Abstract

The 2060 carbon neutral target reflects the long-term equilibrium and stability of production activities and the natural environment. As an important part of Chinese energy structure, the operation and transformation of power enterprises will face higher requirements. Although the rapid development of smart grids provides necessary technical support for power enterprises to build a modern energy system with green power as the core, whether power enterprises can use smart grids to improve their operating performance and environmental performance has yet to be discussed. The differences caused by the heterogeneity of property rights will also have an impact on the green transformation and development of enterprises. This paper selects 25 Chinese power enterprises as the research objects and uses the 2011–2019 enterprise panel data and the data envelopment analysis model to evaluate the operating performance and environmental performance of power enterprises. The results show that the overall fluctuation trend of the total factor productivity index and green total factor productivity index of power enterprises are W-shaped, and technological progress is the main driving force for the improvement of power operating performance and environmental performance; Compared with enterprises with a single power generation method, enterprises with diversified power generation methods performed better in their overall total factor productivity index. After that, text mining and machine learning methods are used to classify the text of the enterprise’s annual report to determine whether the enterprise applies smart grid technology for production and operation activities. Finally, using feasible generalized least squares method (FLGS) and dynamic panel system generalized moment estimation (SYS-GMM) to analyze the impact of smart grid on the operating performance and environmental performance of power enterprises, and the nature of corporate property rights in this process. It is found that smart grids can improve the operating performance and environmental performance of power enterprises; compared with state-owned enterprises, non-state-owned enterprises can achieve better performance in the application of smart grids to improve operating performance and environmental performance. Finally, this study provides corresponding policy recommendations for power enterprises to achieve performance improvement and green transformation development.

Highlights

  • The 2021 Chinese government work report first proposed the goal of “carbon peak and carbon neutrality”

  • After the Hausman test of the model, the results show that the fixedeffect model is more suitable, so this paper chooses the fixedeffect model for estimation

  • The results show that the model has problems with heteroscedasticity between groups, autocorrelation within groups, and contemporaneous related problems

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Summary

Introduction

The 2021 Chinese government work report first proposed the goal of “carbon peak and carbon neutrality”. The smart grid integrates big data, Internet of Things, 5G and other digital technologies, and realizes high-quality development of China’s energy through the application of scientific and technological achievements such as advanced sensor technology and measurement technology. It has strong self-healing ability and reliability, and can realize the efficient use of power system equipment resources through digital technology and the coordination and cooperation among the power generation, transmission, distribution, and use parties to improve the power system energy utilization efficiency and power supply stability

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