デジタル技術の採用と中国農村家庭におけるクリーンエネルギー移行

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides empirical evidence on mechanisms linking digital adoption to clean energy transition, with methodological insights using PSM.

🏢実務担当者:Highlights the potential of digital tools to promote clean energy adoption in rural areas, relevant for energy access programs.

🏛政策担当者:Suggests that policies bridging digital divides can complement clean energy transition efforts in rural regions.

数字技术改变了农村家庭要素配置方式及其决策环境。然而，我们尚未完全理解数字技术的采用如何促成家庭能源转型。本研究使用的微观调查数据来自中国江西省“百村千户”项目。研究采用有序probit模型和倾向得分匹配法，考察数字技术采用与农村家庭清洁能源消费强度之间的关联。估计结果显示，二者之间存在正向且统计显著的关联，且在调整采用者与非采用者之间的可观测差异后，匹配结果保持一致。机制分析揭示了两种路径。数字技术的采用与非农就业占比提高相关，这与收集传统燃料的时间机会成本上升及预算能力改善相一致；同时与更强的社会资本相关，这与更强的同伴效应及采用清洁能源时更低的交易摩擦相一致。该关联在炊事能源方面最强，其次是空间供暖，而在热水供应方面最弱。此外，信息获取用途与清洁能源消费的关联强于社交娱乐用途。这些发现表明，缩小数字接入和有效使用方面的差距，可能有助于加快中国农村家庭清洁能源转型的努力。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

Digital technology has changed how rural households allocate factors and the environment they make decisions in. Yet, we do not fully understand how digital adoption can lead to a household energy transition. The micro survey data utilized in this study are from the Hundred Villages and Thousand Households project, Jiangxi Province, China. It utilizes ordered probit models and propensity score matching to study the link between digital technology adoption and the intensity of rural households' clean energy consumption. The estimates show a positive and statistically significant association, and the matching results remain consistent after adjusting for observable differences between adopters and non-adopters. Mechanism analyses suggest two pathways. Digital adoption is associated with a higher non-farm employment share, consistent with higher time opportunity costs of collecting traditional fuels and improved budget capacity, and with stronger social capital, consistent with stronger peer influence and lower transaction frictions in adopting clean energy. The association is strongest for cooking energy, followed by space heating, and weakest for water heating. In addition, information acquisition use is more strongly associated with clean energy consumption than social entertainment use. These findings suggest that narrowing gaps in digital access and effective use may complement efforts to accelerate rural household clean energy transitions in China.

• openalex https://doi.org/10.1038/s41598-026-56571-wfirst seen 2026-06-14 04:54:56 · last seen 2026-06-16 04:53:49