ADAPTATION TO CLIMATE CHANGE IN RURAL CHINA TO ENHANCE THE WELFARE EFFECTS OF CLEAN ENERGY TRANSITION CONSIDERING TOPOGRAPHY AND E-COMMERCE

Authors

  • Shi Yin Hebei Agricultural University
  • Xiaolu Lv Hebei Agricultural University
  • Meihui Liu Hebei Agricultural University

DOI:

https://doi.org/10.15544/mts.2024.28

Abstract

The purpose of this paper is to explore the welfare effects of clean energy adoption, especially its impact on the environment, economy and farmers’ production and life. Additionally, it explores the adaptation to climate change in rural China. In this study, a differentially differential model is used to effectively separate the welfare effects of clean energy by comparing the changes before and after the promotion of clean energy. The results are as follows. (1) the adoption of clean energy can increase the income of rural production and living energy by 43.90% and reduce rural carbon emissions by 33.00%. (2) At present, the impact of rural clean energy adoption on farmers’ health and rural energy use efficiency has not been shown. (3) The proportion of clean energy in mountain areas (57.69%) is much lower than that in plain areas (84.21%), and the use of traditional energy in plain areas is reduced to 15.79%. Mountain residents, migrant workers can make them understand the different rural energy use situation from the local area. The popularity of e-commerce in both plain and mountainous areas has a significant impact, and the impact on plain areas is greater than that in mountainous areas. This study not only provides a scientific evaluation method for the welfare effects of clean energy, but also provides theoretical support and practical guidance for the future energy policy formulation and the promotion and application of clean energy.

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Published

2024-09-30

How to Cite

Yin, S., Lv, X., & Liu, M. (2024). ADAPTATION TO CLIMATE CHANGE IN RURAL CHINA TO ENHANCE THE WELFARE EFFECTS OF CLEAN ENERGY TRANSITION CONSIDERING TOPOGRAPHY AND E-COMMERCE. Management Theory and Studies for Rural Business and Infrastructure Development, 46(3), 285–311. https://doi.org/10.15544/mts.2024.28

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Articles