Spatial spillover effects of environmental pollution in China's Central Plains Urban Agglomeration

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.

[1]  Bernard Fingleton,et al.  Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties , 2008 .

[2]  Muhammad Shahbaz,et al.  Environmental Kuznets Curve hypothesis in Pakistan: Cointegration and Granger causality , 2012 .

[3]  V. Brajer,et al.  Health benefits of tunneling through the Chinese environmental Kuznets curve (EKC) , 2008 .

[4]  Y. School.  Endogeneity in the Environmental Kuznets Curve : An Instrumental Variables Approach , 2017 .

[5]  Murat Çetin,et al.  The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries , 2016 .

[6]  M. Hauff,et al.  Environmental Kuznets Curve (EKC): Implications on Economic Growth, Access to Safe Drinking Water and Ground Water Utilisation in India , 2015 .

[7]  Richard Culas,et al.  Deforestation and the environmental Kuznets curve: An institutional perspective , 2007 .

[8]  S. Polasky,et al.  Environmental, economic, and energetic costs and benefits of biodiesel and ethanol biofuels. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Hemamala Hettige,et al.  Industrial pollution in economic development: the environmental Kuznets curve revisited , 2000 .

[10]  N. Brozović,et al.  Optimal Management of Environmental Externalities with Time Lags and Uncertainty , 2017 .

[11]  Jill L. Caviglia-Harris,et al.  Taking the "U" out of Kuznets: a comprehensive analysis of the EKC and environmental degradation. , 2009 .

[12]  Christophe Rault,et al.  The Environmental Kuznets Curve and Sustainability: A Panel Data Analysis , 2014, SSRN Electronic Journal.

[13]  Azlinda Azman,et al.  EVIDENCE OF THE ENVIRONMENTAL KUZNETS CURVE: IMPLICATIONS OF INDUSTRIAL TRADE DATA , 2013 .

[14]  M. D. Ugarte,et al.  Introduction to Spatial Econometrics , 2011 .

[15]  Matthew A. Cole,et al.  Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages , 2004 .

[16]  L. Anselin.  Spatial Econometrics: Methods and Models , 1988 .

[17]  Soumyananda Dinda.  Environmental Kuznets Curve Hypothesis: A Survey , 2004 .

[18]  Arturo H. Ariño,et al.  Communication gaps in knowledge of freshwater fish biodiversity: implications for the management and conservation of Mexican biosphere reserves. , 2011, Journal of fish biology.

[19]  W. Greene,et al.  计量经济分析 = Econometric analysis , 2009 .

[20]  S. Hammami,et al.  Economic growth, FDI inflows and their impact on the environment: an empirical study for the MENA countries , 2017 .

[21]  R. Kaufmann,et al.  Long-Run Changes in Radiative Forcing and Surface Temperature: The Effect of Human Activity over the Last Five Centuries , 2016 .

[22]  J. Jennings.  Geographical Implications of the Municipal Housing Programme in England and Wales 1919-39 , 1971 .

[23]  Theodore Panagiotidis,et al.  On the stationarity of per capita carbon dioxide emissions over a century , 2013 .

[24]  R. Elliott,et al.  Industrial activity and the environment in China: An industry-level analysis , 2008 .

[25]  J. Paul Elhorst,et al.  Dynamic spatial panels: models, methods, and inferences , 2012, J. Geogr. Syst..

[26]  Miao Changhon.  The nature of urban agglomeration space and the construction of Zhongyuan Urban Agglomeration , 2015 .

[27]  A. Jaradat,et al.  Air Pollution and Economic Growth in MENA Countries: Testing EKC Hypothesis , 2015 .

[28]  Ilhan Ozturk,et al.  Testing Environmental Kuznets Curve hypothesis in Asian countries , 2015 .

[29]  Canfei He,et al.  Economic transition, urbanization and population redistribution in China , 2016 .

[30]  Arsenio Stabile,et al.  Land consumption and income in Italy: a case of inverted EKC , 2017 .

[31]  Shuo Wang,et al.  A Microeconomics Explanation of the Environmental Kuznets Curve (EKC) and an Empirical Investigation , 2017 .

[32]  Luc Anselin,et al.  Properties of Tests for Spatial Dependence in Linear Regression Models , 2010 .

[33]  N. Bockstael,et al.  Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS , 1997 .

[34]  Junrui Zhou,et al.  An elaborate high resolution emission inventory of primary air pollutants for the Central Plain Urban Agglomeration of China , 2014 .

[35]  M. Jong,et al.  Economic transformation in the Beijing-Tianjin-Hebei region: Is it undergoing the Environmental Kuznets Curve? , 2017 .

[36]  D. Broitman,et al.  The Life Cycle of Cities , 2016 .

[37]  Renjin Sun,et al.  Impact of natural gas consumption on CO 2 emissions: Panel data evidence from China’s provinces , 2017 .

[38]  E. Zervas,et al.  The Environmental Kuznets Curve (EKC) theory—Part A: Concept, causes and the CO2 emissions case , 2013 .

[39]  Tian Bin.  The extension of regional Environmental Kuznets Curve and its determinants: An empirical research based on spatial econometrics model , 2012 .