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Study on the optimal policy options for improving energy efficiency and Co-controlling carbon emission and local air pollutants in China

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  • Song, Peng
  • Mao, Xianqiang
  • Li, Ziyan
  • Tan, Zhixiong

Abstract

China faces multiple pressures from both global climate change and local pollution. The computable general equilibrium model is used to examine and compare three policy instruments including environmental protection inspection, carbon tax, and non-fossil energy subsidy, in order to determine the optimal policy option to improve energy efficiency and co-control carbon as well as local pollutant emissions with cost-effectiveness. The results show that the ongoing environmental protection inspection can generate a considerable reduction effect on China's local air pollutants and CO2, and its effect on local air pollutants is more significant. In comparison, the carbon tax policy achieves more balanced co-control effects on local air pollutants and CO2 reductions. As a result of recycling carbon tax revenue to support non-fossil energy subsidies, the energy efficiency and co-control effectiveness are better than a carbon tax alone, through promoting a composition effect and a technology effect in the economy. Moreover, if the environmental protection inspection involves CO2 mitigation targets, the policy effects of the carbon tax and non-fossil energy subsidies can be strengthened via increasing costs for non-compliance and improving enforcement. For some developing countries like China, given the lack of enforcement, corruption, as well as a questionable deterrent effect of market-based instruments, policy mix designs involving comprehensive inspection, might be second-best options for future energy efficiency promotion and co-control of local air pollutants and CO2 to gain double dividend in both economic and environmental welfare.

Suggested Citation

  • Song, Peng & Mao, Xianqiang & Li, Ziyan & Tan, Zhixiong, 2023. "Study on the optimal policy options for improving energy efficiency and Co-controlling carbon emission and local air pollutants in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:rensus:v:175:y:2023:i:c:s1364032123000230
    DOI: 10.1016/j.rser.2023.113167
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    References listed on IDEAS

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    1. Shan, Shan & Ahmad, Munir & Tan, Zhixiong & Adebayo, Tomiwa Sunday & Man Li, Rita Yi & Kirikkaleli, Dervis, 2021. "The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability," Energy, Elsevier, vol. 234(C).
    2. Bao, Qin & Tang, Ling & Zhang, ZhongXiang & Wang, Shouyang, 2013. "Impacts of border carbon adjustments on China's sectoral emissions: Simulations with a dynamic computable general equilibrium model," China Economic Review, Elsevier, vol. 24(C), pages 77-94.
    3. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    4. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    5. Ruxin Wu & Piao Hu, 2019. "Does the “Miracle Drug” of Environmental Governance Really Improve Air Quality? Evidence from China’s System of Central Environmental Protection Inspections," IJERPH, MDPI, vol. 16(5), pages 1-20, March.
    6. Mudan Wang & Xianqiang Mao & Youkai Xing & Jianhong Lu & Peng Song & Zhengyan Liu & Zhi Guo & Kevin Tu & Eric Zusman, 2021. "Breaking down barriers on PV trade will facilitate global carbon mitigation," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    7. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    8. Zhou, Ying & Wang, Lizhi & McCalley, James D., 2011. "Designing effective and efficient incentive policies for renewable energy in generation expansion planning," Applied Energy, Elsevier, vol. 88(6), pages 2201-2209, June.
    9. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    10. Monforti-Ferrario, Fabio & Blanco, Marta Poncela, 2021. "The impact of power network congestion, its consequences and mitigation measures on air pollutants and greenhouse gases emissions. A case from Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    11. Tang, Ling & Shi, Jiarui & Yu, Lean & Bao, Qin, 2017. "Economic and environmental influences of coal resource tax in China: A dynamic computable general equilibrium approach," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 34-44.
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    1. Guan, Zepeng & Hossain, Mohammad Razib & Sheikh, Muhammad Ramzan & Khan, Zeeshan & Gu, Xiao, 2023. "Unveiling the interconnectedness between energy-related GHGs and pro-environmental energy technology: Lessons from G-7 economies with MMQR approach," Energy, Elsevier, vol. 281(C).

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