Environmental Kuznets curve: Evidence from the British Household Panel Survey

A well-known hypothesis providing support for a policy that emphasizes economic growth at the expense of environmental protection is the environmental Kuznets curve (EKC) hypothesis. Although this relation has been mainly explored at the macro-economic level, there are few researches examining micro-economic level. This study looks for empirical evidence between air pollution and income using social data from the British Household Panel Survey during the period 1991–2009. The first approach refers to a fixed effects model, the second to dynamic panel data and Arellano–Bond GMM, while the third approach concerns a binary Logit model with fixed effects. The current study's fixed effects results show that there is no evidence of EKC hypothesis for the air pollutants examined. On the contrary, there is a strong evidence of EKC hypothesis for the air pollutants examined based on Arellano–Bond GMM and logit model's results with fixed effects and all the types of household income indicating that EKC hypothesis holds. Furthermore, regarding personal income, using the Arellano–Bond GMM methodology, the EKC hypothesis does not hold. This indicates that air pollution and income might be based on communitarian arrangements instead of on individualistic actions.     

基于环境库兹涅茨曲线分析经济发展与环境问题的再思考

环境库兹涅茨曲线（EKC）是西方经济学的一种假说,是用于研究经济发展（收入）与环境关系而设计的一种模型和方法。本文以江苏为例,分析经济发展与环境污染之间的关系,进而寻找突破EKC拐点的发展路径。影响经济与环境的原因比较复杂,与当地经济发展水平和发展模式、产业结构、技术水平、环境政策、环境法律和国民素质等因素有关。在运用EKC进行实证分析的基础上,应借鉴发达国家的经验,加快产业转型,积极主动地治理环境。大力调整产业结构,优化经济发展,从源头上减少环境污染。加大环保资金投入,加快环保项目的研究和转化,从技术上突破环境治理的难题。建立一套科学的环境政策机制和监管制度,从机制、制度上保障环境质量的显著提高。     

收入、收入类别与环境库兹涅茨曲线

利用2000-2009年我国省际面板数据,对人均收入、收入类别与六种污染指标之间的关系进行了实证检验.结果表明:环境库兹涅茨倒U型关系取决于污染指标的选择,在样本期内,部分污染指标呈现出倒U型EKC关系;在倒U型曲线的转折点处,城镇人均可支配收入的临界水平高于农村人均纯收入的临界水平.     

经济增长与环境的关系——基于对CO2环境库兹涅茨曲线的实证研究

在对"环境库兹涅兹假说"暗含的同质假设前提提出质疑的基础上,对165个国家进行分组检验后发现,"高工业、高收入"国家出现了"环境库兹涅茨曲线"的"倒U"型趋势,"低工业、低收入"国家出现微弱"倒U"型趋势,"低工业、高收入"国家表现出了"~"型趋势,而"高工业、低收入"国家环境污染与收入增长同步。     

Empirical Analysis of National Income and SO2 Emissions in Selected European Countries

The linkage between per capita GDP and sulfur emissions for 12 Western European countries was analyzed over a period of more than 150 years. The analysis also looked at the impact of air pollution regulations on the shape of the income–pollution relationship. At both the aggregate and country levels, we find an inverted U-shaped relationship and the estimated turning points of most countries are plausible. In addition, environmental regulations are found to lower the EKC and they can also shift the turning point of the curve. In some cases, the shift is to the left and in a few to the right.     

Openness and the Environmental Kuznets Curve: Evidence from China

This paper investigates the relationship in China between trade, growth and emissions using provincial-level data for water (chemical oxygen demand: COD) and air (sulphur dioxide: SO₂). It analyses the period 1990–2007 in three steps. First, the income ‘turning point’ of the Environmental Kuznets Curve (EKC) has been estimated using quadratic log function and obtained a turning point consistent with existing studies. Second, adopting Dean's (2002) simultaneous equations system, the relationships between trade, growth and emissions has been estimated and the results confirm the dominance of scale effects over technique effects. Third, the estimated per capita turning point for EKC is used to split the provincial industrial database into two groups (below and above turning point income) and simultaneous equations are estimated separately for them. The split sample provided limited support for the trade-induced emissions hypothesis for COD, but not for SO_2. At the provincial level rising incomes via increased levels of international trade were associated with falling COD due to the technique effect, so that rising incomes among the provinces tended to be associated with lower emissions. Stricter environmental regulations are required for growing incomes because they may encourage better production techniques.     

Quantifying Central Hypotheses on Environmental Kuznets Curves for a Rich Economy: A Computable General Equilibrium Study

We investigate whether the future relationships between several pollutants and per capita income in rich countries may assume the inverted U‐forms of Environmental Kuznets Curves (EKC). The emission‐augmenting effect of scaling up aggregate economic activity can be counteracted by greener composition of production and consumption, technological progress, and increased demand for environmental quality and policy. To quantify the importance of these central hypotheses, we use a CGE model with endogenous policy for Norway. Our results suggest significant future effects of all these three counteracting mechanisms. For most local and regional pollutants, they may be strong enough to prolong the falling emission trends. However, we cannot rely on reductions in emissions of climate gases and some transport‐related local pollutants. Our results also indicate that pollution leakages abroad are likely to take place.     

A panel data heterogeneous Bayesian estimation of environmental Kuznets curves for CO2 emissions

This article investigates the Environmental Kuznets Curves (EKC) for CO₂ emissions in a panel of 109 countries during the period 1959 to 2001. The length of the series makes the application of a heterogeneous estimator suitable from an econometric point of view. The results, based on the hierarchical Bayes estimator, show that different EKC dynamics are associated with the different sub-samples of countries considered. On average, more industrialized countries show evidence of EKC in quadratic specifications, which nevertheless are probably evolving into an N-shape based on their cubic specification. Nevertheless, it is worth noting that the EU, and not the Umbrella Group led by US, has been driving currently observed EKC-like shapes. The latter is associated to monotonic income–CO₂ dynamics. The EU shows a clear EKC shape. Evidence for less-developed countries consistently shows that CO₂ emissions rise positively with income, though there are some signs of an EKC. Analyses of future performance, nevertheless, favour quadratic specifications, thus supporting EKC evidence for wealthier countries and non-EKC shapes for industrializing regions.     

Empirical study on the determinants of CO2 emissions: evidence from OECD countries

This article empirically investigates the Environmental Kuznets Curve (EKC) for CO₂ emissions in the cases of 11 OECD countries by taking into account the role of nuclear energy in electricity production. The autoregressive distributed lag approach to cointegration is employed as the estimation method. Our results indicate that energy consumption has a positive impact on CO₂ emissions in most countries in the study. However, the impact of trade is not statistically significant. The results provide evidence for the role of nuclear power in reducing CO₂ emissions only in some countries. Additionally, although the estimated long-run coefficients of income and its square satisfy the EKC hypothesis in Finland, Japan, Korea and Spain, only Finland's EKC turning point is inside the sample period of the study, providing poor evidence in support of the EKC hypothesis.     

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.     

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.     

江苏苏南地区环境库茨涅茨曲线实证研究

EKC假说是指在经济发展早期环境质量逐渐恶化,经济发展到一定水平后,环境质量会逐渐改善,即环境压力和经济增长之间呈倒U形关系。文章以苏南地区1986—2004年经济发展和环境面板数据为基础,建立了苏南地区经济发展和工业污染排放的计量模型,以此来分析苏南地区经济增长与环境污染的演替轨迹。结果表明苏南地区环境污染与经济增长之间呈现N型波动EKC特征,工业污染排放量随着人均GDP的快速提高而波浪式地不断恶化,而不同于以往的经典理论中倒U型的形状。苏南地区依然处于污染排放量的增长期,如何抓住机遇,调整产业结构,加大环保投入,转变经济增长方式,平稳地实现转折,实现环境和经济的双赢是苏南地区可持续发展和率先实现全面小康的首要问题。     

The Role of Natural Resources in Economic Development

Economists now recognize that, along with physical and human capital, environmental resources should be viewed as important economic assets, which can be called natural capital. Three recent debates have emerged over the role of natural capital in economic development. First, as many ecological services are unique, does the environment have an “essential” role in sustaining human welfare, and if so, are special “compensation rules” required to ensure that future welfare is not worsened by natural capital depletion today? Second, the environmental Kuznets curve (EKC) hypothesis has fostered empirical estimations of an “inverted U” shaped relationship between a variety of indicators of environmental pollution or resource depletion and the level of per capita income. Does the existence of such EKC relationships suggest that environmental degradation will eventually decline with growth? Finally, recent economic theories and empirical evidence have questioned whether lower income economies that are endowed with abundant natural resources develop more rapidly than economies that are relatively resource poor. Is it possible that resource abundant economies are not reinvesting the rents generated from natural resource exploitation into productive assets, or that resource booms actually divert economic resources from more productive and innovative sectors?     

A Dynamic Model of the Environmental Kuznets Curve: Turning Point and Public Policy

We set up a simple dynamic macroeconomic model with (i) polluting consumption and a preference for a clean environment, (ii) increasing returns in abatement giving rise to an EKC and (iii) sustained growth resulting from a linear final-output technology. There are two sorts of market failures caused by external effects associated with consumption and environmental effort. The model is employed to investigate the determinants of the turning point and the cost effectiveness of different public policies aimed at a reduction of the environmental burden. Moreover, the model offers a potential explanation of an N-shaped pollution–income relation. It is shown that the model is compatible with most empirical regularities on economic growth and the environment.      

Consumer Capital as the Source of Happiness: The Missing Economic Theory Underlying the Income-Happiness Paradox

Self-reported happiness does not generally increase with rising income, as established by Richard Easterlin. We argue that the current debate in economics about the income-happiness paradox has paid too little attention to the theoretical foundation of the expected positive relation between income and happiness, seeking an empirical resolution through better data and more elaborate estimating equations instead. We return to the history of economics and revisit the contributions of Irving Fisher and Kenneth Boulding for the missing economic theory that underlies the income-happiness paradox. According to both Fisher and Boulding, “consumer capital” is the ultimate source of welfare, whereby consumer capital is defined as an accumulated stock of tangible and intangible instruments that yield a stream of services over their useful life. In the view of Fisher and Boulding, it is the utilization of this capital stock that renders happiness to individuals. Moreover, income that pays for the goods of consumption can be a “bad,” reflecting the cost of maintaining the consumer capital stock. Therefore, Fisher and Boulding’s insights bring a new perspective to the Easterlin paradox, showing that the empirical finding that rising income contributes only little, if anything, to levels of happiness has been overemphasized at the expense of the theoretically more relevant relation between consumer capital and happiness, and the exact role of income therein.     

Cleaner Technologies and the Stability of International Environmental Agreements

This paper shows that if countries are farsighted when deciding whether to defect from a coalition, then the implementation of cleaner technologies, as embodied by a reduction in the emission per output ratio, may either improve or jeopardize the chances of reaching an international environmental agreement. A small change in the emission per output ratio can result in a discrete jump in the stable size of a coalition and global welfare evaluated under the stable coalition size. In the case of three countries, the grand coalition may be destabilized by the implementation of cleaner technologies, ultimately resulting in higher global emissions and lower global welfare. In the case of more than three countries, implementing cleaner technologies may result in a discrete jump, either upward or downward, of the largest stable coalition size and welfare. We examine both, the case of a flow and that of a stock pollutant. In the latter case, we show that the higher the stock of pollution at the instant when the cleaner technology is implemented, the more likely that a grand coalition of three countries is destabilized. Measures that enhance the natural rate of decay of stock pollutants are shown to have similar effects on the size of stable coalitions to reductions in the emission per output ratio.     

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.     

An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data

This paper extends the empirical debate on the effects of corruption on environmental degradation by considering a recently available measure of environmental quality, the Environmental Performance Index. This indicator is more comprehensive than the measures of air pollutant emissions commonly used in the literature and, in particular, can also capture the impact of pollution on human health. This allows for a better understanding of the actual effects of a wide range of human activities on the ecosystem. From a panel data analysis, two regularities emerge. First, corruption deteriorates the overall environmental quality. This effect is robust and persistent. Second, our findings highlight the improvement of environmental quality as income rises, even at an initial level of development. This is not in contradiction with the EKC hypothesis because an increase in income levels provides positive externalities on the whole environmental quality by compensating the mere negative effects induced by industrialization on the emission levels. As a consequence, in emerging economies, policies fighting corruption and enhancing development are very likely to improve the environmental performances.     

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.