The EKC for SO2: Does firm size matter?

The environmental Kuznets curve hypothesis (EKC) predicts an inverse U-shaped relationship between environmental pollution and per capita income. The literature with respect to the EKC is vast but far from conclusive. This paper adds firm size to the standard EKC reduced form regression and analyses whether firm size matters once income and composition are controlled for. Results suggest that large firm countries are initially associated with higher levels of environmental damage. However, as economies develop, large firm countries find it easier to adopt more stringent environmental legislation. Once environmental damage starts to decrease, the decrease is much larger in large firm countries.     

Functional sensitivity of testing the environmental Kuznets curve hypothesis

Conventional tests for the environmental Kuznets curve (EKC) hypothesis mostly apply a quadratic equation in modeling the non-linear relationship between environmental indices (such as air pollutants) and welfare measures (such as income per capita). If their inverted-U shaped pattern is empirically accepted with two significant regressors, the income per capita and its square transformation, the EKC hypothesis is supported. Using an OECD sample, this paper shows that the validity of testing the EKC hypothesis is sensitive to how we transform income non-linearly in sulfur and carbon EKC regressions. This paper carries out experiments on different powers of γ for transforming income non-linearly and concludes that only when 0 < γ < 1 and 1 < γ < 2 will the EKC regression demonstrate a testable non-linear cointegration relationship between the two air pollutants and income per capita. In the generalized EKC regressions estimated in this paper, although we find sulfur and carbon EKC patterns in the OECD sample, none of the EKC regressions using different γ is a cointegrating equation. This finding implies an inside critique to the EKC literature that failure of cointegration of the conventional EKC regression is not because of using the quadratic functional form, but because of the fundamentally spurious relationship between the trends of pollutants and income levels.     

Functional sensitivity of testing the environmental Kuznets curve hypothesis

Conventional tests for the environmental Kuznets curve (EKC) hypothesis mostly apply a quadratic equation in modeling the non-linear relationship between environmental indices (such as air pollutants) and welfare measures (such as income per capita). If their inverted-U shaped pattern is empirically accepted with two significant regressors, the income per capita and its square transformation, the EKC hypothesis is supported. Using an OECD sample, this paper shows that the validity of testing the EKC hypothesis is sensitive to how we transform income non-linearly in sulfur and carbon EKC regressions. This paper carries out experiments on different powers of γ for transforming income non-linearly and concludes that only when 0 < γ < 1 and 1 < γ < 2 will the EKC regression demonstrate a testable non-linear cointegration relationship between the two air pollutants and income per capita. In the generalized EKC regressions estimated in this paper, although we find sulfur and carbon EKC patterns in the OECD sample, none of the EKC regressions using different γ is a cointegrating equation. This finding implies an inside critique to the EKC literature that failure of cointegration of the conventional EKC regression is not because of using the quadratic functional form, but because of the fundamentally spurious relationship between the trends of pollutants and income levels.     

Are There Income Effects on Global Willingness to Pay for Biodiversity Conservation?

This paper is concerned with the empirical relationship between biodiversity conservation values and income. We use random effects panel models to examine the effects of income, and then GDP per capita, on willingness to pay for habitat and biodiversity conservation. In a meta-analysis, 145 Willingness To Pay estimates for biodiversity conservation where existence value plays a major role were collected from 46 contingent valuation studies across six continents. Other effects included in the meta-analysis were the study year; habitat type; continent; scope as presented to respondents; whether WTP bids were for preventing a deterioration or gaining an improvement in conservation, whether a specific species or specific habitat was protected; whether the questionnaire used a dichotomous choice or an open-ended format; distribution format; and the choice of payment vehicle. GDP per capita seemed to perform as well as an explanatory variable as respondent’s mean stated income, indicating that it is wealth in society as a whole which determines variations in WTP. Even if large variation, our main conclusion is, that the demand for biodiversity conservation rises with a nation’s wealth, but the income elasticity of willingness to pay is less than one.     

Does Ecological Footprint Impede Economic Growth? An Empirical Analysis Based on the Environmental Kuznets Curve Hypothesis

This paper examines the relationship between income and environmental quality using environmental Kuznets curve (EKC) hypothesis. The hypothesised link is tested using time‐series analysis of 22 countries over the period 1961–2011. The degree of environmental impacts of economic activity is measured using ecological footprint (EF) per capita as explanatory variable, while real gross domestic product (GDP) per capita and its quadratic and cubic forms are used as predictor variables in these countries. First, the EKC hypothesis is tested through examining the relationship between EF and GDP using linear, quadratic and cubic functions. Further, the long‐run relationship between EF and GDP is investigated using a vector error correction model. It was found that there is a cointegrated relationship between the variables in almost all countries, which was statistically significant, and EKC supported in 10 countries. Additionally, almost all error correction terms are correct in sign and are significant, which implies that some percentage of disequilibria in EF in the previous year adjusts back to the long‐run equilibrium in the current year. Therefore, an efficient trade‐off between environmental protection and economic benefits should be taken, and EF should be reduced through changing consumption patterns, improving the efficiency of use of resources and cleaner technology choices.     

二氧化碳排放与经济增长关系的EKC检验——对我国东、中、西部地区的一项比较

根据环境库兹涅茨曲线理论,本文选用1996—2008年中国省域面板数据,研究了东、中、西部地区人均碳排放EKC的存在性。研究结果表明：第一,东、中部地区存在人均碳排放EKC,而西部地区入均碳排放与经济增长呈线性关系。第二,东、中部地区人均碳排放EKC拐点到达的时间不同,东部地区较晚而中部地区较早,并且碳排放强度下降会促使拐点提前到达。第三,东、中、西部地区人均碳排放均存在较强的排放惯性,当期经济增长会对未来几年的环境质量产生影响。     

Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? A new perspective

ABSTRACT

This study has attempted to address prior knowledge gaps in the environmental economics literature by integrating the innovation shocks into the Environment Kuznets Curve (EKC) equation for twenty-six OECD economies using data from 1990 to 2014. Foreign direct investment (FDI), exports (EXP), renewable energy consumption (REC), and GDP per capita were included as control variables. The results from multiple empirical analyses indicated that positive shocks to innovation improve, but the negative shocks disrupt environmental quality. Data analyses also showed that a positive correlation exists between income per capita of OECD economies. From the negative coefficient of income per capita (squared) and the existence of a negative nexus between FDI and CO2e, both the EKC and the Pollution Halo Hypothesis (PHH) were confirmed in sampled economies, respectively. The paper offers empirical support for the favourable impacts of REC on the quality of the environment and calls for the adoption of innovation shocks as a policy instrument to formulate better environmental policies for a sustainable future.     

A consumption-based approach to environmental Kuznets curves using the ecological footprint indicator

Recent research suggests that consumption-based measures offer an insightful perspective on the debate on the relationship between economic growth and the environment. In this article we deepen the consumption-based line of inquiry by investigating the empirical evidence in support of the environmental Kuznets hypothesis using 2001 ecological footprint data for 141 countries. We perform Ordinary Least Squares and Weighted Least Squares analysis on linear, quadratic and cubic functions, in standard and logarithmic specifications, as candidate models to represent the relationship between per capita income and environmental pressure. We replicate the cross country analysis also by estimating the regression function directly, through a nonparametric regression. In our analyses, with and without weighing data by population, the results do not show evidence of de-linking.     

Wealth,Natural Capital,and Sustainable Development: Contrasting Examples from Botswana and Namibia

Theoretical work has demonstrated that sustainable development requires non-declining per capita wealth, where wealth is defined to include produced, natural, human and social capital. Several studies have attempted to measure total national wealth or changes in wealth, but have been seriously hampered by a lack of data, especially for natural and human capital. To address this problem, the UN and other international statistical agencies developed a standardized framework for environmental accounts, the System of integrated Environmental and Economic Accounts (SEEA). Using the newly available asset accounts for natural capital, national wealth accounts are constructed and used to assess the contrasting development paths of Botswana and Namibia. Botswana, with an explicit policy of reinvestment of resource rents, has roughly tripled per capita wealth and national income over the past two decades. Namibia, with no explicit policy to use natural capita to build wealth, has seen per capita wealth and income decline.     

Dynamite in the EKC tunnel? Inconsistencies in resource stock analysis under the environmental Kuznets curve hypothesis

Recent studies incorporating consumption into the relationship between GDP and conservation increasingly reveal that economic prosperity does not lead to improvements in environmental quality, even in cases where rich countries may appear to protect a greater proportion of their domestic resources. This study reinforces those findings for forest and species conservation across two groups of countries. Additionally, through explicit comparison with two previous EKC studies, I enable an illustration of precisely how EKC results are affected by the incorporation of consumption and highlight persistent problems with EKC analyses. Despite general linear modeling results showing that wealthy countries drive deforestation in poorer countries through the import of forest resources, EKC analyses can still indicate improvements in conservation for wealthier countries. Such contradictions suggest that recent methodological improvements to the EKC cannot guarantee the validity of evidence from EKC analyses. Poor quality of resource stocks data, the restrictive time scales that can be examined with those data, and the lack of consistent results across different groups of countries all speak to continued inadequacies of the EKC hypothesis and the need to focus on approaches that address actual behavior patterns exhibited by different income groups.     

Does S. Kuznets's belief question the Environmental Kuznets Curves?

Abstract.  This paper examines the link between pollution and income. The main purpose is to assess whether the introduction of income inequality in a Environmental Kuznets Curve (EKC) analysis can give new insights into the relationship between pollution and economic growth. The EKC hypothesis proposes that there is an inverted U‐shape relation between environmental degradation and income per capita. We question this common result, in a simple model where the income inequality evolution is exogenous and where the planner could use only one instrument. For a set of parameter values we find, for example, a two‐hump curve. JEL classification: D3, H4, Q2.     

Some empirics of the bivariate relationship between average subjective well-being and the sustainable wealth of nations

The World Bank's Millennium Capital Assessment (MCA) has provided per capita estimates of total wealth and its major subcategories for a large number of countries. In this article, these macro-level estimates are used to explore bivariate cross-country ‘wealth–happiness’ relationships, focussing on issues of appropriate functional form, parameter stability and outliers. For comparative purposes, ‘income–happiness’ relationships are also explored. Total wealth turns out to be strongly related to Gross National Income (GNI) per capita, due to the importance of produced and intangible capital, but not to natural capital. In contrast, when the most natural capital intensive countries are excluded as outliers, a strong relationship emerges between Subjective Well-Being (SWB) and natural capital, especially amongst high income countries. In these countries, natural capital seems to be an important wealth correlate of SWB, despite accounting for only a very small proportion of total wealth.     

Testing convergence of European regions: A semiparametric approach

We provide a reappraisal of income convergence across European regions over the last two decades by using a semiparametric partially linear model to approximate the relationship between the average growth rate of GDP per capita and the initial GDP per capita. Estimation results point out both country heterogeneity and non-linearity in the convergence process. The findings suggest that low income regions, in particular those from new adhesion countries, diverge while medium income regions converge and that there is no evidence of convergence for high income regions.     

Economic growth and the environment: Theory and facts

Several recent papers propose competing theoretical explanations for the empirical observation of an inverted U-shape relationship between environmental degradation and per-capita income. We propose the following test of the theory: calibrate a theoretical model to an already developed economy using information unrelated to the pollution–income curve. Then simulate the model starting from a less developed initial condition and compare the predicted pollution–income relationship with that in the data. Our results are mixed. Some support exists for the theory that the inverted U-shape results from a corner solution in which less developed countries do not abate pollution. However, because we find abatement is relatively inexpensive, the model predicts pollution peaks at a level of per capita income much lower than that observed in our U.S. data. For some pollutants, we find evidence of a structural break in preferences in the early 1970s. When the structural break is added, the model performs better for two of three pollutants.     

On poverty traps,thresholds and take-offs

Recent studies on economic growth focus on persistent inequality across countries. In this paper we study mechanisms that may give rise to such persistent inequality. We consider countries that accumulate capital in order to increase the per capita income in the long run. We show that the long-run growth dynamics of those countries can generate a twin-peak distribution of per capita income. The twin-peak distribution is caused by (1) locally increasing returns to scale and (2) capital market constraints. These two forces give rise to a twin-peaked distribution of per capita income in the long run. In our model investment decisions are separated from consumption decisions and we thus do not have to consider preferences. Empirical evidence in support of a twin-peak distribution of per capita income is provided.     

ECONOMIC FREEDOM AND INCOME LEVELS ACROSS U.S. STATES: A SPATIAL PANEL DATA ANALYSIS

There is a large literature estimating the effect of economic freedom on economic growth or income levels. Most studies examine the relationship between economic freedom and growth or income levels for countries, while a few examine the relationship for U.S. states. Absent in the state‐level literature is consideration of the presence of spatial spillovers affecting the freedom‐income relationship. Neglecting to account for spatial autocorrelation can bias estimation results and therefore inferences drawn. We find evidence of a spatial pattern in real per‐capita gross state product (GSP) that affects nonspatial estimates of the freedom‐income relationship. Taking into account the direct and indirect effects of economic freedom on real per‐capita GSP, we find a 10% increase in economic freedom is associated with a 5% increase in real per‐capita GSP. (JEL E02, O47, R11)     

Revisiting carbon Kuznets curves with endogenous breaks modeling: evidence of decoupling and saturation (but few inverted-Us) for individual OECD countries

This paper tests for a carbon Kuznets curve (CKC) by examining the carbon emissions per capita–GDP per capita relationship individually, for 21 OECD countries over 1870–2010 using a reduced-form, linear model that allows for multiple endogenously determined breaks. This approach addresses several important econometric and modeling issues, e.g., (1) it is highly flexible and can approximate complicated nonlinear relationships without presuming a priori any particular relationship; (2) it avoids the nonlinear transformations of potentially nonstationary income. For 10 of 14 countries that were ultimately estimated, the uncovered emission–income relationship was either (1) decoupling—where income no longer affected emissions in a statistically significant way, (2) saturation—where the emissions elasticity of income is declining, less than proportional, but still positive, or (3) no transition—where the emissions elasticity of income is (or very near) unity. For only four countries did the emissions–income relationship become negative—i.e., a CKC. In concert with previous work, we conclude that the finding of a CKC is country-specific and that the shared timing among countries is important in income-environment transitions.     

NEOCLASSICAL GROWTH AND THE DISTRIBUTION OF CONSUMPTION

Abstract.  The neoclassical growth model is used to compare an economy with growing per capita income with an economy with stationary per capita income, in terms of equity in distribution of consumption. The economies have the same initial conditions including the same initial wealth distribution. The outcome of the comparison depends on the nature of structural differences between the economies. Even with convergence in wealth distribution in the growing economy, the consumption distribution there may be less equitable and dynasties with least initial levels of wealth may be worse off than dynasties with same initial wealth levels in the stationary economy.     

Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions

The measurement of natural capital and its management during the economic development process are important aspects of the capital approach to sustainable development. However, the assessment of social welfare in terms of genuine savings (or changes in total wealth per capita) is arguably too limited. This paper tries to make a case for the incorporation of subjective well-being measures in debates about sustainable development by exploring the macro-level relationship between subjective well-being and natural capital in a cross-country setting. It is tested whether natural capital per capita is correlated with subjective well-being in a sample of fifty-eight developed and developing countries, using natural capital data from the World Bank's Millennium Capital Assessment. Bivariate regressions indicate that it is. When multiple regression models are estimated that include (a) major country-level determinants of subjective well-being (GNI per capita, social capital, income distribution, unemployment, inflation), and (b) regional dummy variables for ex-Soviet Union and Latin American countries, the positive correlation remains. The role of data outliers is carefully explored, and the sensitivity of the results to the use of alternative subjective well-being measures (i.e. life satisfaction, happiness, and a combined life satisfaction and happiness index) is investigated. This does not change the nature of the results. The findings arguably strengthen the case for a ‘new welfare economics of sustainability’ that takes subjective well-being measures into account.     

海南省经济增长和工业“三废”污染关系探析

根据海南省2000～2006年经济与环境数据,分析经济发展与环境污染的相互关系,建立了海南省经济增长与环境污染水平的计量模型。研究表明：海南省经济增长与环境污染水平之间不完全符合典型的EKC特征,＂三废＂排放量呈明显的三次曲线特征,函数曲线呈＂U型＋倒U型＂。