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Dynamic Threshold Effect of Directed Technical Change Suppress on Urban Carbon Footprint in China

Author

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  • Xiaojun Lyu

    (Fanli Business School, Nanyang Institute of Technology, Nanyang 473000, China)

  • Haiqian Ke

    (Fanli Business School, Nanyang Institute of Technology, Nanyang 473000, China
    Institute of Central China Development, Wuhan University, Wuhan 430072, China)

Abstract

Promoting technical change is an important driving force for promoting the sustainable development of urban economy and ecology; however, the technical change is not always neutral and technical change may has a certain direction. This paper uses the DEA-Malmquist index to measure the directed technical change of 280 cities in China from 2009 to 2019, and uses the DMSP/OLS night light data to characterize the urban economic development level. It uses the dynamic threshold regression model to analyze the impact of directed technical change on urban carbon footprint under different economic development levels. The results show that: (1) during the study period, the carbon footprint of Chinese cities has a positive spatial correlation, and the direction of technical change is towards capital-saving overall. (2) The impact of capital-saving technical change on urban carbon footprint presents a negative double-threshold characteristic in China, and the inhibition of capital-saving technical change on the urban carbon footprint becomes stronger with the increasing economic development level. (3) The inhibitory effect of capital-saving technical change on carbon footprint has regional heterogeneity, and the inhibitory effect of capital-saving technical change on carbon footprint is stronger in eastern China than other regions. (4) Industrial structure, energy structure and innovation efficiency are mediating variables of the inhibitory effect of capital-saving technical change on carbon footprint except for population density.

Suggested Citation

  • Xiaojun Lyu & Haiqian Ke, 2022. "Dynamic Threshold Effect of Directed Technical Change Suppress on Urban Carbon Footprint in China," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5151-:d:800699
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    as
    1. Chen, Lei & Li, Ke & Chen, Shuying & Wang, Xiaofei & Tang, Liwei, 2021. "Industrial activity, energy structure, and environmental pollution in China," Energy Economics, Elsevier, vol. 104(C).
    2. André Grimaud & Luc Rouge, 2008. "Environment, Directed Technical Change and Economic Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(4), pages 439-463, December.
    3. Weber, William L. & Domazlicky, Bruce R., 1999. "Total factor productivity growth in manufacturing: a regional approach using linear programming," Regional Science and Urban Economics, Elsevier, vol. 29(1), pages 105-122, January.
    4. 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.
    5. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    6. Rolf Färe & Emili Grifell‐Tatjé & Shawna Grosskopf & C. A. Knox Lovell, 1997. "Biased Technical Change and the Malmquist Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(1), pages 119-127, March.
    7. A. Townsend Peterson & Miguel A. Ortega-Huerta & Jeremy Bartley & Victor Sánchez-Cordero & Jorge Soberón & Robert H. Buddemeier & David R. B. Stockwell, 2002. "Future projections for Mexican faunas under global climate change scenarios," Nature, Nature, vol. 416(6881), pages 626-629, April.
    8. Stephanie Kremer & Alexander Bick & Dieter Nautz, 2013. "Inflation and growth: new evidence from a dynamic panel threshold analysis," Empirical Economics, Springer, vol. 44(2), pages 861-878, April.
    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. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    11. Olivier Blanchard & Lawrence F. Katz, 1997. "What We Know and Do Not Know about the Natural Rate of Unemployment," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 51-72, Winter.
    12. Bampatsou, Christina & Halkos, George & Beneki, Christina, 2021. "Energy and material flow management to improve EU productivity," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 83-93.
    13. Frederick Van der Ploeg & Armon Rezai, 2016. "Stranded Assets, the Social Cost of Carbon, and Directed Technical Change: Macroeconomic Dynamics of Optimal Climate Policy," CESifo Working Paper Series 5787, CESifo.
    14. Zhang, Tao & Ma, Ying & Li, Angfei, 2021. "Scenario analysis and assessment of China’s nuclear power policy based on the Paris Agreement: A dynamic CGE model," Energy, Elsevier, vol. 228(C).
    15. Liquan Xu & Yong Geng & Dong Wu & Chenyi Zhang & Shijiang Xiao, 2021. "Carbon Footprint of Residents’ Housing Consumption and Its Driving Forces in China," Energies, MDPI, vol. 14(13), pages 1-16, June.
    16. Daniel Danxia Xie, 2011. "A Generalized Fact and Model of Long-Run Economic Growth: Kaldor Fact as a Special Case," Working Paper Series WP11-4, Peterson Institute for International Economics.
    17. Corrado Maria & Edwin Werf, 2008. "Carbon leakage revisited: unilateral climate policy with directed technical change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 39(2), pages 55-74, February.
    18. repec:bla:scandj:v:99:y:1997:i:1:p:119-27 is not listed on IDEAS
    19. Daron Acemoglu, 2007. "Equilibrium Bias of Technology," Econometrica, Econometric Society, vol. 75(5), pages 1371-1409, September.
    20. Tobias Kronenberg, 2010. "Energy conservation, unemployment and the direction of technical change," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 9(1), pages 1-17, April.
    21. Poterba, James M, 1998. "Demographic Change, Intergenerational Linkages, and Public Education," American Economic Review, American Economic Association, vol. 88(2), pages 315-320, May.
    22. Huang, Yuan & Yu, Qiang & Wang, Ruirui, 2021. "Driving factors and decoupling effect of carbon footprint pressure in China: Based on net primary production," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    23. Rick Van der Ploeg & Armon Rezai, 2016. "Stranded assets, the social cost of carbon, and directed technical change:," OxCarre Working Papers 176, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
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