follow the file and see the paper to finish the work
EC 230: Topics in Environmental Economics
Department of Economics, University of Vermont
Donna Ramirez Harrington
(djramire@uvm.edu)
GUIDE QUESTIONS
Type your answers below the empty space provided (you may use more space of course) using BLUE in CALIBRI FONT: Then upload on designated portal on our course Bb on the date indicated.
Note we have two different due dates for submission.
These three readings all relate to economic growth-pollution relationship, but from a macroeconomic standpoint. This is how the readings and labs are related to each other and to other modules:
1. The first HW due on this topic is for Pugel and Dasgupta together. Pugel reading (pages 284-288) provides the background on the relationship between economic growth and pollution, the components of those relationships, the shape of the traditional EKC and what it means. Dasgupta discusses the how the shape of the EKC can be different from the traditional EKC and the interventions needed to modify the shape. Note that these interventions relate to different types of regulations/interventions that we have discussed (standards, taxes, permits, VIBAs)
2. For EKC Lab 1: we will be estimating the turning point of the EKC: i.e., what level of GDP per capita will EKC start to slope down. The second HW due will be the Excel file that you did to re-create EKC Lab 1 results.
3. The third HW due date is for Cole which extends the EKC to incorporate trade. It is this inclusion of trade variables that will allow us to relate the EKC (the composition effect – see Pugel reading below) to pollution haven hypothesis (Dechezleprêtre and Sato reading). Note that the income effect (see below) is what relates EKC to regulation which is the topic in an earlier module). Note that Cole explains how inclusion of trade variables will affect the turning point of the EKC. Once again, our modules and concepts therein are inter-related and their linkages will get clearer as we go along.
4. For EKC Lab 2: we will be analyzing whether the coefficients of the trade variables are as expected based from Cole, and estimate whether the turning point of the EKC in models with trade variables will behave as they did in the Cole paper. The fourth HW due date will be the Excel file that you did to re-create this EKC Lab 2 results.
Before you get started on the readings watch these:
https://www.youtube.com/watch?v=RXw_X9L_4TQ
PUGEL and DASGUPTA ET AL
Save and post your answers as: YOURFAMILYNAME_PugelDasgupta
PUGEL
Focus on pages 284-288 for Pugel
1. Define the three possible shapes of the pollution-economic growth relationship [ /5]
No need to submit now: but you need to be able to draw each one.
2. Define what EKC stands for and describe what it captures. Which ones of the shapes above correspond to the EKC. [ /5]
3. Describe the three “effects” of economic growth on pollution [ /15]
For each, identify and explain the signs (+ or – or could be either + or -); Positive (Negative) means that as growth increases, pollution increases (decrease).
a. Size effect
b. Composition effect
c. Income effect
4. Then discuss how the relative sizes of these effects determine where an economy is on the EKC [ /10]
DASGUPTA ET AL
1. What are the possible modified shapes of the EKC according to Dasgupta and why they are “better” or “worse” than a traditional EKC discussed in Pugel [ /15]
2. How does Dasgupta propose we achieve the “more optimistic” shape of the EKC. [ /15]
Many of them are related to the different types of regulations/interventions that we have discussed (standards, taxes, permits, VIBAs). So identify which policy instruments are implied by each of Dasgupta’s recommendations as you describe each one.
COLE
Save and post your answers as:YOURFAMILYNAME_Cole
1. Summarize how and why trade and pollution haven hypothesis (focus of the DS reading) is related to the concept of EKC (Section1 and Section 2, you can focus on Section 2 until the top of second column of page 74 and then read all of section 3) [ /10]
2. For EKC Lab 2, we will focus on variables similar to DX and DM in Equation 3 Section 3 of Cole. Explain what each of these variable capture in relation to the pollution haven hypothesis and explain how each is expected to affect pollution, i.e., thee expected sign of their coefficients, , respectively. [ /15]
Tip: I pasted Tables 1 and 2 at the end of this document with some notes to help you answer the questions.
Tip: Make sure you understand this as this will be what we will discuss in EKC Lab 2 and Quiz 4.
3. There are two sets of results in Section 3: one for air (Table 1) and one for water (Table 2).
Summarize whether the signs of the coefficients of the variables DX and DM are in each equation and discuss whether they are consistent with the hypotheses you discussed above. (those indicated inside the red box in Tables 1 and 2 at the end of this document) [ /30]
Tip: I pasted Tables 1 and 2 at the end of this document with some notes to help you answer the questions.
Tip: Make sure you understand this as this will be what we will discuss in EKC Lab 2 and Quiz 4.
4. The most important part of section 3 that I want us to focus on are whether the inclusion of the trade variables will change the turning point of EKC (those indicated inside the blue box in Tables 1 and 2 at the end of this document). Page 78 has the explanation of how their inclusion is expected to change the turning point (higher or lower) and why. Explain in your own word how and why inclusion of the trade variables in estimating EKCs can change the turning point. [ /10]
The tables show the coefficients of the variables in the model:
For both Tables 1 and 2:
· The green boxes show the coefficients Y variables, log(GDPpercapita) variables. The coefficients of the linear, quadratic and cubic terms are , and , respectively
· The red boxes show the structural and trade variables that will allow us to test the pollution haven hypothesis. Pay attention to what the text says the signs of their coefficients are ( and whether the results above are consistent with the hypothesis.
· The blue box shows the turning points, i.e, the level of ln(GDPpercapita) that makes EKC turn and slope downward. That is makes the slope of E with respect to Y zero. For the quadratic models (NOx, SO2, SPM and CO2), it should be equal to the exp [Yhat]= exp[- / (2 * )]. We need to take exp[Yhat] because GDPpercapita is in natural log.
For Table 1 only: the orange box is the results for CO2. We will be using CO2 data for our lab but it is different from this dataset since I do not have access to Cole’s detailed data. I only have country-level data from the WB every five years from 1990-2010 every so our turning point will be very different.
For both Tables 1 and 2:
· The green boxes show the coefficients Y variables, log(GDPpercapita) variables. The coefficients of the linear, quadratic and cubic terms are , and , respectively
· The red boxes show the structural and trade variables that will allow us to test the pollution haven hypothesis. Pay attention to what the text says the signs of their coefficients are ( and whether the results above are consistent with the hypothesis.
· The blue box shows the turning points, i.e, the level of ln(GDPpercapita) that makes EKC turn and slope downward. That is makes the slope of E with respect to Y zero. For the quadratic models (NOx, SO2, SPM and CO2), it should be equal to the exp [Yhat]= exp[- / (2 * )]. We need to take exp[Yhat] because GDPpercapita is in natural log.
Calculating the Turning points of GDP in a quadratic model:
http://www.sterndavidi.com/Publications/EKC
How to get from (1) to (2):
Take derivative of (1) with respect to ln(GDP/P) (the first derivative is like taking the slope)
It is equal to beta_1+2*beta2 * ln (GDP/P) (1’)
Equate (3) to zero (slope of ln(E/P) is zero at its peak)
beta_1+2*beta2 * ln (GDP/P)=0 (1’’)
Solve (1’’) for ln (GDP/P) yields (2).
Note on turning points:
The calculated turning point is descriptive not prescriptive:
Descriptive: It tells us that given the data (geographic region covered and time period), that was the GDP per capita level where pollution stats to fall
Not prescriptive: The turning point DOES NOT say that we need to wait until countries get to that level of per capita income before economic growth (GDP per capita) can start yielding lower pollution . The turning point DOES NOT imply that poor countries need to suffer the pollution as cost of economic growth.
That is why Dasgupta’s article is important: It tells us the intervention we need to do to make the turning point level of income lower and the peak level of pollution lower
American Economic Association
Confronting the Environmental Kuznets Curve
Author(s): Susmita Dasgupta, Benoit Laplante, Hua Wang, David Wheeler
Reviewed work(s):
Source: The Journal of Economic Perspectives, Vol. 16, No. 1 (Winter, 2002), pp. 147-168
Published by: American Economic Association
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Journal of Economic Perspectives-Volume 16, Number 1-Winter 2002-Pages 147-168
Confronting the Environmental
Kuznets Curve
Susmita Dasgupta, Benoit Laplante,
Hua Wang and David Wheeler
T he environmental Kuznets curve posits an inverted-U relationship be-
tween pollution and economic development. Kuznets’s name was appar-
ently attached to the curve by Grossman and Krueger (1993), who noted
its resemblance to Kuznets’s inverted-U relationship between income inequality
and development. In the first stage of industrialization, pollution in the environ-
mental Kuznets curve world grows rapidly because people are more interested in
jobs and income than clean air and water, communities are too poor to pay for
abatement, and environmental regulation is correspondingly weak. The balance
shifts as income rises. Leading industrial sectors become cleaner, people value the
environment more highly, and regulatory institutions become more effective.
Along the curve, pollution levels off in the middle-income range and then falls
toward pre-industrial levels in wealthy societies.
The environmental Kuznets curve model has elicited conflicting reactions
from researchers and policymakers. Applied econometricians have generally ac-
cepted the basic tenets of the model and focused on measuring its parameters.
Their regressions, typically fitted to cross-sectional observations across countries or
regions, suggest that air and water pollution increase with development until per
capita income reaches a range of $5000 to $8000. When income rises beyond that
level, pollution starts to decline, as shown in the “conventional EKC” line in
Figure 1. In developing countries, some policymakers have interpreted such results
as conveying a message about priorities: Grow first, then clean up.
Numerous critics have challenged the conventional environmental Kuznets
curve, both as a representation of what actually happens in the development
process and as a policy prescription. Some pessimistic critics argue that cross-
sectional evidence for the environmental Kuznets curve is nothing more than a
v Susmita Dasgupta, Benoit Laplante, Hua Wang, and David Wheeler are Economists,
Development Research Group, World Bank, Washington, D. C.
148 Journal of Economic Perspectives
Figure 1
Environmental Kuznets Curve: Different Scenarios
Pollution
New Toxics
Race to the Bottom
Conventional EKC
Revised EKC
$ 5000 $ 8000
Income Per Capita
snapshot of a dynamic process. Over time, they claim, the curve will rise to a
horizontal line at maximum existing pollution levels, as globalization promotes a
“race to the bottom” in environmental standards, as shown in Figure 1. Other
pessimists hold that, even if certain pollutants are reduced as income increases,
industrial society continuously creates new, unregulated and potentially toxic pol-
lutants. In their view, the overall environmental risks from these new pollutants may
continue to grow even if some sources of pollution are reduced, as shown by the
“new toxics” line in Figure 1. Although both pessimistic schools make plausible
claims, neither has bolstered them with much empirical research.
In contrast, recent empirical work has fostered an optimistic critique of the
conventional environmental Kuznets curve. The new results suggest that the level
of the curve is actually dropping and shifting to the left, as growth generates less
pollution in the early stages of industrialization and pollution begins falling at
lower income levels, as shown by the “revised EKC” in Figure 1.
The stakes in the environmental Kuznets curve debate are high. Per capita
GDP in 1998 (in purchasing power parity dollars) was $1440 in the nations of
sub-Saharan Africa, $2060 in India, $2407 in Indonesia, and $3051 in China (World
Bank, 2000). Since these societies are nowhere near the income range associated
with maximum pollution on the conventional environmental Kuznets curve, a
literal interpretation of the curve would imply substantial increases in pollution
during the next few decades. Moreover, empirical research suggests that pollution
costs are already quite high in these countries. For example, recent World Bank
estimates of mortality and morbidity from urban air pollution in India and
China
suggest annual losses in the range of 2-3 percent of GDP (Bolt, Hamilton, Pandey
and Wheeler, 2001).
The stakes are not trivial for industrial societies, either. Those who believe in
the “race to the bottom” model repeatedly advocate trade and investment restric-
Susmita Dasgupta, Benoit Laplante, Hua Wang and David Wheeler 149
tions that will eliminate the putative cost advantage of “pollution havens” in the
developing world. If their assessment of the situation is correct, then industrial
society faces two unpalatable options: Protect environmental gains by moving back
toward autarky, but reducing global income in the process, or accept much higher
global pollution under unrestrained globalization. Moreover, industrialized coun-
tries surely must consider the daunting possibility that they are not actually making
progress against pollution as their incomes rise, but instead are reducing only a few
measured and well-known pollutants while facing new and potentially greater
environmental concerns.
In this paper, we review the arguments and the evidence on the position, shape
and mutability of the environmental Kuznets curve. We ultimately side with the
optimists-but with some reservations.
Theory and Measurement of the Relationship between Economic
Development and Environmental Quality
Numerous theoretical and empirical papers have considered the broad rela-
tionship between economic development and environmental quality. The focus of
the theoretical papers has mainly been to derive transition paths for pollution,
abatement effort and development under alternative assumptions about social
welfare functions, pollution damage, the cost of abatement, and the productivity of
capital. This theoretical work has shown that an environmental Kuznets curve can
result if a few plausible conditions are satisfied as income increases in a society:
specifically, the marginal utility of consumption is constant or falling; the disutility
of pollution is rising; the marginal damage of pollution is rising; and the marginal
cost of abating pollution is rising. Most theoretical models implicitly assume the
existence of public agencies that regulate pollution with full information about the
benefits and costs of pollution control. In addition, they assume that the pollution
externality is local, not cross-border. In the latter case, there would be little local
incentive to internalize the externality.
L6pez (1994) uses a fairly general theoretical model to show that if producers
pay the social marginal cost of pollution, then the relationship between emissions
and income depends on the properties of technology and preferences. If prefer-
ences are homothetic, so that percentage increases in income lead to identical
percentage increases in what is consumed, then an increase in output will result in
an increase in pollution. But if preferences are nonhomothetic, so that the pro-
portion of household spending on different items changes as income rises, then the
response of pollution to growth will depend on the degree of relative risk-aversion
and the elasticity of substitution in production between pollution and conventional
inputs.
Selden and Song (1995) derive an inverted-U curve for the relationship
between optimal pollution and the capital stock, assuming that optimal abatement
is zero until a given capital stock is achieved, and that it rises thereafter at an
150 Journal of Economic Perspectives
increasing rate. John and Pecchenino (1994), John, Pecchenio, Schimmelpfennig
and Schreft (1995), and McConnell (1997) derive similar inverted-U curves by
using overlapping generations models. Recent analytical work by L6pez and Mitra
(2000) suggests that corruption may also account for part of the observed relation-
ship between development and environmental quality. Their results show that for
any level of per capita income, the pollution level corresponding to corrupt
behavior is always above the socially optimal level. Further, they show that the
turning point of the environmental Kuznets curve takes place at income and
pollution levels above those corresponding to the social optimum.
Numerous empirical studies have tested the environmental Kuznets curve
model. The typical approach has been to regress cross-country measures of ambient
air and water quality on various specifications of income per capita. For their data
on pollution, these studies often rely on information from the Global Environmen-
tal Monitoring System (GEMS), an effort sponsored by the United Nations that has
gathered pollution data from developed and developing countries. The GEMS
database includes information on contamination from commonly regulated air and
water pollutants. Stern, Auld, Common and Sanyal (1998) have supplemented the
GEMS data with a more detailed accounting of airborne sulfur emissions. Although
greenhouse gases have not been included in the GEMS database, carbon dioxide
emissions estimates for most developed and developing countries are available
from the U.S. Oak Ridge National Laboratories (Marland, Boden and Andres,
2001).
Empirical researchers are far from agreement that the environmental Kuznets
curve provides a good fit to the available data, even for conventional pollutants. In
one of the most comprehensive reviews of the empirical literature, Stern (1998)
argues that the evidence for the inverted-U relationship applies only to a subset of
environmental measures; for example, air pollutants such as suspended particulates
and sulfur dioxide. Since Grossman and Krueger (1993) find that suspended
particulates decline monotonically with income, even Stern’s subset is open to
contest. In related work, Stern, Auld, Common and Sanyal (1998) find that sulfur
emissions increase through the existing income range. Results for water pollution
are similarly mixed.
Empirical work in this area is proceeding in a number of directions. First,
international organizations such as the United Nations Environment Programme
and the World Bank are sponsoring collection of more data on environmental
quality in developing countries. As more data is collected, new opportunities will
open up for studying the relationship between economic development and envi-
ronmental quality. In the meantime, it is useful to think about how to compensate
for incomplete monitoring information. For example, Selden and Song (1994)
develop estimates of air emissions based on national fuel-use data and fuel-specific
pollution parameters that are roughly adjusted for conditions in countries at
varying income levels.
A second issue is that for many pollutants data is scarce everywhere, not just in
developing countries. The GEMS effort has focused on a few “criteria” pollutants,
so-designated because legal statutes have required regulators to specify their dam-
Confronting the Environmental Kuznets Curve 151
aging characteristics. Criteria air pollutants, for example, have generally included
ozone, carbon monoxide, suspended particulates, sulfur dioxide, lead and nitrogen
oxide. A far broader class of emissions, known as toxic pollutants, includes mate-
rials that cause death, disease or birth defects in exposed organisms. Among the
hundreds of unregulated toxic pollutants that have been subjected to laboratory
analysis, the quantities and exposures necessary to produce damaging effects have
been shown to vary widely. Literally thousands of potentially toxic materials remain
untested and unregulated.
Data gathering in this area has started, as some countries have mandated
public reports of toxic emissions by industrial facilities. For example, the United
States has a Toxic Release Inventory; Canada has a National Pollutant Release
Inventory; the United Kingdom has a Pollutant Inventory; and Australia has a
National Pollutant Inventory. Using sectoral estimates of toxic emissions relative to
level of output, developed from U.S. data by Hettige, Martin, Singh and Wheeler
(1995), researchers have estimated toxic emissions in eastern Europe (Laplante
and Smits, 1998) and Latin America (Hettige and Wheeler, 1996; Dasgupta,
Laplante and Meisner, 2001). However, the underlying scarcity of data has as yet
made it impossible to do more than speculate about the shape of an environmental
Kuznets curve for toxics.
A third empirical issue involves thinking about the curvature of the environ-
mental Kuznets curve. In most cases, the implied relationship between income
growth and pollution is sensitive to inclusion of higher-order polynomial terms in
per capita income whose significance varies widely.
Fourth, it is useful to compare the results of time series studies where the
environmental evidence is available. De Bruyn, van den Bergh and Opschoor
(1998) estimate time series models individually for Netherlands, Germany, the
United Kingdom and the United States and show that economic growth has had a
positive effect on emissions of carbon dioxide, nitrogen oxides, and sulfur dioxide.
They argue that conventional cross-section estimation techniques have generated
spurious estimates of the environmental Kuznets curve because they do not ade-
quately capture the dynamic process involved.
Given the data limitations, concerns over appropriate functional forms, and
choices between cross-section and time series analysis, structural interpretations of
the environmental Kuznets curve have remained largely ad hoc. In view of these
uncertainties, few researchers have taken the next step and begun to study the
sources of change in the marginal relationship between economic development
and pollution.
How the Environmental Kuznets Curve Can Become Lower and
Hatter
Research on the environmental Kuznets curve has suggested that its shape is
not likely to be fixed. Instead, the relationship between growth in per capita
152 Journal of Economic Perspectives
income and environmental quality will be determined by how many parties react to
economic growth and its side effects-including citizens, businesses, policymakers,
regulators, nongovernmental organizations, and other market participants. A body
of recent research has investigated these connections. The theme that emerges
from this research is that it is quite plausible for developing societies to have
improvements in environmental quality. It also seems likely that because of growing
public concern and research knowledge about environmental quality and regula-
tion, countries may be able to experience an environmental Kuznets curve that is
lower and flatter than the conventional measures would suggest. That is, they may
be able to develop from low levels of per capita income with little or no degradation
in environmental quality, and then at some point to experience improvements in
both income and environmental quality.
The Primary Role of Environmental Regulation
In principle, observed changes in pollution as per capita income rises could
come from several different sources: shifts in the scale and sectoral composition of
output, changes in technology within sectors, or the impact of regulation on
pollution abatement (Grossman and Krueger, 1993). The absence of appropriate
microdata across countries has precluded a systematic empirical approach to this
decomposition. However, the available evidence suggests that regulation is the
dominant factor in explaining the decline in pollution as countries grow beyond
middle-income status.
For instance, Panayotou (1997) estimates a decomposition equation for a
sample of 30 developed and developing countries for the period 1982-1994. He
incorporates policy considerations into the income-environment relationship while
decomposing it into scale, sectoral composition and pollution intensity (or pollu-
tion per unit of output) effects. His main finding, at least for ambient sulfur dioxide
levels, is that effective policies and institutions can significantly reduce environ-
mental degradation at low income levels and speed up improvements at higher
income levels, thereby lowering the environmental Kuznets curve and reducing the
environmental cost of growth. However, the estimated equation is not derived from
any formal structural equation. In addition, in the absence of actual measures of
environmental regulation, Panayotou uses indices of contract enforcement and
bureaucratic efficiency as proxies. De Bruyn (1997) decomposes the growth-
environment relationship in a sample of OECD and former socialist economies,
using a divisia index methodology. Analyzing changes in sulfur dioxide pollution,
he finds a significant role for environmental policy, but not for structural change
in the economy. In a cross-country study of water pollution abatement, Mani,
Hettige and Wheeler (2000) find that while some of the improvement in water
quality with increases in per capita income is attributable to sectoral composition
and technology effects, the main factor is stricter environmental regulation.
There appear to be three main reasons that richer countries regulate pollution
more strictly. First, pollution damage gets higher priority after society has com-
pleted basic investments in health and education. Second, higher-income societies
have more plentiful technical personnel and budgets for monitoring and enforce-
Susmita Dasgupta, Benoit Laplante, Hua Wang and David Wheeler 153
Figure 2
Air Pollution Regulation and Income Per Capita in 31 Countries
2.6 –
$ 2.4-
2.
2 –
2 –
1.8-
O 1.6-
k 1.4-
1.2 –
1 I I I I
2 2.5 3 3.5 4 4.5
Log (Income Per Capita)
Source: Dasgupta, Mody, Roy and Wheeler (2001).
ment activities. Third, higher income and education empower local communities
to enforce higher environmental standards, whatever stance is taken by the national
government (Dasgupta and Wheeler, 1997; Pargal and Wheeler, 1996; Dean, 1999).
The result of these mutually reinforcing factors, as shown in Figure 2, is a very close
relationship between national pollution regulation and income per capita (Das-
gupta, Mody, Roy and Wheeler, 2001).
Economic Liberalization
During the past two decades, many countries have liberalized their economies
by reducing government subsidies, dismantling price controls, privatizing state
enterprises and removing barriers to trade and investment. Easterly (2001) pro-
vides strong evidence that measures of financial depth and price distortion have
improved significantly for developing countries since 1980. The result has been an
adjustment toward economic activities that reflect comparative advantage at undis-
torted factor and product prices, which in turn can affect the level of pollution in
an economy by shifting the sectoral composition.
One result has been growth of labor-intensive assembly activities such as
garment production. These activities are seldom pollution-intensive, although
there are some notable exceptions such as electronics assembly that employs toxic
cleaning solvents and fabric production that generates organic water pollution and
toxic pollution from chemical dyes (Hettige, Martin, Singh and Wheeler, 1995).
Another likely area of comparative advantage is information services with relatively
low skill requirements, such as records maintenance for internationally distributed
information-processing services. Such activities are typically not very polluting.
More environmentally sensitive areas of comparative advantage include large-scale
agriculture and production that exploits local natural resources such as forest
154 Journal of Economic Perspectives
products, basic metals and chemicals (Lee and Roland-Holst, 1997). These indus-
tries are often heavy polluters, because they produce large volumes of waste
residuals and frequently employ toxic chemicals.
Elimination of government subsidies often has an environmentally beneficial
effect in this context. The heaviest polluters often receive subsidies, because they
operate in sectors such as steel and petrochemicals where state intervention has
been common. Privatization and reduction of subsidies tend to reduce the scale of
such activities, while expanding production in the assembly and service sectors that
emit fewer pollutants (Dasgupta, Wang and Wheeler, 1997; Lucas, Hettige and
Wheeler, 1992; Jha, Markandya and Vossenaar, 1999; Birdsall and Wheeler, 1993).
Elimination of energy subsidies increases energy efficiency, shifts industry away
from energy-intensive sectors, and reduces demand for pollution-intensive power
(Vukina, Beghin and Solakoglu, 1999; World Bank, 1999). However, higher energy
prices also induce shifts from capital- and energy-intensive production techniques
to labor- and materials-intensive techniques, which are often more pollution-
intensive in other ways (Mani, Hettige and Wheeler, 2000).
Economic liberalization also has a common effect, at least in pollution-
intensive sectors, of enlarging the market share of larger plants that operate at
more efficient scale (Wheeler, 2000; Hettige, Dasgupta and Wheeler, 2000). This
change often involves a shift toward publicly held firms at the expense of family
firms. The improvement in efficiency means less pollution per unit of production,
although larger plants may also concentrate pollution in a certain locality (Lucas,
Dasgupta and Wheeler, 2001). In China, state-owned enterprises have much higher
costs for reducing air pollution because they are operated less efficiently. Figure 3
displays recent econometric estimates of control costs for sulfur dioxide air pollu-
tion in large Chinese factories (Dasgupta, Wang and Wheeler, 1997).1
The level of polluting emissions also reflects managers’ technology decisions.
In the OECD countries, innovations have generated significantly cleaner technol-
ogies that are available at incremental cost to producers in developing countries.
Even in weakly regulated economies, many firms have adopted these cleaner
technologies because they are more profitable. Increased openness to trade also
tends to lower the price of cleaner imported technologies, while increasing the
competitive pressure to adopt them if they are also more efficient (Reppelin-Hill,
1999; Huq, Martin and Wheeler, 1993; Martin and Wheeler, 1992). Thus, firms in
relatively open developing economies adopt cleaner technologies more quickly
(Birdsall and Wheeler, 1993; Huq, Martin and Wheeler, 1993).
While liberalization can certainly improve environmental conditions, it is no
panacea. The evidence suggests that in a rapidly growing economy, the effect of
lower pollution per unit of output as a result of greater efficiency is generally
1 Xu, Gau, Dockery and Chen (1994) have shown that atmospheric sulfur dioxide concentrations are
highly correlated with damage from respiratory disease in China. Sulfur dioxide and other oxides of
sulfur combine with oxygen to form sulfates and with water vapor to form aerosols of sulfurous and
sulfuric acid. Much of the health damage from sulfur dioxide seems to come from fine particulates in
the form of sulfates.
Confronting the Environmental Kuznets Curve 155
Figure 3
Sulfur Dioxide Marginal Abatement Costs: Large Chinese Factories
300
2
50
z 200 -_/
E — Non-state-owned enterprises 150
;- State-owned enterprises
f
100
50
0 t I I t
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Rate of Abatement
Source: World Bank (1999).
overwhelmed by the rise in overall pollution as a result of rising output (Beghin,
Roland-Holst and van der Mensbrugghe, 1997; Dessus and Bussolo, 1998; Lee and
Roland-Holst, 1997). Thus, total pollution will grow unless environmental regula-
tion is strengthened (Mani, Hettige and Wheeler, 2000).
Pervasive Informal Regulation
Low-income communities frequently penalize dangerous polluters, even when
formal regulation is weak or absent. Abundant evidence from Asia and Latin
America shows that neighboring communities can strongly influence factories’
environmental performance (Pargal and Wheeler, 1996; Hettige, Huq, Pargal and
Wheeler, 1996; Huq and Wheeler, 1992; Hartman, Huq and Wheeler, 1997).
Where formal regulators are present, communities use the political process to
influence the strictness of enforcement. Where regulators are absent or ineffective,
nongovernmental organizations and community groups-including religious insti-
tutions, social organizations, citizens’ movements, and politicians-pursue infor-
mal regulation. Although these pressures vary from region to region, the pattern
everywhere is similar: Factories negotiate directly with local actors in response to
threats of social, political or physical sanctions if they fail to compensate the
community or to reduce emissions.
The response of factories can take many forms. Cribb (1990) cites the case of
a cement factory in Jakarta that-without admitting liability for the dust it
generates-“compensates local people with an ex gratia payment of Rp. 5000 and
a tin of evaporated milk every month.” Agarwal, Chopra and Sharma (1982)
describe a situation where, confronted by community complaints, a paper mill in
India installed pollution abatement equipment-and to compensate residents for
remaining damage, the mill also constructed a Hindu temple. If all else fails,
community action can also trigger physical removal of the problem. In Rio de
Janeiro, a neighborhood association protest against a polluting tannery led man-
agers to relocate it to the city’s outskirts (Stotz, 1991). Mark Clifford (1990) has
156 Journal of Economic Perspectives
reported in the Far Easten Economic Review that community action prevented the
opening of a chemical complex in Korea until appropriate pollution control
equipment was installed. Indeed, communities sometimes resort to extreme mea-
sures. Cribb (1990) has recounted an Indonesian incident “reported from Banjaran
near Jakarta in 1980 when local farmers burned a government-owned chemical
factory that had been polluting their irrigation channels.”
Such examples are not limited to developing countries, of course. They also
play an important role in the work of Coase (1960), who called traditional regula-
tion into question by noting that pollution victims, as well as regulators, can take
action if they perceive that the benefits outweigh the costs. Of course, the victims
need information about pollution risks to take appropriate action. In most cases,
such information can only be gathered by public authorities that have a legal
mandate to collect it. We will return to this issue in our discussion of public
disclosure as a new regulatory instrument in developing countries.
Pressure from Market Agents
Market agents can also play an important role in creating pressures for
environmental protection. Bankers may refuse to extend credit because they are
worried about environmental liability; consumers may avoid the products of firms
that are known to be heavy polluters.
The evidence suggests that multinational firms are important players in this
context. These firms operate under close scrutiny from consumers and environ-
mental organizations in the high-income economies. Investors also appear to play
an important role in encouraging clean production. Heavy emissions may signal to
investors that a firm’s production techniques are inefficient. Investors also weigh
potential financial losses from regulatory penalties and liability settlements. The
U.S. and Canadian stock markets react significantly to environmental news, gener-
ating gains from good news and losses from bad news in the range of 1-2 percent
(Muoghalu, Robison and Glascock, 1990; Lanoie and Laplante, 1994; Klassen and
McLaughlin, 1996; Hamilton, 1995; Lanoie, Laplante and Roy, 1998). One recent
study found that firms whose bad environmental press has the greatest impact on
stock prices subsequently reduce emissions the most (Konar and Cohen, 1997).
Similar effects of environmental news on stock prices have been identified in
Argentina, Chile, Mexico and the Philippines (Dasgupta, Laplante and Mamingi,
2001). In fact, the market responses in these countries are much larger than those
reported for U.S. and Canadian firms: Stock price gains average 20 percent in
response to good news and losses range from 4-15 percent in the wake of bad news.
Multinationals have responded to such factors. A recent study of 89 U.S.-based
manufacturing and mining multinationals with branches in developing countries
found that nearly 60 percent adhere to a stringent internal standard that reflects
OECD norms, while the others enforce local standards (Dowell, Hart and Yeung,
2000). Controlling for other factors such as physical assets and capital structure, the
study found that firms with uniform internal standards had an average market value
$10.4 billion higher than their counterparts. Indeed, multinational firms operating
in low-income economies are often environmentally friendlier than domestically
Susmita Dasgupta, Benoit Laplante, Hua Wang and David Wheeler 157
owned firms. For example, a careful audit of Indonesian factories undertaken in
1995 found that almost 70 percent of domestic plants failed to comply with
Indonesian water pollution regulations, while around 80 percent of the multina-
tional plants were fully compliant (Afsah and Vincent, 1997).
Better Methods of Environmental Regulation
Poor countries with weak regulatory institutions can reduce pollution signifi-
cantly by following a few basic principles. The first is focus. In many areas, relatively
few sources are responsible for most of the pollution (Hettige, Martin, Singh and
Wheeler, 1995; World Bank, 1999). Therefore, emissions can be significantly
reduced by targeting regulatory monitoring and enforcement on those dominant
sources.
Notable inroads against pollution have also been made where environmental
agencies in developing countries have begun moving away from traditional
command-and-control policies toward market-oriented forms of regulation. Pollu-
tion charges have proven feasible in developing countries, with successful imple-
mentation in China (Wang and Wheeler, 1996), Colombia, Malaysia and Philip-
pines (World Bank, 1999). In Colombia, for example, the recent implementation
of water pollution charges in the Rio Negro Basin reduced organic discharges from
factories by 52 percent during the program’s first year of operation. No participat-
ing factory seems to have experienced financial difficulties in the process (World
Bank, 1999). A pollution charge program in the Laguna Bay region of Philippines
reduced organic pollution by 88 percent during its first two years of operation
(World Bank, 1999). Similar conclusions have emerged from studies of regulation
and control costs in Malaysia (Jha, Markandya and Vossenaar, 1999; Khalid and
Braden, 1993).
Better Information
Until recently, relatively little was known about the economic damage associ-
ated with pollution in developing countries. During the past few years, however,
economic analyses have repeatedly shown that large cities in developing countries
suffer very high costs from pollution, even when damage is evaluated at conserva-
tive estimates of local opportunity costs (Dasgupta, Wang and Wheeler, 1997; Von
Amsberg, 1997; Calkins, 1994). Such evidence has induced rapid strengthening of
pollution control in the large cities of China, Brazil, Mexico and other developing
countries.
This improved information combines with pressures from citizens, govern-
ment, nongovernmental organizations and market agents to create pressures for
rapid enactment of stricter environmental regulations. Strong results have also
been obtained by programs that provide accessible public information about
polluters, pollution damages, local environmental quality and the cost of pollution
abatement. Such programs significantly improve the ability of local communities
to protect themselves, the ability of national regulators to enforce decent
environmental standards, and the ability of market agents to reward clean firms and
punish heavy polluters.
158 Journal of Economic Perspectives
International institutions such as the World Bank have begun supporting this
idea in collaborative programs with environmental agencies in Indonesia, Philip-
pines, China, India, Thailand, Vietnam, Mexico, Colombia, Brazil and elsewhere.2
In Indonesia and Philippines, pilot public disclosure programs have reduced
emissions from hundreds of large water polluters by 40-50 percent during a
two-year period (Afsah and Vincent, 1997; World Bank, 1999). After the success of
a pilot public disclosure program in two Chinese cities, the approach is now being
extended to an entire province, Jiangsu, with a population of approximately 100
million.
Cautionary Notes
In light of recent research and policy experience, the most plausible long-run
forecast is for rising, not falling, environmental quality in both high- and low-
income economies. Indeed, it is likely that the environmental Kuznets curve has
begun to flatten downward under the combined impact of economic liberalization,
improved information, and more stringent and cost-effective approaches to regu-
lating pollution under developing-country conditions. But although we are san-
guine about the prospects for combining economic growth and environmental
protection, we remain cautious optimists. At least four plausible concerns have
been raised.
Will Countries Need to Suffer Lower Environmental Quality in the Short and
Medium Run?
The conventional environmental Kuznets curve implies that vast areas of the
world-including much of Asia and Africa-will have to experience rising pollution
levels until their per capita incomes rise significantly. However, there is no evidence
to support the view that this would be economically advantageous. Several benefit-
cost analyses have made a persuasive case for stricter pollution control, even in very
low income economies. In China, for example, a recent study has shown that the
economic returns to pollution abatement would justify significant tightening of
regulation (Dasgupta, Wang and Wheeler, 1997). Studies in Indonesia (Calkins,
1994) and Brazil (Von Amsberg, 1997) have produced similar conclusions.
Countries whose economic policies induce a rapid expansion of income and
employment may experience severe environmental damage unless appropriate
environmental regulations are enacted and enforced. Economic analysis can be
employed to justify environmental regulatory policies that result in a flatter and
lower environmental Kuznets curve.
2 For more information about these programs, see the World Bank’s “New Ideas in Pollution Regula-
tion” website at (http://www.worldbank.org/nipr).
Confronting the Environmental Kuznets Curve 159
Globalization and the Risk of a Race to the Bottom
Perhaps the most commonly heard critique of the environmental Kuznets
curve is that even if such a relationship existed in the past, it is unlikely to exist in
the future because of the pressures that global competition places on environmen-
tal regulations. In the “race to the bottom” scenario, relatively high environmental
standards in high-income economies impose high costs on polluters. Shareholders
then drive firms to relocate to low-income countries, whose people are so eager for
jobs and income that their environmental regulations are weak or nonexistent.
Rising capital outflows force governments in high-income countries to begin relax-
ing environmental standards. As the ensuing race to the bottom accelerates, the
environmental Kuznets curve flattens and rises toward the highest existing level of
pollution.
In the United States, political opponents of the World Trade Organization
(WTO) frequently invoke elements of this model. For example, Congressman
David Bonior (1999) offered the following critique: “The WlTO, as currently
structured, threatens to undo internationally everything we have achieved nation-
ally-every environmental protection, every consumer safeguard, every labor vic-
tory.” Herman Daly (2000), an economist at the University of Maryland’s School of
Public Affairs, has recently provided a forceful statement of the race to the bottom
model.
Proponents of this model often recommend high environmental standards
that would be uniform around the world. For countries that are unwilling or unable
to enforce such standards, tariffs or other restrictions and penalties would be
imposed on exports of their pollution-intensive products to neutralize their cost
advantage as “pollution havens.” Proponents of free trade naturally view these
prescriptions as anathema, arguing that their main impact would be denial of jobs
and income to the world’s poorest people.
The race to the bottom model has an air of plausibility. It does appear that
polluting activities in high-income economies face higher regulatory costs than
their counterparts in developing countries (Jaffe, Peterson, Portney and Stavins,
1995; Mani and Wheeler, 1998). This creates an incentive for at least some highly
polluting industries to relocate. But how substantial is this incentive compared to
the other location incentives faced by businesses? To what extent have countries
actually been reducing their environmental standards to provide such location
incentives?
Research in both high- and low-income countries suggests that pollution
control does not impose high costs on business firms. Jaffe, Peterson, Portney and
Stavins (1995) and others have shown that compliance costs for OECD industries
are surprisingly small, despite the use of command-and-control regulations that are
economically inefficient. Firms in developing countries frequently have even lower
abatement costs, because the labor and materials used for pollution control are less
costly than in the OECD economies.
Numerous studies have suggested that, in comparison with other factors
considered by businesses, pollution-control costs are not major determinants of
160 Journal of Economic Perspectives
relocation (Eskeland and Harrison, 1997; Albrecht, 1998; Levinson, 1997; Van
Beers and van den Bergh, 1997; Tobey, 1990, Janicke, Binder and Monch, 1997).
More important factors include distance to market and infrastructure quality and
cost (Mody and Wheeler, 1992). In a study of Mexican maquiladora plants, Gross-
man and Krueger (1993) found that pollution abatement costs were not a major
determinant of imports from Mexico, while their unskilled labor component was of
paramount importance. Most OECD-based multinationals maintain nearly uniform
environmental standards in their national and international plants. They do so to
realize economies in engineering standards for design, equipment purchases and
maintenance; to reduce potential liability from regulatory action; and to guard
against reputational damage in local and international markets (Dowell, Hart and
Yeung, 2000).
In fairness, the evidence also suggests that pollution havens can emerge in
extreme cases (Xing and Kolstad, 1995). During the 1970s, for example, environ-
mental regulation tightened dramatically in the OECD economies with no coun-
tervailing change in developing countries. The regulatory cost differential was
apparently sufficient to generate a significant surge in production and exports of
pollution-intensive products from developing countries. Since then, however, reg-
ulatory changes in the developing countries have narrowed the gap and apparently
stopped the net migration of polluting industries (Mani and Wheeler, 1998). This
pattern of tighter environmental regulations in low-income countries runs counter
to the “race to the bottom” scenario.
Indeed, the scenario in which more heavily polluting industries locate in
low-income countries and export back to high-income countries appears to be an
incorrect description of actual patterns. In recent times, developing country im-
ports from high-income economies have been more pollution-intensive than their
exports to those economies (Mani and Wheeler, 1998; Albrecht, 1998).
In short, there are many reasons to be dubious about the race to the bottom
model. But perhaps the most powerful challenge to the model is a direct
assessment of its simple and robust prediction: After decades of increasing
capital mobility and economic liberalization, the race to the bottom should
already be underway and pollution should be increasing everywhere. It
should be rising in poor countries because they are pollution havens, and in
high-income economies because they are relaxing standards to remain cost-
competitive. Wheeler (2001) has tested these propositions using data on foreign
investment and urban air quality in China, Mexico and Brazil. Together, these
three countries received 60 percent of the total foreign direct investment for
developing countries in 1998. If the race to the bottom model is correct, then
air pollution should be rising in all three countries. Moreover, air quality should
be deteriorating in U.S. cities, since U.S. industrial imports from all three
countries have been expanding for decades.
As Figures 4 and 5 indicate, the converse is true: Instead of racing toward the
bottom, major urban areas in China, Brazil, Mexico and the United States have all
experienced significant improvements in air quality, as measured by concentrations
Susmita Dasgupta, Benoit Laplante, Hua Wang and David Wheeler 161
Figure 4
Foreign Investment and Air Pollution in China, Mexico and
Brazil
China
,* 500 – 40
._ \ S~~PM FDI _
_ sm 450 – yt -30
< | 400 - ~ *\ /20
5 C; 350 1- 1
be
300- – 0
1987 1989 1991 1993 1995
Notes: SPM is suspended particulate matter. FDI is foreign direct investment.
Mexico
60 14.5
40 -F 12.0 E
40 9.5
30 7.0 7.0
20 4.5 ‘H
10 I .
1989 1991 1993 1995 1997
Notes: SPM is suspended particulate matter. FDI is foreign direct investment.
Brazil
1- 55 10
z -n 140
0>l- O – F8 -_
*>.L 95- _ _ / – t 2 bc’
1985 1987 1989 1991 1993 1995 1997
Notes: PM-10 is suspended particulates less than ten microns in diameter. FDI is foreign direct
investment.
Source: Wheeler (2001).
of fine particulate matter (PM-10) or suspended particulate matter (SPM). Further
research is necessary before any definitive conclusions can be drawn, because
similar comparisons are currently unavailable for other pollutants. At present,
162 Journal of Economic Perspectives
Figure 5
Air Pollution in US Metropolitan Areas, 1988-1997
60
55 –
c 50 –
45 – Los Angeles
; Chicago
40 – Houston
–Atlanta
;,35 i – NewYork
30-
25
20 I
1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
Source: Wheeler (2001).
however, the available evidence strongly suggests that the pessimism of the race to
the bottom model is unwarranted.
Are Other Pollutants Rising? The Case of Toxic Chemicals
Even if one accepts the evidence that growth in per capita income can be
accompanied by reductions in well-known conventional pollutants, there is still a
question about whether other less-known pollutants and environmental hazards
may be rising with levels of per capita income.
One recent focus has been on emissions of toxic organic chemicals into the air
and water. Although some toxic chemicals are monitored in some industrialized
countries, they remain largely unregulated almost everywhere. Thornton (2000)
argues that conventional regulation has failed to control the proliferation of
organic chlorine compounds that are carcinogenic and mutagenic. He recom-
mends banning the whole family of chlorine compounds, which would be econom-
ically disruptive, to put it mildly. The international community has begun respond-
ing to such thinking for some “persistent” organic pollutants that are among the
organochlorines known to be most dangerous, because they accumulate in plant
and animal life. In May 2001, 127 countries signed a treaty to ban international
production and trade in twelve persistent organic pollutants, including PCBs,
dioxins, DDT and other pesticides that have been shown to contribute to birth
defects and cancer (“U.N. Treaty on Chemicals,” 2001).
Such concerns raise the possibility that economic development will always be
accompanied by environmental risks that are either newly discovered or generated
by the use of new materials and technologies. If this proves to be the case, the
Confronting the Environmental Kuznets Curve 163
recent treaty banning production and sale of persistent organic pollutants may be
a harbinger of broader regulatory changes that will affect both developed and
developing countries.
This issue provides a useful reminder that our understanding of environmen-
tal problems and remedies must develop over time. It seems unlikely that address-
ing pollution from organochlorines and other toxics will require measures as
radical as those suggested by Thornton (2000). However, it will clearly be inappro-
priate to declare conventional environmental protection a success if it reduces a
limited list of conventional pollutants while ignoring an ever-growing list of toxic
pollutants that may pose threats to future generations as well as this one.
Building Regulatory Capability
If per capita income and environmental quality are to increase together,
developing countries will require effective regulatory capabilities. These capabili-
ties include not only appropriate legal measures for regulation, but also effective
monitoring and enforcement of regulatory compliance. Better environmental gov-
ernance, broadly understood, involves the enactment of liberalizing economic
measures that affect pollution through their impact on an economy’s sectoral
composition and efficiency. It also includes the capability to develop and dissemi-
nate information about environmental quality and pollution sources, even if such
information may embarrass certain government officials in the short run. Much of
the pessimism about the prospects for environmental quality in developing coun-
tries is not about whether a win-win outcome is technically possible for the economy
and the environment, but whether these societies have the institutional capabilities
necessary for achieving such an outcome.
The evidence on how regulatory capability can be developed is sparse, but the
World Bank’s indicators of institutional and policy development provide grounds
for moderate optimism. It appears that productive public policy is correlated with
economic development-but that there is considerable variation in the relation-
ship. Some excellent economic performers have quite poor regulatory capability by
international standards. In turn, general policy indicators predict environmental
policy performance very well, but some countries with low overall policy ratings
have proven capable of focused efforts to protect critical environmental assets. The
most pronounced outliers are mostly countries where specific natural resources are
important determinants of tourist revenue, such as Maldives, Seychelles, Belize,
Ecuador and Bhutan. Apparently, even poorly administered societies can
strengthen regulation when environmental damage is clear, costly, and concen-
trated in a few sites. But these exceptions aside, it seems unlikely that broader
environmental regulation will outpace more general institutional reform. A full
response to the environmental challenge of globalization will therefore require
serious attention to long-run development of public sector administrative and
decision-making capacity.
Sustaining effective environmental regulation will also require the design of
appropriate financing mechanisms, some of which may depart from theoretically
164 Journal of Economic Perspectives
optimal measures under the conditions that prevail in developing countries. For
example, Colombia’s successful pollution charge program became politically fea-
sible only after regulators, industrialists, and public sewerage authorities agreed to
use part of the revenues to support local regulatory agencies and to invest the rest
in local environmental projects. Although traditional public finance theory does
not support earmarking revenues in this way, rather than balancing costs and
benefits of all spending choices, the program’s results have clearly compensated for
this conceptual flaw. Local financing may also prove to be critical during future
recessions, when Colombia’s central government may reduce support for national
monitoring and enforcement of regulations. However, accepting political reality
does not imply uncritical acceptance of any funding scheme. The designers of
Colombia’s system have stressed the application of clear benefit-cost criteria to local
financing of pollution reduction projects.
International Assistance
We believe that the international community can play a valuable role in
lowering and flattening the environmental Kuznets curve by financing appropriate
training, policy reforms, information gathering and public environmental educa-
tion. In our view, a steadily accumulating body of research and program experience
suggests two keys to rapid progress on this front. The first is support for programs
that provide public, easily accessible information about polluters, pollution dam-
ages, local environmental quality and the cost of pollution abatement. The second
is support for development of stronger regulatory institutions and cost-effective
measures to reduce pollution. Sustained support is critical, because institutional
development takes time.
We also believe that trade and aid sanctions are inappropriate and ineffective
levers for narrowing the regulatory gap between low- and high-income countries.
Such sanctions are unjust because they penalize both poor workers and the many
firms in developing countries that have excellent environmental performance
despite weak regulation (Huq and Wheeler, 1992; Hartman, Huq and Wheeler,
1997; Afsah and Vincent, 1997; World Bank, 1999). In any case, weak regulatory
institutions would prevent governments of low-income countries from delivering
on promises of OECD-level regulation, even if they were willing to make them. A
similar caveat applies to multilateral institutions such as the World Bank, whose
operating rules now mandate accounting for environmental risks in economic
reform programs. While it is important to avoid serious pollution damage during
rapid liberalization, it is also critical to support carefully targeted pollution control
programs whose long-run resource requirements are feasible for the recipient
countries.
* Particular thanks to David Shaman and Yasmin D’Souza for their support, and to Shakeb
Afsah, Hemamala Hettige, Mainul Huq, Muthukumara Mani, Craig Meisner, Kiran
Susmita Dasgupta, Benoit Laplante, Hua Wang and David Wheeler 165
Pendey and Sheoli Pargal for valuable contributions to the research and policy initiatives
reviewed in this paper. Thanks also to Timothy Taylor, Alan Krueger, Brad De Long and
Michael Waldman for valuable comments on an earlier draft.
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- Article Contents
- Issue Table of Contents
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The Journal of Economic Perspectives, Vol. 16, No. 1 (Winter, 2002), pp. 1-252+i-iv
Front Matter [pp. 1 – 2]
Symposium: Transition Economies
Transition Economies: Performance and Challenges [pp. 3 – 28]
The Political Economy of Transition [pp. 29 – 50]
Institutional Determinants of Labor Reallocation in Transition [pp. 51 – 76]
The Great Divide and Beyond: Financial Architecture in Transition [pp. 77 – 100]
Competition and Corporate Governance in Transition [pp. 101 – 124]
Environmental Policy since Earth Day I: What Have We Gained? [pp. 125 – 146]
Confronting the Environmental Kuznets Curve [pp. 147 – 168]
What Really Matters in Auction Design [pp. 169 – 189]
The Trouble with Electricity Markets: Understanding California’s Restructuring Disaster [pp. 191 – 211]
Features
Policy Watch: U.S. Disability Policy in a Changing Environment [pp. 213 – 224]
Data Watch: Research Data from Transition Economies [pp. 225 – 240]
Recommendations for Further Reading [pp. 241 – 248]
Notes [pp. 249 – 252]
Back Matter [pp. i – iv]