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Interregional carbon emission spillover–feedback effects in China

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  • Zhang, Youguo

Abstract

A three-region input–output model was applied in this study to analyze the emission spillover–feedback effects across the eastern, middle, and western regions of China. Results revealed that the interregional trade has important spillover effects (SEs) on the emissions of each region, particularly in the middle and western regions, but the feedback effects are few. Although the eastern regional final demands have a smaller economic SE per unit than those of the middle and western regions in 2002–2010, its emission SE gradually exceeded that of the two other regions. The interregional trade policy has to be enforced in the future, but the emission SEs should be controlled efficiently. Therefore, the central government should continue to implement the policies on the reduction of energy and carbon intensities from the past decade, limit coal consumption, and encourage renewable fuel development. At the same time, the central government and the eastern region can help the middle and western regions control their carbon intensity by providing fiscal, technological, and training assistance. The middle and western regions should set strict admittance standards for energy-intensive plants that transferred from the eastern region.

Suggested Citation

  • Zhang, Youguo, 2017. "Interregional carbon emission spillover–feedback effects in China," Energy Policy, Elsevier, vol. 100(C), pages 138-148.
  • Handle: RePEc:eee:enepol:v:100:y:2017:i:c:p:138-148
    DOI: 10.1016/j.enpol.2016.10.012
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    References listed on IDEAS

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    Cited by:

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    3. Yan, Bingqian & Duan, Yuwan & Wang, Shouyang, 2020. "China’s emissions embodied in exports: How regional and trade heterogeneity matter," Energy Economics, Elsevier, vol. 87(C).
    4. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    5. Yanqiu He & Hongchun Wang & Rou Chen & Shiqi Hou & Dingde Xu, 2022. "The Forms, Channels and Conditions of Regional Agricultural Carbon Emission Reduction Interaction: A Provincial Perspective in China," IJERPH, MDPI, vol. 19(17), pages 1-22, September.
    6. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    7. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    8. Luís Miguel Marques & José Alberto Fuinhas & António Cardoso Marques, 2019. "Are There Spillovers from China on the Global Energy-Growth Nexus? Evidence from Four World Regions," Economies, MDPI, vol. 7(2), pages 1-19, June.
    9. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    10. Zhangqi Zhong & Xu Zhang & Weina Gao, 2020. "Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    11. Luís Miguel Marques & José Alberto Fuinhas & António Cardoso Marques, 2021. "China’s Effect on World Energy-Growth Nexus: Spillovers Evidence from Financial Development and CO 2 Emissions," Economies, MDPI, vol. 9(4), pages 1-24, September.
    12. Yanqiu He & Xueying Cheng & Fang Wang & Ya Cheng, 2020. "Spatial correlation of China’s agricultural greenhouse gas emissions: a technology spillover perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2561-2590, December.
    13. Yanmei Li & Xiushan Bai, 2022. "How Can China and the Belt and Road Initiative Countries Work Together Responding to Climate Change: A Perspective on Carbon Emissions and Economic Spillover Effects," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
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    More about this item

    Keywords

    Carbon emissions; Interregional spillover-feedback effects; Multi-regional input-output model;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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