Unveiling geographical layouts and synergies of large-scale wind and solar power deployment in China
中国における大規模風力発電と太陽光発電の地理的配置と相乗効果の解明 (AI 翻訳)
Hui Li, AO Qing, Ze He, Mengyao Han
🤖 gxceed AI 要約
日本語
本論文は、中国における大規模風力・太陽光発電の地理的配置とそれらの相乗効果を空間的自己相関分析と空間計量経済モデルを用いて明らかにした。2014年から2023年にかけて両者の設備容量は大幅に増加し、空間分布は高い不均質性を示した。風力は北部・東部、太陽光は東部・北西部に集中し、地域間の相乗効果が確認された。これらの知見は、中国のカーボンニュートラル目標達成と持続可能な開発目標（SDGs）の実現に向けた政策立案に貢献する。
English
This study uses spatial autocorrelation and spatial econometric modeling to analyze the spatiotemporal characteristics and synergies of large-scale wind and solar power deployment in China from 2014 to 2023. Results show significant increases in installed capacity with spatial heterogeneity: wind concentrated in North and East China, solar in East and Northwest. Regional synergies and spatial spillover effects are identified, providing policy insights for China's carbon neutrality and global green transition.
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
中国の大規模再生可能エネルギー導入の地理的パターンと相乗効果を分析した本論文は、日本における再エネ導入計画や地域間連携の検討に参考となる。特に、空間計量経済モデルの適用は、日本の都道府県レベルでの風力・太陽光の最適配置を考える際に有用である。
In the global GX context
This paper provides empirical evidence on the spatial synergies of wind and solar deployment, offering valuable insights for global renewable energy planning and policy. Its spatial econometric approach can be applied to other regions, supporting the global green transition and low-carbon economy.
👥 読者別の含意
🔬研究者:Spatial econometrics and renewable energy scholars can learn from the methodology and findings on regional synergies and spillover effects.
🏢実務担当者:Energy planners can use the spatial insights to optimize renewable energy deployment and grid integration.
🏛政策担当者:Policymakers in countries with large renewable targets can adopt similar spatial analysis to inform national energy strategies.
📄 Abstract（原文）
The spatiotemporal dynamics and synergistic relationship between wind and solar power deployment are crucial for China’s energy transition and carbon neutrality goals. Using spatial autocorrelation analysis and spatial econometrics modeling, this study examines the spatiotemporal characteristics of wind and solar power in China, investigates their synergistic relationship, and identifies the primary factors driving their deployment. The results reveal that the installed capacity of both wind and solar power in China increased substantially between 2014 and 2023, with spatial distributions exhibiting marked heterogeneity. Wind power was concentrated in North and East China, while solar power installations were primarily located in East and Northwest China. Compared with 2014, the distribution of wind and solar power installations became more dispersed by 2023, with spatial clustering weakening. At the regional level, solar installations, electricity consumption, and thermal power generation have significant positive effects on wind power installations, whereas resident population size and financial health status have negative effects. Furthermore, variables from neighboring provinces demonstrate notable spatial spillover effects, with wind and solar power deployment exhibiting strong synergies both within and across regions. This study provides comprehensive policy insights for realizing the Sustainable Development Goals and China’s dual objectives of carbon peaking and carbon neutrality, while supporting the global green transition and the advancement of a low-carbon economy.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1177/29768632261424711first seen 2026-05-15 17:30:26
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