← 論文一覧に戻る

カザフスタンのエネルギー転換への支持:地域的態度とエネルギー改革の政治(レプリケーションデータ)

Replication Data for: Soltybayeva, S., Neafie, J., Junussova, M. and Bayramov, E. (2026) 'Who Supports the Energy Transition? Regional Attitudes and the Politics of Energy Reform in Kazakhstan', working paper, Nazarbayev University, Astana. (原題)

Jessica Neafie

Harvard Dataverseデータセット2026-07-30#エネルギー転換
DOI: 10.7910/dvn/s003j1
原典: https://doi.org/10.7910/dvn/s003j1

🤖 gxceed AI 要約

日本語

カザフスタンの19都市で実施した電話調査(2025年2-3月、n=1,014)に基づき、都市経済のタイプ別にエネルギー転換への市民の態度を分析。石炭依存都市や石油ガス都市など、脱炭素化への曝露の違いによる態度の差異を明らかにし、公正な移行のための政策的示唆を提供する。データとコードが公開されている。

English

This dataset provides survey data from 1,014 adults across 19 Kazakh cities, stratified by urban economic type (e.g., coal-dependent, oil and gas), to analyze public attitudes toward a just energy transition. It includes an Energy Transition Attitudes Index and four just transition dimensions, with replication code and codebook. Findings reveal regional variation in support, informing policy for equitable decarbonization.

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

日本のエネルギー転換政策、特に石炭依存地域の公正な移行を考える上で、地域間格差と市民意識の測定方法が参考になる。SSBJや有報での気候関連開示が進む中、社会的受容性のデータは企業の移行計画にも有用。

In the global GX context

This study offers a replicable framework for measuring public attitudes toward just transition, relevant for global climate policy and disclosure. It highlights regional disparities in energy transition support, which can inform stakeholder engagement and social impact assessments under ISSB and CSRD frameworks.

👥 読者別の含意

🔬研究者:Provides a validated survey instrument and replication data for studying energy transition attitudes in resource-dependent regions.

🏢実務担当者:Useful for companies in extractive or energy-intensive sectors to understand regional stakeholder concerns and inform social license strategies.

🏛政策担当者:Offers evidence on regional variation in transition support, guiding targeted policies for just transition in coal and oil-dependent areas.

📄 Abstract(原文)

This dataset contains the survey data, bilingual codebook, and replication code for a study of public attitudes toward a just energy transition in Kazakhstan. The data come from an original public opinion survey conducted by telephone in Kazakh and Russian in February and March 2025, with 1,014 adults aged 18 and over across 19 cities. A stratified design allocated cities to five types — large diversified, coal-dependent, oil and gas, industrial, and other or mixed — in order to compare attitudes across urban economies with different forms of exposure to decarbonisation. Single-industry towns are deliberately oversampled, so the data describe variation across types of urban economic context rather than providing national estimates. The instrument covers employment, environmental impact, economic diversification, and perceptions of how the transition is being managed. Deposited items support the construction of an Energy Transition Attitudes Index and four just transition dimensions (governance, planning awareness, workforce, and regional resource capacity), following Krawchenko and Gordon (2021). The deposit includes the analysis dataset in CSV format, a codebook giving every question and response option in the original Russian with English translation, a self-contained R script reproducing all published tables and figures, and the online appendices. Open-ended responses and all identifiers have been removed.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。