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Title: Holistic governance strategy to reduce carbon intensity

Author

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  • Zhang, Cheng
  • Zhao, Ziwei
  • Wang, Qunwei
  • Xu, Bing

Abstract

The “dual carbon” goals of carbon peaking and carbon neutrality constitute an important strategic decision for China in the new era. For the purpose of elaborating the internal correlation between the BTH coordinated development strategy and carbon dioxide intensity (carbon intensity), this study uses the synthetic control method (SCM) to test the effect of BTH coordinated development strategy on reducing carbon intensity. The SCM is combined with the improved logarithmic mean Divisia index method to analyze the mechanisms promoting changes in carbon intensity. The study found that the BTH coordinated development strategy has had a positive impact on carbon intensity reduction, demonstrating that the policy effect has intensified, with carbon intensity dropping by 15%–20%. It is further determined that the strategy primarily uses two main paths of industrial energy intensity and energy structure to reduce carbon intensity, and its contribution to the overall policy effect exceeds 64%. Notably, the reduction of carbon intensity in Tianjin primarily depended on energy intensity, and the energy structure generated a negative hindrance during the study period. The research results, particularly the demonstrated differentiation in regional characteristics, provide decision support for the BTH holistic governance strategy for carbon peaking and carbon neutrality in China.

Suggested Citation

  • Zhang, Cheng & Zhao, Ziwei & Wang, Qunwei & Xu, Bing, 2022. "Title: Holistic governance strategy to reduce carbon intensity," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001329
    DOI: 10.1016/j.techfore.2022.121600
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    as
    1. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    3. Jiang, Qichuan & Ma, Xuejiao, 2021. "Spillovers of environmental regulation on carbon emissions network," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    5. Yang, Fei & Shi, Beibei & Xu, Ming & Feng, Chen, 2019. "Can reducing carbon emissions improve economic performance: Evidence from China," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-39.
    6. Matej Opatrny, 2021. "The impact of the Brexit vote on UK financial markets: a synthetic control method approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 559-587, May.
    7. Tan, Zhongfu & Li, Li & Wang, Jianjun & Wang, Jianhui, 2011. "Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method," Applied Energy, Elsevier, vol. 88(12), pages 4496-4504.
    8. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    9. Xie, Li & Li, Zexin & Ye, Xiuhua & Jiang, Yanru, 2021. "Environmental regulation and energy investment structure: Empirical evidence from China's power industry," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    10. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    11. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    12. Kahuina Miller & Tetsuro Hyodo, 2021. "Impact of the Panama Canal expansion on Latin American and Caribbean ports: difference in difference (DID) method," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-23, December.
    13. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    14. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    15. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    16. Rafiatul Adlin Hj Mohd Ruslan & Christopher Gan & Baiding Hu & Nguyen Thi Thieu Quang, 2020. "Impact of Microcredit on SMEs Performance in Malaysia," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(1), pages 109-130, June.
    17. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    18. Claudia Ranocchia & Luca Lambertini, 2021. "Porter Hypothesis vs Pollution Haven Hypothesis: Can There Be Environmental Policies Getting Two Eggs in One Basket?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 177-199, January.
    19. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    20. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    21. Sunak, Yasin & Madlener, Reinhard, 2016. "The impact of wind farm visibility on property values: A spatial difference-in-differences analysis," Energy Economics, Elsevier, vol. 55(C), pages 79-91.
    22. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    23. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    24. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
    25. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    26. Fei Wang & Changjian Wang & Jing Chen & Zeng Li & Ling Li, 2020. "Examining the determinants of energy-related carbon emissions in Central Asia: country-level LMDI and EKC analysis during different phases," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7743-7769, December.
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