中国における制度の質とジェンダー不均衡が炭素強度に及ぼす影響
Effects of institutional quality and gender imbalance on carbon intensity in China (原題)
Waseem Alam, Abdul Moeed, Wasi Yazdani, Md Rahber Alam
🤖 gxceed AI 要約
日本語
本研究は1995〜2024年の中国データを用い、制度の質、ジェンダー不均衡、再生可能エネルギー消費、貿易開放度、研究開発投資が炭素強度に与える長期的影響をFMOLSとCCRで分析。制度の質、再生可能エネルギー、研究開発は炭素強度を低下させるが、貿易開放度とジェンダー不均衡は上昇させることを示した。政策含意として、制度強化と再生可能エネルギー促進を提言。
English
This study analyzes the long-run effects of institutional quality, gender imbalance, renewable energy consumption, trade openness, and R&D investment on carbon intensity in China from 1995 to 2024 using FMOLS and CCR estimators. Findings show that institutional quality, renewables, and R&D reduce carbon intensity, while trade openness and gender imbalance increase it. Policy implications emphasize strengthening institutions and promoting clean energy.
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
中国の事例は日本企業のサプライチェーン排出削減や海外投資判断に示唆。制度質と再生可能エネルギー導入の重要性は、日本のGX政策やアジア展開にも関連。
In the global GX context
This study adds to global literature by integrating institutional and socio-demographic factors into carbon intensity analysis, relevant for countries pursuing sustainable transitions. It underscores the role of governance and renewable energy in decarbonization, informing policy frameworks beyond China.
👥 読者別の含意
🔬研究者:Provides empirical evidence on institutional and demographic determinants of carbon intensity, useful for comparative studies.
🏢実務担当者:Highlights the importance of institutional quality and renewables for corporate decarbonization strategies in emerging markets.
🏛政策担当者:Suggests that strengthening institutions and promoting renewables are key to reducing carbon intensity, relevant for policy design.
📄 Abstract（原文）
Climate change and rising carbon dioxide (CO₂) emissions remain central challenges to global sustainable development, particularly in rapidly industrializing economies such as China. This study examines the long-run association between institutional quality, gender imbalance, renewable energy consumption, trade openness, and research and development (R&D) investment with carbon intensity in China over the period 1995–2024. The empirical analysis is conducted within a cointegration framework using Fully Modified Ordinary Least Squares (FMOLS) and Canonical Cointegrating Regression (CCR) estimators to obtain consistent long-run estimates. The results indicate that institutional quality, renewable energy consumption, and R&D investment are negatively associated with carbon intensity, whereas trade openness and gender imbalance are positively associated with it. These findings suggest that governance quality, clean energy transition, and technological advancement are linked with improved environmental outcomes, whereas structural and demographic imbalances may be associated with environmental pressures. The study contributes to the literature by providing an integrated assessment of institutional and socio-demographic factors alongside structural variables within a unified time-series framework. However, the results should be interpreted with caution, as the analysis reflects long-run associations rather than causal relationships and is subject to limitations related to sample size and proxy variables. Policy implications emphasize strengthening institutional effectiveness, promoting the adoption of renewable energy, and enhancing innovation systems in the context of China’s sustainability goals. Future research may explore alternative measures, structural break analysis, and short-run dynamics to validate these findings further.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44282-026-00555-8first seen 2026-09-05 05:05:51
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