IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v191y2023ics0040162523001385.html
   My bibliography  Save this article

Biased technical change, capital deepening, and efficiency of environmental regulations: Evidence from the Chinese provinces

Author

Listed:
  • Zhao, Pan
  • Hu, Guoheng
  • Jin, Peizhen

Abstract

This study uses the Malmquist-Luenberger index to test how the capital-biased technical change affects the efficiency of environmental regulation in China using the provincial-level panel data from 2004 to 2018. It is found that there is a significant capital-biased technical change. The total factor productivity growth promotes the provincial-level efficiency of environmental regulation. However, capital deepening hinders the enhancement of the efficiency of environmental regulation. Finally, the Spatial Durbin model estimations indicate that the capital-biased technical change positively affects the provincial efficiency of environmental regulation, and its components exhibit remarkable spatial spillover effects.

Suggested Citation

  • Zhao, Pan & Hu, Guoheng & Jin, Peizhen, 2023. "Biased technical change, capital deepening, and efficiency of environmental regulations: Evidence from the Chinese provinces," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523001385
    DOI: 10.1016/j.techfore.2023.122453
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523001385
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122453?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhu, Junpeng & Lin, Boqiang, 2022. "Economic growth pressure and energy efficiency improvement: Empirical evidence from Chinese cities," Applied Energy, Elsevier, vol. 307(C).
    2. 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.
    3. Cristiano Cantore & Miguel León-Ledesma & Peter McAdam & Alpo Willman, 2014. "Shocking Stuff: Technology, Hours, And Factor Substitution," Journal of the European Economic Association, European Economic Association, vol. 12(1), pages 108-128, February.
    4. 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.
    5. Akaev, Askar & Devezas, Tessaleno & Ichkitidze, Yuri & Sarygulov, Askar, 2021. "Forecasting the labor intensity and labor income share for G7 countries in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    6. Fare, Rolf & Grosskopf, Shawna, 1997. "Profit efficiency, Farrell decompositions and the Mahler inequality1," Economics Letters, Elsevier, vol. 57(3), pages 283-287, December.
    7. Zhang, Shangfeng & Zhu, Chun & Li, Xiujie & Yu, Xiuwen & Fang, Qi, 2022. "Sectoral heterogeneity, industrial structure transformation, and changes in total labor income share," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    8. Marra, Alessandro & Antonelli, Paola & Pozzi, Cesare, 2017. "Emerging green-tech specializations and clusters – A network analysis on technological innovation at the metropolitan level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1037-1046.
    9. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    10. Panayotou, Theodore, 1997. "Demystifying the environmental Kuznets curve: turning a black box into a policy tool," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 465-484, November.
    11. Wei, Taoyuan & Liu, Yang, 2019. "Estimation of resource-specific technological change," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 29-33.
    12. Zhang, Shangfeng & Chen, Congcong & Huang, Duen-Huang & Hu, Lang, 2022. "Measurement of factor price distortion: A new production function method with time-varying elasticity," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    13. Pestana Barros, Carlos & Managi, Shunsuke & Yoshida, Yuichiro, 2010. "Productivity growth and biased technological change in Japanese airports," Transport Policy, Elsevier, vol. 17(4), pages 259-265, August.
    14. Ren, Xiaohang & Zhang, Xiao & Yan, Cheng & Gozgor, Giray, 2022. "Climate policy uncertainty and firm-level total factor productivity: Evidence from China," Energy Economics, Elsevier, vol. 113(C).
    15. Conrad, Klaus & Wastl, Dieter, 1995. "The Impact of Environmental Regulation on Productivity in German Industries," Empirical Economics, Springer, vol. 20(4), pages 615-633.
    16. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, vol. 100(4), pages 1330-1357, September.
    17. Ryuzo Sato & Tamaki Morita, 2009. "Quantity Or Quality: The Impact Of Labour Saving Innovation On Us And Japanese Growth Rates, 1960–2004," The Japanese Economic Review, Japanese Economic Association, vol. 60(4), pages 407-434, December.
    18. Stiglitz, Joseph E., 1983. "Some aspects of the taxation of capital gains," Journal of Public Economics, Elsevier, vol. 21(2), pages 257-294, July.
    19. Klump, Rainer & Saam, Marianne, 2008. "Calibration of normalised CES production functions in dynamic models," Economics Letters, Elsevier, vol. 99(2), pages 256-259, May.
    20. Song, Malin & Wang, Shuhong, 2016. "Can employment structure promote environment-biased technical progress?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 285-292.
    21. Karanfil, Fatih & Yeddir-Tamsamani, Yasser, 2010. "Is technological change biased toward energy? A multi-sectoral analysis for the French economy," Energy Policy, Elsevier, vol. 38(4), pages 1842-1850, April.
    22. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    23. Barbera, Anthony J. & McConnell, Virginia D., 1990. "The impact of environmental regulations on industry productivity: Direct and indirect effects," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 50-65, January.
    24. Song, Malin & Wang, Shuhong & Sun, Jing, 2018. "Environmental regulations, staff quality, green technology, R&D efficiency, and profit in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 1-14.
    25. Zhang, Shangfeng & Chen, Congcong & Xu, Siwa & Xu, Bing, 2021. "Measurement of capital allocation efficiency in emerging economies: evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Zhi & Zhao, Qing & Guo, Hong & Huang, Ruting, 2024. "Impact of fossil fuel subsidies on energy-saving technological change in China," Energy, Elsevier, vol. 286(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zha, Donglan & Kavuri, Anil Savio & Si, Songjian, 2018. "Energy-biased technical change in the Chinese industrial sector with CES production functions," Energy, Elsevier, vol. 148(C), pages 896-903.
    2. Michael Knoblach & Fabian Stöckl, 2020. "What Determines The Elasticity Of Substitution Between Capital And Labor? A Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 847-875, September.
    3. Miguel A. Leon-Ledesma & Mathan Satchi, 2015. "Appropriate Technology and the Labour Share," Studies in Economics 1505, School of Economics, University of Kent, revised Nov 2016.
    4. Rainer Klump & Peter McAdam & Alpo Willman, 2012. "The Normalized Ces Production Function: Theory And Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 769-799, December.
    5. Miguel A León-Ledesma & Mathan Satchi, 2019. "Appropriate Technology and Balanced Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 807-835.
    6. PETER McADAM & ALPO WILLMAN, 2013. "Technology, Utilization, and Inflation: What Drives the New Keynesian Phillips Curve?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1547-1579, December.
    7. Miguel A. Leon-Ledesma & Mathan Satchi, 2011. "The Choice of CES Production Techniques and Balanced Growth," Studies in Economics 1113, School of Economics, University of Kent.
    8. Muhammad Shahbaz & Syed Jawad Hussain Shahzad & Mantu Kumar Mahalik & Perry Sadorsky, 2018. "How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1479-1494, March.
    9. Thomas Longden, 2014. "Going Forward by Looking Backwards on the Environmental Kuznets Curve: an Analysis of CFCs, CO2 and the Montreal and Kyoto Protocols," Working Papers 2014.74, Fondazione Eni Enrico Mattei.
    10. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    11. Wang, Sophie Xuefei & Fu, Yu Benjamin & Zhang, Zhe George, 2015. "Population growth and the environmental Kuznets curve," China Economic Review, Elsevier, vol. 36(C), pages 146-165.
    12. Jie HE, 2005. "Economic Determinants for China’s Industrial SO2 Emission: Reduced vs. Structural form and the role of international trade," Working Papers 200505, CERDI.
    13. Stern, David I. & Common, Michael S., 2001. "Is There an Environmental Kuznets Curve for Sulfur?," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 162-178, March.
    14. Martin Neve & Bertrand Hamaide, 2017. "Environmental Kuznets Curve with Adjusted Net Savings as a Trade-Off Between Environment and Development," Australian Economic Papers, Wiley Blackwell, vol. 56(1), pages 39-58, March.
    15. Matias Piaggio & Emilio Padilla & Carolina Roman, 2015. "The long-run relationshiop between C02 emissions and economic activity in a small open economy: Uruguay 1882-2010," Working Papers wpdea1506, Department of Applied Economics at Universitat Autonoma of Barcelona.
    16. Sabuj Kumar Mandal & Devleena Chakravarty, 2017. "Role of energy in estimating turning point of Environmental Kuznets Curve: an econometric analysis of the existing studies," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(2), pages 387-401, October.
    17. Aller, Carlos & Ductor, Lorenzo & Herrerias, M.J., 2015. "The world trade network and the environment," Energy Economics, Elsevier, vol. 52(PA), pages 55-68.
    18. Anelí Bongers, 2020. "The Environmental Kuznets Curve and the Energy Mix: A Structural Estimation," Energies, MDPI, vol. 13(10), pages 1-21, May.
    19. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    20. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523001385. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.