姚尚衡, 傅晨玲, 曾金灿, 何耿生, 张舒涵, 冯天天, 高苏凡. 智能电网技术创新对电力行业绿色转型的非线性影响[J]. 智慧电力, 2024, 52(2): 1-7,16.
引用本文: 姚尚衡, 傅晨玲, 曾金灿, 何耿生, 张舒涵, 冯天天, 高苏凡. 智能电网技术创新对电力行业绿色转型的非线性影响[J]. 智慧电力, 2024, 52(2): 1-7,16.
YAO Shang-heng, FU Chen-ling, CENG Jin-can, HE Geng-sheng, ZHANG Shu-han, FENG Tian-tian, GAO Su-fan. Nonlinear Impact of Smart Grid Technology Innovation on Green Transformation of Power Industry[J]. Smart Power, 2024, 52(2): 1-7,16.
Citation: YAO Shang-heng, FU Chen-ling, CENG Jin-can, HE Geng-sheng, ZHANG Shu-han, FENG Tian-tian, GAO Su-fan. Nonlinear Impact of Smart Grid Technology Innovation on Green Transformation of Power Industry[J]. Smart Power, 2024, 52(2): 1-7,16.

智能电网技术创新对电力行业绿色转型的非线性影响

Nonlinear Impact of Smart Grid Technology Innovation on Green Transformation of Power Industry

  • 摘要: 环境规制是倒逼电力企业进行智能电网技术创新的重要手段。研究了智能电网技术创新对中国电力行业绿色转型的影响及环境规制的作用。通过非期望产出SBM模型测算2007—2021年中国省级电力行业绿色全要素生产率,并利用面板回归和门槛回归模型分析智能电网技术创新与绿色转型的关系。结果表明,智能电网技术创新与电力行业绿色转型呈U型关系,且在2016—2021年及东部、中部地区更为显著。此外,环境规制在智能电网技术创新与电力行业绿色转型的U型关系中产生了门槛效应。

     

    Abstract: Environmental regulation serves as a crucial driver compelling electric power enterprises to innovate in smart grid technology.This study explores the impact of innovation in the smart grid technology on the green transformation of China’s power industry and investigates the role of the environmental regulation. Utilizing a non-expected output SBM model,the green total factor productivity of China’s provincial power industry is quantified spanning from 2007 to 2021. The panel regression and threshold regression models are employed to analyze the relationship between the innovation in the smart grid technology and the green transformation. The findings reveal a U-shaped relationship between the innovation in the smart grid technology and the power industry’s green transformation,becoming most pronounced from 2016 to 2021 and concentrated in the eastern and central regions. Moreover,the environmental regulation introduces a threshold effect within the U-shaped relationship.

     

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