Health benefits of tunneling through the Chinese environmental Kuznets curve (EKC)

Brajer, Victor; Mead, Robert W.; Xiao, Feng

doi:10.1016/j.ecolecon.2007.11.002

Cited by 70 publications

(34 citation statements)

References 49 publications

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“…Others argue that EKC relationships might be only expressions of the effects of trade, different shares of services in national economies, and the distribution of polluting industries between countries [16]. Brajer et al (2008, [17]) also noticed that the appearance of an inverted U shape configuration in the EKC is highly dependent on which indicators are chosen to describe environmental degradation.…”

Section: Heterogeneous Development Pathsmentioning

confidence: 99%

Carbon Intensities of Economies from the Perspective of Learning Curves

Pacini

Silveira

2014

CiS

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While some countries have achieved considerable development, many others still lack access to the goods and services considered standard in the modern society. As CO 2 emissions and development are often correlated, this paper employs the theoretical background of the Environmental Kuznets Curve (EKC) and the learning curves toolkit to analyze how carbon intensities have changed as countries move towards higher development (and cumulative wealth) levels. The EKC concept is then tested with the methodology of learning curves for the period between 1971 and 2010, so as to capture a dynamic picture of emissions trends and development. Results of both analyses reveal that empirical data fails to provide direct evidence of an EKC for emissions and development. The data does show, however, an interesting pattern in the dispersion of emissions levels for countries within the same HDI categories. While data does not show that countries grow more polluting during intermediary development stages, it does provide evidence that countries become more heterogeneous in their emission intensities as they develop, later re-converging to lower emission intensities at higher HDI levels. Learning rates also indicate heterogeneity among developing countries and relative convergence among developed countries. Given the heterogeneity of development paths among countries, the experiences of those which are managing to develop at low carbon intensities can prove valuable examples for ongoing efforts in climate change mitigation, especially in the developing world.

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Section: Heterogeneous Development Pathsmentioning

confidence: 99%

Carbon Intensities of Economies from the Perspective of Learning Curves

Pacini

Silveira

2014

CiS

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“…In fact, the energy consumption in the CPUA region is mainly caused by coal burning, which generates high levels of industrial SO 2 and dust. Technological investment represents the level of regional science and technology [15,18]. The higher the technological investment, the more effective the production mode.…”

Section: Data Collection and Variable Descriptionmentioning

confidence: 99%

“…This is due to the specific features of China's economic models and resource consumption structure. For example, Brajer et al [15] used China's urban panel data to verify the relationship between economic growth and SO 2 pollution. The results confirmed the existence of the EKC hypothesis in China, and found that technological progress was an important factor to mitigate environmental pollution.…”

Section: Environmental Kuznets Curve With Spatial Econometricsmentioning

confidence: 99%

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

et al. 2018

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Promoting the rise of Central China is one of the most important national strategies regarding the promotion of China's economic development. However, the environmental issues in the central regions have become remarkably severe. It is therefore worthwhile exploring how economic development and environmental protection can be coordinated. Focusing on the 29 prefecture-level cities in the Central Plains Urban Agglomeration, the authors empirically analyze the relationship between the economy and the environment from 2004 to 2014. The combined methods of the spatial autocorrelation model, the environmental Kuznets curve, and the global spatial correlation test are systematically employed. The results show that: (1) a strong spatial correlation exists between industrial wastewater discharge, industrial sulfur dioxide, and dust emissions in the Central Plains Urban Agglomeration; (2) the relationship between the economy and the environment of this urban agglomeration reveals an inverted "U" curve, which confirms the classical environmental Kuznets curve hypothesis. Industrial dust emissions have surpassed the inflection point of the Kuznets curve, but its spatial spillover effect still remains strong. This is caused by an accumulation effect and a lag effect; (3) the proportion of the secondary industry and population has a strong positive effect on pollution discharge; investments in science and technology have a certain inhibitory effect on industrial sulfur dioxide emission. Moreover, an increase in the number of industrial enterprises has a negative effect on industrial wastewater emission. At the end, the authors put forward policy recommendations regarding the establishment of a joint supervisory department and unified environmental standards at the regional level to deal with the spillover effects of pollution.

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“…This result is in conformity with that of Halicioglu (2009), Akpan et al (2012) who find that an increase in the consumption of power results in the rise of CO 2 emissions in Turkey and Nigeria respectively. Also, Brajer et al (2007) show that an increase in the population density is associated an increase in the carbon dioxide emissions in China.…”

Section: Estimation Results Of the Basic Modelmentioning

confidence: 99%

Effects of Economic Growth on CO2 Emissions in the “Congo Basin” Countries

Nkengfack¹,

Fotio²

2014

IJEF

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This study examines the effects of economic growth on the carbon dioxide (CO 2 ) emissions of a sample of four countries of the Congo Basin. Cointegration tests by the distributed lags or AutoRegressive Distributed Lags (ARDL) developed by Pesaran et al. (1997Pesaran et al. ( , 2001) is applied to data on Cameroon, Congo, Gabon and the Democratic Republic of Congo for the period from 1978 to 2012 and indicates the existence of a long term relationship between the variables. The results show that the economic growth has a positive impact on CO 2 emissions in these countries. Also, the consumption of energy, population density and industrial activities increase CO 2 emissions significantly in these countries, while the commercial opening does not have a significant impact.

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Health benefits of tunneling through the Chinese environmental Kuznets curve (EKC)

Cited by 70 publications

References 49 publications

Carbon Intensities of Economies from the Perspective of Learning Curves

Carbon Intensities of Economies from the Perspective of Learning Curves

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

Effects of Economic Growth on CO2 Emissions in the “Congo Basin” Countries

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