Digital Transformation and Sustainable Land Systems: The Non-Linear Impact of Information Infrastructure on Air Quality and Carbon Mitigation
デジタルトランスフォーメーションと持続可能な土地利用システム：情報インフラが大気質と炭素削減に与える非線形的影響 (AI 翻訳)
Hongyan Duan, Weidong Li
🤖 gxceed AI 要約
日本語
本研究は、情報インフラが大気質と炭素削減に与える非線形的影響を、PSTRモデルと空間計量モデルを用いて分析。伝統的インフラと新型インフラの効果を比較し、新型インフラが長期的な環境改善に優れる一方、空間的波及効果は地域間データサイロにより限定的であることを発見した。バーティク操作変数を用いた内生性対策も実施。
English
This study uses PSTR and spatial Durbin models to analyze the nonlinear impact of information infrastructure on air quality and carbon mitigation in Chinese provinces. It finds that new-type infrastructure outperforms traditional infrastructure in long-term environmental governance, but spatial spillovers are limited due to regional data silos. Endogeneity is addressed using a Bartik instrumental variable.
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
本論文は中国のデータを用いているが、日本でもデジタルインフラのGXへの寄与が注目されており、情報インフラ整備による環境効果の非線形性や空間的制約に関する示唆は、日本のデジタル田園都市構想やGX政策の設計に参考となる。
In the global GX context
This paper provides empirical evidence on how digital infrastructure can support decarbonization, a key theme in global GX strategies. Its findings on the limited cross-regional spillover due to data silos highlight the need for integrated data governance, relevant for countries implementing digital green transitions, such as the EU's Data Strategy.
👥 読者別の含意
🔬研究者:Useful for scholars studying the intersection of digital economy and environmental outcomes, offering novel nonlinear and spatial insights.
🏢実務担当者:Corporate sustainability teams can leverage the distinction between traditional and new infrastructure for green investment decisions.
🏛政策担当者:Policymakers should consider breaking regional data barriers to enhance the environmental spillover effects of digital infrastructure.
📄 Abstract（原文）
As the digital economy advances, information infrastructure has become a core engine for driving green economic transition and optimizing sustainable land systems. However, its heterogeneous governance effects on different types of pollutants and spatial spillover mechanisms remain insufficiently explored. This study draws on the theoretical framework of the dynamic game between scale and technique effects. It utilizes the PSTR model and the SDM to systematically investigate the nonlinear and spatial synergistic impacts of information infrastructure. The analysis covers aggregate information infrastructure and its structural subdivisions, including traditional and new information infrastructure. To ensure empirical rigor, this study introduces a Bartik instrumental variable constructed via the shift share approach and thoroughly eliminates endogeneity interference through the Control Function Approach and a core variable lagging strategy. The empirical research reveals three core findings. Firstly, after crossing the initial extensive scale effect dominated by physical construction, the profound technique effect dominates long-term environmental governance. Secondly, new-type information infrastructure demonstrates a superior capacity for long-term environmental governance and land use efficiency compared to traditional telecommunications. Finally, spatial spillover analysis indicates that although PM2.5 exhibits strong cross-regional physical contagion, the current environmental dividends of information infrastructure remain highly localized due to regional administrative data silos, lacking significant cross-regional synergistic spillover effects. This study provides a solid empirical basis for formulating differentiated digital spatial governance frameworks, breaking interprovincial data factor barriers, and preventing the physical expansion trap of traditional infrastructure.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15040687first seen 2026-05-05 19:27:23
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