Another look at the income elasticity of non-point source air pollutants: a semiparametric approach

Roy, Nilanjana; Kooten, G. Cornelis van

doi:10.1016/j.econlet.2004.02.016

Cited by 24 publications

(11 citation statements)

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“…Millimet and Stengos (2000), and Millimet et al (2003), used semiparametric partially linear models for US data, and obtained EKCs for SO 2 and NO x , and N-shaped curves for some other pollutants (stack air releases, water releases, underground injections, and total pollutants emissions). Roy and van Kooten (2004) and CO 2 they find a positive relationship at low incomes which flattens out before increasing again for high incomes.…”

Section: Literature Overview On the Ekcmentioning

confidence: 78%

Economic development and CO2 emissions: A nonparametric panel approach

Azomahou¹,

Laisney²,

Nguyen-Van³

2006

Journal of Public Economics

329

135

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Die Discussion Papers dienen einer möglichst schnellen Verbreitung von neueren Forschungsarbeiten des ZEW. Die Beiträge liegen in alleiniger Verantwortung der Autoren und stellen nicht notwendigerweise die Meinung des ZEW dar.Discussion Papers are intended to make results of ZEW research promptly available to other economists in order to encourage discussion and suggestions for revisions. The authors are solely responsible for the contents which do not necessarily represent the opinion of the ZEW.Download this ZEW Discussion Paper from our ftp server:ftp://ftp.zew.de/pub/zew-docs/dp/dp0556.pdf Non technical summaryThe relationship between economic development and environmental quality has been extensively explored in recent years. The shape of this relationship has implications for the definition of an appropriate joint economic and environmental policy. In the literature, this animated debate revolves around the existence of an Environmental Kuznets Curve, which implies that, starting from low levels of income per capita, environmental degradation increases, but after a certain level of income (turning point) it diminishes.This study investigates the question of the existence of an EKC using a nonparametric approach. In this framework, no a priori parametric functional form is assumed for modelling the relationship between carbon dioxide (CO 2 ) emissions and GDP per capita. The main reason for studying CO 2 emissions is that they play a focal role in the current debate on environmental protection and sustainable development. CO 2 has been recognized by most scientists as a major source of global warming through its greenhouse effects. Another reason is that CO 2 emissions are directly related to the use of energy, which is an essential factor in the world economy, both for production and consumption. Therefore, the relationship between CO 2 emissions and economic growth has important implications for environmental and economic policies.To estimate this relationship, we use information drawn from several data sets. CO 2 emissions measured in metric tons are obtained from the data base of the Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory. Real GDP per capita series, measured in thousand constant dollars at 1985 prices, are drawn from the Penn World Table 5.6. The resulting data set, a balanced panel of 100 countries, covers the period 1960-1996.We first consider the issue of structural stability of the relationship between CO 2 emissions and GDP per capita, and we find evidence of structural stability of the relationship over the period . Based on this result, the panel nature of the data allows us to specify a nonparametric model that accounts for heterogeneity across countries. We find that the relationship between CO 2 emissions and GDP per capita is upward sloping, and that the usually adopted polynomial functional form which leads to the environmental Kuznets curve in several studies is rejected against our nonparametric model. Moreover, by comparing different estimation methods ...

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Section: Literature Overview On the Ekcmentioning

confidence: 78%

Economic development and CO2 emissions: A nonparametric panel approach

Azomahou¹,

Laisney²,

Nguyen-Van³

2006

Journal of Public Economics

329

135

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“…Studies that find evidence for the existence of the EKC include Baek and Kim (2013); Carson, Jeon, and McCubbin (1997); Cole, Rayner, and Bates (1997); Grossman and Krueger (1991); Hettige, Lucas, and Wheeler (1992); Hilton and Levinson (1998); Martinez-Zarzoso and Maruotti (2011); Panayotou (1993Panayotou ( , 1997; Selden and Song (1995); Shafik and Bandyopadhyay (1992); Song, Zheng, and Tong (2008); Wagner (2008). Studies that find no significant relationship, monotonic increasing relationship, or N-shaped relationship between the measured levels of environmental degradation and income include Caviglia-Harris, Chambers, and Kahn (2009); Grossman and Krueger (1995); HoltzEakin and ; Koop and Tole (1999); Roy and van Kooten (2004); Yang, He, and Chen (2015). Studies that find mixed results include Brajer, Mead, and Xiao (2011);Cropper and Griffiths (1994); Onafowora and Owoye (2014) and Shafik (1994).…”

Section: The Ekc Theory and Evidencementioning

confidence: 94%

Population growth and the environmental Kuznets curve

Wang

Zhang

2015

China Economic Review

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This paper provides a specific application of the environmental Kuznets curve (EKC) in order to explain the effect of population growth on the environment. The main purpose is contributing to enhance the connection between theoretical and empirical analysis. We develop an overlapping generations (OLG) model that featured with an inverted U-shaped relationship between pollution emission and income and we examine the effect of population growth on this relationship. Simulations illustrate the model's predictions that positive population growth makes the EKC steeper and have higher peak, but it does not fundamentally change the pollution-income relationship. The econometric analysis finds evidence supporting our model's predictions using Chinese data at the province level.

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“…This paper aims to provide a robust estimation of the profile of the relationship between energy consumption and income, which would help us to intervene convincingly in the discussion for the existence of an EKC for energy. 2 To this end, we use a semiparametric partially linear panel model, which has the advantage to avoid the misspecification problem that may arise in parametric EKC studies as pointed out by Taskin and Zaim (2000), Roy and van Kooten (2004), Bertinelli and Strobl (2005), Millimet et al (2003), and Azomahou et al (2006). To our knowledge, the only work on energy that deals with nonparametric techniques is Luzzati and Orsini (2009).…”

Section: Contents Lists Available At Sciencedirectmentioning

confidence: 98%

Energy consumption and income: A semiparametric panel data analysis

Nguyen-Van

2010

Energy Economics

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This paper proposes a semiparametric analysis for the study of the relationship between energy consumption per capita and income per capita for an international panel dataset. It shows little evidence for the existence of an environmental Kuznets curve for energy consumption. Energy consumption increases with income for a majority of countries and then stabilizes for very high income countries. Neither changes in energy structure nor macroeconomic cycle/technological change have significant effect on energy consumption.

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Another look at the income elasticity of non-point source air pollutants: a semiparametric approach

Cited by 24 publications

References 11 publications

Economic development and CO2 emissions: A nonparametric panel approach

Economic development and CO2 emissions: A nonparametric panel approach

Population growth and the environmental Kuznets curve

Energy consumption and income: A semiparametric panel data analysis

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