共有経済の相乗効果：中国のエネルギー転換と持続可能な発展におけるその役割
Synergies of the Sharing Economy: Its Role in China's Energy Transition and Sustainable Development (原題)
Teng Qin, Xu Guo, Junbing Yao, Zhi Zhen Zhou
🤖 gxceed AI 要約
日本語
本論文は、2005年から2020年までの中国のパネルデータを用いて、共有経済（SECO）がGDPと原子力エネルギー消費（NEC）に与える影響をQARDLモデルで分析。SECOはGDPに正の影響を与えるが、NECへの影響は高エネルギー需要時のみ顕著であり、変数間の双方向の予測関係が示唆される。ただし、代理変数や小標本のため因果関係ではなく関連性として解釈すべき。
English
This paper analyzes the impact of the sharing economy (SECO) on GDP and nuclear energy consumption (NEC) in China from 2005 to 2020 using a QARDL model. SECO positively affects GDP, but its effect on NEC is significant only under high energy demand, with bidirectional predictive relationships among variables. Results are indicative associations, not causal, due to proxy measures and small sample size.
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
中国の共有経済とエネルギー転換の関連を分析した研究は、日本のシェアリングエコノミー政策やエネルギー需給調整に示唆を与える。ただし、日本固有の文脈（SSBJや有報）への直接的な関連は薄く、一般経済学の知見として参考になる。
In the global GX context
This study contributes to global understanding of how the sharing economy can influence energy transition, particularly in emerging economies. It offers empirical evidence on the conditional effects of sharing economy on energy consumption, relevant for policymakers designing sustainable development strategies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the heterogeneous effects of sharing economy on energy consumption, useful for further research on energy transition drivers.
🏢実務担当者:May inform corporate strategies on sharing economy models that could reduce energy demand, though direct applicability is limited.
🏛政策担当者:Highlights the need for context-specific policies to leverage sharing economy for energy transition, especially under high energy demand conditions.
📄 Abstract（原文）
The sharing economy (SECO) has become a disruptive economic model with implications for both economic performance and energy systems. This paper analyzes the relationships among SECO, GDP per capita, and nuclear energy consumption (NEC) in China from 2005 to 2020. The analysis addresses heterogeneous associations among various points of the conditional distribution by using a quantile autoregressive distributed lag (QARDL) framework. The findings show that SECO correlates positively with GDP per capita across most quantiles, suggesting that it contributes to improving economic activity by better resource use and the adoption of digital platforms. On the contrary, the dependency between SECO and NEC is observed to be strong only at the higher quantiles, indicating that its impact on energy dynamics is more significant under conditions of high energy demand. The results also indicate a high degree of heterogeneity and two-way predictive relationships among variables, suggesting the presence of dynamic feedback mechanisms rather than unidirectional influence. The results should be considered indicative associations rather than causal relationships, given the use of proxy measures, the small sample size, and the observational design. Overall, the research provides fine-tuning evidence on the context-specificity of the sharing economy in shaping economic and energy-related dynamics in China's changing development environment.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3791/71086first seen 2026-08-22 05:08:44
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