How to Coordinate Regional Economic and Ecological Resilience
Evidence from the Yangtze River Economic Belt
DOI:
https://doi.org/10.25120/jre.5.1.2025.4216Keywords:
regional resilience, economic resilience, ecological resilience, coupling coordination, policy simulationAbstract
This study focuses on the coordination between regional economic and ecological resilience in developing countries, constructing an integrated research framework of "resilience assessment–coupling coordination measurement–influencing factor ranking–policy simulation." Using the Yangtze River Economic Belt as a typical case, this research conducts a multidimensional quantitative evaluation of economic and ecological resilience within the region. The findings reveal a common contradiction: regions with weak economic foundations generally exhibit economic resilience lagging behind ecological resilience. By employing a coupling coordination model, this study quantitatively characterizes the synergy between economic and ecological systems and identifies key driving factors for regional coordination through grey relational analysis. Furthermore, system dynamics-based policy simulation results indicate that precise and targeted economic policies significantly enhance regional coupling coordination in the long term, providing theoretical evidence to address the "pollution first, treatment later" dilemma. These findings offer a novel theoretical perspective and practical pathway for developing countries to establish green and sustainable regional development models.
References
Cheng, Y., Wang, J., & Shu, K. (2023). The coupling and coordination assessment of food-water-energy systems in china based on sustainable development goals. Sustainable Production and Consumption, 35, 338-348. https:/doi.org/https://doi.org/10.1016/j.spc.2022.11.011
Cui, D., Chen, X., Xue, Y., Li, R., & Zeng, W. (2019). An integrated approach to investigate the relationship of coupling coordination between social economy and water environment on urban scale-a case study of kunming. Journal of Environmental Management, 234, 189-199. https://doi.org/10.1016/j.jenvman.2018.12.091
Dakos, V., & Kéfi, S. (2022). Ecological resilience: what to measure and how. Environmental Research Letters, 17(4), 43003. https:/doi.org/10.1088/1748-9326/ac5767
Desouza, K. C., & Flanery, T. H. (2013). Designing, planning, and managing resilient cities: a conceptual framework. Cities, 35, 89-99. https:/doi.org/https://doi.org/10.1016/j.cities.2013.06.003
Feng, Y., Fanghui, Y., & Li, C. (2019). Improved entropy weighting model in water quality evaluation. Water Resources Management, 33(6), 2049-2056. https:/doi.org/10.1007/s11269-019-02227-6
Gu, W., Lin, J., & Xu, C. (2016).The research on the coupling of regional agricultural water and land resources system based on the system dynamics. In 2016 International Conference on Management Science and Engineering (ICMSE) (pp. 929-939)IEEE. https:/doi: 10.1109/icmse.2016.8365537
Han, S., Wang, B., Ao, Y., Bahmani, H., & Chai, B. (2023). The coupling and coordination degree of urban resilience system: a case study of the chengdu–chongqing urban agglomeration. Environmental Impact Assessment Review, 101, 107145. https:/doi.org/https://doi.org/10.1016/j.eiar.2023.107145
He, J., Wang, S., Liu, Y., Ma, H., & Liu, Q. (2017). Examining the relationship between urbanization and the eco-environment using a coupling analysis: case study of shanghai, china. Ecological Indicators, 77, 185-193. https:/doi.org/https://doi.org/10.1016/j.ecolind.2017.01.017
Jia, B., Zhou, J., Zhang, Y., Tian, M., He, Z., & Ding, X. (2021). System dynamics model for the coevolution of coupled water supply–power generation–environment systems: upper yangtze river basin, china. Journal of Hydrology, 593, 125892. https:/doi.org/https://doi.org/10.1016/j.jhydrol.2020.125892
Jiang, H., Simonovic, S. P., Yu, Z., & Wang, W. (2020). A system dynamics simulation approach for environmentally friendly operation of a reservoir system. Journal of Hydrology, 587, 124971. https:/doi.org/https://doi.org/10.1016/j.jhydrol.2020.124971
Kou, C., Meng, D., & Yang, X. (2024). Construction and application of economic resilience evaluation model for megacities. Plos One, 19(5), e301840. https://doi.org/10.1371/journal.pone.0301840
Liu, J., Tian, Y., Huang, K., & Yi, T. (2021). Spatial-temporal differentiation of the coupling coordinated development of regional energy-economy-ecology system: a case study of the yangtze river economic belt. Ecological Indicators, 124, 107394. https:/doi.org/https://doi.org/10.1016/j.ecolind.2021.107394
Liu, L., Lei, Y., Zhuang, M., & Ding, S. (2022). The impact of climate change on urban resilience in the beijing-tianjin-hebei region. Science of the Total Environment, 827, 154157. https:/doi.org/https://doi.org/10.1016/j.scitotenv.2022.154157
Lu, H., Zhang, C., Jiao, L., Wei, Y., & Zhang, Y. (2022). Analysis on the spatial-temporal evolution of urban agglomeration resilience: a case study in chengdu-chongqing urban agglomeration, china. International Journal of Disaster Risk Reduction, 79, 103167. https:/doi.org/https://doi.org/10.1016/j.ijdrr.2022.103167
Long, X., Wu, S., Wang, J., Wu, P., & Wang, Z. (2022). Urban water environment carrying capacity based on vposr-coefficient of variation-grey correlation model: a case of beijing, china. Ecological Indicators, 138, 108863. https:/doi.org/https://doi.org/10.1016/j.ecolind.2022.108863
Martin, R. (2012). Regional economic resilience, hysteresis and recessionary shocks. Journal of Economic Geography, 12(1), 1-32. https:/doi.org/10.1093/jeg/lbr019
Mu, X., Fang, C., & Yang, Z. (2022). Spatio-temporal evolution and dynamic simulation of the urban resilience of beijing-tianjin-hebei urban agglomeration. Journal of Geographical Sciences, 32(9), 1766-1790. https:/doi.org/10.1007/s11442-022-2022-5
Moosavi, J., & Hosseini, S. (2021). Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the covid-19 pandemic context. Computers & Industrial Engineering, 160, 107593. https://doi.org/10.1016/j.cie.2021.107593
Nathwani, J., Lu, X., Wu, C., Fu, G., & Qin, X. (2019). Quantifying security and resilience of chinese coastal urban ecosystems. The Science of the Total Environment, 672, 51-60. https://doi.org/10.1016/j.scitotenv.2019.03.322
Peng, L., Wu, H., & Li, Z. (2023). Spatial–temporal evolutions of ecological environment quality and ecological resilience pattern in the middle and lower reaches of the yangtze river economic belt. Remote Sensing, 15(2), 430. https://doi.org/10.3390/rs15020430
Pawar, B., Park, S., Hu, P., & Wang, Q. (2021). Applications of resilience engineering principles in different fields with a focus on industrial systems: a literature review. Journal of Loss Prevention in the Process Industries, 69, 104366. https:/doi.org/https://doi.org/10.1016/j.jlp.2020.104366
Qiu, Q., Dai, L., Van Rijswick, H. F. M. W., & Tu, G. (2021). Improving the water quality monitoring system in the yangtze river basin—legal suggestions to the implementation of the yangtze river protection law. Laws, 10, 25. https://doi.org/10.3390/laws10020025
Quinlan, A. E., Berbés Blázquez, M., Haider, L. J., & Peterson, G. D. (2016). Measuring and assessing resilience: broadening understanding through multiple disciplinary perspectives. Journal of Applied Ecology, 53(3), 677-687. https://doi.org/10.1111/1365-2664.12550
Rao, M., Musso, J. A., & Young, M. M. (2023). Resist, recover, renew: fiscal resilience as a strategic response to economic uncertainty. The American Review of Public Administration, 53(7-8), 296-315. https:/doi.org/10.1177/02750740231186424
Scown, M. W., Craig, R. K., Allen, C. R., Gunderson, L., Angeler, D. G., García, J. H., & Garmestani, A. S. (2023). Towards a global sustainable development agenda built on social–ecological resilience. Global Sustainability, 6(8), 1-14. https://doi.org/10.1017/sus.2023.8
Shi, C., Wu, Y., & Chen, M. (2022). Study on the long-term mechanism of "ten-year fishing ban" in the middle and lower reaches of the yangtze river from the perspective of intergenerational equity. Frontiers in Business, Economics and Management, 7(1), 37-41. https://doi.org/10.54097/fbem.v7i1.3692
Stockholm Resilience Centre. (2023). Planetary boundaries. Retrieved from https://www.stockholmresilience.org/research/planetary-boundaries.html. Accessed May 5,2023.
Sun, X., Shao, H., Liang, S., Zhou, Y., Dai, X., Liu, M., Tao, R., Guo, Z., & Xin, Q. (2024). Tracking sustainable development in mining towns: a novel framework integrating socioeconomic and eco-environmental perspectives through coupling coordination degree. Environmental Impact Assessment Review, 109, 107641. https:/doi.org/https://doi.org/10.1016/j.eiar.2024.107641
Sutton, J., & Arku, G. (2022). Regional economic resilience: towards a system approach. Regional Studies, Regional Science, 9(1), 497-512. https:/doi.org/10.1080/21681376.2022.2092418
Wang, G., & Feng, Y. (2023). Assessment and prediction of net carbon emission from fishery in liaoning province based on eco-economic system simulation. Journal of Cleaner Production, 419, 138080. https:/doi.org/https://doi.org/10.1016/j.jclepro.2023.138080
Wang, S., Kong, W., Ren, L., Zhi, D., & Dai, B. (2021). Research on misuses and modification of coupling coordination degree model in China. Journal of Natural Resources, 36(3), 793-810. https://doi.org/10.31497/zrzyxb.20210319
World Bank (2022).Global economic prospects, june 2022: A bumpy road ahead.
World Meteorological Organization (2023).State of the global climate 2023.
Xiao, Q., Shan, M., Gao, M., Xiao, X., & Guo, H. (2021). Evaluation of the coordination between china’s technology and economy using a grey multivariate coupling model. Technological and Economic Development of Economy, 27(1), 24-44. https://doi.org/10.3846/tede.2020.13742
Xing, L., Xue, M., & Hu, M. (2019). Dynamic simulation and assessment of the coupling coordination degree of the economy–resource–environment system: case of wuhan city in china. Journal of Environmental Management, 230, 474-487. https://doi.org/10.1016/j.jenvman.2018.09.065
Xinhua. (2023). Ten perspectives to understand chinese modernization. Retrieved from:https://english.www.gov.cn/news/topnews/202303/05/content_WS64044922c6d0a757729e7bdb.html. Accessed March 5, 2023.
Xu, L., & Chen, S. S. (2023). Coupling coordination degree between social-economic development and water environment: a case study of taihu lake basin, china. Ecological Indicators, 148, 110118. https:/doi.org/https://doi.org/10.1016/j.ecolind.2023.110118
Xu, S., He, W., Shen, J., Degefu, D. M., Yuan, L., & Kong, Y. (2019). Coupling and coordination degrees of the core water–energy–food nexus in china. International Journal of Environmental Research and Public Health, 16(9), 1648. https://doi.org/10.3390/ijerph16091648
Xu, X., Wang, M., Wang, M., Yang, Y., & Wang, Y. (2022). The coupling coordination degree of economic, social and ecological resilience of urban agglomerations in china. International Journal of Environmental Research and Public Health, 20(1), 413. https://doi.org/10.3390/ijerph20010413
Yang, M., Jiao, M., & Zhang, J. (2022).Coupling coordination and interactive response analysis of ecological environment and urban resilience in the yangtze river economic belt. In International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph191911988
Zhang, J., Liu, L., Xie, Y., Han, D., Zhang, Y., Li, Z., & Guo, H. (2023). Revealing the impact of an energy–water–carbon nexus–based joint tax management policy on the environ-economic system. Applied Energy, 331, 120397. https:/doi.org/https://doi.org/10.1016/j.apenergy.2022.120397
Zhang, Q., & Li, J. (2023). Building carbon peak scenario prediction in china using system dynamics model. Environmental Science and Pollution Research, 30(42), 96019-96039. https:/doi.org/10.1007/s11356-023-29168-3
Zhang, Y., Yang, Y., Chen, Z., & Zhang, S. (2020). Multi-criteria assessment of the resilience of ecological function areas in china with a focus on ecological restoration. Ecological Indicators, 119, 106862. https:/doi.org/https://doi.org/10.1016/j.ecolind.2020.106862
Zhu, C., Fang, C., & Zhang, L. (2023). Analysis of the coupling coordinated development of the population–water–ecology–economy system in urban agglomerations and obstacle factors discrimination: a case study of the tianshan north slope urban agglomeration, china. Sustainable Cities and Society, 90, 104359. https:/doi.org/https://doi.org/10.1016/j.scs.2022.1
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