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Evaluation and Comparative Study of Provincial Resilience in China

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1002))

Abstract

With the growth of population, urbanization, industrialization and other social processes, China has entered a period of high incidence of all kinds of emergencies. The problem of hazard prevention and mitigation has become increasingly prominent. Thus more and more attention has been paid to the concept of resilience. In this paper, we evaluated the provincial resilience of China with the entropy method. The evaluation was based on the BRIC model proposed by Carter, which consists of five aspects: resilience of the economy, the resilience of society, resilience of environment, resilience of infrastructure, and resilience of organization. The data of the 31 provinces originated from the National Statistical Yearbook, China Environmental Statistical Yearbook, and China Energy Yearbook et al. The results of evaluation and comparison showed that the general level of provincial resilience is quite low. Meanwhile, the differences among provinces are relatively large. The resilience has a significant correlation with the economic development level of provinces, infrastructure construction, and ecological environment.

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Acknowledgements

This work was financially supported by the Sichuan Social Science Planning Project, “Research on the Theory and Method of Statistical Measurement of Provincial Resilience in China” (SC18TJ017), Chengdu Social Science Planning Project, “Comparative Study on the Sustainable Development of Chengdu and World Cities Based on Resilience Theory” (2018A12), and the NSFC project “Study on Risk Assessment and Resilience Construction Strategy of Urban Lifeline System in Xiong’ an New District”, (71741038).

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Correspondence to Chao Huang .

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Huang, C., Zhong, J., Wu, J., Fan, J. (2020). Evaluation and Comparative Study of Provincial Resilience in China. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1002. Springer, Cham. https://doi.org/10.1007/978-3-030-21255-1_13

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