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Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure

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  • Huan Zhang

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

  • Kangning Xu

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

Abstract

This research aims to study the main influencing factors of China’s industrial carbon productivity by incorporating environmental regulation and technical progress into an econometric model. The paper focuses on data from 35 of China’s industrial sectors and covers the period from 2006 to 2014, in order to examine the impact of environmental regulation and technical progress on carbon productivity. Methods applied include panel fixed effect model, panel random effect model and two stage least squares with instrumental variables (IV-2SLS). The effect of environmental regulation and technical progress has industrial heterogeneity. The paper subdivides industrial sectors into capital and technology intensive, resource intensive and labor intensive sectors according to factor intensiveness. The estimation results of the subgroups have uncovered that for capital and technology intensive and resource intensive sectors, environmental regulation has a more significant impact than technical progress; while for labor intensive sectors, innovation more significantly influences carbon productivity. In addition, foreign direct investment (FDI) and industrialization level facilitate improving carbon productivity for the full sample. By contrast, industrial structure inhibits the overall industrial carbon productivity. The industry-specific results indicate that for capital and technology intensive sectors, optimizing of the industrial structure can improve carbon productivity; for resource intensive sectors, FDI and energy consumption structure should be emphasized more; for labor intensive sectors, industrialization levels help enhance carbon productivity. Finally the industrial sector-specific policy suggestions are proposed.

Suggested Citation

  • Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:819-:d:76334
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    as
    1. Lisann Krautzberger & Heike Wetzel, 2012. "Transport and CO 2 : Productivity Growth and Carbon Dioxide Emissions in the European Commercial Transport Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 435-454, November.
    2. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.
    3. Chang, Yih F & Lin, Sue J, 1998. "Structural decomposition of industrial CO2 emission in Taiwan: an input-output approach," Energy Policy, Elsevier, vol. 26(1), pages 5-12, January.
    4. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    5. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    6. Muhammad Shahbaz & Smile Dube & Ilhan Ozturk & Abdul Jalil, 2015. "Testing the Environmental Kuznets Curve Hypothesis in Portugal," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 475-481.
    7. Davidsdottir, B. & Fisher, M., 2011. "The odd couple: The relationship between state economic performance and carbon emissions economic intensity," Energy Policy, Elsevier, vol. 39(8), pages 4551-4562, August.
    8. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    9. 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.
    10. repec:fth:harver:1473 is not listed on IDEAS
    11. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    12. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    13. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    14. Meng, Ming & Niu, Dongxiao, 2012. "Three-dimensional decomposition models for carbon productivity," Energy, Elsevier, vol. 46(1), pages 179-187.
    15. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    16. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    17. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    18. He, Jiankun & Deng, Jing & Su, Mingshan, 2010. "CO2 emission from China's energy sector and strategy for its control," Energy, Elsevier, vol. 35(11), pages 4494-4498.
    19. Cole, Matthew A. & Elliott, Robert J. R., 2003. "Determining the trade-environment composition effect: the role of capital, labor and environmental regulations," Journal of Environmental Economics and Management, Elsevier, vol. 46(3), pages 363-383, November.
    20. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    Full references (including those not matched with items on IDEAS)

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