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Can inter-provincial transmission reduce regional carbon emissions? Evidence from China

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Listed:
  • Wang, Yongpei
  • Yan, Qing
  • Yang, Jieru
  • Komonpipat, Supak
  • Zhang, Qian

Abstract

Plagued by worsening pollution in load centers along the eastern coastal regions such as Beijing-Tianjin -Hebei, China is reducing local coal-fired power plants in those regions and relying more on inter-regional power transmission. In recent years, China has accelerated the construction of the West-East Electricity Transmission Project and planned and constructed a number of Ultra-high Voltage (UHV) transmission lines. However, how the impact of inter-regional transmission on carbon emissions needs empirical verification. This paper aims to study the carbon emission reduction effect of inter-regional transmission under nested models of the spatial econometric model for panel data. The empirical results show that although the non-dynamic spatial econometric analysis can find the carbon emission reduction effect of inter-provincial transmission, the long-term effect obtained by the dynamic spatial econometric analysis indicates that the inter-provincial transmission can bring about a slight increase in carbon emissions. The inter-provincial power transmission needs to be supported by sustainable share growth of renewable energy to achieve the targeted mitigation of carbon emissions.

Suggested Citation

  • Wang, Yongpei & Yan, Qing & Yang, Jieru & Komonpipat, Supak & Zhang, Qian, 2024. "Can inter-provincial transmission reduce regional carbon emissions? Evidence from China," Energy Policy, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:enepol:v:184:y:2024:i:c:s0301421523005001
    DOI: 10.1016/j.enpol.2023.113915
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    as
    1. Parent, Olivier & LeSage, James P., 2010. "A spatial dynamic panel model with random effects applied to commuting times," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 633-645, June.
    2. Karmellos, M. & Kopidou, D. & Diakoulaki, D., 2016. "A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries," Energy, Elsevier, vol. 94(C), pages 680-692.
    3. Zeng, Ming & Duan, Jinhui & Wang, Liang & Zhang, Yingjie & Xue, Song, 2015. "Orderly grid connection of renewable energy generation in China: Management mode, existing problems and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 14-28.
    4. Vlachou, Andriana & Vassos, Spyros & Andrikopoulos, Andreas, 1996. "Energy and environment: Reducing CO2 emissions from the electric power industry," Journal of Policy Modeling, Elsevier, vol. 18(4), pages 343-376, August.
    5. Song, Feng & Bi, De & Wei, Chu, 2019. "Market segmentation and wind curtailment: An empirical analysis," Energy Policy, Elsevier, vol. 132(C), pages 831-838.
    6. Ryan R. Brady, 2011. "Measuring the diffusion of housing prices across space and over time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 213-231, March.
    7. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    8. Pablo-Romero, María del P. & De Jesús, Josué, 2016. "Economic growth and energy consumption: The Energy-Environmental Kuznets Curve for Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1343-1350.
    9. Sheng, Pengfei & Guo, Xiaohui, 2018. "Energy consumption associated with urbanization in China: Efficient- and inefficient-use," Energy, Elsevier, vol. 165(PB), pages 118-125.
    10. Huijie Yan, 2015. "Provincial energy intensity in China: The role of urbanization," Post-Print hal-01457329, HAL.
    11. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    12. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
    13. James LeSage & Yuxue Sheng, 2014. "A spatial econometric panel data examination of endogenous versus exogenous interaction in Chinese province-level patenting," Journal of Geographical Systems, Springer, vol. 16(3), pages 233-262, July.
    14. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    15. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    16. Zhu, Fahua & Zheng, Youfei & Guo, Xulin & Wang, Sheng, 2005. "Environmental impacts and benefits of regional power grid interconnections for China," Energy Policy, Elsevier, vol. 33(14), pages 1797-1805, September.
    17. Sugiyama, Masahiro, 2012. "Climate change mitigation and electrification," Energy Policy, Elsevier, vol. 44(C), pages 464-468.
    18. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    19. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    20. Raymond W. Goldsmith, 1951. "A Perpetual Inventory of National Wealth," NBER Chapters, in: Studies in Income and Wealth, Volume 14, pages 5-73, National Bureau of Economic Research, Inc.
    21. Wang, Yongpei & Yan, Weilong & Zhuang, Shangwen & Zhang, Qian, 2019. "Competition or complementarity ? The hydropower and thermal power nexus in China," Renewable Energy, Elsevier, vol. 138(C), pages 531-541.
    22. Gao, Yuning & Li, Meng & Xue, Jinjun & Liu, Yu, 2020. "Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation," Energy Economics, Elsevier, vol. 90(C).
    23. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    24. Weigang Zhao & Yunfei Cao & Bo Miao & Ke Wang & Yi-Ming Wei, 2018. "Impacts of shifting China¡¯s final energy consumption to electricity on CO2 emission reduction," CEEP-BIT Working Papers 115, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    25. Stuart McMenamin, J. & Monforte, Frank A. & Sioshansi, Fereidoon P., 1997. "Environmental benefits of electrification and end-use efficiency," The Electricity Journal, Elsevier, vol. 10(4), pages 26-33, May.
    26. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.
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