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Effect of Internal Migration on Air and Water Pollution in China

Listed author(s):
  • Shuddhasattwa Rafiq
  • Ingrid Nielsen
  • Russell Smyth

We examine the effect of inter-provincial migration on air and water pollution for a panel of Chinese provinces over the period 2000-2013. To do so, we employ linear and non-linear panel data models in a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) framework. Our findings from both the linear and non-linear models suggest that inter-provincial migration has contributed to air and water pollution. Results from the second-generation linear panel data models suggest that for every additional 10,000 inter-provincial migrants, chemical oxygen demand (COD) increases 0.33-0.58 per cent and sulphur dioxide (SO2) increases 0.15-0.33 per cent. Our results from the non-linear threshold panel model are that for every additional 10,000 inter-provincial migrants, COD increases 0.2-0.5 per cent and SO2 increases 0.10-0.20 per cent. These estimates mean that over the period 2000-2013 average interprovincial migration was responsible for 7-12.4 per cent of wastewater discharge and 3.2-7 per cent of SO2 emissions in China based on the second-generation linear panel data models and 4.3-10.7 per cent of wastewater discharge and 2.1-4.3 per cent of SO2 emissions based on the non-linear threshold panel model.

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File URL: http://business.monash.edu/__data/assets/pdf_file/0006/528297/2716effectrafiqnielsensmyth.pdf
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Paper provided by Monash University, Department of Economics in its series Monash Economics Working Papers with number 27-16.

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Length: 36 pages
Date of creation: Nov 2016
Handle: RePEc:mos:moswps:2016-27
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Department of Economics, Monash University, Victoria 3800, Australia

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Web page: http://business.monash.edu/economics
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  1. Chen, Yuyu & Jin, Ginger Zhe & Kumar, Naresh & Shi, Guang, 2013. "The promise of Beijing: Evaluating the impact of the 2008 Olympic Games on air quality," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 424-443.
  2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
  3. Rafiq, Shuddhasattwa & Salim, Ruhul & Nielsen, Ingrid, 2016. "Urbanization, openness, emissions, and energy intensity: A study of increasingly urbanized emerging economies," Energy Economics, Elsevier, vol. 56(C), pages 20-28.
  4. Carmel Price & Ben Feldmeyer, 2012. "The Environmental Impact of Immigration: An Analysis of the Effects of Immigrant Concentration on Air Pollution Levels," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(1), pages 119-140, February.
  5. Rafiq, Shudhasattwa & Sgro, Pasquale & Apergis, Nicholas, 2016. "Asymmetric oil shocks and external balances of major oil exporting and importing countries," Energy Economics, Elsevier, vol. 56(C), pages 42-50.
  6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
  7. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  8. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
  9. Matthew A. Cole & Robert J.R. Elliott & Jing Zhang, 2011. "Growth, Foreign Direct Investment, And The Environment: Evidence From Chinese Cities," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 121-138, 02.
  10. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
  11. Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
  12. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
  13. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
  14. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
  15. Hering, Laura & Poncet, Sandra, 2014. "Environmental policy and exports: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 296-318.
  16. Pesaran, M Hashem, 1997. "The Role of Economic Theory in Modelling the Long Run," Economic Journal, Royal Economic Society, vol. 107(440), pages 178-191, January.
  17. QIN, Bo & WU, Jianfeng, 2015. "Does urban concentration mitigate CO2 emissions? Evidence from China 1998–2008," China Economic Review, Elsevier, vol. 35(C), pages 220-231.
  18. Seidl, Irmi & Tisdell, Clem A., 1999. "Carrying capacity reconsidered: from Malthus' population theory to cultural carrying capacity," Ecological Economics, Elsevier, vol. 31(3), pages 395-408, December.
  19. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
  20. Du, Limin & Wei, Chu & Cai, Shenghua, 2012. "Economic development and carbon dioxide emissions in China: Provincial panel data analysis," China Economic Review, Elsevier, vol. 23(2), pages 371-384.
  21. Frees, Edward W., 1995. "Assessing cross-sectional correlation in panel data," Journal of Econometrics, Elsevier, vol. 69(2), pages 393-414, October.
  22. Strauss, Jack & Yigit, Taner, 2003. "Shortfalls of panel unit root testing," Economics Letters, Elsevier, vol. 81(3), pages 309-313, December.
  23. Maddala, G S & Wu, Shaowen, 1999. " A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
  24. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
  25. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
  26. Binder, Martin & Coad, Alex, 2011. "From Average Joe's happiness to Miserable Jane and Cheerful John: using quantile regressions to analyze the full subjective well-being distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 275-290, August.
  27. Li, Jianglong & Lin, Boqiang, 2016. "Inter-factor/inter-fuel substitution, carbon intensity, and energy-related CO2 reduction: Empirical evidence from China," Energy Economics, Elsevier, vol. 56(C), pages 483-494.
  28. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2005. "Testing for PPP: Should we use panel methods?," Empirical Economics, Springer, vol. 30(1), pages 77-91, January.
  29. Sadorsky, Perry, 2014. "The effect of urbanization on CO2 emissions in emerging economies," Energy Economics, Elsevier, vol. 41(C), pages 147-153.
  30. He, Guojun & Fan, Maoyong & Zhou, Maigeng, 2016. "The effect of air pollution on mortality in China: Evidence from the 2008 Beijing Olympic Games," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 18-39.
  31. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, 07.
  32. Squalli, Jay, 2010. "An empirical assessment of U.S. state-level immigration and environmental emissions," Ecological Economics, Elsevier, vol. 69(5), pages 1170-1175, March.
  33. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
  34. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, 07.
  35. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
  36. Yaohui Zhao, 1999. "Leaving the Countryside: Rural-to-Urban Migration Decisions in China," American Economic Review, American Economic Association, vol. 89(2), pages 281-286, May.
  37. Enders, Walter & Granger, Clive W J, 1998. "Unit-Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 304-311, July.
  38. Jing-Li Fan & Hua Liao & Bao-Jun Tang & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2016. "The impacts of migrant workers consumption on energy use and CO 2 emissions in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 725-743, March.
  39. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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