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Effect and Mechanism of Economic Circulation in the Middle and Lower Reaches of the Yellow River: Multiregional Input–Output Model and Industrial Complex Network Approaches

Author

Listed:
  • Chong Yin

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

  • Yingxin Cui

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

  • Yue Liu

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

Abstract

China has implemented the Yellow River strategy, and the middle and lower reaches of the Yellow River (MLYR) play an important role in promoting the sustainable economic growth of China. However, the economic circulation of the MLYR is constricted by the imbalance and heterogeneity in the economy in the regions, and it is necessary to explore how economic circulation and sustainable development in the MLYR can be improved. In this study, based on the multiregional input–output tables for 2012 and 2017, we developed a MLYR multiregional input–output model; applied indicators, such as intraregional multiplier, interregional feedback, and spillover, to measure economic circulation effects; further developed the industrial circular network; and designed indicators of cycle length distribution, average cycle correlation, influence of the industrial cycle, and interactions of the weighted cycle to analyze the industrial circulation mechanism in the MLYR. We also analyzed the spatial and industrial structures of the economic circulation flows. The results show that economic linkages have been strengthened to a certain extent, but the imbalance in economic circulation is still prominent, and the imbalanced circular effects are determined by the characteristics of the cycles in the MLYR. The empirical findings contribute to several aspects of the theory of imbalanced economic development and provide an important perspective on, and feasible path for, achieving economic development. We suggest that policymakers should build a multi-dimensional innovation cooperation system, improve the digital connectivity of regions, and promote the green and low-carbon development of industry and the application of new energy technologies to achieve balanced, common, and sustainable economic development in the MLYR.

Suggested Citation

  • Chong Yin & Yingxin Cui & Yue Liu, 2022. "Effect and Mechanism of Economic Circulation in the Middle and Lower Reaches of the Yellow River: Multiregional Input–Output Model and Industrial Complex Network Approaches," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12922-:d:938269
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    References listed on IDEAS

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    1. Erik Dietzenbacher, 2002. "Interregional Multipliers: Looking Backward, Looking Forward," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 125-136.
    2. Leontief, Wassily, 1991. "The economy as a circular flow," Structural Change and Economic Dynamics, Elsevier, vol. 2(1), pages 181-212, June.
    3. Round, Jeffrey I, 1985. "Decomposing Multipliers for Economic Systems Involving Regional and World Trade," Economic Journal, Royal Economic Society, vol. 95(378), pages 383-399, June.
    4. Wang, Tao & Xiao, Shiying & Yan, Jun & Zhang, Panpan, 2021. "Regional and sectoral structures of the Chinese economy: A network perspective from multi-regional input–output tables," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    5. Sharifkhani, Ali & Simutin, Mikhail, 2021. "Feedback loops in industry trade networks and the term structure of momentum profits," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1171-1187.
    6. Ricardo Gazel & Michael Sonis & Geoffrey J. D. Hewings, 1995. "The structure of multi-regional trade flows: hierarchy, feedbacks and spatial linkages," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 29(4), pages 409-430.
    7. Norbu, Nyingtob Pema & Tateno, Yusuke & Bolesta, Andrzej, 2021. "Structural transformation and production linkages in Asia-Pacific least developed countries: An input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 510-524.
    8. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    9. Yaya Su & Zhenghui Li & Cunyi Yang, 2021. "Spatial Interaction Spillover Effects between Digital Financial Technology and Urban Ecological Efficiency in China: An Empirical Study Based on Spatial Simultaneous Equations," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    10. Yang Xun & Wensheng Shi & Tianyu Liu & Fei Xiong, 2021. "Research on the Structural Characteristics of Entertainment Industrial Correlation in China: Based on Dual Perspective of Input-Output and Network Analysis," Complexity, Hindawi, vol. 2021, pages 1-11, October.
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