Environmental productivity and Kuznets curve in India

As a result of India's extremely rapid economic growth, the scale and seriousness of environmental problems are no longer in doubt. Whether pollution abatement technologies are utilized more efficiently is crucial in the analysis of environmental management because it influences the cost of alternative production and pollution abatement technologies. In this study, we use state-level industry data of sulfur dioxide, nitrogen dioxide, and suspended particular matter over the period 1991-2003. Employing recently developed productivity measurement technique, we show that overall environmental productivities decrease over time in India. Furthermore, we analyze the determinants of environmental productivities and find environmental Kuznets curve type relationship existences between environmental productivity and income. Panel analysis results show that the scale effect dominates over the technique effect. Therefore, a combined effect of income on environmental productivity is negative.     

EFFECT OF INCOME DISTRIBUTION ON THE ENVIRONMENTAL KUZNETS CURVE

This paper augments the model of Andreoni and Levinson by analyzing the effect of income distribution on the inverted U‐shaped relationship between some forms of pollution and income, the so‐called ‘environmental Kuznets curve’. In a context in which pollution abatement technology shows increasing returns to scale and an inverse U‐shaped pollution–income path is present, this study demonstrates the existence of a majority voting equilibrium, and concludes that the inverted U‐shaped relationship is between median income and environmental degradation rather than between per capita income and environmental degradation. Our results suggest that an increase in equality in income distribution improves environmental quality and social efficiency. The implication of the model for the empirical estimation of environmental Kuznets curves is examined using a panel data set of 36 countries over a 20‐year period. Estimation results using different models show that income distribution might be an important factor in the empirical estimation of these curves.     

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.     

A cointegration analysis of seafood import demand in Caribbean countries

This article re-examines the relationship between growth in per capita income and environmental degradation using econometric techniques appropriate for smooth transition regressions with panel data. This is a more intuitive and flexible methodology than the polynomial models widely used in the literature, and it can reconcile some of the mixed results found previously. The methodology is applied to carbon dioxide emissions from nonOECD countries over the period 1971 to 1997. Although there is no evidence of environmental Kuznets curve, we find two regimes, namely a low-income regime where emissions accelerate with economic growth and a middle to high-income regime associated with a deceleration in environmental degradation.     

Dynamics of environmental quality and economic development: the regional experience from Yangtze River Delta of China

This article investigates the dynamic relationship between economic progress and environmental quality at a regional level. An important economic intuition in this context is that environmental degradation will be limited by human behaviour if costs and benefits of such degradation are local since economic agents will then be incentivized to choose appropriate corrective action. Therefore, we note the likelihood that regional economic development can help regions ‘grow out of’ environmental problems. Using a new data set from Yangtze River Delta of China, we find a strong confirmation of the intuition that human can and will resolve the environmental problem by altering the damaging behaviour of economic agents. A very interesting finding of this study is that the relationship between environmental quality and economic progress measured by per capita income can display a wave-like function in the case of water pollution, as opposed to the much dramatized environmental Kuznets curve, with significant policy implications.     

FDI视角的环境库兹涅茨假说检验——基于中国中部八省的面板数据

环境库兹涅茨假说认为环境污染指标先随收入的提高而增加,而后随收入的提高而下降。本文利用1985-2008年中国中部八省大气污染、污水和固体废弃物（＂三废＂）等环境质量指标的面板数据,从FDI的视角对中国中部经济发展与环境污染关系进行了库兹涅茨假说检验。结果显示,中国中部八省没有严格意义上的倒U型环境库兹涅茨曲线,FDI对中部各省环境的影响存在差异,数据回归结果也没有支持污染天堂假说。     

Energy consumption,income, and carbon emissions in the United States

This paper investigates the effect of energy consumption and output on carbon emissions in the United States. Earlier research focused on testing the existence and/or shape of an environmental Kuznets curve without taking energy consumption into account. We investigate the Granger causality relationship between income, energy consumption, and carbon emissions, including labor and gross fixed capital formation in the model. We find that income does not Granger cause carbon emissions in the US in the long run, but energy use does. Hence, income growth by itself may not become a solution to environmental problems.     

Interrelationships between income,health and the environment: extending the Environmental Kuznets Curve hypothesis

This paper examines the link between the health indicators and the environmental variables for a cross-section of countries widely dispersed on the economic development spectrum. While environment and income are seen to have an inverted-U shaped relationship (Environmental Kuznets Curve (EKC) hypothesis), it is also well established that environment and health are positively related. Our study focuses on the implications of this for the relationship between health and income. In the early phases of income growth, the gains in health and the losses in environmental quality could cancel each other out and this challenges the idea that as incomes increase health would always improve. To empirically analyse these issues, we estimate a two-stage least squares model that focuses on the impact of income and the environment on health status, with environment being an endogenous variable. Our results show that the environmental stress variable has a significant negative effect on health status. At the same time, gross national product (GNP) levels are shown to vary positively with health status variables. We find that the health gains obtained through improved incomes can be negated to a significant extent if the indirect effect of income acting via the environment is ignored. Research findings in this regard would be a useful policy instrument towards maximising both the environmental and health gains that come with economic growth and development.     

How County-Level Agricultural Loans and Fiscal Expenditure Impact Rural Residents’ Income in China——An Empirical Study of the Hierarchical Effect by Quantile Regression

Using cross-sectional data from 853 counties in 11 western China provinces, we employ quantile regression (QR) and instrumental variable quantile regression (IVQR) to investigate the hierarchical effect of fiscal expenditure and agricultural loan on rural residents’ income. We find: (1) the relationship between agricultural loan and income is consistent with the inverted U-shape (Kuznets curve); (2) the coefficient of quantile regression for rural residents’ loan gradually decreases; particularly, the impact on the high-income group is insignificant (at 0.90 quantile); (3) for 0.10 and 0.50 quantile, the increase of fiscal expenditure would hinder rather than promote income growth; (4) the restraining effect becomes more pronounced for the lower groups; in contrast, there is a significant positive relationship between income and fiscal expenditure for 0.90 quantile’s income group. Implications for government policy formulation are propounded accordingly.     

Income growth and atmospheric pollution in Spain: An input-output approach

The relationships between economic growth and environmental pressures are complex. Since the early nineties, the debate on these relationships has been strongly influenced by the Environmental Kuznets Curve hypothesis, which states that during the first stage of economic development environmental pressures increase as per capita income increases, but once a critical turning point has been reached these pressures diminish as income levels continue to increase. However, to date such a delinking between economic growth and emission levels has not happened for most atmospheric pollutants in Spain. The aim of this paper is to analyse the relationship between income growth and nine atmospheric pollutants in Spain. In order to obtain empirical outcomes for this analysis, we adopt an input-output approach and use NAMEA data for the nine pollutants. First, we undertake a structural decomposition analysis for the period 1995-2000 to estimate the contribution of various factors to changes in the levels of atmospheric emissions. And second, we estimate the emissions associated with the consumption patterns of different groups of households classified according to their level of expenditure.     

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.     

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.     

Inequality and Economic Growth: A Global View Based on Measures of Pay

This paper discusses two issues in the relationship betweeninequality and economic growth: the data and the econometrics.We first review the income inequality data set of Deiningerand Squire (D&S), which, we argue, fails to provide eitheradequate or accurate coverage, whether through time or acrosscountries. We then introduce our own measures of the inequalityof manufacturing pay, based on UNIDO's Industrial Statistics.These provide indicators of pay inequality that are more stable,more reliable and in our view also more comparable across countries,than the D&S data. Turning to the fabled "Kuznets" relationship between inequalityand economic development, we diagnose several common econometricproblems in the literature, including measurement error andomitted variable bias. By taking steps to account for theseproblems, and by introducing a more complete panel data setbased on pay inequalities, we seek more reliable inferencesconcerning the relationship between inequality, national incomeand economic growth. We find evidence that generally supportsKuznets' specification for industrializing countries: pay inequalitytends to decline as per capita income increases, though withsome tendency for the relationship to curve up for the richestcountries. After 1981 two findings emerge. First, per capitaGDP growth slowed dramatically in most countries, increasinginequality along the augmented Kuznets curve. Second, thereis a global and macroeconomic effect that produces rising inequalityin our data, independent of GDP or its changes. The timing ofthis effect suggests a link to the high real interest ratesand global debt crisis of the period beginning in 1982. (JELC23, D31, J31, O11)     

经济增长与环境质量:来自中国省际面板数据的证据

环境库兹涅茨曲线是经济增长与环境污染之间呈倒U型关系的曲线,即随着经济增长,环境质量先恶化,当经济发展到一定程度,环境质量又会逐渐改善。文章基于中国1991—2003年29个省级区域环境质量与人均GDP的数据,利用工业废水、废气、固体排放物等变量与人均GDP拟合方程验证环境库兹涅茨曲线假说。研究结果验证了环境库兹涅茨假说,人口密度和外商直接投资对不同的污染物有不同的影响,而工业发展对这三种污染物排放的影响比较大,因此加强产业结构的调整将有助于改善环境质量。     

Entrepreneurship and income inequality: a spatial panel data analysis

The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.     

我国经济增长与环境质量关系的再检验

建立了经济增长与环境质量的关系理论模型,利用1985—2008年全国时间序列数据,通过相关分析、协整分析分别建立了工业三废与经济增长之间的回归模型,对经济增长与环境质量之间的关系进行了实证分析。结果表明:我国环境质量与经济增长之间并不存在EKC"倒U"关系;经济增长、产业结构、技术要素和污染治理都是影响环境质量的重要因素。     

Modeling income inequality and openness in the framework of Kuznets curve: New evidence from China

This article tests the relationship between openness and income inequality in openness Kuznets curve framework. The Auto Regressive Distributed Lag (ARDL) estimator is employed to establish the long run relationship between openness and income inequality. We add to the literature by noting that Kuznets curve fits the relationship between openness and income equality in the case of China. This evidence is new and in line with the Kuznets hypothesis that income inequality rises with the increase of openness and then starts fall after a critical point.     

Taking the “U” out of Kuznets: A comprehensive analysis of the EKC and environmental degradation

Unlike most Environmental Kuznets Curve (EKC) studies which focus on narrow measures of pollution as proxies for environmental quality, we test the validity of the EKC using the Ecological Footprint (EF), a more comprehensive measure of environmental degradation. We find no empirical evidence of an EKC relationship between the EF and economic development, and only limited support for such a relationship among the components of the EF. In addition, we discover that energy is largely responsible for the lack of an EKC relationship, and that energy consumption levels would have to be cut by over 50% in order for a statistically significant EKC relationship to emerge from the data. Overall, these results suggest that growth alone will not lead to sustainable development.     

The income inequality curve in the last 100 years: What happened to the Inverted-U?

This paper examines the shape of the curve that represents the long-run relationship between income inequality and economic growth, using data from four developed countries (USA, UK, France, and Germany) over the period 1915 – 2014. The analysis is carried using a panel data technique (fixed, random, and interactive effects) that takes into account common shocks. We find that in the long-term, this curve has the shape of an “N-shape” and that the Kuznets curve does not explain this path. We also present many factors that may affect the path of inequality up or down, the most important is political, economic and demographic, specifically technological change, globalization, social transfers, economic policies, trade unions, taxation, education, war, and epidemics.     

我国城乡居民收入分配差距研究

本文利用我国1987-2009年的相关统计数据,以全国和东部、中部、西部地区为出发点,将区域教育发展、城市化水平、产业结构、经济开放度和政府经济行为等多个影响城乡居民收入分配差距的因素同时纳入到面板数据模型之中,实证研究了我国城乡居民收入分配差距与其影响因素之间是否存在Kuznets"倒U"关系。研究结果发现:在全国范围内,教育产出、城市化水平与城乡居民收入差距之间存在显著的"倒U"现象;东部地区的经济开放度与城乡居民收入差距之间存在显著的"倒U"现象;教育投入、政府经济行为、产业结构与城乡居民收入差距之间不存在"倒U"现象。针对以上研究结论,我们提出了一系列解决我国城乡居民收入分配差距的政策和建议,为政府制定相关政策提供有益的参考。