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Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model

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  • Chen, Huanyu
  • Yi, Jizheng
  • Chen, Aibin
  • Peng, Duanxiang
  • Yang, Jieqiong

Abstract

Based on the panel data of 30 provinces in China from 2007 to 2019, this paper investigates the impact of green technology innovation on carbon intensity. Firstly, this paper studies the dynamic evolution and temporal and spatial pattern of China's provincial green technology innovation and carbon intensity. On this basis, the nonlinear spatial Durbin model (SDM) is used to explore the impact of green technology innovation on carbon intensity, and the relevant variables are controlled. The results show that there is a significant spatial agglomeration phenomenon in China's provincial green technology innovation level and carbon intensity. The direct impact of green technological innovation on carbon intensity in local region shows a significant "inverted-U" relationship, that is, when the level of green technological innovation is relatively low, green technological innovation will promote carbon emissions, while when the level of green technological innovation reaches a certain level, this promotion relationship will change into inhibition relationship. From the perspective of interregional spillover effect, green technological innovation also has an “inverted-U″ nonlinear impact on carbon emissions in adjacent regions, that is, the impact of green technological innovation on carbon emissions in adjacent regions is also promoted first and then restrained.

Suggested Citation

  • Chen, Huanyu & Yi, Jizheng & Chen, Aibin & Peng, Duanxiang & Yang, Jieqiong, 2023. "Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model," Energy Policy, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:enepol:v:172:y:2023:i:c:s0301421522005572
    DOI: 10.1016/j.enpol.2022.113338
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    Cited by:

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    2. Xinyu Han & Peng Qu & Jiaqi Wu & Beile Su & Ning Qiu & Lili Zhang, 2023. "Research on the Spatial Pattern of Carbon Emissions and Differentiated Peak Paths at the County Level in Shandong Province, China," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    3. Haider Mahmood & Maham Furqan & Najia Saqib & Anass Hamadelneel Adow & Muzaffar Abbas, 2023. "Innovations and the CO 2 Emissions Nexus in the MENA Region: A Spatial Analysis," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Chiqun Hu & Xiaoyu Ma & Yangqing Liu & Jiexiao Ge & Xiaohui Zhang & Qiangyi Li, 2023. "Mechanism and Spatial Spillover Effect of New-Type Urbanization on Urban CO 2 Emissions: Evidence from 250 Cities in China," Land, MDPI, vol. 12(5), pages 1-25, May.
    5. Shengzhe Ruan & Yi Song & Jinhua Cheng & Cheng Zhan, 2023. "Green Eco-Innovation and Supply of Critical Metals: Evidence from China," Sustainability, MDPI, vol. 15(17), pages 1-24, August.
    6. Xiaodong Zhang & Yongjun Tang & Haoying Han & Zhilu Chen, 2023. "Evolution Characteristics and Main Influencing Factors of Carbon Dioxide Emissions in Chinese Cities from 2005 to 2020," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    7. Bai, Dongbei & Hu, Jin & Irfan, Muhammad & Hu, Mingjun, 2023. "Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model," Energy Economics, Elsevier, vol. 125(C).
    8. Ahakwa, Isaac & Xu, Yi & Tackie, Evelyn Agba & Odai, Leslie Afotey & Sarpong, Francis Atta & Korankye, Benard & Ofori, Elvis Kwame, 2023. "Do natural resources and green technological innovation matter in addressing environmental degradation? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity," Resources Policy, Elsevier, vol. 85(PB).

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