Entrepreneurship and the adoption of solar technology as drivers of urban energy transitions in peri-urban areas
周辺都市部における太陽光技術の導入と起業家精神が都市エネルギー転換を促進する (AI 翻訳)
Diana Eréndira Lara-Llanderal, Karla G. Cedano
🤖 gxceed AI 要約
日本語
メキシコの周辺都市部で100人の起業家を調査し、k-meansクラスタリングと主成分分析を用いて太陽光技術導入の社会エネルギープロファイルを特定。新規・中間・既存の3つの起業家タイプを識別し、導入には技術的要因だけでなく社会的・組織的要因が重要であることを示した。地域参加型のエネルギー移行戦略の枠組みを提案。
English
A mixed-method study of 100 entrepreneurs in a peri-urban Mexican community uses k-means clustering and PCA to identify three socio-energetic profiles of solar technology adoption. Findings show adoption depends on entrepreneurial maturity, productive vocations, and support networks as much as technical criteria, offering a replicable framework for community-based energy transition strategies.
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
日本の周辺都市部や地方創生における再生可能エネルギー導入の社会的要因を理解する参考になる。ただし、日本のGX政策（SSBJ等）との直接的な関連は薄く、コミュニティ参加型のエネルギー移行の事例として示唆に富む。
In the global GX context
Contributes to global discourse on decentralized renewable energy adoption by highlighting social and organizational drivers beyond technical feasibility. Offers a replicable methodology for community-based energy transition strategies, relevant for urban planning and energy policy in developing and emerging economies.
👥 読者別の含意
🔬研究者:Provides a methodological framework for analyzing socio-energetic profiles using clustering, applicable to other peri-urban contexts.
🏢実務担当者:Offers insights for designing differentiated solar adoption strategies based on entrepreneur profiles, useful for community energy programs.
🏛政策担当者:Highlights the importance of social and organizational factors in renewable energy adoption, informing community-based energy transition policies.
📄 Abstract（原文）
Urban energy transition requires understanding how social and productive dynamics influence technological adoption, especially in peri-urban areas characterized by informal economies and diverse productive vocations. The objective of this study is to identify profiles of entrepreneurship and energy use to guide strategies for adopting decentralized solar technologies. A mixed-design field study was conducted based on a structured survey applied to 100 entrepreneurs from a peri-urban community in Mexico. Eleven indicators derived from participatory workshops were constructed and coded as mixed variables through inductive preprocessing techniques. The data were analyzed using the k-means algorithm and visualized through Principal Component Analysis (PCA) to identify socio-energetic and vocational patterns. The analysis identified three differentiated profiles: (1) new entrepreneurs with solar potential, (2) intermediate entrepreneurs with growing adoption, and (3) consolidated entrepreneurs with high solar integration. The clusters show substantial differences in entrepreneurial experience, solar adoption, perceived relevance of energy, productive vocations, and support networks. PCA revealed three dimensions that structure technological adoption: entrepreneurial maturity, productive vocations, and capacities and support networks, which together explain most of the variability. The socio-energetic profiles show that solar adoption in peri-urban areas depends as much on social and organizational factors as on technical criteria. The proposed methodology offers a replicable framework for designing differentiated urban energy-transition strategies grounded in community participation, energy citizenship, and supportive policies to strengthen local entrepreneurial ecosystems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.esd.2026.102061first seen 2026-07-16 05:05:09
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