Digital technology adoption and clean energy transition among rural households in China
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 (AI 翻訳)
Wen Wang, Yi Zhang (9093), Risheng Gao
🤖 gxceed AI 要約
日本語
本研究は中国江西省農村部の家庭データを用い、デジタル技術の採用がクリーンエネルギー消費強度に正の影響を与えることを実証。非農業雇用の増加と社会資本の強化が経路として機能。情報収集利用が娯楽利用よりも強い関連を示す。
English
This study uses micro-survey data from rural Jiangxi, China, to show that digital technology adoption positively correlates with clean energy consumption intensity. Pathways include increased non-farm employment and stronger social capital. Information acquisition use shows a stronger association than social entertainment use.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国農村部のエネルギー転換に焦点を当てており、日本の農山漁村におけるエネルギー政策やデジタル活用戦略への示唆は限定的だが、途上国支援の文脈では参考になる。
In the global GX context
While specific to rural China, the study offers empirical evidence on how digital access can accelerate household clean energy transitions, relevant for global efforts in rural electrification and energy poverty alleviation.
👥 読者別の含意
🔬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.
📄 Abstract（原文）
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.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-56571-wfirst seen 2026-06-14 04:54:56
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