Journal of Geoscience and Environment Protection

Volume 5, Issue 10 (October 2017)

ISSN Print: 2327-4336   ISSN Online: 2327-4344

Google-based Impact Factor: 0.72  Citations  

Environmental Pollution and Economic Growth in China: A Test of the Environmental Kuznets Curve

HTML  XML Download Download as PDF (Size: 1471KB)  PP. 92-100  
DOI: 10.4236/gep.2017.510008    1,490 Downloads   3,906 Views  Citations

ABSTRACT

We apply a two pronged approach to analyze the presence of Environmental Kuznets Curve, EKC, in three types of emissions in the People’s Republic of China from 1994 to 2014: a structural breakpoint analysis and a model based test. We apply it to PM2.5, industrial waste and domestic water pollution time series, and find evidence of EKC in all three types of emissions that require appropriate policy.

Share and Cite:

Hu, J. , Hernandez-del-Valle, A. and Martinez-Garcia, M. (2017) Environmental Pollution and Economic Growth in China: A Test of the Environmental Kuznets Curve. Journal of Geoscience and Environment Protection, 5, 92-100. doi: 10.4236/gep.2017.510008.

Cited by

[1] The pathway to China's carbon neutrality based on an endogenous technology cge model
International Journal of Environmental …, 2022
[2] The Impact of Political Incentives Received by Key Local Officials on Enterprises' Green Innovations for the Development and Construction of Ecological Civilization in …
Sustainability, 2022
[3] Comparative study of environmental performance in Yangtze River Economic Belt under different standards
环境工程技术学报, 2020
[4] 差异化标准下长江经济带省际环境绩效比较研究
环境工程技术学报, 2020
[5] Spatial Spillover Effect and Sources of City-Level Haze Pollution in China: A Case Study of Guangdong Provinces.
2020
[6] Pollution and City Competitiveness: A Descriptive Analysis
2019
[7] Spatial Spillover Effect and Sources of City-Level Haze Pollution in China: A Case Study of Guangdong Provinces
Pol. J. Environ. Stud., 2019
[8] Crescimento econômico, energias renováveis e emissões de carbono no Brasil: uma análise de causalidade

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.