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Photovoltaic anxiety? Sentiment analysis based on online comments in residential photovoltaic power generation

住宅用太陽光発電への不安?オンラインコメントに基づく感情分析 (AI 翻訳)

Min Wei

Transactions in Energy and Sustainability📚 査読済 / ジャーナル2026-04-08#エネルギー転換Origin: CN
DOI: 10.1177/29768632261424710
原典: https://doi.org/10.1177/29768632261424710

🤖 gxceed AI 要約

日本語

中国の住宅用太陽光発電に関するオンラインコメント2371件を分析。肯定的感情65.71%、否定的19.20%だが、強度別では弱い肯定が多く、強い否定が優位。契約詐欺や放射能への懸念が顕著。高齢者保護や契約制度の標準化を提言。

English

Analyzes 2371 online comments on residential PV in China. Positive sentiment 65.71%, negative 19.20%, but intensity analysis shows weak positive and stronger negative emotions. Key concerns: contracts, fraud, radiation. Recommends standardized contracts and elderly protection.

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

中国の事例だが、日本でも住宅用太陽光発電の普及には住民の信頼が不可欠。本手法はSNS分析による世論把握に応用可能。

In the global GX context

While focused on China, this study provides a replicable methodology for assessing public sentiment towards residential PV, crucial for global energy transition. Findings on contract and trust issues are relevant for any market expanding distributed solar.

👥 読者別の含意

🔬研究者:Novel application of sentiment analysis to renewable energy adoption, offering methodological insights and a large Chinese dataset.

🏢実務担当者:Use the identified key concerns (contract transparency, elder exploitation) to improve customer communication and trust-building in residential PV sales.

🏛政策担当者:Recommendations to standardize contracts and launch targeted protections for elderly consumers can inform policy to accelerate PV deployment.

📄 Abstract(原文)

With the advancement of the clean energy transition, residential photovoltaic (PV) power generation has become a key pathway for rural energy transformation and the promotion of rural revitalization. However, some members of the public have cognitive biases and a crisis of trust toward it. Much existing research on energy transition focuses on analyzing influencing factors and theoretical deliberation, with relatively limited in-depth investigation from the public perspective regarding their responses and attitudes. Given this gap, this paper intends to conduct sentiment analysis on online discussions concerning residential PV power generation in China. Objective: To reveal public sentiment orientations and key concerns, delve into underlying issues, and provide effective recommendations for promoting the development of residential PV systems. Method: Taking China as a case, the study conducted high-frequency keyword analysis, semantic network analysis, and sentiment analysis on 2371 online comments related to “Residential photovoltaic,” “Distributed photovoltaic,” or “Rural photovoltaic power generation.” Key Findings: The results of sentiment analysis showed that positive sentiment accounted for 65.71%, neutral sentiment for 15.08%, and negative sentiment for 19.20%. However, segmental statistics revealed that the combined proportion of high and moderate positive emotions was only 4.79%, while that of high and moderate negative emotions reached 5.63%. This shows public sentiment toward residential PV is a mixture of positive and negative feelings, with negative emotions dominating. These negative emotions focused on keywords such as “Contract,” “Being deceived,” “Radiation,” and “Roof.” Root Causes: The primary issues arise from four key areas: unilateral imbalance in rights and obligations during contract exchanges; exploitation of information asymmetry among the elderly; amplified costs due to limited or unknown technological literacy; and hidden cost deprivation related to rooftop rights. To address these concerns, this paper puts forward the following recommendations. First, standardize the contract exchange system. Second, launch targeted protection initiatives for the elderly population. Third, establish a multi-faceted, collaborative system for popularizing scientific knowledge about technology. Fourth, standardize rooftop resource exchange practices.

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