New Energy Research Study Findings Have Been Reported by Researchers at Zhengzhou University of Light Industry (Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of “Leader” Trap)

2022 JAN 20 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- A new study on energy research is now available. According to news originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “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.”

Funders for this research include National Natural Science Foundation of China.

The news editors obtained a quote from the research from Zhengzhou University of Light Industry: “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.”

According to the news editors, the research concluded: “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.”

For more information on this research see: Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of “Leader” Trap. Frontiers in Energy Research, 2022,9. (Frontiers in Energy Research - http://www.frontiersin.org/energy_research). The publisher for Frontiers in Energy Research is Frontiers Media S.A.

A free version of this journal article is available at https://doi.org/10.3389/fenrg.2021.783786.

Our news journalists report that additional information may be obtained by contacting Chengyu Li, School of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou, People’s Republic of China. Additional authors for this research include Yanbing Zhang, Saurabh Pratap, Li Zhou, Baoquan Liu, Guangliang Zhou.

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