Coupling coordination analysis with data-driven technology for disaster–economy–ecology system: an empirical study in China

Lu Gan, Yuanyuan Wang, Yusheng Wang (), Benjamin Lev, Wenjing Shen and Wen Jiang ()
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Lu Gan: Sichuan Agricultural University
Yuanyuan Wang: Sichuan Agricultural University
Yusheng Wang: Nanjing University of Information Science & Technology
Benjamin Lev: Drexel University
Wenjing Shen: Drexel University
Wen Jiang: Sichuan Agricultural University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 107, issue 3, No 5, 2123-2153

Abstract: Abstract Nowadays, frequent meteorological disasters that cause huge economic losses and ecological damages have swept the world. Thus, research investigates how to overcome the adverse impacts of storm debris flow by exploring sustainable interaction among disaster, economy, and ecology. To achieve this goal, the study analyzes coupling coordination for disaster–economy–ecology system through data-driven technology named Scrapy engine. To be specific, a comprehensive index system of disaster–economy–ecology is established. Accordingly, a projection pursuit method is used to reduce the dimensions of data involved in the system. Then, an integrated weighting method of interval-valued hesitant fuzzy entropy and maximum deviation of weight is utilized. For further analysis of the internal laws in disaster–economy–ecology system, a coupling coordination model based on order preference by similarity to ideal solution is proposed. Moreover, a back-propagation artificial neural network is designed to identify the key influencing factors in disaster–economy–ecology system. Finally, an empirical study is carried out using the panel data related to storm debris flow of 31 provincial areas in China within 11 years to illustrate the study. The study results show that the overall sustainable development of disaster, economy, and ecology in China does not achieve an ideal status. Various measures based on local conditions are required to improve the imbalanced development of disaster–economy–ecology system in different areas of China. At last, strategic suggestions for sustainable development of disaster–economy–ecology system are provided.

Keywords: Sustainable development; Coupling coordination degree; Data-driven technology; Multi-attribute decision; Disaster–economy–ecology system; Storm debris flow (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11069-021-04787-6

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