缓解能源贫困能否增强中国的社会信任？一种基于双机器学习建模的方法

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-05-08 DOI:10.1016/j.eneco.2025.108560

Yulin Liu , Haoran Wei

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引用次数: 0

摘要

增强社会信任是社会稳定和发展的关键。本文基于2012 - 2020年中国家庭面板研究数据，从能源可及性、能源服务、能源效率和能源需求四个维度度量能源贫困指数。在我们的分析中，为了研究能源贫困对社会信任的影响及其内在机制，我们采用了双机器学习（DML）模型，如随机森林（RF）。主要结果表明，能源贫困的减少将促进社会信任的提高。这与缓解能源贫困将改善居民健康、提高居民受教育水平的机制有关。此外，我们观察到能源贫困对社会信任的影响在性别和住所方面存在差异：男性和农村居民的影响更为显著。这些发现有助于我们通过设计与能源贫困相关的政策来设计改善社会信任的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Will alleviating energy poverty enhance social trust in China? An approach based on dual machine learning modeling

Improving social trust is crucial for social stability and development. Based on the data of China Family Panel Studies from 2012 to 2020, this paper measures the energy poverty index from the four dimensions of energy accessibility, energy service, energy efficiency, and energy demand. In our analysis, to study the impact of energy poverty on social trust and its internal mechanism, we employ dual machine learning (DML) model, such as Random Forest (RF). The main results indicate that the reduction of energy poverty will promote the improvement of social trust. This is related to the mechanism that the alleviation of energy poverty will improve residents' health and increase their education level. Further, we observe differences in the impact of energy poverty on social trust by gender and domicile: it is more significant for males and rural dwellers. These findings help us devise solutions for improving social trust by designing policies related to energy poverty.

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.