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Fiscal spending and air pollution in Chinese cities: Identifying composition and technique effects

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  • Hua, Yue
  • Xie, Rui
  • Su, Yaqin

Abstract

Fiscal spending has both direct and indirect impact on the environment. Using city-level data in China, this paper investigates if education spending affects air pollution through human capital accumulation, known as the composition effect, and if R&D spending affects air pollution through clean-technology adoption, known as the technique effect. Contrasting theoretical predictions and previous empirical evidence, we find both effects of interest to be trivial in urban China. Composition effect appears to be slightly stronger relative to technique effect, while sub-sample analyses show some regional heterogeneities. The results remain robust when we switch between pollution measurements, examine only the regional central cities, instrument endogenous covariates, and adopt the spatial settings. We further discuss potential channel-blocking mechanisms that lead to weak estimates.

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  • Hua, Yue & Xie, Rui & Su, Yaqin, 2018. "Fiscal spending and air pollution in Chinese cities: Identifying composition and technique effects," China Economic Review, Elsevier, vol. 47(C), pages 156-169.
    • Handle: RePEc:eee:chieco:v:47:y:2018:i:c:p:156-169
    DOI: 10.1016/j.chieco.2017.09.007
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    1. López, Ramón & Galinato, Gregmar I. & Islam, Asif, 2011. "Fiscal spending and the environment: Theory and empirics," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 180-198, September.
    2. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    3. Zhang, Xin & Zhang, Xiaobo & Chen, Xi, 2017. "Valuing Air Quality Using Happiness Data: The Case of China," Ecological Economics, Elsevier, vol. 137(C), pages 29-36.
    4. Suri, Vivek & Chapman, Duane, 1998. "Economic growth, trade and energy: implications for the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 25(2), pages 195-208, May.
    5. Kaufmann, Robert K. & Davidsdottir, Brynhildur & Garnham, Sophie & Pauly, Peter, 1998. "The determinants of atmospheric SO2 concentrations: reconsidering the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 25(2), pages 209-220, May.
    6. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    7. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Halkos, George E. & Paizanos, Epameinondas Α., 2013. "The effect of government expenditure on the environment:An empirical investigation," Ecological Economics, Elsevier, vol. 91(C), pages 48-56.
    10. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    11. Natali Hritonenko & Yuri Yatsenko, 2013. "Mathematical Modeling in Economics, Ecology and the Environment," Springer Optimization and Its Applications, Springer, edition 2, number 978-1-4614-9311-2, September.
    12. Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," Other publications TiSEM d473cc67-03f6-4389-9a9f-3, Tilburg University, School of Economics and Management.
    13. Lopez, Ramon & Galinato, Gregmar I., 2007. "Should governments stop subsidies to private goods? Evidence from rural Latin America," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 1071-1094, June.
    14. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    15. Siqi Zheng & Matthew E. Kahn, 2017. "A New Era of Pollution Progress in Urban China?," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 71-92, Winter.
    16. Shafik, Nemat & Bandyopadhyay, Sushenjit, 1992. "Economic growth and environmental quality : time series and cross-country evidence," Policy Research Working Paper Series 904, The World Bank.
    17. Lopez, Ramon E. & Islam, Asif M., 2008. "When Government Spending Serves the Elites: Consequences for Economic Growth in a Context of Market Imperfections," Working Papers 45875, University of Maryland, Department of Agricultural and Resource Economics.
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    7. Wanfang Xiong & Yan Han & M. James C. Crabbe & Xiao-Guang Yue, 2020. "Fiscal Expenditures on Science and Technology and Environmental Pollution: Evidence from China," IJERPH, MDPI, vol. 17(23), pages 1-20, November.
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    9. Huijie Yan & Mateo Cordier & Takuro Uehara, 2024. "Future Projections of Global Plastic Pollution: Scenario Analyses and Policy Implications," Post-Print hal-04396682, HAL.
    10. Shuai Liu & Fei Fan & Jianqing Zhang, 2019. "Are Small Cities More Environmentally Friendly? An Empirical Study from China," IJERPH, MDPI, vol. 16(5), pages 1-16, February.
    11. Nor Salwati Othman & Hussain Ali Bekhet, 2021. "Dynamic Effects of Malaysia's Government Spending on Environment Quality: Bridging STIRPAT and EKC Hypothesis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 343-355.
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    18. Ge, Tao & Li, Chunying & Li, Jinye & Hao, Xionglei, 2023. "Does neighboring green development benefit or suffer from local economic growth targets? Evidence from China," Economic Modelling, Elsevier, vol. 120(C).

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    More about this item

    Keywords

    Education spending; R&D spending; Air pollution; STIRPAT model;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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