Author(s)

Wanjun Xie ¹, Junhui Zhou ²

Affiliation(s)

¹ College of Architectural Engineering, Science and Technology College of Hubei University of Arts and Science, Xiangyang, 441025, Hubei, China
² Haibo Heavy Engineering Science and Technology Company Limited , Wuhan, 430000, Hubei, China

Corresponding Author

Junhui Zhou

ABSTRACT

Global warming is a critical environmental challenge threatening human survival and China's sustainable economic development. The scientific consensus attributes it partly to rising carbon emissions from human activities, a problem exacerbated by its own consequences. The Kyoto Protocol established a global emissions reduction framework, and many industrialized nations have taken action. As a major emitter, China faces growing international pressure to cut emissions, making urban carbon control a key research focus—though it is more accurately a topic in environmental and policy studies, not the medical community. This paper conducts experiments on urban carbon emissions and economic security using a BP artificial neural network. Results show that after optimization, the pressure system's carbon emission economic security index steadily declined from 0.667 in 2013 to 0.204 in 2024, offering a clear direction for improving urban carbon emission management and economic security.

KEYWORDS

Neural Network; Urban Carbon Emissions; Carbon Emission Control; Economic Security

CITE THIS PAPER

Wanjun Xie, Junhui Zhou, Urban Carbon Emission Control and Economic Security Evaluation Based on BP Artificial Neural Network. Information Systems and Economics (2025) Vol. 6: 158-168. DOI: http://dx.doi.org/10.23977/infse.2025.060220.

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