The Green Ripple Effect: How Digital Transformation Reduces Carbon Emissions Across Industrial Chains

保存先:
書誌詳細
出版年:Discrete Dynamics in Nature and Society vol. 2025 (2025)
第一著者: Guo, Lin
その他の著者: Li, Shanna, Liu, Ying, Zhang, Chunyuan, Sang, Bin
出版事項:
John Wiley & Sons, Inc.
主題:
オンライン・アクセス:Citation/Abstract
Full Text
Full Text - PDF
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

MARC

LEADER 00000nab a2200000uu 4500
001 3183251387
003 UK-CbPIL
022 |a 1026-0226 
022 |a 1607-887X 
024 7 |a 10.1155/ddns/9159803  |2 doi 
035 |a 3183251387 
045 2 |b d20250101  |b d20251231 
084 |a 130315  |2 nlm 
100 1 |a Guo, Lin  |u School of Management Shandong Second Medical University Weifang 261053 China 
245 1 |a The Green Ripple Effect: How Digital Transformation Reduces Carbon Emissions Across Industrial Chains 
260 |b John Wiley & Sons, Inc.  |c 2025 
513 |a Journal Article 
520 3 |a This study examines the impact of digital transformation in focal enterprises on the carbon emission intensity of upstream and downstream firms within industrial chains, particularly in the context of global green and low-carbon development. The findings reveal that digital transformation significantly reduces carbon emission intensity by 9.97% in upstream enterprises and 11.9% in downstream enterprises, highlighting the substantial spillover effects across the industrial chain. These reductions are driven by three mechanisms: innovation integration, information spillover, and resource allocation. The study also finds that these spillover effects are more pronounced in regions with lower economic growth targets and stricter environmental regulations, particularly in central-eastern China. Additionally, the research identifies significant industry heterogeneity, with varying spillover effects across different industrial sectors. This research offers valuable policy insights for leveraging digital transformation to promote green and low-carbon industrial transformations, especially in developing countries. 
653 |a Innovations 
653 |a Carbon content 
653 |a Collaboration 
653 |a Digital transformation 
653 |a Costs 
653 |a Hypotheses 
653 |a Emissions 
653 |a Clean technology 
653 |a Spillover effect 
653 |a Carbon 
653 |a Optimization 
653 |a Resource allocation 
653 |a Supply chains 
653 |a Digitization 
653 |a Automation 
653 |a Economic growth 
653 |a Energy consumption 
653 |a Economic development 
653 |a Emissions control 
653 |a Suppliers 
653 |a Digital technology 
653 |a Heterogeneity 
653 |a Developing countries--LDCs 
653 |a Efficiency 
653 |a Environmental regulations 
653 |a Upstream 
653 |a Economic 
700 1 |a Li, Shanna  |u School of Management Shandong Second Medical University Weifang 261053 China 
700 1 |a Liu, Ying  |u School of Humanities and Management Zhejiang Chinese Medical University Hangzhou 311402 China 
700 1 |a Zhang, Chunyuan  |u School of Economics Zhejiang University Hangzhou 310058 China 
700 1 |a Sang, Bin  |u School of Accounting Zhejiang Financial College Hangzhou 310018 China 
773 0 |t Discrete Dynamics in Nature and Society  |g vol. 2025 (2025) 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3183251387/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3183251387/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3183251387/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch