• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.511-544
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• 2007

He purpose of this paper is to estimate environmental efficiency and grasp the relationship between trade and environmental efficiency for 61 countries. Furthermore, we examine the environmental Kuznets relationship between environmental efficiency and GDP per capita and 'pollution haven hypothesis' as well. This paper implies that trade-related variables such as trade composition, the share of polluting exports and openness of a country are important determinants of environmental efficiency and especially, we confirmed existence of 'environmental Kuznets curve' but could not accept 'pollution haven hypothesis' in that 'foreign direct investment (FDI)' improves the environmental performance of pensioner nations.

• Environmental and Resource Economics Review
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• v.19 no.3
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• pp.571-595
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• 2010

This research applies an panel data stationarity and stochastic convergence test developed by Carrion-i-Silvestre et al. (2005), which has the advantage of considering multiple structural breaks and the presence of cross-section dependence in order to investigate the hypothesis that relative emission $CO_2$ per capita stochastically converge for 11 Asian countries from 1971~2007. We find that relative emission $CO_2$ per capita is stationary after the structural breaks and cross-section dependence are introduced into the model. We also investigate whether Environmental Kuznets Curve (EKC) hypothesis exists in 11 Asian countries. For EKC test, using the panel cointegration tests of Banerjee and Carrion-i-Silvestre (2006) and Westerlund and Edgerton(2007), we find that relative emission $CO_2$ per capita and relative GDP per capita are cointegrated. However EKC hypothesis in 11 Asian countries is not supported.

• Environmental and Resource Economics Review
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• v.25 no.1
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• pp.89-112
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• 2016

In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

• Asian Journal of Atmospheric Environment
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• v.3 no.1
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• pp.19-26
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• 2009

The environmental Kuznets curve hypothesis assumes an inverted U-shaped relationship between environmental damage and income, and such curves have been used to study how economic growth affects the environment. In this study, we analyzed data for gross domestic product (GDP) per capita and for sulfur emissions in the industrialized countries of the United Kingdom, United States of America, and Japan, as well as data for the developing country of China, to determine the relationship between emissions and income in these countries. Attempts by these countries' governments to incorporate environmental policy considerations into the income-environment relationship were also examined. The potential role of the environmental Kuznets curve as a policy tool was investigated. We determined that, at least in the case of sulfur emissions, policies and institutions significantly reduced environmental degradation in the industrialized countries studied. Furthermore, the environmental Kuznets curve can reliably predict the future relationship between environmental impact and GDP for developing countries.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.643-651
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• 2007

The Environmental Kuznets Curve Hypothesis postulates an inverted-U shaped relationship between GDP per capita and various pollutants. Pollutants emission increases up to a certain level as income goes up; after that, it decreases. This paper investigates the relationship between industry pollutants taking industrial sulfur dioxide omission as example, and economic growth by using province-panel data set from 1989 to 2004 in 28 provinces of P. R. China. The result shows that the EKC hypothesis may be supported in the case of industrial sulfur dioxide, and the GDP per capital of turning point is about RMB 13,548 (at 1978 price). Except Shanghai, all the provinces GDP per capital in this study are less than RMB 13,548, indicating the amount of industrial sulfur dioxide emission will be increasing in the near future. To realize sustainable development and pollutants abatement, the central and local government should adopt an integrated strategy to protect environment.

• Environmental and Resource Economics Review
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• v.22 no.3
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• pp.437-457
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• 2013

The purpose of this study is to explain the causes of the phenomenon that the Environmental Kuznets Curve hypothesis suggests that the increasing the emissions level of environmental pollutants starting to decrease as a certain income level is reached, associating microeconomic variables such as awareness level. Effects of the level of awareness differs depending on the characteristics of the impacts of pollutants- either regional or global. Furthermore, the study identifies that the impacts on the change in emissions inventory differ. The study empirically examines and concludes that the turning point where the emission level of environmental pollutants starts to decrease is over- or under-estimated if the differing responses between the level of awareness and its effect on pollutants are ignored. In addition, the level of emissions starts to decrease at a lower level of income in case of regional effect from pollutant than the global effect from it. Finally, the study implies that investing more efforts and resources to improve the level of people's awareness on environmental quality is effective if the government is to alter the increasing path of emission level.

• Environmental and Resource Economics Review
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• v.10 no.4
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• pp.619-632
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• 2001

The purpose of this study is to test the Kuznets Hypothesis on the relationship between environmental pollution and economic growth by using the panel data. The major results of the study can be summarized threefold as follows. First, previous studies can pose the risk of spurious regression because of the nature of non-stationery of the data used. Second, the result of the co-integration test indicates that the emission of $CO_2$ and per capita income are co-integrated. Finally, according to the results of OLS and DOLS estimation, the turning point in this study is set in far higher level of per capita income compared with those in previous studies.

• Journal of Environmental Policy
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• v.11 no.2
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• pp.55-71
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• 2012

This paper attempts to estimate the energy price elasticity of per capita $CO_2$ emissions, which helps to understand the influence of recent energy price increase on the natural reduction of $CO_2$ emissions. For this purpose, this study researched panel data of twenty-nine OECD countries from 1978 to 2009 and adopted estimation models for testing the environmental Kuznets hypothesis. Estimation results show that the 1% increase of energy price index will cause a statistically significant decrease of per capita $CO_2$ emissions by 0.26 ~ 0.31%, which is substantial enough for policy consideration. Also Kuznet curves in estimation models were identifed, the turning points of income lie between 22.2~48.5 thousand US dollars, depending on model specifications.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.295-303
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• 2022

This study investigates the impact of globalization, coal consumption, and economic growth on CO₂ emissions in Malaysia by applying the Kuznets Environmental Curve model. The study employed the Autoregressive Distributed Lag modeling technique on time series data over the period of 1970-2018 to determine the short and long-run relationship between CO₂ emissions and a number of variables, including globalization, coal consumption, and economic growth. The results show that globalization increase CO₂ emissions in both the short and long run in Malaysia. Furthermore, the results reveal that economic growth and coal consumption degrade the environmental quality by accelerating the CO₂ emissions in the short-run and long run. As a result, the findings validate the Kuznets Environmental Curve hypothesis of an inverted U-shaped relationship between economic growth and CO₂ emissions in the long run for Malaysia. The findings of this study suggest that higher globalization levels and usage of coal consumption degrade the environmental quality in Malaysia. The findings also indicate the effect of economic growth on environmental degradation is positive at the initial stage but improves after the economy achieves a threshold level of income per capita in the economic development process with an inverted U-shaped pattern in the long run.

• Journal of Wellbeing Management and Applied Psychology
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• v.2 no.2
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• pp.19-37
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• 2019

Over the last few decades, the atmospheric carbon dioxide emission has been amplified to a great extent in Turkey. This amplification may cause global warming, climate change and environmental degradation in Turkey. Consequently, ecological condition and human life may suffer in the near future from these indicated threats. Therefore, an attempt was made to test the relationship among a number of expected factors and carbon dioxide emissions in the case of Turkey. The study covers the time series data over the period of 1970-2017. We employed the modern econometric techniques such as Johansen co-integration, ARDL bound testing approach and the block exogeneity. The results of the Johansen co-integration test show that there is a significant long-run relationship between carbon dioxide emissions and expected factors. The long-run elasticities of the ARDL model show that a 1% increase in the GDP per capita, electric consumption, fiscal development and trade openness will increase carbon dioxide emissions by 0.14, 0.52, 0.09 and 0.20% respectively. Further, our findings reveal that the environmental Kuznets curve (EKC) hypothesis and inverted U-shaped relationship between carbon dioxide emission and economic growth prevails. Therefore, the EKC hypothesis is valid and prevailing in the Turkish economy. The diagnostic test results show that the parameters of the ARDL model are credible, sTable and reliable in the current form. Finally, Block exogeneity analysis displays that all the expected factors are contributing significantly to carbon dioxide emissions in the Turkish economy.