System dynamics model and input–output model in regional ecological economy analysis and international research prospects
DOI:
https://doi.org/10.5564/mjgg.v62i46.4109Keywords:
System dynamics model, Multi-regional input–output model, Regional ecological economy, International cooperation researchAbstract
Regional ecological-economic research focuses on balancing ecological protection, economic growth, and resource utilization to achieve sustainable development. Under global climate change and environmental pressures, its significance is increasingly recognized. The System Dynamics (SD) model and the Multi-Regional Input–Output (MRIO) model serve as key quantitative tools in this research field. SD captures dynamic feedbacks and time-lag effects in complex systems, supporting long-term policy analysis. MRIO traces resource flows and environmental impacts across regions, enabling the assessment of economic–environmental linkages. Based on various scientific research projects undertaken by the research team, we have long utilized SD and MRIO models to conduct ecological-economic studies across diverse thematic areas and spatial scales. This paper systematically reviews the empirical research conducted by the authors' team using the System Dynamics (SD) model and the Multi-Regional Input–Output (MRIO) model across various industrial sectors and spatial scales. It further explores the integration pathways of the two approaches, aiming to enrich the theoretical framework and methodological system in the field of regional ecological-economic research. Looking ahead, the research team will promote the application of SD and MRIO models in cross-border cooperation studies among China, Mongolia, and Russia, providing strong technical support for sustainable development in transboundary regions. This study holds significant theoretical importance and practical value.
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References
[1] J. Liu, et al., “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, vol. 124, p. 107394, 2021. Available: doi: 10.1016/j.ecolind.2021.107394
[2] B. Kiani, and M. A. Pourfakhraei, “A system dynamic model for production and consumption policy in Iran oil and gas sector,” Energy Policy, vol. 38, no. 12, pp. 7764–7774, 2010. Available: doi: 10.1016/j.enpol.2010.08.036
[3] R. Ma, et al., “Distribution of CO2 emissions in China's supply chains: A sub-national MRIO analysis,” Journal of Cleaner Production, vol. 345, p. 130986, 2022. Available: doi: 10.1016/j.enpol.2010.08.036
[4] Q. Liu, et al., “Research on the sustainable development mode of resource-oriented regions on plateaus—A case study for Gannan Tibetan autonomous prefecture,” Sustainable Development, vol. 32, no. 4, pp. 3581–3600, 2024. Available: doi: 10.1002/sd.2862
[5] H. Cheng, et al., “A circular economy system for breaking the development dilemma of ‘ecological fragility–economic poverty’ vicious circle: A CEEPS-SD analysis,” Journal of Cleaner Production, vol. 212, pp. 381–392, 2019. Available: doi: 10.1016/j.jclepro.2018.12.014
[6] F. J. Li, S. C. Dong, and F. Li, “A system dynamics model for analyzing the eco-agriculture system with policy recommendations,” Ecological Modelling, vol. 227, pp. 34–45, 2012. Available: doi: 10.1016/j.ecolmodel.2011.12.005
[7] S. J. Xu, “China's Fishery International Trade Pattern and Pull Effect,” M.S. thesis, Liaoning Normal University, 2023.
[8] H. Cheng, et al., “Multiregional input-output analysis of spatial-temporal evolution driving force for carbon emissions embodied in interprovincial trade and optimization policies: Case study of Northeast Industrial District in China,” Environmental Science & Technology, vol. 52, pp. 346–358, 2018. Available: doi: 10.1021/acs.est.7b04608
[9] M. H. Zhang, et al., “Spatial–temporal evolution and improvement measures of embodied carbon emissions in interprovincial trade for coal energy supply bases: Case study of Anhui, China,” International Journal of Environmental Research and Public Health, vol. 19, no. 24, 2022. Available: doi: 10.3390/ijerph192417033
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Copyright (c) 2025 Fujia Li, Hao Cheng, Aohan Lei, Ruofan Zhao

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