Can the Low-Altitude Economy Drive Synergistic Development of Carbon Reduction, Pollution Mitigation, Green Transition, and Economic Growth? Empirical Evidence from China
低空経済は炭素削減、汚染緩和、グリーン転換、経済成長の相乗発展を促進できるか？中国からの実証エビデンス (AI 翻訳)
Xinyu Wang, Xuhao Hu, Xiaobo Tao
🤖 gxceed AI 要約
日本語
低空経済（LAE）の拡大が炭素削減・汚染緩和・グリーン転換・経済成長（CPGE）の相乗発展を促進するかを中国30省のパネルデータで検証。グリーン技術革新（GT）の媒介効果と人工知能（AI）の調整・閾値効果を分析。結果、LAEはCPGEと正の関連があり、AIがその効果を強化し、AIの水準が臨界値を超えると効果が顕著に高まることを発見。地域による不均一性も確認。
English
This study examines whether the low-altitude economy (LAE) promotes synergistic development of carbon reduction, pollution mitigation, green transition, and economic growth (CPGE) in China. Using panel data from 30 provinces (2012-2023), it finds a positive association between LAE and CPGE, with green technological innovation (GT) mediating negatively. Artificial intelligence (AI) moderates and thresholds the effect, significantly strengthening the relationship when AI development surpasses a critical level. Regional heterogeneity is observed.
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
本論文は中国の低空経済とグリーン転換の関係を実証したもので、日本のGX政策（例：空飛ぶクルマやドローン等の新産業と環境目標の整合）に示唆を与える。ただしデータは中国であり、日本への直接適用は限定的。
In the global GX context
This paper provides empirical evidence on how an emerging industry (low-altitude economy) can drive green transition and economic growth, mediated by AI. Globally, it highlights the importance of digital intelligence in amplifying environmental benefits of new industries, relevant for ISSB/TCFD-aligned disclosure on innovation and sustainability.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the role of AI as a threshold condition for green benefits of emerging industries.
🏢実務担当者:Could inform corporate strategy on aligning AI investment with sustainability goals in new business areas.
🏛政策担当者:Highlights need for AI infrastructure to enable green development from new industries.
📄 Abstract（原文）
As an emerging technology-intensive industry, the low-altitude economy (hereafter LAE) has attracted growing attention for its potential contribution to sustainable development. However, little is known about whether its expansion can simultaneously promote environmental improvement and economic growth. Using panel data from 30 Chinese provinces from 2012 to 2023, this study examines the relationship between the LAE and the synergistic development of carbon reduction, pollution mitigation, green transition, and economic growth (hereafter CPGE). Green technological innovation (hereafter GT) is incorporated as a mediating variable, while artificial intelligence (hereafter AI) is introduced as both a moderating and a threshold variable to explore the underlying mechanisms and nonlinear effects. The results show that the LAE is significantly and positively associated with CPGE. GT exhibits a significant negative mediating effect, suggesting that the benefits of green innovation may not yet have been fully translated into coordinated green development outcomes during the sample period. AI not only strengthens the positive association between the LAE and CPGE but also exhibits a significant threshold effect. The contribution of the LAE becomes substantially stronger once AI development surpasses a critical level, highlighting the important role of digital intelligence in amplifying the environmental benefits of emerging industries. In addition, the impact of the LAE displays pronounced regional heterogeneity, with stronger effects observed in non-resource-based and non-central regions. This study contributes to the literature by revealing that the environmental effects of the LAE depend not only on innovation channels but also on the level of digital intelligence development. AI serves as a critical enabling condition for translating the growth potential of the LAE into coordinated green development. By revealing the mediating role of GT and the moderating and threshold effects of AI, this study provides new evidence on how emerging industries contribute to sustainable development. The findings underscore the importance of aligning LAE development with AI-driven digital transformation to advance sustainable regional development.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136802first seen 2026-07-08 05:11:07
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