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Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence

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  • Han, Yonghui
  • Zhang, Fan
  • Huang, Liangxiong
  • Peng, Keming
  • Wang, Xianbin

Abstract

Industrial upgrading plays a significant role in promoting eco-efficiency, but existing studies ignore this aspect. Using improved and comprehensive measures of eco-efficiency, we assess how industrial upgrading influences the eco-efficiency of a certain province with provincial panel data during the period 1998–2017. We find that industrial upgrading significantly promotes eco-efficiency and yields significantly positive spatial spillover effects. Our findings provide empirical evidence that the government should push forward industrial upgrading decisively, as well as strengthening inter-regional and central-provincial collaboration in promoting eco-efficiency.

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  • Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:enepol:v:154:y:2021:i:c:s0301421521001555
    DOI: 10.1016/j.enpol.2021.112286
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    1. Brock, William A. & Taylor, M. Scott, 2005. "Economic Growth and the Environment: A Review of Theory and Empirics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 28, pages 1749-1821, Elsevier.
    2. Yasushi Kondo & Shinichiro Nakamura, 2005. "Waste input-output linear programming model with its application to eco-efficiency analysis," Economic Systems Research, Taylor & Francis Journals, vol. 17(4), pages 393-408.
    3. Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2018. "Do countries influence neighbouring pollution? A spatial analysis of the EKC for CO2 emissions," Energy Policy, Elsevier, vol. 123(C), pages 266-279.
    4. Matthew Cole, 2000. "Air Pollution and ‘Dirty’ Industries: How and Why Does the Composition of Manufacturing Output Change with Economic Development?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 17(1), pages 109-123, September.
    5. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    6. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    7. Goel, Rajeev K. & Saunoris, James W., 2020. "Spatial spillovers of pollution onto the underground sector," Energy Policy, Elsevier, vol. 144(C).
    8. Berkmen, S. Pelin & Gelos, Gaston & Rennhack, Robert & Walsh, James P., 2012. "The global financial crisis: Explaining cross-country differences in the output impact," Journal of International Money and Finance, Elsevier, vol. 31(1), pages 42-59.
    9. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    10. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    11. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2008. "Asymptotics And Consistent Bootstraps For Dea Estimators In Nonparametric Frontier Models," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1663-1697, December.
    12. Hausman, Angela & Johnston, Wesley J., 2014. "The role of innovation in driving the economy: Lessons from the global financial crisis," Journal of Business Research, Elsevier, vol. 67(1), pages 2720-2726.
    13. Yan Liang, 2010. "China and the Global Financial Crisis: Assessing the Impacts and Policy Responses," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 18(3), pages 56-72, May.
    14. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    15. Luc Anselin & Julie Le Gallo, 2006. "Interpolation of air quality measures in hedonic house price models : spatial aspects," Post-Print hal-00485017, HAL.
    16. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    17. Stephen R. Buzdugan & Heinz Tüselmann, . "Making the most of FDI for development: “new” industrial policy and FDI deepening for industrial upgrading," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    18. Zhang, Pingdan & Yuan, Haoming & Bai, Fuli & Tian, Xin & Shi, Feng, 2018. "How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 145-154.
    19. He, Jie & Wang, Hua, 2012. "Economic structure, development policy and environmental quality: An empirical analysis of environmental Kuznets curves with Chinese municipal data," Ecological Economics, Elsevier, vol. 76(C), pages 49-59.
    20. Brian R. Copeland & M. Scott Taylor, 2004. "Trade, Growth, and the Environment," Journal of Economic Literature, American Economic Association, vol. 42(1), pages 7-71, March.
    21. Kelejian, Harry H. & Prucha, Ingmar R., 2002. "2SLS and OLS in a spatial autoregressive model with equal spatial weights," Regional Science and Urban Economics, Elsevier, vol. 32(6), pages 691-707, November.
    22. Carlo Ciccarelli & Stefano Fachin, 2017. "Regional growth with spatial dependence: A case study on early Italian industrialization," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 675-695, November.
    23. Paul Elhorst & Solmaria Halleck Vega, 2013. "On spatial econometric models, spillover effects, and W," ERSA conference papers ersa13p222, European Regional Science Association.
    24. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    25. Rashidi, Kamran & Farzipoor Saen, Reza, 2015. "Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement," Energy Economics, Elsevier, vol. 50(C), pages 18-26.
    26. Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
    27. Federico Revelli, 2005. "On Spatial Public Finance Empirics," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(4), pages 475-492, August.
    28. Brun, J. F. & Combes, J. L. & Renard, M. F., 2002. "Are there spillover effects between coastal and noncoastal regions in China?," China Economic Review, Elsevier, vol. 13(2-3), pages 161-169.
    29. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    30. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    31. Narendar Rao & K. Reddy, 2015. "The impact of the global financial crisis on cross-border mergers and acquisitions: a continental and industry analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 309-341, December.
    32. Muhammad Kamran Khan & Muhammad Imran Khan & Muhammad Rehan, 2020. "The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-13, December.
    33. Wang, Chao & Zhang, Xinyi & Vilela, André L.M. & Liu, Chao & Stanley, H. Eugene, 2019. "Industrial structure upgrading and the impact of the capital market from 1998 to 2015: A spatial econometric analysis in Chinese regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 189-201.
    34. Coulibaly, Brahima & Sapriza, Horacio & Zlate, Andrei, 2013. "Financial frictions, trade credit, and the 2008–09 global financial crisis," International Review of Economics & Finance, Elsevier, vol. 26(C), pages 25-38.
    35. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    36. Levinson, Arik, 1996. "Environmental regulations and manufacturers' location choices: Evidence from the Census of Manufactures," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 5-29, October.
    37. Magdalena Rybaczewska-Błażejowska & Wacław Gierulski, 2018. "Eco-Efficiency Evaluation of Agricultural Production in the EU-28," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    38. K.S.Reddy, 2019. "Pot the ball? Sovereign wealth funds’ outward FDI in times of global financial market turbulence: A yield institutions-based view," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 19(4), pages 129-139.
    39. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    40. Zhao, Xin & Shang, Yuping & Song, Malin, 2020. "Industrial structure distortion and urban ecological efficiency from the perspective of green entrepreneurial ecosystems," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    41. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    42. Anselin, Luc & Hudak, Sheri, 1992. "Spatial econometrics in practice : A review of software options," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 509-536, September.
    43. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    44. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    45. Wu, Weixiao & Hong, Chang & Muhammad, Andrew, 2020. "The Spillover effect of export processing zones," China Economic Review, Elsevier, vol. 63(C).
    46. Harry H. Kelejian & Ingmar R. Prucha & Yevgeny Yuzefovich, 2006. "Estimation Problems In Models With Spatial Weighting Matrices Which Have Blocks Of Equal Elements," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 507-515, August.
    47. Cole, Matthew A. & Elliott, Robert J.R. & Wu, Shanshan, 2008. "Industrial activity and the environment in China: An industry-level analysis," China Economic Review, Elsevier, vol. 19(3), pages 393-408, September.
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