دورية أكاديمية
Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of 'Leader' Trap
| العنوان: | Regulation Effect of Smart Grid on Green Transformation of Electric Power Enterprises: Based on the Investigation of 'Leader' Trap |
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| المؤلفون: | Chengyu Li, Yanbing Zhang, Saurabh Pratap, Li Zhou, Baoquan Liu, Guangliang Zhou |
| المصدر: | Frontiers in Energy Research, Vol 9 (2022) |
| بيانات النشر: | Frontiers Media S.A., 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:General Works |
| مصطلحات موضوعية: | environmental performance, operating performance, malmquist-DEA, FLGS, system GMM, General Works |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2296-598X 16585348 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fenrg.2021.783786/full; https://doaj.org/toc/2296-598X |
| DOI: | 10.3389/fenrg.2021.783786 |
| URL الوصول: | https://doaj.org/article/5bbc1658534841628abb392cf821d0e7 |
| رقم الأكسشن: | edsdoj.5bbc1658534841628abb392cf821d0e7 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2296598X 16585348 |
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| DOI: | 10.3389/fenrg.2021.783786 |