Title: Macro monitoring and early warning evaluation of environmental protection of industrial economy under the target of carbon neutrality

Authors: Ali Chen; Peifeng Cai; Jing Wang

Addresses: Business School, Hunan University of Science and Technology, Xiangtan – 411201, HuNan, China ' Guanghua School of Management, Peking University, Beijing – 100871, China ' School of Economics, Zhongnan University of Economics and Law, Wuhan – 430073, Hubei, China

Abstract: The article proposes the digitised carbon neutrality blockchain technology (DCN-BT) system, which combines blockchain and AI-driven sensor data to monitor industrial emissions in real-time. DCN-BT makes data more transparent, improves early warning accuracy to 97.43%, reduces industrial carbon intensity by 50%, and achieves 5% annual energy saving. DCN-BT creates a scalable, data-driven solution to balance economic growth with environmental sustainability by fusing multi-sensor data with blockchain validation. This proposed system helps governments and industries achieve carbon neutrality utilising advanced digital technologies that ensure efficient carbon tracking, predictive analytics, and better decision-making.

Keywords: carbon neutrality; carbon emission; blockchain technology; macro-monitoring.

DOI: 10.1504/IJGW.2025.146658

International Journal of Global Warming, 2025 Vol.36 No.3, pp.272 - 288

Received: 30 Sep 2024
Accepted: 12 Feb 2025
Published online: 11 Jun 2025 *

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