導入前の受容：4つの新興ネットゼロエネルギー技術に関する公衆受容研究の系統的レビューと測定監査

Acceptance before deployment: a systematic review and measurement audit of public acceptance research on four emerging net-zero energy technologies (原題)

Lee J

Research Squareプレプリント2026-11-05#エネルギー転換対象セクター: power

DOI: 10.21203/rs.3.rs-10375155/v1

原典: https://doi.org/10.21203/rs.3.rs-10375155/v1

🤖 gxceed AI 要約

日本語

SMR・水素・CCUS・洋上風力の4技術を対象に、公衆受容研究534件をPRISMA 2020で系統レビューし測定手法を監査した研究。知覚便益・信頼・知覚リスクの関連は方向性が概ね一致する一方、近接性や社会人口統計では不整合で、距離ベースの立地判断を揺るがす。中心的な発見は測定基盤の脆弱性で、事前検証済み尺度の再利用はわずか1.5%、71.3%が場当たり的指標、82.8%が単発横断、35.2%が familiarity 未測定、72.7%が導入前技術を対象としていた。共有尺度の中核化・familiarity測定の義務化・導入段階明示・縦断設計を提言する。

English

A PRISMA 2020 systematic review and measurement audit of 534 public-acceptance studies across SMRs, hydrogen, CCUS and offshore wind. Perceived benefit, trust and risk show directionally consistent associations, but proximity and socio-demographics do not, undermining distance-based siting heuristics. The central finding is a thin measurement base: only 1.5% reused validated instruments, 71.3% used ad hoc measures, 82.8% were one-shot cross-sections, 35.2% did not measure familiarity, and 72.7% studied pre-deployment technologies. The authors propose a measurement-first agenda.

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

日本ではGX推進法・第7次エネルギー基本計画のもとでSMR・水素・CCUS・洋上風力の社会実装が政策課題となっており、地域合意形成や立地対話の設計に直接資する。統合報告書やTCFD対応で語られる「ステークホルダー・エンゲージメント」の実証的裏付けとしても読める。

In the global GX context

As ISSB/CSRD disclosure expands into transition planning, credible evidence on social licence for net-zero technologies becomes part of transition-risk assessment. The audit's call for validated instruments and deployment-stage-explicit reporting offers a methodological benchmark for social-licence and stakeholder-engagement claims in sustainability reporting.

👥 読者別の含意

🔬研究者:受容研究の測定妥当性の欠陥を定量化しており、尺度設計や縦断調査の方法論的基準として活用できる。

🏢実務担当者:水素・CCUS・洋上風力などの事業者は、住民対話や社会受容リスク評価を距離や人口統計だけに頼らず、familiarityと信頼の測定を組み込むべき。

🏛政策担当者:SMRやCCUSの導入政策では、世論の「未形成」を前提に、導入段階を明示した継続的な受容モニタリングを制度設計に組み込む必要がある。

📄 Abstract（原文）

<title>Abstract</title> <p>Deep decarbonisation increasingly depends on technologies that most citizens have never encountered: small modular reactors (SMRs), hydrogen energy systems, carbon capture, utilisation and storage (CCUS), and offshore wind. Public acceptance is widely treated as a make-or-break condition for deployment, yet the evidence has grown in technology-specific silos and has never been audited for how acceptance itself is measured. This PRISMA 2020 systematic review spans all four families. A frozen, benchmark-validated search of Scopus and OpenAlex (16,806 unique records) was screened with a calibrated human–machine workflow (kappa = 0.821; 100% benchmark recall), yielding 689 full-text candidates and 534 included primary studies. Three findings stand out. First, the field is expanding rapidly and asymmetrically: 57% of the evidence post-dates the most recent comprehensive review, with CCUS (217 studies) and hydrogen (186) dominating, offshore wind (136) consolidating, and SMRs (17) markedly under-studied relative to policy salience. Second, study-level associations are directionally consistent for perceived benefit (70% positive), trust (58% positive) and perceived risk (54% negative), but inconsistent for proximity and socio-demographics, challenging distance-based siting heuristics. Third — the central result — the measurement base is thin: only 1.5% of studies reused a pre-validated acceptance instrument, 71.3% relied on ad hoc measures, 82.8% were one-shot cross-sections, 35.2% did not measure familiarity, and 72.7% examined pre-deployment technologies. Much of the literature thus appears to record unstable constructions of unfamiliar objects rather than settled public judgements. A measurement-first agenda — shared instrument cores, mandatory familiarity assessment, deployment-stage-explicit reporting, and longitudinal designs — is proposed.</p>

🔗 Provenance — このレコードを発見したソース

Research Square https://doi.org/10.21203/rs.3.rs-10375155/v1first seen 2026-11-10 04:22:20 · last seen 2026-11-13 04:28:38

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