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The Environmental, Economic and Social Welfare Impacts of the CCREW Project in China: A Study Based on the CGE Model

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  • Ze Feng

    (School of International Economics and Trade, University of International Business and Economics, Beijing 100029, China)

  • Yingfei Huang

    (School of International Economics and Trade, University of International Business and Economics, Beijing 100029, China)

  • Zhaoyang Kong

    (Business School, University of International Business and Economics, Beijing 100029, China)

Abstract

Countries around the world have carried out digital transformations to improve their economic resilience. As the largest developing country, China put forward the “channeling computing resources from the East to the West (CCREW)” project in 2022 to balance and promote the development of various regions. This paper constructs a three-region computable general equilibrium model covering the eastern, western, and other regions and evaluates the impact of the project on economic development, social welfare, and carbon emissions in different regions. By simulating the transfer share of the CCREW project, this paper attempts to further reveal the impact of the policy both on regional differences and national development. The results show that the effects of the project are quite different among regions. Our findings can be summarized as follows. (1) In terms of carbon dioxide emissions, the policy will cause emissions to shift from the East to the West. (2) In terms of economic development, the policy will lead to an overall downward trend in the GDP of the eastern and other regions, whereas for the western region, the policy will promote the development of the regional economy. Regional differences may affect the implementation of the policy and its effects. (3) In terms of social welfare, the policy will result in an inverted U-shaped change in social welfare at the national level, which first rises and then falls, and will change from positive to negative when the transfer share exceeds 20%. At the regional level, social welfare in the eastern and other regions will decline, whereas that in the western region will show an inverted U-shaped change that first increases and then decreases. (4) In the short term, the project at the national level has reduced carbon emissions at the expense of economic development and incurred a loss in social welfare.

Suggested Citation

  • Ze Feng & Yingfei Huang & Zhaoyang Kong, 2023. "The Environmental, Economic and Social Welfare Impacts of the CCREW Project in China: A Study Based on the CGE Model," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2780-:d:1056775
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    References listed on IDEAS

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    1. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    2. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    3. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    4. Diao, Xinshen & Rattso, Jorn & Stokke, Hildegunn Ekroll, 2005. "International spillovers, productivity growth and openness in Thailand: an intertemporal general equilibrium analysis," Journal of Development Economics, Elsevier, vol. 76(2), pages 429-450, April.
    5. Bai, Hanyu & Irfan, Muhammad & Hao, Yu, 2022. "How does industrial transfer affect environmental quality? Evidence from China," Journal of Asian Economics, Elsevier, vol. 82(C).
    6. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    7. Guangxiong Mao & Wei Jin & Ying Zhu & Yanjun Mao & Wei-Ling Hsu & Hsin-Lung Liu, 2021. "Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    8. Verhoef, Peter C. & Kannan, P.K. & Inman, J. Jeffrey, 2015. "From Multi-Channel Retailing to Omni-Channel Retailing," Journal of Retailing, Elsevier, vol. 91(2), pages 174-181.
    9. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    10. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    11. Gerlagh, Reyer & Kuik, Onno, 2014. "Spill or leak? Carbon leakage with international technology spillovers: A CGE analysis," Energy Economics, Elsevier, vol. 45(C), pages 381-388.
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