The green GDP accounting system based on the BP neural network: an environmental pollution perspective

• Published in: Frontiers in environmental science Vol. 11
• Main Authors: Zhu, Yinglun, Xu, Yingying, Luo, Yuhui
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 10.11.2023; Frontiers Media S.A
• Subjects: Accounting systems; Adjustment; Agricultural production; Air pollution; Back propagation networks; BP neural network; carbon emission; Climate change; climate changes; Climate prediction; Consumption; Cost accounting; Economic activity; Economic development; Economic growth; Ecosystems; Empirical analysis; Environmental economics; environmental effect; Environmental effects; Environmental protection; Environmental quality; Environmental science; Expenditures; Extreme weather; GDP; GDP accounting system; Global climate; Gross Domestic Product; Methods; Natural resources; Neural networks; Pollution; Resource depletion; Sustainable development; Transition economies; Water pollution; United States > US; China

Introduction: The green GDP accounting system has become the focus of sustainable development, but a comprehensive accounting of environmental pollution cost and resource depletion cost has not yet been formed. Methods: This study measures environmental pollution cost and resource loss cost, and est...