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How does intermediate consumption affect GVC positions? - A comparison between China and US

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  • Dai, Feng
  • Liu, Ruixiang
  • Guo, Hao
  • Du, Xiuhong

Abstract

Using the data of the World Input and Output Table (WIOD) from 2000 to 2014, this paper measures the positions of China and the US in the global value chains (GVCs). We develop a new dual structural decomposition method to analyze the drivers behind the GVC position differences between the two countries from the perspective of intermediate consumption. The results show that (1) China is moving away from both end-users and primary factors, while the U.S. is moving towards both ends of the GVCs. The gap between China and the US in GVCs is widening. (2) About 40% of the difference between the GVC positions of China and the US can be attributed to the difference in industrial structures between the two countries, and the remaining 60% is related to the difference in the GVC positions of the same industries between the two countries. (3) China's three major industries are all embedded in a further GVC position from households, governments, and investors (HGIs) than the US, but they are formed for completely different reasons. The domestic direct effect is the main reason for the resource industry, the multiplier effect is the main driver for the manufacturing industry, and the domestic linkage effect is the main factor for the service industry. (4) The different roles of the two countries in the international division of labor result in the difference in the two countries' consumption coefficients of the manufacturing and service sectors, and the asymmetric interaction between industries ultimately leads to the differentiation in the GVC positions of the industries between the two countries.

Suggested Citation

  • Dai, Feng & Liu, Ruixiang & Guo, Hao & Du, Xiuhong, 2020. "How does intermediate consumption affect GVC positions? - A comparison between China and US," China Economic Review, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:chieco:v:63:y:2020:i:c:s1043951x20301280
    DOI: 10.1016/j.chieco.2020.101531
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    References listed on IDEAS

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    1. Pol Antràs & Davin Chor, 2013. "Organizing the Global Value Chain," Econometrica, Econometric Society, vol. 81(6), pages 2127-2204, November.
    2. Pol Antras & Davin Chor & Thibault Fally & Russell Hillberry, 2012. "Measuring the Upstreamness of Production and Trade Flows," American Economic Review, American Economic Association, vol. 102(3), pages 412-416, May.
    3. Ricardo Hausmann & Jason Hwang & Dani Rodrik, 2007. "What you export matters," Journal of Economic Growth, Springer, vol. 12(1), pages 1-25, March.
    4. Hagemejer Jan & Ghodsi Mahdi, 2017. "Up or Down the Value Chain? A Comparative Analysis of the GVC Position of the Economies of the New EU Member States," Central European Economic Journal, Sciendo, vol. 1(48), pages 19-36, November.
    5. Zhi Wang & Shang-Jin Wei & Xinding Yu & Kunfu Zhu, 2017. "Characterizing Global Value Chains: Production Length and Upstreamness," NBER Working Papers 23261, National Bureau of Economic Research, Inc.
    6. Gerard Kelly & Gianni La Cava, 2014. "International Trade Costs, Global Supply Chains and Value-added Trade in Australia," RBA Research Discussion Papers rdp2014-07, Reserve Bank of Australia.
    7. Antrà s, Pol & Chor, Davin, 2017. "On the Measurement of Upstreamness and Downstreamness in Global Value Chains," CEPR Discussion Papers 12549, C.E.P.R. Discussion Papers.
    8. Peter K. Schott, 2008. "The relative sophistication of Chinese exports [‘Manufacturing Earnings and Compensation in China’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 23(53), pages 6-49.
    9. Erik Dietzenbacher & Isidoro Romero, 2007. "Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths," International Regional Science Review, , vol. 30(4), pages 362-383, October.
    10. Xu, Bin, 2010. "The sophistication of exports: Is China special?," China Economic Review, Elsevier, vol. 21(3), pages 482-493, September.
    11. Xu, Bin, 2010. "Erratum to "The sophistication of exports: Is China special?" [China Economic Review 21 (3) (2010) 482-493]," China Economic Review, Elsevier, vol. 21(4), pages 671-672, December.
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    2. Yuping Deng & Yanrui Wu & Helian Xu, 2022. "Emission Reduction and Value-added Export Nexus at Firm Level," Economics Discussion / Working Papers 22-19, The University of Western Australia, Department of Economics.

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    More about this item

    Keywords

    Intermediate consumption; Global value chains; Position; Dual structural decomposition analysis;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts
    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies

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