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An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China

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  • Chenxi Li
  • Kening Wu

Abstract

Although the industrial transfer path is of great significance to the distribution of the industrial relocators and receivers in the process of industrial transfer, how to measure the input–output relationship between industries is still unclear. Based on an adjusted input–output table, this paper attempts to measure the input–output relationship for transport equipment manufacturing industry in the Beijing‐Tianjin‐Hebei region. The interregional input–output model was used to realize the calculation of the single department transfer amount. Moreover, combining with the calculation results, the transfer path of the transportation equipment manufacturing was characterized. The results showed that the phenomenon of transfer over space in the transportation equipment manufacturing industry was distinct. The industrial transfer has shifted from the coastal areas to central and western regions. Sixteen provinces, mainly including Inner Mongolia, Henan, Shanxi, etc., had a net outflow of the transportation equipment manufacturing industry. The rest is net inflow provinces. Transportation equipment manufacturing industrial transfer is moving into Beijing and Tianjin. This paper will provide a reference for reasonable and orderly acceptance of industrial transfer from a quantitative perspective.

Suggested Citation

  • Chenxi Li & Kening Wu, 2022. "An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 91-111, March.
    • Handle: RePEc:bla:growch:v:53:y:2022:i:1:p:91-111
    DOI: 10.1111/grow.12571
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    as
    1. de Koning, Arjan & Bruckner, Martin & Lutter, Stephan & Wood, Richard & Stadler, Konstantin & Tukker, Arnold, 2015. "Effect of aggregation and disaggregation on embodied material use of products in input–output analysis," Ecological Economics, Elsevier, vol. 116(C), pages 289-299.
    2. Joydeep Chatterjee, 2017. "Strategy, human capital investments, business‐domain capabilities, and performance: a study in the global software services industry," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 588-608, March.
    3. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    4. Chenxi Li & Kening Wu & Xiangyu Gao, 2020. "Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2941-2965, April.
    5. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    6. Bertoni, Danilo & Aletti, Giacomo & Ferrandi, Giulia & Micheletti, Alessandra & Cavicchioli, Daniele & Pretolani, Roberto, 2018. "Farmland Use Transitions After the CAP Greening: a Preliminary Analysis Using Markov Chains Approach," Land Use Policy, Elsevier, vol. 79(C), pages 789-800.
    7. Akihiro Otsuka & Mika Goto & Toshiyuki Sueyoshi, 2010. "Industrial agglomeration effects in Japan: Productive efficiency, market access, and public fiscal transfer," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 819-840, November.
    8. Hongyan Zhao & Guannan Geng & Qiang Zhang & Steven J. Davis & Xin Li & Yang Liu & Liqun Peng & Meng Li & Bo Zheng & Hong Huo & Lin Zhang & Daven K. Henze & Zhifu Mi & Zhu Liu & Dabo Guan & Kebin He, 2019. "Inequality of household consumption and air pollution-related deaths in China," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    9. Riccardo Crescenzi & Carlo Pietrobelli & Roberta Rabellotti, 2017. "Corrigendum to: Innovation drivers, value chains and the geography of multinational corporations in Europe," Journal of Economic Geography, Oxford University Press, vol. 17(4), pages 925-925.
    10. Wu, Shanhua & Yang, Zhongzhen, 2018. "Optimizing location of manufacturing industries in the context of economic globalization: A bi-level model based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 327-337.
    11. Kshetri, Nir, 2016. "Institutional and economic factors affecting the development of the Chinese cloud computing industry and market," Telecommunications Policy, Elsevier, vol. 40(2), pages 116-129.
    12. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    13. Zheng, Haitao & Fang, Qi & Wang, Cheng & Jiang, Yunyun & Ren, Ruoen, 2018. "Updating China's input-output tables series using MTT method and its comparison," Economic Modelling, Elsevier, vol. 74(C), pages 186-193.
    14. Li, Dongya & Lu, Yi & Wu, Mingqin, 2012. "Industrial agglomeration and firm size: Evidence from China," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 135-143.
    15. Cabral, René & Castellanos-Sosa, Francisco A., 2019. "Europe's income convergence and the latest global financial crisis," Research in Economics, Elsevier, vol. 73(1), pages 23-34.
    16. Wang, Yixuan & Wang, Nuo, 2019. "The role of the port industry in China's national economy: An input–output analysis," Transport Policy, Elsevier, vol. 78(C), pages 1-7.
    17. Cui, Lin & Li, Yi & Li, Zijie, 2013. "Experiential drivers of foreign direct investment by late-comer Asian firms: The Chinese evidence," Journal of Business Research, Elsevier, vol. 66(12), pages 2451-2459.
    18. Maria Savona & Roberto Schiattarella, 2004. "International relocation of production and the growth of services: the case of the “Made in Italy” industries," Post-Print halshs-00231588, HAL.
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