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Compilation of a regionally-extended inter-country input-output table and its application to global value chain analysis

Author

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  • Meng, Bo
  • Yamano, Norihiko
  • Inomata, Satoshi
  • Xiao, Hao
  • Wang, Jianguo

Abstract

Studies on the rise of global value chains (GVCs) have attracted a great deal of interest in the recent economics literature. However, due to statistical and methodological challenges, most existing research ignores domestic regional heterogeneity in assessing the impact of joining GVCs. GVCs are supported not only directly by domestic regions that export goods and services to the world market, but also indirectly by other domestic regions that provide parts, components, and intermediate services to final exporting regions. To better understand the nature of a country's position and degree of participation in GVCs, we need to fully examine the role of individual domestic regions. Understanding the domestic components of GVCs is especially important for larger economies such as China, the US, India and Japan, where there may be large variations in economic scale, geography of manufacturing, and development stages at the domestic regional level. This paper proposes a new framework for measuring domestic linkages to global value chains. This framework measures domestic linkages by endogenously embedding a target country's (e.g. China and Japan) domestic interregional input–output tables into the OECD inter-country input–output model. Using this framework, we can more clearly understand how global production is fragmented and extended internationally and domestically.

Suggested Citation

  • Meng, Bo & Yamano, Norihiko & Inomata, Satoshi & Xiao, Hao & Wang, Jianguo, 2016. "Compilation of a regionally-extended inter-country input-output table and its application to global value chain analysis," IDE Discussion Papers 564, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  • Handle: RePEc:jet:dpaper:dpaper564
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    References listed on IDEAS

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    1. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    2. Dietzenbacher, Erik & Guilhoto, Joaquim & Imori, Denise, 2013. "The Role of Brazilian Regions in the Global Value Chain," TD NEREUS 13-2013, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    3. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2008. "How Much of Chinese Exports is Really Made In China? Assessing Domestic Value-Added When Processing Trade is Pervasive," NBER Working Papers 14109, National Bureau of Economic Research, Inc.
    4. Pei, Jiansuo & Meng, Bo & Wang, Fei & Xue, Jinjun, 2015. "Production sharing, demand spillovers and CO2 emissions : the case of Chinese regions in GVCs," IDE Discussion Papers 493, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    5. Meng, Bo & Wang, Zhi & Koopman, Robert, 2013. "How are global value chains fragmented and extended in China's domestic production networks?," IDE Discussion Papers 424, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    6. Johnson, Robert C. & Noguera, Guillermo, 2012. "Accounting for intermediates: Production sharing and trade in value added," Journal of International Economics, Elsevier, vol. 86(2), pages 224-236.
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    Cited by:

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    2. Fabio Monsalve & Mateo Ortiz & María-Ángeles Cadarso & Enrique Gilles & Jorge Zafrilla & Luis-Antonio López, 2020. "Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-24, December.
    3. Mark Thissen & Maureen Lankhuizen & Frank (F.G.) van Oort & Bart Los & Dario Diodato, 2018. "EUREGIO: The construction of a global IO DATABASE with regional detail for Europe for 2000-2010," Tinbergen Institute Discussion Papers 18-084/VI, Tinbergen Institute.
    4. Xing, Lizhi & Dong, Xianlei & Guan, Jun, 2017. "Global industrial impact coefficient based on random walk process and inter-country input–output table," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 576-591.
    5. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    6. Chen, Weiming & Zhang, Zhenjun & Chen, Kaiyuan, 2023. "Inter-regional economic-environmental correlation effects of power sector in China," Energy, Elsevier, vol. 278(C).
    7. Yelena Andreyeva & Artyom Ratner & Oksana Voronkova & Anatoly Tarasov, 2018. "The Influence of Import Substitution on Regional Positioning in the System of International Economic Relations," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1438-1449.
    8. Elena L. Andreeva & Dmitriy A. Karkh & Artem V. Ratner, 2020. "A regional dimension of the Russian export: Assessment of spatial and sectoral differentiation," Journal of New Economy, Ural State University of Economics, vol. 21(2), pages 60-75, July.
    9. Elvira Prades-Illanes & Patrocinio Tello-Casas, 2020. "Spanish regions in Global Value Chains: How important? How different?," Working Papers 2026, Banco de España.
    10. Joao‐Pedro Ferreira & Pedro Ramos & Eduardo Barata & Christa Court & Luís Cruz, 2021. "The impact of COVID‐19 on global value chains: Disruption in nonessential goods production," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 32-54, November.
    11. Antonioli, Davide & Berardino, Claudio Di & Onesti, Gianni, 2023. "The intersectoral linkages and manufacturing productivity growth in Italian regions using the I-O approach," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 120-133.

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    More about this item

    Keywords

    International trade; Input-output tables; Trade in value-added; Global value chain; Input-output; Regional heterogeneity;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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