Based on the latest inter-regional input-output table, this paper constructs a multi-regional input-output model to calculate the multiplier effect, inter-regional spillover effect and feedback effect in the Yangtze River Delta region. The empirical results show that Shanghai's industrial driving force is the strongest, and its spillover effect and feedback effect are stronger than those of Jiangsu and Zhejiang, and the spillover effect of the three industries is also the strongest, and its spillover effect on Jiangsu is stronger than that on Zhejiang. Jiangsu has the closest industrial association, with the strongest multiplier effect in the primary and secondary industries, however, no cross-regional industrial association has been formed, and the manufacturing industry is at the low end of the value chain. The secondary industry in Zhejiang is closely related and plays a strong driving role in Shanghai industry. Therefore, it is of great necessity to optimize the internal industrial structure to build the modern industrial system in the Yangtze River Delta region, improve the industrial correlation between regions to promote the overall coordinated development of the Yangtze River Delta region and improve the layout of the infrastructure network to enhance connectivity in the Yangtze River Delta region.
Huang Ruiling
,
Zhang Xu
. A Comparative Study of Industrial Multiplier, Spillover and Feedback Effect in the Yangtze River Delta Region —Based on Multi-region Input-output Model[J]. Finance & Economics of Xinjiang, 2020
, 0(3)
: 17
-28
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DOI: 10.16716/j.cnki.65-1030/f.2020.03.002
[1] Leontief W.Studies in the Structure of the American Economy[M].New York:Oxford University Press,1953.
[2] Miller R E.Comments on the 'General Equilibrium' Model of Professor Moses[J].Metroeconomoica,1963(2-3):82-88.
[3] Miller R E.Interregional Feedbacks in Input-output Models:Some Preliminary Results[J].Papers of the Rsgional Sci-ence Association,1966(1):105-125.
[4] Pyatt G,Round J I.Accounting and Fixed Price Multipliers in a Social Accounting Matrix Framework[J].Economic Journal,1979(356):850-873.
[5] Round J I.Decomposing Multipliers for Economic Systems Involving Regional and World Trade[J].Economic Journal,1985(378):383-399.
[6] Round J I.Feedback Effects in Interregional Input-output Models:What Have We Learned?[A].Lahr M L,Dietzenbacher E.(Eds.) Input-Output Analysis:Frontiers and Extensions[C].Palgrave Publisher,2001.
[7] Sonis M,Oosterhaven J,Hewings G J D.Spatial Economic Structure and Structural Changes in the EC:Feedback Loop Analysis[J].Economic Systems Research,1993(5):173-184.
[8] Sonis M,Hewings D J.Miyazawa's Contributions to Understanding Economic Structure Interpretation Evaluation and Extensions[J].Understanding and Interpreting Economic Structure,1999(2):13-51.
[9] Dietzenbacher E.Interregional Multipliers:Look Backward,Looking Forward[J].Regional Studies,2002(2):125-136.
[10] 潘文卿,李子奈.中国沿海与内陆间经济影响的反馈与溢出效应[J].经济研究,2007(5):68-77.
[11] 王勇. 中日间经济影响的乘数效应、溢出效应与反馈效应——基于中日国际投入产出表的研究[J].国际贸易问题,2016(4):83-93.
[12] 吴福象,朱蕾.中国三大地带间的产业关联及其溢出和反馈效应:基于多区域投入产出分析技术的实证研究[J].南开经济研究,2010(5):140-152.
[13] 张友国. 中国三大地域间供需双向溢出—反馈效应研究[J].数量经济技术经济研究,2017(5):3-19.
[14] 李惠娟. 中国三大经济区间服务业溢出和反馈效应——基于三区域间投入产出分析的视角[J].当代财经,2014(6):102-110.
[15] 全诗凡,武亚斌,罗宏翔.京津冀区域经济影响的乘数、反馈与溢出效应[J].经济与管理研究,2017(7):74-83.
[16] 刘李佳,王浩宇.基于投入产出模型的京津冀区域产业溢出及反馈效应研究[J].经济问题,2018(7):123-129.
