earlier at Northwestern University, from which I received a B.A. degree in philosophy, having departed from my first scholarly interest, astronomy and astrophysics.

Rather, the origins of my affinity for the natural environment and my interest in resource issues are to be found in the four years I spent in a small, remote village in Sierra Leone, West Africa, as a Peace Corps Volunteer, working in agricultural extension (in particular, paddy rice development).  It was there that I was first exposed both to the qualities of a pristine natural environment and the trade-offs associated with economic development.

So, I had begun in astrophysics, moved to philosophy (both at Northwestern), then to agricultural extension in a developing country (Sierra Leone), then to international development studies and subsequently to agricultural economics (both at Cornell), then to environmental economics and policy (EDF), and eventually to graduate study in economics at Harvard.

From Berkeley to Cambridge

My dissertation research at Harvard was directed by a committee of three faculty members:  Joseph Kalt, Zvi Griliches, and Adam Jaffe.  Joseph Kalt was the first faculty member at the Department of Economics to validate my interest in environmental and resource issues, and he was unfailingly generous to me and many other graduate students in making his office (and computer, then a rather scarce resource) available at all hours.  Now a colleague at the Kennedy School, Joe provided examples never to be forgotten — that economics could be a meaningful and enjoyable pursuit, and that excellence in teaching was a laudable goal.

Zvi Griliches was not only my advisor and mentor, but my spiritual father as well.  Generations of Harvard graduate students would offer similar testimony.  My own father had died only a year before I entered Harvard, and Zvi soon filled for me many paternal needs.  It is now more than a decade since Zvi himself passed away.  I felt as if I had lost my father a second time.

If Zvi Griliches provided caring and inspiration, Adam Jaffe provided invaluable day-to-day guidance.  It was Adam who convinced me not to go on the job market in my fourth year with what would have been a mediocre dissertation, but to put in another year and do it right.  That turned out to be some of the best professional advice I have ever received.  Our intensive faculty-student relationship from dissertation days subsequently evolved into a very productive professional (and personal) one that continues to this day.  The name of Adam Jaffe appears frequently in my curriculum vitae as a co-author; he has been and continues to be much more than that.

Although they were not members of my thesis committee, I should acknowledge two other faculty members at the Harvard Department of Economics who played important roles in my education.  I was fortunate to take two courses in economic history (a department requirement) from Jeffrey Williamson, who had recently arrived from the University of Wisconsin.  Williamson’s class sessions were as close as anything I have witnessed to being an economic research laboratory.  In class after class, we would carefully dissect one or more articles — examining hypothesis, theoretical model, data, estimation method, results, and conclusions.  If there was any place where I actually learned how to carry out economic research, it was in those classes.

The other name that is important to highlight is that of Lawrence Goulder, then a faculty member at Harvard, and now a professor at Stanford.  I say this not simply because he was willing to be my examiner in my chosen field of environmental and resource economics, nor because he subsequently became such a close friend.  Rather, what is striking about my professional relationship with Larry is the degree to which he has been an unnamed collaborator on so many projects of mine.  Although he and I have co-authored no more than a few articles, his name probably appears more frequently than anyone else’s in the acknowledgments of papers I have written.  There is no one whose overall judgement in matters of economics I trust more, and no one who has been more helpful.

First Steps for a Newly-Minted Ph.D. Recipient

When I began graduate school at Harvard in 1983, it was my intention to return to EDF as soon as I received my degree.  But by my third year in the program, I had decided to pursue an academic career, although one that was heavily flavored with involvement in the real world of public policy.  Within the context of this professional objective, it was not a difficult decision to accept the offer I received in February, 1988, to become an Assistant Professor at the Kennedy School.  Although some of the other offers I received at that time were also very attractive, the choice for me was obvious, and I have never regretted it — not for a moment.

I remain at the Kennedy School today, where I was promoted to Associate Professor in 1992 (an untenured rank at Harvard), and to a tenured position as Professor of Public Policy in 1997.   In 1998, I accepted an appointment as the Albert Pratt Professor of Business and Government.

Twenty-Five Years on the Harvard Faculty

Two years later, I launched the Harvard Environmental Economics Program, which today brings together — from across the University — thirty Faculty Fellows and twenty-five Pre-Doctoral Fellows, who are graduate students studying for the Ph.D. degree in economics, political economy and government, public policy, or health policy.  The Program, which I continue to direct, forms links among faculty and graduate students engaged in research, teaching, and outreach in environmental, natural resource, and energy economics and related public policy, by sponsoring research projects, convening workshops, and supporting graduate (and undergraduate) education.

A key reason why the Program — and its various projects, including the Harvard Project on Climate Agreements — have been so successful is the superb administrative leadership and staff support  it enjoys.  Everyone who has been involved in virtually any way has come away impressed by our Executive Director, Robert Stowe, and Program Manager, Jason Chapman.

At the Kennedy School, I have had an excellent mentor, William Hogan, and a superb advisor and friend, Richard Zeckhauser.  Over the years, five successive deans have provided leadership, guidance, and support (including abundant time for my research and writing) — Graham Allison, Robert Putnam, Albert Carnesale, Joseph Nye, and David Ellwood.  At Harvard more broadly, I have benefitted from regular interactions with Daniel Schrag, director of the Harvard University Center for the Environment, and Martin Weitzman of the Department of Economics.  For two decades, Marty and I have co-directed a bi-weekly Seminar in Environmental Economics and Policy, which has provided me with frequent opportunities to learn both from seminar speakers and from Marty’s questions and comments.  I will refrain from naming the many others at Harvard and elsewhere from whom I continue to learn — including my many co-authors — only because the list of such valued colleagues and friends is so long.  Included have been a most remarkable set of Ph.D. students, many of whom have gone on to productive — indeed illustrious — careers.

Along the way, I have had my share of administrative responsibilities at Harvard, including serving as Director of Graduate Studies for the Doctoral Program in Public Policy and the Doctoral Program in Political Economy and Government, and Co-Chair of the Harvard Business School-Harvard Kennedy School Joint Degree Programs.  Outside of Harvard, I have had the privilege of being a University Fellow of Resources for the Future, a Research Associate of the National Bureau of Economic Research, and the founding Editor and now Co-Editor of the Review of Environmental Economics and Policy, as well as a member of the Board of Directors of Resources for the Future, the Scientific Advisory Board of the Fondazione Eni Enrico Mattei, and numerous editorial boards. I must also note that I serve as an editor of the Journal of Wine Economics.  In 2009, I was elected a Fellow of the Association of Environmental and Resource Economists.

Working with the “Real World”

What originally attracted me to the Kennedy School was the possibility of combining an academic career with extensive involvement in the development of public policy.  I have not been disappointed.  Indeed, a theme that emerges from my collected papers is the interplay between scholarly economic research and implementation in real-world political contexts.  This is a two-way street.   In some cases, my policy involvement has come from expertise I developed through research, following a path well worn by academics.  But, in many other cases, my participation in policy matters has stimulated for me entirely new lines of inquiry.

What I have characterized as involvement in policy matters is described at the Kennedy School as faculty outreach, recognized to be of great institutional and social value, along with the two other components of our three-legged professional stool — research and teaching.  Because they relate to a number of the papers collected in this volume, I should note that my outreach efforts fall into five broad categories:  advisory work with members of Congress and the White House (for example, Project 88, a bipartisan effort co-chaired by former Senator Timothy Wirth and the late Senator John Heinz, to develop innovative approaches to environmental and resource problems); service on federal government panels (for example, my role as Chairman of the Environmental Economics Advisory Committee of the U.S. Environmental Protection Agency Science Advisory Board); on-going consulting — often on an informal basis — with environmental NGOs (most frequently, the Environmental Defense Fund) and private firms; advisory work with state governments; and professional interventions in the international sphere, such as service as a Lead Author for the Second and the Third Assessment Reports and a Coordinating Lead Author for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, professional roles with the World Bank and other international organizations, and advisory work with foreign governments.

Finally, because my two books of collected papers focus on my articles, not my books, I should note that over the years I have been privileged to be co-editor with Joseph Aldy of Post-Kyoto International Climate Policy:  Implementing Architectures for Agreement (Cambridge University Press, 2010), Post-Kyoto International Climate Policy:  Summary for Policymakers (Cambridge University Press, 2009), and Architectures for Agreement: Addressing Global Climate Change in the Post-Kyoto World (Cambridge University Press, 2007); editor of three editions of Economics of the Environment (W. W. Norton, 2000, 2005, 2012); co-editor with Bruce Hay and Richard Vietor of Environmental Protection and the Social Responsibility of Firms:  Perspectives from Law, Economics, and Business (Resources for the Future, 2005); editor of The Political Economy of Environmental Regulation (Edward Elgar, 2004), co-editor with Paul Portney of Public Policies for Environmental Protection (Resources for the Future, 2000); and author of Environmental Economics and Public Policy: Selected Papers of Robert N. Stavins, 1988-1999 (Edward Elgar, 2000).

The New Volume

That last book is the predecessor of the new volume.  Whereas the first volume (Stavins 2000) included selected papers from the period 1988 through 1999, the second volume covers the period from 2000 through 2011.  To prepare this new book, I selected 26 articles from the (many more) published papers I wrote  — frequently with co-authors — over the past decade.  Making this selection was not an easy task, but it was a rewarding one, because choosing the papers and organizing them has forced me to step back and reflect on the set of research endeavors in which I have been engaged over this decade, and thus to think more clearly about current and possible future directions.

The book is divided into seven parts.  The papers in Part I provide an overview of environmental and resource economics, treating broadly several key topics, including economic views of:  the problem of the commons (Stavins, American Economic Review, 2011); the history of U.S. environmental regulation (Hahn, Olmstead, and Stavins, Harvard Environmental Law Review, 2003); and corporate social responsibility (Reinhardt, Stavins, and Vietor, Review of Environmental Economics and Policy, 2008).

The articles in Part II deal with methods of environmental policy analysis, focusing, respectively, on:  interpreting sustainability in economic terms (Stavins, Wagner, and Wagner, Economic Letters, 2003); the use of discounting in net present value analysis (Goulder and Stavins, Nature, 2002); the development of a new revealed-preference method for inferring environmental benefits (Bennear, Stavins, and Wagner, Journal of Regulatory Economics, 2005); and the value of formal assessment of uncertainty (that is, Monte Carlo analysis) in regulatory impact analysis (Jaffe and Stavins, Regulation and Governance, 2007).

Part III turns to economic analysis of alternative environmental policy instruments, with examinations of: vintage-differentiated environmental regulation (Stavins, Stanford Environmental Law Journal, 2006); cost heterogeneity and the potential savings from employing market-based environmental policies (Newell and Stavins, Journal of Regulatory Economics, 2003); the effects of allowance allocations on the performance of cap-and-trade systems (Hahn and Stavins, Journal of Law and Economics, 2011); and second-best theory and the use of multiple policy instruments (Bennear and Stavins, Environmental and Resource Economics, 2007).

Part IV focuses on a topic that also received considerable treatment in the predecessor to this volume, namely the economics of technological change.  Here the articles include: a survey of the literature on environmental policy and technological change (Jaffe, Newell, and Stavins, Environmental and Resource Economics, 2002); an analysis of the interaction of environmental and technological market failures (Jaffe, Newell, and Stavins, Ecological Economics, 2005); an empirical assessment of the effect of environmental regulation on technology diffusion in the case of chlorine manufacturing (Miller, Snyder, and Stavins, American Economic Review Papers and Proceedings, 2003); and the effects of economic and policy incentives on carbon mitigation technologies (Jaffe, Newell, and Stavins, Energy Economics, 2006).

Part V consists of three articles in the area of natural resource economics dealing with land and water resources:  an analysis of the factors driving land-use change in the United States (Lubowski, Plantinga, and Stavins, Land Economics, 2008); an econometric examination of the significance of terroir, the notion that wine quality is primarily determined by location (Cross, Plantinga, and Stavins, American Economic Review Papers and Proceedings, 2011); and an assessment of urban water demand under alternative pricing structures (Olmstead, Hanemann, and Stavins, Journal of Environmental Economics and Management, 2007).

Part VI consists of four articles on domestic (national and sub-national) climate change policy, beginning with a description and assessment of a comprehensive U.S. cap-and-trade system for carbon dioxide and other greenhouse gas emissions (Stavins, Oxford Review of Economic Policy, 2008), and followed by:  an examination of the interactions of national and sub-national climate policies (Goulder and Stavins, American Economic Review Papers and Proceedings, 2011); an econometric study of the carbon-sequestration supply function (Lubowski, Plantinga, and Stavins, Journal of Environmental Economics and Management, 2006); and an assessment of the factors that affect the costs of biological carbon sequestration (Newell and Stavins, Journal of Environmental Economics and Management, 2000).

Finally, Part VII focuses on the international dimensions of climate change policy, and consists of four articles:  a comparison of alternative global climate change policy architectures (Aldy, Barrett, and Stavins, Climate Policy, 2003); an assessment of the Kyoto Protocol (Stavins, Milken Institute Review, 2005); an examination of a promising post-Kyoto international climate regime (Olmstead and Stavins, American Economic Review Papers and Proceedings, 2006); and a detailed examination of a key element of emerging international climate policy architecture, namely the linkage of regional, national, and sub-national tradable permit systems (Ranson, Jaffe, and Stavins, Ecology Law Quarterly, 2010).

Reflections on Common Themes

Selecting the essays for this second volume of my papers permitted me to take note of some common themes that emerge from this decade of research and writing.  First, there is the value — or at least, the potential value — of economic analysis of environmental policy.  The cause of virtually all environmental problems in a market economy is economic behavior (that is, imperfect markets affected by externalities), and so economics offers a powerful lens through which to view environmental problems, and therefore a potentially effective set of analytical tools for designing and evaluating environmental policies.

A second message, connected with the first, is the specific value of benefit-cost analysis for helping to promote efficient policies.  Economic efficiency ought to be one of the key criteria for evaluating proposed and existing environmental policies.  Despite its limitations, benefit-cost analysis can be useful for consistently assimilating the disparate information that is pertinent to sound decision making.  If properly done, it can be of considerable help to public officials when they seek to establish or assess environmental goals.

Third, the means governments use to achieve environmental objectives matter greatly, because different policy instruments have very different implications along a number of dimensions, including abatement costs in both the short and the long term.  Market-based instruments are particularly attractive in this regard.

Fourth, an economic perspective is also of considerable value when reflecting on the use of natural resources, whether land, water, fisheries, or forests.  Excessive rates of depletion of these resources are frequently due to the nature of the respective property-rights regimes, in particular, common property and open-access.  Economic instruments — such as ITQ systems in the case of fisheries — can and have been employed to bring harvesting rates down to socially efficient levels.

Fifth and finally, policies for addressing global climate change — linked with emissions of carbon dioxide and other greenhouse gases — can benefit greatly from the application of economic thinking.  On the one hand, the long time-horizon of climate change, the profound uncertainty in links between emissions and actual damages, and the possibility of catastrophic climate change present significant challenges to conventional economic analysis.  But, at the same time, the ubiquity of energy generation and use in modern economies means that only market-based policies — essentially carbon pricing regimes — are feasible instruments for achieving truly meaningful emissions reductions.  Hence, despite the challenges, an economic perspective on this grandest of environmental threats is essential.

Final Words

On a personal level, the professional path I have taken offers some confirmation that research can influence public policy, and it also illustrates that involvement in public policy can stimulate new research.  The quest — both professional and personal — that took me from Evanston, Illinois, to Sierra Leone, West Africa, to Ithaca, New York, to Berkeley, California, and finally to Cambridge, Massachusetts suggests some consistency of purpose and even function.  I continue to find myself doing similar things, but in different contexts.  It is fair to say that my professional life has taken me along a path that has brought me home.  The words of T. S. Eliot (1943) ring true:

                                        We shall not cease from exploration
                                        And the end of all our exploring
                                        Will be to arrive where we started
                                        And know the place for the first time.

Selecting the papers for this volume forces me to reflect on the past and think more clearly about the future.  The twenty-six articles that comprise this book and the twenty-two essays that comprised the predecessor volume are the product of twenty-three wonderful years on the faculty of the Harvard Kennedy School.  During this time, I have continued to learn about environmental economics and related public policy from colleagues, collaborators, students, friends, and inhabitants of the ”real world” of public policy, individuals from government, private industry, advocacy groups, and the press.  I hope that my learning will continue.

Economics of the Environment

The Sixth Edition of Economics of the Environment: Selected Readings has just been published by W. W. Norton & Company of New York and London.  Through five previous editions, Economics of the Environment has served as a valuable supplement to environmental economics texts and as a stand-alone book of original readings in the field of environmental economics.  Nearly seven years have passed since the previous edition of this volume was published, and it is now more than three decades since the first edition appeared, edited by Robert and Nancy Dorfman.  The Sixth Edition continues this tradition.

Motivation and Audience

Environmental economics continues to evolve from its origins as an obscure application of welfare economics to a prominent field in its own right, which combines elements from public finance, industrial organization, microeconomic theory, and many other areas of economics.  The number of articles on the environment appearing in mainstream economics periodicals continues to increase, and more and more economics journals are dedicated exclusively to environmental and resource topics.

There has also been a proliferation of environmental economics textbooks for college courses.  Many are excellent, but none can be expected to provide direct access to timely and original contributions by the field’s leading scholars.  As most teachers of economics recognize, it is valuable to supplement the structure and rigor of a text with original readings from the literature.

Scope and Style

With that in mind, this new edition of Economics of the Environment consists of thirty-four chapters that instructors will find to be of great value as a complement to their chosen text and their lectures.  The scope is comprehensive, and the list of authors is a veritable “who’s who” of environmental economics, including:  Joseph Aldy, Kenneth Arrow, Trudy Cameron, Ronald Coase, Maureen Cropper, Peter Diamond, George Eads, Jeffrey Frankel, Rick Freeman, Don Fullerton, Lawrence Goulder, John Graham, Robert Hahn, Michael Hanemann, Jerry Hausman, Steven Kelman, Nathaniel Keohane, Alan Krupnick, Lester Lave, John Livernois, Eric Maskin, Leonardo Maugeri, Gilbert Metcalf, Richard Newell, Roger Noll, William Nordhaus, Wallace Oates, Sheila Olmstead, Elinor Ostrom, Karen Palmer, Ian Parry, Carl Pasurka, Robert Pindyck, William Pizer, Michael Porter, Paul Portney, Forest Reinhardt, Richard Revesz, Milton Russell, Michael Sandel, Richard Schmalensee, Steven Shavell, Jason Shogren, Kerry Smith, Robert Solow, Nicholas Stern, Laura Taylor, Richard Vietor, and myself.

The articles are timely, with more than 90 percent published since 1990, and half since 2005.  There are two completely new sections of the book, “Economics of Natural Resources” and “Corporate Social Responsibility,” and all of the chapters in the section on global climate change are new to the sixth edition.

In order to make the readings in Economics of the Environment accessible to students at all levels, one criterion I use in the selection process is that articles should not only be original and well written — and meet the highest standards of economic scholarship — but also be non-technical in their presentations.  Hence, readers will find virtually no formal mathematics in any of the book’s 34 chapters throughout its 733 pages.

The Path Ahead

Environmental economics is a rapidly evolving field.  Not only do new theoretical models and improved empirical methods appear on a regular basis, but entirely new areas of investigation open up when the natural sciences indicate new concerns or the policy world turns to new issues.  Therefore, this book remains a work in progress.  I owe a great debt to the teachers and students of previous editions who have sent their comments and suggestions for revisions.  Looking to future editions, I invite all readers — whether teachers, students, or practitioners — to send me any thoughts or suggestions for improvement.

In the meantime, if you’re interested finding out more about the book, immediately below is a chapter-by-chapter summary of the book.  Alternatively, you can check out the W. W. Norton or Amazon web sites.


Appendix:  A Summary of Economics of the Environment, Sixth Edition

Part I of the volume provides an overview of the field and a review of its foundations.  Don Fullerton and I start things off with a brief essay about how economists think about the environment (Nature 1998).  This is followed by the classic treatment of social costs and bargaining by Ronald Coase (Journal of Law and Economics 1960), and a new article by Jason Shogren and Laura Taylor on the important, emerging field of behavioral environmental economics (Review of Environmental Economics and Policy 2008).

The Costs of Environmental Protection

Part II examines the costs of environmental protection, which might seem to be without controversy or current analytical interest.  This is not, however, the case.  This section begins with a survey article by Carl Pasurka that reviews the theory and empirical evidence on the relationship between environmental regulation and so-called “competitiveness” (Review of Environmental Economics and Policy 2008).

A somewhat revisionist view is provided by Michael Porter and Class van der Linde, who suggest that the conventional approach to thinking about the costs of environmental protection is fundamentally flawed (Journal of Economic Perspectives 1995).  Karen Palmer, Wallace Oates, and Paul Portney provide a careful response (Journal of Economic Perspectives 1995).

The Benefits of Environmental Protection

In Part III, the focus turns to the other side of the analytic ledger — the benefits of environmental protection.  This is an area that has been even more contentious — both in the policy world and among scholars.  Here the core question is whether and how environmental amenities can be valued in economic terms for analytical purposes.

The book features a provocative debate on the stated-preference method known as “contingent valuation.”  Paul Portney outlines the structure and importance of the debate, Michael Hanemann makes the affirmative case, and Peter Diamond and Jerry Hausman provide the critique (all three articles are from the Journal of Economic Perspectives 1994).

In the final article in Part III, the book turns to a concept that is both very important in assessments of the benefits of environmental regulations and is also very widely misunderstood — the value of a statistical life.  In an insightful essay, Trudy Cameron seeks to set the record straight (Review of Environmental Economics and Policy 2010).

There are two principal policy questions that need to be addressed in the environmental realm:  how much environmental protection is desirable; and how should that degree of environmental protection be achieved.  The first of these questions is addressed in Part IV and the second in Part V.

The Goals of Environmental Policy:  Economic Efficiency and Benefit-Cost Analysis

In an introductory essay, Kenneth Arrow, Maureen Cropper, George Eads, Robert Hahn, Lester Lave, Roger Noll, Paul Portney, Milton Russell, Richard Schmalensee, Kerry Smith, and I ask whether there is a role for benefit-cost analysis to play in environmental, health, and safety regulation (Science 1996).

Then, Lawrence Goulder and I focus on an ingredient of benefit-cost analysis that non-economists seem to find particularly confusing, or even troubling — intertemporal discounting (Nature 2002).  Next, Robert Pindyck examines a subject of fundamental importance — the role of uncertainty in environmental economics (Review of Environmental Economics and Policy 2007).  Steven Kelman provides an ethically-based critique of benefit-cost analysis, which is followed by a set of responses (Regulation 1981).

Part IV concludes with an up-to-date essay by John Graham on the critical role of the U.S. Office of Management and Budget in federal regulatory impact analysis (Review of Environmental Economics and Policy 2008).

The Means of Environmental Policy:  Cost Effectiveness and Market-Based Instruments

Part V examines the policy instruments — the means — that can be employed to achieve environmental targets or goals.  This is an area where economists have made their greatest inroads of influence in the policy world, with tremendous changes having taken place over the past twenty  years in the reception given by politicians and policy makers to so-called market-based or economic-incentive instruments for environmental protection.

Lawrence Goulder and Ian Parry start things off with a broad-ranging essay on instrument choice in environmental policy (Review of Environmental Economics and Policy 2008).  Following this, I examine lessons that can be learned from the innovative sulfur dioxide allowance trading program, set up by the Clean Air Act Amendments of 1990 (Journal of Economic Perspectives 1998).  Finally, Michael Sandel provides a critique of market-based instruments, with responses offered by Eric Maskin, Steven Shavell, and others (New York Times 1997).

Economics of Natural Resources

Part VI consists of three essays on a new topic for this book — the economics of natural resources.  First, John Livernois examines the empirical significance of a central tenet in natural resource economics, namely the Hotelling Rule — the proposition that under conditions of efficiency, the scarcity rent (price minus marginal extraction cost) of natural resources will rise over time at the rate of interest (Review of Environmental Economics and Policy 2009).

Essays by Leonardo Maugeri (Review of Environmental Economics and Policy 2009) and Sheila Olmstead (Review of Environmental Economics and Policy 2010), respectively, examine two particularly important resources:  petroleum and water.

The next four sections of the book treat some timely and important topics and problems.

Corporate Social Responsibility and the Environment

Part VII examines corporate social responsibility and the environment, discussion of which has too often been characterized by more heat than light.  Forest Reinhardt, Richard Vietor, and I provide an overview of this realm from the perspective of economics, examining the notion of firms voluntarily sacrificing profits in the social interest.  In a second essay, Paul Portney provides a valuable empirical perspective (both are from the Review of Environmental Economics and Policy 2008).

Global Climate Change

Part VIII is dedicated to investigations of economic dimensions of global climate change, which may in the long term prove to be the most significant environmental problem that has arisen, both in terms of its potential damages and in terms of the costs of addressing it.  First, a broad overview of the topic is provided in a survey article by Joseph Aldy, Alan Krupnick, Richard Newell, Ian Parry, and William Pizer (Journal of Economic Literature 2010).

Next, William Nordhaus critiques the well-known Stern Review on the Economics of Climate Change, and Nicholas Stern and Chris Taylor respond (both are from Science 2007).  In the final essay in this section, Gilbert Metcalf examines market-based policy instruments that can be used to address greenhouse gas emissions (Journal of Economic Perspectives 2009).

Sustainability, the Commons, and Globalization

Part IX begins with Robert Solow’s economic perspective on the concept of sustainability.  This is followed by Elinor Ostrom’s development of a general framework for analyzing sustainability (Science 2009), and my own historical view of economic analysis of problems associated with open-access resources (American Economic Review 2011).  Then, Jeffrey Frankel draws on diverse sources of empirical evidence to examine whether globalization is good or bad for the environment (Council on Foreign Relations 2004).

Economics and Environmental Policy Making

The final section of the book, Part X, departs from the normative concerns of much of the volume to examine some interesting and important questions of political economy.  It turns out that an economic perspective can provide useful insights into questions that might at first seem to be fundamentally political.

Nathaniel Keohane, Richard Revesz, and I utilize an economic framework to ask why our political system has produced the particular set of environmental policy instruments it has (Harvard Environmental Law Review 1998).  Myrick Freeman reflects on the benefits that U.S. environmental policies have brought about since the first Earth Day in 1970 (Journal of Economic Perspectives 2002).  Lastly, Robert Hahn addresses the question that many of the articles in this volume raise:  what impact has economics actually had on environmental policy (Journal of Environmental Economics and Management 2000)?

Both Are Necessary, But Neither is Sufficient: Carbon-Pricing and Technology R&D Initiatives in a Meaningful National Climate Policy

For many years, there has been a great deal of discussion about carbon-pricing – whether carbon taxes or cap-and-trade – as an essential part of a meaningful national climate policy.  It has long been recognized that although carbon-pricing will be necessary, it will not be sufficient. Economists and other policy analysts have noted that policies intended to foster climate-friendly technology research and development (R&D) will also be necessary, but likewise will not be sufficient on their own.

Some recent studies and press accounts, which I reference below, have identified these two approaches to addressing CO2 emissions as substitutes, rather than complements.  That is fundamentally inconsistent with decades of research, and so my purpose in this essay is to set the record straight.

Carbon Pricing:  Necessary But Not Sufficient

First of all, why is there so much talk among policy analysts and policy makers – not simply among academics – about carbon‑pricing as the core of a meaningful strategy to reduce CO2 emissions?  Why, in fact, is this approach so overwhelmingly favored by the analytical community?  The answer is simple and surprisingly pragmatic.

First, there is no other feasible approach that can provide meaningful emissions reductions, such as the 80 percent reduction in national CO2 emissions by 2050 that was part of the legislation passed by the U.S. House of Representatives and proposed in the Senate and part of the Obama administration’s conditional pledge under the Copenhagen Accord.  Because of the ubiquity and diversity of energy use in a modern economy, conventional regulatory approaches –standards of various kinds – simply cannot do the job.  Only carbon pricing – either in the form of carbon taxes or cap-and-trade – can significantly tilt in a climate-friendly direction the millions of decentralized decisions that are made in our economy every day.

Second, carbon-pricing is the least costly approach in the short term, because abatement costs are exceptionally heterogeneous across sources.  Only carbon-pricing provides strong incentives that push all sources to control at the same marginal abatement cost, thereby achieving a given aggregate target at the lowest possible cost.

Third, it is the least costly approach in the long term, because it provides incentives for carbon-friendly technological change, which brings down costs over time.

For these reasons, carbon-pricing is a necessary component of a truly meaningful national climate policy.  [I’ve written about this in many previous blog posts, including on June 23, 2010, “The Real Options for U.S. Climate Policy.”]  However, although it is a necessary policy component, carbon-pricing is not sufficient on its own. This is because there are other market failures that dilute the impacts of price signals on decision makers.

Technology R&D Policies:  Also Necessary, Also Not Sufficient

The most important of these “other market failures” is the public good nature of information.  Companies carrying out research and development (R&D) incur the full costs of their efforts, but they do not capture the full benefits.  This is because even with a perfectly-enforced system of intellectual property rights (such as patents), there are tremendous spillover benefits to other firms.  Decades of economic research – much of it by my former colleague and co-author, Professor Adam Jaffe, now Dean of Arts and Sciences at Brandeis University – has analyzed with empirical (econometric) analysis the remarkable degree to which inventions and innovations by one firm provide valuable information that leads to new inventions and innovations by other firms.

So, firms pay the costs of their R&D, but do not reap all the benefits.  The existence of this positive externality of firms’ R&D – or put differently, the public-good nature of the information generated by R&D – means that the private sector will carry out less than the “efficient” amount of R&D of new climate-friendly technologies in response to given carbon prices.  Hence, other public policies are needed to address this “R&D market failure.”

New path-breaking technologies will be needed to address climate change, and public support for private-sector or public-sector R&D will be crucial to meet this need.  But, at the same time, to address the climate-change market failure itself (that is, the externality associated with greenhouse gas emissions), carbon pricing will be necessary, for all of the reasons I gave above.  This is an application of an important and fundamental principle in economics:  two market failures require the use of two policy instruments.

Empirical analyses have repeatedly verified this crucial point – that combining carbon-pricing with R&D support is more cost-effective than adopting either approach alone.  Included in this set of studies are the following:  Carolyn Fischer (Resources for the Future) and Richard Newell (U.S. Energy Information Administration, on leave from Duke University), “Environmental and Technology Policies for Climate Mitigation”; Stephen Schneider (late of Stanford University) and Lawrence Goulder (Stanford University), “Achieving Low-Cost Emissions Targets”; and Daren Acemoglu (MIT), Philippe Aghion, Leonardo Bursztyn, and David Hemous (Harvard University), “The Environment and Directed Technical Change.”

Complements, Not Substitutes

An interesting, recent column, “Next Step on Policy for Climate,” by David Leonhardt in the New York Times (October 13, 2010, p. B1) might give some people the mistaken impression that technology policies are an adequate, even sensible substitute for carbon-pricing.  That was not the intended message of the column.  In fact, Leonhardt – perhaps the leading economic journalist writing today in the United States ­– indicates clearly in his column that he is skeptical of the notion of thinking of technology subsidies as an adequate substitute for carbon-pricing (in particular, cap-and-trade).  And in a follow-up post at the New York Times’ Economix, he makes clear that “these two policies are not mutually exclusive.”

Nevertheless, Leonhardt’s original column (which included a very nice profile of my colleague, Professor Michael Greenstone of MIT) focused attention on a recent report –  a report that could give the false impression that technology policies would be a sensible substitute for serious carbon-pricing.  The report in question – “Post-Partisan Power” – received significant coverage, primarily because of its sponsorship:  a combination of a prominent Republican-oriented Washington think tank, the American Enterprise Institute (AEI), and an equally prominent Democratic-oriented Washington think tank, the Brooking Institution (and a third partner, the Breakthrough Institute, a California-based environmental think tank).

The report may well garner some bi-partisan political support, because it promises a free lunch of painless, win-win solutions, a promise that will resonate with many elected officials.  Indeed, the report’s sub-title is “how a limited and direct approach to energy innovation can deliver clean, cheap energy, economic productivity, and national prosperity.”  What’s not to like? And the authors are presumably smart and politically shrewd.  I know that’s the case with the AEI author, Steven Hayward, who I debated last year in the pages of the Wall Street Journal.

To its credit, the report lays out a menu of policies intended to stimulate carbon-friendly technological change, ranging from $500 million of Federal government funding of K-12 curriculum development and teacher training to $25 billion annually of direct Federal funding of energy innovation.

For the reasons I explained above (the “R&D market failure” and the “carbon emissions externality”), both direct technology R&D policies and serious carbon-pricing are necessary, but neither is sufficient on its own.  Unfortunately, this new report ­­– and some of the press coverage surrounding it – makes the claim that such direct government funding of technology innovation is a sufficient and sensible substitute for meaningful carbon-pricing.  That claim is both unfortunate and wrong, as it is supported neither by sound reasoning nor empirical research, as I have described above.

Again, many of the individual technology policy recommendations offered by the AEI-Brookings-BI report are worthy of serious consideration (as a complement, not a substitute for an economy-wide carbon-pricing policy).  But the specifics – indeed, much of the meat – are missing.  “Reform the nation’s morass of energy subsidies” – yes, but exactly which subsidies (all of which have important political constituencies behind them) will be eliminated?  “Recognize the potential for nuclear power” – yes, and both the House and Senate carbon-pricing schemes would have provided tremendous incentives for nuclear power investment.

Overall, there should be concern about how all of this will be funded.  Where will the $25 billion per year come from?  The report appropriately states that this should not come from general revenues, and thus add to the Federal debt.  “Phasing out current subsidies for wind, solar, ethanol, and fossil fuels” could be meritorious on its own, but how much does this generate, and does it even pass a political laugh-test?  Interestingly, beyond this, despite considerable rhetoric about moving beyond debates about carbon-pricing, the report recommends that in order to avoid adding to the Federal debt, it would be necessary to impose new taxes, including increased royalties for oil and gas extraction, a tax on imported oil, a tax on electricity sales, and a “very small carbon price” (presumably from a modest carbon tax or unambitious cap-and-trade system).

The actual numbers would be helpful, and the political feasibility remains a serious question.  The political challenges that emerged in the effort to pass cap-and-trade climate legislation will not magically disappear if there’s an attempt to induce Congress to approve $25 billion in funding.  As Tom Friedman noted on October 12th in the New York Times, Congress has not come close to fully funding the outstanding requests for about $4 billion for ARPA-E (energy) research.

More broadly, despite the attraction of the AEI-Brookings-BI proposal as a potential complement to carbon-pricing (and I am serious that the proposal is of value in that context), one has to be very careful about comparing proposed new policies in idealized form (for example, precisely the right subsidies eliminated and precisely the right new subsidies introduced) with real policies with all their warts (for example, the cap-and-trade bill that was passed by the House last year).  Making such comparisons can lead to flawed analysis and misleading results.

This is not a new issue.  Robert Hahn and I wrote about this generic problem nearly 20 years ago in an article (“Economic Incentives for Environmental Protection:  Integrating Theory and Practice”) which appeared the American Economic Review Papers and Proceedings (May 1992).  At the time, our concern was that this mistake was being made not by the opponents but by the supporters of cap-and-trade and other (then essentially untested) market-based instruments.  We worried that “many analysts use highly stylized benchmarks for comparison that ignore likely political realities,” and suggested that an appropriate “comparison would be between actual command-and-control policies and either actual trading [cap-and-trade] programs … or a reasonably constrained theoretical … program.”

Likewise today, when carrying out comparisons of policy alternatives, it is fine to compare two theoretical, idealized alternatives, or to compare two real-world policies, but it is problematic and usually misleading to compare a theoretical, idealized policy of one type with a real-world example of another type of policy.

The Bottom Line

Carbon-pricing – whether carbon taxes or cap-and-trade – will be an essential part of any truly meaningful national climate policy.  Likewise, to address the “R&D market failure,” direct technology innovation policies will also be required.  Both are necessary.  Neither is sufficient.  These are complements, not substitutes.


Postscript: Four years ago, the U.S. Congressional Budget Office (CBO) — widely recognized for its non-partisan, first-rate research — produced a study on the same topic as the AEI-Brookings-BI report, but did so with rigor and without ideology.  The CBO report — Evaluating the Role of Prices and R&D in Reducing Carbon Dioxide Emissions (September 2006) — was prepared by Dr. Terry Dinan, a long-time, respected CBO economist, and was peer reviewed by an impressive set of academic and other experts.  Sadly, the CBO paper received little press coverage, despite its high quality and its relevance.  For anyone interested in the topic of this post, particularly those who disagree with my theme, I hope you will read the CBO report.

Also, a reader of this blog post sent me a paper by David Hart and Kadri Kallas (from MIT’s Energy Innovation working paper series) that examines “Alignment and Misalignment of Technology Push and Regulatory Pull.” It’s worth reading in the context of combining carbon pricing and technology R&D policies.

Eyes on the Prize: Federal Climate Policy Should Preempt State and Regional Initiatives

In just a few days, Senators John Kerry, Lindsey Graham, and Joe Lieberman will release their much-anticipated proposal for comprehensive climate and energy legislation – the best remaining shot at forging a bipartisan consensus on this issue in 2010.  Their proposal has many strengths, but there’s an issue brewing that could undermine its effectiveness and drive up its costs.  I wrote about this in a Boston Globe op-ed on Earth Day, April 22nd (the original version of which can be downloaded here).

Government officials from California, New England, New York, and other northeastern states are vociferously lobbying in Washington to retain their existing state and regional systems for reducing greenhouse gas emissions, even after a new federal system comes into force. That would be a mistake – and a potentially expensive one for residents of those states, who could wind up subsidizing the rest of the country.  The Senate should do as the House did in its climate legislation:  preempt state and regional climate policies.  There’s no risk, because if Federal legislation is not enacted, preemption will not take effect.

The regional systems – including the Regional Greenhouse Gas Initiative (RGGI) in the Northeast and Assembly Bill 32 in California – seek to limit carbon dioxide emissions from power plants and other sources, mainly by making emissions more costly for firms and individuals.  These systems were explicitly developed because the federal government was not moving fast enough.

But times have changed.  Like the House climate legislation passed last June, the new Senate bill will feature at its heart an economy-wide carbon-pricing scheme to reduce carbon dioxide emissions, including a cap-and-trade system (under a different name) for the electricity and industrial sectors.  (In a departure from the House version, it may have a carbon fee for transportation fuels.)

Though the Congress has a history of allowing states to act more aggressively on environmental protection, this tradition makes no sense when it comes to climate change policy.  For other, localized environmental problems, California or Massachusetts may wish to incur the costs of achieving cleaner air or water within their borders than required by a national threshold.  But with climate change, it is impossible for regions, states, or localities to achieve greater protection for their jurisdictions through more ambitious actions.

This is because of the nature of the climate change problem. Greenhouse gases, including carbon dioxide, uniformly mix in the atmosphere – a unit of carbon dioxide emitted in California contributes just as much to the problem as carbon dioxide emitted in Tennessee.  The overall magnitude of damages – and their location – are completely unaffected by the location of emissions.  This means that for any individual jurisdiction, the benefits of action will inevitably be less than the costs. (This is the same reason why U.S. federal action on climate change should occur at the same time as other countries take actions to reduce their emissions).

If federal climate policy comes into force, the more stringent California policy will accomplish no additional reductions in greenhouse gases, but simply increase the state’s costs and subsidize other parts of the country. This is because under a nationwide cap-and-trade system, any additional emission reductions achieved in California will be offset by fewer reductions in other states.

A national cap-and-trade system – which is needed to address emissions meaningfully and cost-effectively – will undo the effects of a more stringent cap within any state or group of states.  RGGI, which covers only electricity generation and which will be less stringent than the Federal policy, will be irrelevant once the federal system comes into force.

In principle, a new federal policy could allow states to opt out if they implement a program at least as stringent.  But why should states want to opt out?  High-cost states will be better off joining the national system to lower their costs. And states that can reduce emissions more cheaply will be net sellers of Federal allowances.

Is there any possible role for state and local policies?  Yes.  Price signals provided by a national cap-and-trade system are necessary to meaningfully address climate change at sensible cost, but such price signals are not sufficient.  Other market failures call for supplementary policies.  Take, for example, the principal-agent problem through which despite higher energy prices, both landlords and tenants lack incentives to make economically-efficient energy-conservation investments, such as installing thermal insulation.  This problem can be handled by state and local authorities through regionally-differentiated building codes and zoning.

But for the core of climate policy – which is carbon pricing – the simplest, cleanest, and best way to avoid unnecessary costs and unnecessary actions is for existing state systems to become part of the federal system.  Political leaders from across the country – including the Northeast and California – would do well to follow the progressive lead of Massachusetts Governor Deval Patrick and Secretary of Energy and Environmental Affairs Ian Bowles, who have played key roles in the design and implementation of RGGI, and yet have also publicly supported its preemption by a meaningful national program.

California’s leaders and those in the Northeast may take great pride in their state and regional climate policies, but if they accomplish their frequently-stated goal – helping to bring about the enactment of a meaningful national climate policy – they will better serve their states and the country by declaring victory and getting out of the way.

Is Benefit-Cost Analysis Helpful for Environmental Regulation?

With the locus of action on Federal climate policy moving this week from the House of Representatives to the Senate, this is a convenient moment to step back from the political fray and reflect on some fundamental questions about U.S. environmental policy.

One such question is whether economic analysis – in particular, the comparison of the benefits and costs of proposed policies – plays a truly useful role in Washington, or is it little more than a distraction of attention from more important perspectives on public policy, or – worst of all – is it counter-productive, even antithetical, to the development, assessment, and implementation of sound policy in the environmental, resource, and energy realms.   With an exceptionally talented group of thinkers – including scientists, lawyers, and economists – now in key environmental and energy policy positions at the White House, the Environmental Protection Agency, the Department of Energy, and the Department of the Treasury, this question about the usefulness of benefit-cost analysis is of particular importance.

For many years, there have been calls from some quarters for greater reliance on the use of economic analysis in the development and evaluation of environmental regulations.  As I have noted in previous posts on this blog, most economists would argue that economic efficiency — measured as the difference between benefits and costs — ought to be one of the key criteria for evaluating proposed regulations.  (See:  “The Myths of Market Prices and Efficiency,” March 3, 2009; “What Baseball Can Teach Policymakers,” April 20, 2009; “Does Economic Analysis Shortchange the Future?” April 27, 2009)  Because society has limited resources to spend on regulation, such analysis can help illuminate the trade-offs involved in making different kinds of social investments.  In this sense, it would seem irresponsible not to conduct such analyses, since they can inform decisions about how scarce resources can be put to the greatest social good.

In principle, benefit-cost analysis can also help answer questions of how much regulation is enough.  From an efficiency standpoint, the answer to this question is simple — regulate until the incremental benefits from regulation are just offset by the incremental costs.  In practice, however, the problem is much more difficult, in large part because of inherent problems in measuring marginal benefits and costs.  In addition, concerns about fairness and process may be very important economic and non-economic factors.  Regulatory policies inevitably involve winners and losers, even when aggregate benefits exceed aggregate costs.

Over the years, policy makers have sent mixed signals regarding the use of benefit-cost analysis in policy evaluation.  Congress has passed several statutes to protect health, safety, and the environment that effectively preclude the consideration of benefits and costs in the development of certain regulations, even though other statutes actually require the use of benefit-cost analysis.  At the same time, Presidents Carter, Reagan, Bush, Clinton, and Bush all put in place formal processes for reviewing economic implications of major environmental, health, and safety regulations. Apparently the Executive Branch, charged with designing and implementing regulations, has seen a greater need than the Congress to develop a yardstick against which regulatory proposals can be assessed.  Benefit-cost analysis has been the yardstick of choice

It was in this context that ten years ago a group of economists from across the political spectrum jointly authored an article in Science magazine, asking whether there is role for benefit-cost analysis in environmental, health, and safety regulation.  That diverse group consisted of Kenneth Arrow, Maureen Cropper, George Eads, Robert Hahn, Lester Lave, Roger Noll, Paul Portney, Milton Russell, Richard Schmalensee, Kerry Smith, and myself.  That article and its findings are particularly timely, with President Obama considering putting in place a new Executive Order on Regulatory Review.

In the article, we suggested that benefit-cost analysis has a potentially important role to play in helping inform regulatory decision making, though it should not be the sole basis for such decision making.  We offered eight principles.

First, benefit-cost analysis can be useful for comparing the favorable and unfavorable effects of policies, because it can help decision makers better understand the implications of decisions by identifying and, where appropriate, quantifying the favorable and unfavorable consequences of a proposed policy change.  But, in some cases, there is too much uncertainty to use benefit-cost analysis to conclude that the benefits of a decision will exceed or fall short of its costs.

Second, decision makers should not be precluded from considering the economic costs and benefits of different policies in the development of regulations.  Removing statutory prohibitions on the balancing of benefits and costs can help promote more efficient and effective regulation.

Third, benefit-cost analysis should be required for all major regulatory decisions. The scale of a benefit-cost analysis should depend on both the stakes involved and the likelihood that the resulting information will affect the ultimate decision.

Fourth, although agencies should be required to conduct benefit-cost analyses for major decisions, and to explain why they have selected actions for which reliable evidence indicates that expected benefits are significantly less than expected costs, those agencies should not be bound by strict benefit-cost tests.  Factors other than aggregate economic benefits and costs may be important.

Fifth, benefits and costs of proposed policies should be quantified wherever possible.  But not all impacts can be quantified, let alone monetized.  Therefore, care should be taken to assure that quantitative factors do not dominate important qualitative factors in decision making.  If an agency wishes to introduce a “margin of safety” into a decision, it should do so explicitly.

Sixth, the more external review that regulatory analyses receive, the better they are likely to be.  Retrospective assessments should be carried out periodically.

Seventh, a consistent set of economic assumptions should be used in calculating benefits and costs.  Key variables include the social discount rate, the value of reducing risks of premature death and accidents, and the values associated with other improvements in health.

Eighth, while benefit-cost analysis focuses primarily on the overall relationship between benefits and costs, a good analysis will also identify important distributional consequences for important subgroups of the population.

From these eight principles, we concluded that benefit-cost analysis can play an important role in legislative and regulatory policy debates on protecting and improving the natural environment, health, and safety.  Although formal benefit-cost analysis should not be viewed as either necessary or sufficient for designing sensible public policy, it can provide an exceptionally useful framework for consistently organizing disparate information, and in this way, it can greatly improve the process and hence the outcome of policy analysis.

If properly done, benefit-cost analysis can be of great help to agencies participating in the development of environmental regulations, and it can likewise be useful in evaluating agency decision making and in shaping new laws (which brings us full-circle to the climate legislation that will be developed in the U.S. Senate over the weeks and months ahead, and which I hope to discuss in future posts).

What Baseball Can Teach Policymakers

With the Major League Baseball season having just begun, I’m reminded of the truism that the best teams win their divisions in the regular season, but the hot teams win in the post-season playoffs.  Why the difference?  The regular season is 162 games long, but the post-season consists of just a few brief 5-game and 7-game series.  And because of the huge random element that pervades the sport, in a single game (or a short series), the best teams often lose, and the worst teams often win.

The numbers are striking, and bear repeating.  In a typical year, the best teams lose 40 percent of their games, and the worst teams win 40 percent of theirs.  In the extreme, one of the best Major League Baseball teams ever ­- the 1927 New York Yankees – lost 29 percent of their games; and one of the worst teams in history – the 1962 New York Mets – won 25 percent of theirs.  On any given day, anything can happen.  Uncertainty is a fundamental part of the game, and any analysis that fails to recognize this is not only incomplete, but fundamentally flawed.

The same is true of analyses of environmental policies.  Uncertainty is an absolutely fundamental aspect of environmental problems and the policies that are employed to address those problems.  Any analysis that fails to recognize this runs the risk not only of being incomplete, but misleading as well.  Judson Jaffe, formerly at Analysis Group, and I documented this in a study published in Regulation and Governance.

To estimate proposed regulations’ benefits and costs, analysts frequently rely on inputs that are uncertain —  sometimes substantially so.  Such uncertainties in underlying inputs are propagated through analyses, leading to uncertainty in ultimate benefit and cost estimates, which constitute the core of a Regulatory Impact Analysis (RIA), required by Presidential Executive Order for all “economically significant” proposed Federal regulations.

Despite this uncertainty, the most prominently displayed results in RIAs are typically single, apparently precise point estimates of benefits, costs, and net benefits (benefits minus costs), masking uncertainties inherent in their calculation and possibly obscuring tradeoffs among competing policy options.  Historically, efforts to address uncertainty in RIAs have been very limited, but guidance set forth in the U.S. Office of Management and Budget’s (OMB) Circular A‑4 on Regulatory Analysis has the potential to enhance the information provided in RIAs regarding uncertainty in benefit and cost estimates.  Circular A‑4 requires the development of a formal quantitative assessment of uncertainty regarding a regulation’s economic impact if either annual benefits or costs are expected to reach $1 billion.

Over the years, formal quantitative uncertainty assessments — known as Monte Carlo analyses — have become common in a variety of fields, including engineering, finance, and a number of scientific disciplines, as well as in “sabermetrics” (quantitative, especially statistical analysis of professional baseball), but rarely have such methods been employed in RIAs.

The first step in a Monte Carlo analysis involves the development of probability distributions of uncertain inputs to an analysis.  These probability distributions reflect the implications of uncertainty regarding an input for the range of its possible values and the likelihood that each value is the true value.  Once probability distributions of inputs to a benefit‑cost analysis are established, a Monte Carlo analysis is used to simulate the probability distribution of the regulation’s net benefits by carrying out the calculation of benefits and costs thousands, or even millions, of times.  With each iteration of the calculations, new values are randomly drawn from each input’s probability distribution and used in the benefit and/or cost calculations.  Over the course of these iterations, the frequency with which any given value is drawn for a particular input is governed by that input’s probability distribution.  Importantly, any correlations among individual items in the benefit and cost calculations are taken into account.  The resulting set of net benefit estimates characterizes the complete probability distribution of net benefits.

Uncertainty is inevitable in estimates of environmental regulations’ economic impacts, and assessments of the extent and nature of such uncertainty provides important information for policymakers evaluating proposed regulations.  Such information offers a context for interpreting benefit and cost estimates, and can lead to point estimates of regulations= benefits and costs that differ from what would be produced by purely deterministic analyses (that ignore uncertainty).  In addition, these assessments can help establish priorities for research.

Due to the complexity of interactions among uncertainties in inputs to RIAs, an accurate assessment of uncertainty can be gained only through the use of formal quantitative methods, such as Monte Carlo analysis.  Although these methods can offer significant insights, they require only limited additional effort relative to that already expended on RIAs.  Much of the data required for these analyses are already obtained by EPA in their preparation of RIAs; and widely available software allows the execution of Monte Carlo analysis in common spreadsheet programs on a desktop computer.  In a specific application in the Regulation and Governance study, Jaffe and I demonstrate the use and advantages of employing formal quantitative analysis of uncertainty in a review of EPA’s 2004 RIA for its Nonroad Diesel Rule.

Formal quantitative assessments of uncertainty can mark a truly significant step forward in enhancing regulatory analysis under Presidential Executive Orders.  They have the potential to improve substantially our understanding of the impact of environmental regulations, and thereby to lead to more informed policymaking.

The Myth of the Universal Market

Communication among economists, other social scientists, natural scientists, and lawyers is far from perfect. When the topic is the environment, discourse across disciplines is both important and difficult. Economists themselves have likely contributed to some misunderstandings about how they think about the environment, perhaps through enthusiasm for market solutions, perhaps by neglecting to make explicit all of the necessary qualifications, and perhaps simply by the use of technical jargon.

So it shouldn’t come as a surprise that there are several prevalent and very striking myths about how economists think about the environment. Because of this, my colleague Don Fullerton, a professor of economics at the University of Illinois, and I posed the following question in an article in Nature:  how do economists really think about the environment? In this and several succeeding postings, I’m going to answer this question, by examining — in turn — several of the most prevalent myths.

One myth is that economists believe that the market solves all problems. Indeed, the “first theorem of welfare economics” states that private markets are perfectly efficient on their own, with no interference from government, so long as certain conditions are met. This theorem, easily proven, is exceptionally powerful, because it means that no one needs to tell producers of goods and services what to sell to which consumers. Instead, self-interested producers and self-interested consumers meet in the market place, engage in trade, and thereby achieve the greatest good for the greatest number, as if “guided by an invisible hand,” as Adam Smith wrote in 1776 in The Wealth of Nations. This notion of maximum general welfare is what economists mean by the “efficiency” of competitive markets.

Economists in business schools may be particularly fond of identifying markets where the necessary conditions are met, where many buyers and many sellers operate with very good information and very low transactions costs to trade well-defined commodities with enforced rights of ownership. These economists regularly produce studies demonstrating the efficiency of such markets (although even in this sphere, problems can obviously arise).

For other economists, especially those in public policy schools, the whole point of the first welfare theorem is very different. By clarifying the conditions under which markets are efficient, the theorem also identifies the conditions under which they are not. Private markets are perfectly efficient only if there are no public goods, no externalities, no monopoly buyers or sellers, no increasing returns to scale, no information problems, no transactions costs, no taxes, no common property, and no other distortions that come between the costs paid by buyers and the benefits received by sellers.

Those conditions are obviously very restrictive, and they are usually not all satisfied simultaneously. When a market thus “fails,” this same theorem offers us guidance on how to “round up the usual suspects.” For any particular market, the interesting questions are whether the number of sellers is sufficiently small to warrant antitrust action, whether the returns to scale are great enough to justify tolerating a single producer in a regulated market, or whether the benefits from the good are “public” in a way that might justify outright government provision of it. A public good, like the light from a light house, is one that can benefit additional users at no cost to society, or that benefits those who “free ride” without paying for it.

Environmental economists, of course, are interested in pollution and other externalities, where some consequences of producing or consuming a good or service are external to the market, that is, not considered by producers or consumers. With a negative externality, such as environmental pollution, the total social cost of production may thus exceed the value to consumers. If the market is left to itself, too many pollution-generating products get produced. There’s too much pollution, and not enough clean air, for example, to provide maximum general welfare. In this case, laissez-faire markets — because of the market failure, the externalities — are not efficient.

Similarly, natural resource economists are particularly interested in common property, or open-access resources, where anyone can extract or harvest the resource freely. In this case, no one recognizes the full cost of using the resource; extractors consider only their own direct and immediate costs, not the costs to others of increased scarcity (called “user cost” or “scarcity rent” by economists). The result, of course, is that the resource is depleted too quickly. These markets are also inefficient.

So, the market by itself demonstrably does not solve all problems. Indeed, in the environmental domain, perfectly functioning markets are the exception, rather than the rule. Governments can try to correct these market failures, for example by restricting pollutant emissions or limiting access to open-access resources. Such government interventions will not necessarily make the world better off; that is, not all public policies will pass an efficiency test. But if undertaken wisely, government interventions can improve welfare, that is, lead to greater efficiency. I will turn to such interventions in a subsequent posting.