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Research on human capital and energy development caused by decarbonization

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  • Zhang, Yang
  • Li, Siyu
  • Wang, Xiao
  • Wu, Weiping

Abstract

This study inputs human capital, an important parameter, into the model of carbon emission intensity (CI) that integrates the logarithmic mean divisia index (LMDI) and the production-theoretical decomposition analysis (PDA) while focusing on China's decarbonization, to understand the role of human capital on CO2 emissions under the constraint of energy consumption. The human capital is decomposed into education and “learning by doing” for the analysis of the heterogeneous effects of the two on CO2 emissions. The analysis of China and 30 of its provinces from 2000 to 2019 shows that the human capital substitution effect promoted CO2 emissions reduction owing to an increase in the human capital–energy ratio. Regional decomposition reveals the significance of this finding in the eastern, central, and western regions, which shows that the rapid growth of human capital in these three regions has a substitution effect on energy consumption, thereby reducing CO2 emissions. Further results show that education and “learning by doing” had different effects on CO2 emissions, with education mainly causing CO2 emission reductions and “learning by doing” mainly causing CO2 emission increases in the eastern and western regions; both education and “learning by doing” reduced CO2 emission in the central region. This finding indicates that higher levels of education result in the effective accumulation of human capital, thereby facilitating CO2 emissions reduction through energy substitution.

Suggested Citation

  • Zhang, Yang & Li, Siyu & Wang, Xiao & Wu, Weiping, 2023. "Research on human capital and energy development caused by decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:rensus:v:187:y:2023:i:c:s1364032123005774
    DOI: 10.1016/j.rser.2023.113720
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    1. Salim, Ruhul & Yao, Yao & Chen, George S., 2017. "Does human capital matter for energy consumption in China?," Energy Economics, Elsevier, vol. 67(C), pages 49-59.
    2. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    3. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    4. Yujiro Hayami, 1969. "Sources of Agricultural Productivity Gap Among Selected Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 564-575.
    5. Dale W. Jorgenson & Barbara M. Fraumeni, 1992. "The Output of the Education Sector," NBER Chapters, in: Output Measurement in the Service Sectors, pages 303-341, National Bureau of Economic Research, Inc.
    6. Li, Rongrong & Han, Xinyu & Wang, Qiang, 2023. "Do technical differences lead to a widening gap in China's regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    8. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    9. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    10. Awaworyi Churchill, Sefa & Inekwe, John & Smyth, Russell & Zhang, Xibin, 2019. "R&D intensity and carbon emissions in the G7: 1870–2014," Energy Economics, Elsevier, vol. 80(C), pages 30-37.
    11. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    12. Muhammad Khan, 2020. "CO2 emissions and sustainable economic development: New evidence on the role of human capital," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1279-1288, September.
    13. Fabian Herweg & Klaus M Schmidt, 2022. "How to Regulate Carbon Emissions with Climate-Conscious Consumers," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2992-3019.
    14. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    15. Wang, Chunhua, 2007. "Decomposing energy productivity change: A distance function approach," Energy, Elsevier, vol. 32(8), pages 1326-1333.
    16. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
    17. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    18. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    19. Sinton, Jonathan E. & Levine, Mark D., 1994. "Changing energy intensity in Chinese industry : The relatively importance of structural shift and intensity change," Energy Policy, Elsevier, vol. 22(3), pages 239-255, March.
    20. Shahbaz, Muhammad & Gozgor, Giray & Hammoudeh, Shawkat, 2019. "Human capital and export diversification as new determinants of energy demand in the United States," Energy Economics, Elsevier, vol. 78(C), pages 335-349.
    21. Huang, Jin-ping, 1993. "Industry energy use and structural change : A case study of The People's Republic of China," Energy Economics, Elsevier, vol. 15(2), pages 131-136, April.
    22. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    Keywords

    Human capital; CO2 emissions; Energy consumption; LMDI-PDA;
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