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Spatial Econometric Analysis on the Exports-PM2.5 Emissions Nexus: Evidence from the Chinese Smog Provinces

DOI: 10.4236/oalib.1107358, PP. 1-22

Subject Areas: Economics, International Economics, Environmental Economics

Keywords: PM2.5 Emission, Exports, STIRPAT Model, Spatial Econometric Panel Model, China

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The study presents an empirical analysis to investigate the effect of export volume and significant factors on PM2.5 emissions in the highest concentrations of air pollution provinces in China during 1998-2015. This paper proposes a spatial econometric model based on an extended Stochastic Impact by Regression on Population, Affluence, and Technology (STIRPAT) model. The results revealed evidence that spatial spillover effects of PM2.5 emissions exist among major provinces. Provinces in the northeast, south-central China, and north China regions have more potential in reducing PM2.5 emissions. Exports per capita have negative and significant effects on PM2.5 emissions, which revealed that an increase in own-province exports per capita would reduce the PM2.5 concentrations of both own province and the neighboring provinces. Also, the results confirm the existence of an inverted-U shaped Environmental Kuznets Curve (EKC) between PM2.5 emissions and economic growth. Surprisingly, the study doesn’t validate the pollution haven hypothesis (PHH). Along a similar line, the empirical evidence has shown that the private vehicle has a significant impact on PM2.5 concentrations, whereas energy intensity exerts a negative effect. Other policy suggestions put forth for policymakers on reducing PM2.5 emissions.

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Yahia, A. A. M. and Li, Z. (2021). Spatial Econometric Analysis on the Exports-PM2.5 Emissions Nexus: Evidence from the Chinese Smog Provinces. Open Access Library Journal, 8, e7358. doi:


[1]  Hao, Y., Liu, S., Lu, Z.-N., Huang, J. and Zhao, M. (2018) The Impact of Environmental Pollution on Public Health Expenditure: Dynamic Panel Analysis Based on Chinese Provincial Data. Environmental Science and Pollution Research, 25, 18853-18865.
[2]  Michieka, N.M., Fletcher, J. and Burnett, W. (2013) An Empirical Analysis of the Role of China’s Exports on CO2 Emissions. Applied energy, 104, 258-267.
[3]  Luo, K., Li, G., Fang, C. and Sun, S. (2018) PM2.5 Mitigation in China: Socioeconomic Determinants of Concentrations and Differential Control Policies. Journal of Environmental Management, 213, 47-55.
[4]  Allaby, M. (2014) Fog, Smog, and Poisoned Rain. Infobase Publishing, New York.
[5]  Han, L., Zhou, W., Pickett, S.T.A., Li, W. and Li, L. (2016) An Optimum City Size? The Scaling Relationship for Urban Population and Fine Particulate (PM2.5) Concentration. Environmental Pollution, 208, 96-101.
[6]  Agarwal, A.K., Singh, A.P., Lukose, J. and Gupta, T. (2013) Characterization of Exhaust Particulates from Diesel Fueled Homogenous Charge Compression Ignition Combustion Engine. Journal of Aerosol Science, 58, 71-85.
[7]  Xia, Y., Guan, D., Jiang, X., Peng, L., Schroeder, H. and Zhang, Q. (2016) Assessment of Socioeconomic Costs to China’s Air Pollution. Atmospheric Environment, 139, 147-156.
[8]  World Health Organization (2016) Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease. Clean Air Journal, 26.
[9]  Warner, K. (2010) Global Environmental Change and Migration: Governance Challenges. Global Environmental Change, 20, 402-413.
[10]  Xu, Y., Fan, X., Zhang, Z. and Zhang, R. (2020) Trade Liberalization and Haze Pollution: Evidence from China. Ecological Indicators, 109, Article No. 105825.
[11]  National Bureau of Statistics, China (2018)
[12]  Yahia, A.A., Li, Z., Ebaidalla, E.M. and He, J. (2021) Exploring the Impact of Exports on Clean Energy Consumption in China: An Empirical Study. Asian Development Policy Review, 9, 44-56.
[13]  Andrew, R., Peters, G.P. and Lennox, J. (2009) Approximation and Regional Aggregation in Multi-Regional Input-Output Analysis for National Carbon Footprint Accounting. Economic Systems Research, 21, 311-335.
[14]  Xu, R. and Lin, B. (2017) Why Are There Large Regional Differences in CO2 Emissions? Evidence from China’s Manufacturing Industry. Journal of Cleaner Production, 140, 1330-1343.
[15]  Xu, S.-C., Li, Y.-W., Miao, Y.-M., Gao, C., He, Z.-X., et al. (2019) Regional Differences in Nonlinear Impacts of Economic Growth, Export and FDI on Air Pollutants in China Based on Provincial Panel Data. Journal of Cleaner Production, 228, 455-466.
[16]  Zhao, H., Zhang, Q., Huo, H., Lin, J., Liu, Z., Wang, H., et al. (2016) Environment-Economy Tradeoff for Beijing-Tianjin-Hebei’s Exports. Applied Energy, 184, 926-935.
[17]  Lin, F. (2017) Trade Openness and Air Pollution: City-Level Empirical Evidence from China. China Economic Review, 45, 78-88.
[18]  Ning, Y., Miao, L., Ding, T. and Zhang, B. (2019) Carbon Emission Spillover and Feedback Effects in China Based on a Multiregional Input-Output Model. Resources, Conservation and Recycling, 141, 211-218.
[19]  Du, H., Guo, J., Mao, G., Smith, A.M., Wang, X. and Wang, Y. (2011) CO2 Emissions Embodied in China-US Trade: Input-Output Analysis Based on the Emergy/Dollar Ratio. Energy Policy, 39, 5980-5987.
[20]  Wang, Y., Bi, F., Zhang, Z., Zuo, J., Zillante, G., Du, H., et al. (2018) Spatial Production Fragmentation and PM2.5 Related Emissions Transfer through Three Different Trade Patterns within China. Journal of Cleaner Production, 195, 703-720.
[21]  Franco, C., Montresor, S. and Marzetti, G.V. (2011) On Indirect Trade-Related R&D Spillovers: The “Average Propagation Length” of Foreign R & D. Structural Change and Economic Dynamics, 22, 227-237.
[22]  Seck, A. (2012) International Technology Diffusion and Economic Growth: Explaining the Spillover Benefits to Developing Countries. Structural Change and Economic Dynamics, 23, 437-451.
[23]  Du, H., Liu, H., Zhu, K. and Zhang, Z. (2020) Re-Examining the Embodied Air Pollutants in Chinese Exports. Journal of Environmental Management, 253, Article ID: 109709.
[24]  Meng, J., Liu, J., Guo, S., Huang, Y. and Tao, S. (2016) The Impact of Domestic and Foreign Trade on Energy-Related PM Emissions in Beijing. Applied Energy, 184, 853-862.
[25]  Xu, B. and Lin, B. (2018) What Cause Large Regional Differences in PM2.5 Pollutions in China? Evidence from Quantile Regression Model. Journal of Cleaner Production, 174, 447-461.
[26]  Prell, C., Sun, L., Feng, K. and Myroniuk, T.W. (2015) Inequalities in Global Trade: A Cross-Country Comparison of Trade Network Position, Economic Wealth, Pollution and Mortality. PLoS ONE, 10, e0144453.
[27]  Ji, X., Yao, Y. and Long, X. (2018) What Causes PM2.5 Pollution? Cross-Economy Empirical Analysis from Socioeconomic Perspective. Energy Policy, 119, 458-472.
[28]  Cheng, Z., Li, L. and Liu, J. (2017) Identifying the Spatial Effects and Driving Factors of Urban PM2.5 Pollution in China. Ecological Indicators, 82, 61-75.
[29]  You, W. and Lv, Z. (2018) Spillover Effects of Economic Globalization on CO2 Emissions: A Spatial Panel Approach. Energy Economics, 73, 248-257.
[30]  Elhorst, J.P. (2014) Matlab Software for Spatial Panels. International Regional Science Review, 3, 389-405.
[31]  Ehrlich, P.R. and Holdren, J.P. (1971) Impact of Population Growth. Science, 171, 1212-1217.
[32]  Commoner, B. (1972) The Environmental Cost of Economic Growth. Chemistry in Britain, 8, 52-56.
[33]  Chertow, M.R. (2000) The IPAT Equation and Its Variants. Journal of Industrial Ecology, 4, 13-29.
[34]  Ehrlich, P.R. and Holdren, J.P. (1972) Critique. Bulletin of the Atomic Scientists, 28, 16-27.
[35]  Schulze, P.C. (2002) I= PBAT. Ecological Economics, 40, 149-150.
[36]  Waggoner, P.E. and Ausubel, J.H. (2002) A Framework for Sustainability Science: A Renovated IPAT Identity. Proceedings of the National Academy of Sciences of the United States of America, 99, 7860-7865.
[37]  York, R., Rosa, E.A. and Dietz, T. (2003) STIRPAT, IPAT and ImPACT: Analytic Tools for Unpacking the Driving Forces of Environmental Impacts. Ecological economics, 46, 351-365.
[38]  Dietz, T. and Rosa, E.A. (1994) Rethinking the Environmental Impacts of Population, Affluence and Technology. Human Ecology Review, 1, 277-300.
[39]  York, R., Rosa, E.A. and Dietz, T. (2003) Footprints on the Earth: The Environmental Consequences of Modernity. American Sociological Review, 68, 279-300.
[40]  Fan, Y., Liu, L.-C., Wu, G. and Wei, Y.-M. (2006) Analyzing Impact Factors of CO2 Emissions Using the STIRPAT Model. Environmental Impact Assessment Review, 26, 377-395.
[41]  Lin, S., Zhao, D. and Marinova, D. (2009) Analysis of the Environmental Impact of China Based on STIRPAT Model. Environmental Impact Assessment Review, 29, 341-347.
[42]  Li, R. and Leung, G.C. (2012) Coal Consumption and Economic Growth in China. Energy Policy, 40, 438-443.
[43]  Hao, Y. and Liu, Y.-M. (2016) The Influential Factors of Urban PM2.5 Concentrations in China: A Spatial Econometric Analysis. Journal of Cleaner Production, 112, 1443-1453.
[44]  Huang, R.-J., Zhang, Y., Bozzetti, C., Ho, K.-F., Cao, J.-J., Han, Y., et al. (2014) High Secondary Aerosol Contribution to Particulate Pollution during Haze Events in China. Nature, 514, 218-222.
[45]  Xu, B. and Lin, B. (2016) Regional Differences of Pollution Emissions in China: Contributing Factors and Mitigation Strategies. Journal of Cleaner Production, 112, 1454-1463.
[46]  Moran, P.A. (1950) Notes on Continuous Stochastic Phenomena. Biometrika, 37, 17-23.
[47]  Anselin, L. (1995) Local Indicators of Spatial Association—LISA. Geographical Analysis, 27, 93-115.
[48]  Elhorst, J.P. (2014) Spatial Econometrics: from Cross-Sectional Data to Spatial Panels. Springer, Heidelberg, Vol. 479, 480.
[49]  Kang, Y.-Q., Zhao, T. and Yang, Y.-Y. (2016) Environmental Kuznets Curve for CO2 Emissions in China: A Spatial Panel Data Approach. Ecological Indicators, 63, 231-239.
[50]  Zhao, X., Burnett, J.W. and Fletcher, J.J. (2014) Spatial Analysis of China Province-Level CO2 Emission Intensity. Renewable and Sustainable Energy Reviews, 33, 1-10.
[51]  Middleton, J.T., Kendrick, J. and Schwalm, H. (1950) Injury to Herbaceous Plants by Smog or Air Pollution. Plant Disease Reporter, 34, 245-252.
[52]  LeSage, J. and Pace, R.K. (2009) Introduction to Spatial Econometrics. Chapman and Hall/CRC, New York.
[53]  Wang, Y., Ying, Q., Hu, J. and Zhang, H. (2014) Spatial and Temporal Variations of Six Criteria Air Pollutants in 31 Provincial Capital Cities in China during 2013-2014. Environment International, 73, 413-422.
[54]  Wei, Y.D., Yu, D. and Chen, X. (2011) Scale, Agglomeration, and Regional Inequality in Provincial China. Tijdschrift voor economische en sociale geografie, 102, 406-425.
[55]  Ge, X., Zhou, Z., Zhou, Y., Ye, X. and Liu, S. (2018) A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NOx Emissions in China. International Journal of Environmental Research and Public Health, 15, Article No. 725.
[56]  Cole, M.A. (2003) Development, Trade, and the Environment: How Robust Is the Environmental Kuznets Curve? Environment and Development Economics, 8, 557-580.
[57]  Tang, X., Jin, Y., Wang, X., Wang, J. and McLellan, B.C. (2017) Will China’s Trade Restructuring Reduce CO2 Emissions Embodied in International Exports? Journal of Cleaner Production, 161, 1094-1103.
[58]  Zhang, Y. and Tang, Z. (2015) Driving Factors of Carbon Embodied in China’s Provincial Exports. Energy Economics, 51, 445-454.
[59]  Ma, Y.-R., Ji, Q. and Fan, Y. (2016) Spatial Linkage Analysis of the Impact of Regional Economic Activities on PM2.5 Pollution in China. Journal of Cleaner Production, 139, 1157-1167.
[60]  Dong, K., Hochman, G., Kong, X., Sun, R. and Wang, Z. (2019) Spatial Econometric Analysis of China’s PM10 Pollution and Its Influential Factors: Evidence from the Provincial Level. Ecological Indicators, 96, 317-328.


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