Program and Development Research

Program and Development Research

The Hypothetical Extraction Method as a Tool for Measuring Double Counting in Global Value Chains: Implications for Countries’ Development Levels

Document Type : Original Article

Authors
1 Researcher
2 Faculty Member, Faculty of Economics, Allameh Tabataba’i University.
3 Faculty Member, Faculty of Economics, University of TehraN
Abstract
Conventional accounting frameworks and foreign trade statistics remain inadequate in disentangling the value added embodied in gross exports and, consequently, in accurately identifying the extent of double counting within global value chains. This measurement challenge obscures a critical dimension of international trade analysis, as double counting plays a pivotal role in shaping the degree and quality of a country’s integration into the global economy. Despite its significance, the issue of double counting and its relationship with levels of national development has received limited scholarly attention in recent years, particularly within the Iranian context. This article addresses the issue through two core research questions. First, to what extent can the measurement of double counting in the decomposition of value added within gross exports—analyzed in the context of bilateral trade flows—serve as a proxy for assessing countries’ levels of development? Second, in Iran’s trade relations, which group of partners, the Shanghai Cooperation Organization or the European Union, exhibits a higher degree of double counting? To explore these questions, the study employs the Hypothetical Extraction Method (HEM), applied to the World Input–Output Database covering 189 countries and 26 economic sectors over the period 1990–2017. The empirical results yield two principal insights. First, countries positioned in higher income strata systematically exhibit greater average levels of double counting, reflecting a more profound degree of integration into global value chains, whereas countries in lower income categories display markedly lower averages. Second, although Iran’s double counting with both groups of partners has remained relatively limited over the past two decades, the magnitude of its double counting with the European Union has consistently surpassed that observed with members of the Shanghai Cooperation Organization.
Keywords

Subjects


Banouei, A. A., Sherkat, A., Bazzazan, F., Shah-Hosseini, S., & Kiani-Rad, A. (2023). A comparison of type II and III statistical errors and their ratios to value added in exports. Economic Research Quarterly, 22(4), 77–108. https://doi.org/10.22054/joer.2023.74255.1136
Banouei, A. A., Arabmazar Yazdi, A., Sherkat, A., Kiani-Rad, A., & Sadeghi, N. (2023). Deficiencies of conventional input–output tables in Iran and a solution for measuring value-added exports and imports. New Economics and Trade, 2. https://doi.org/10.22034/ecoj.2023.376263.2982
Banouei, A. A., & Fahimi, B. (2021). Applying average propagation length to identify production chains and its relation to domestic value added in gross exports and vertical specialization: The case of Iran (pp. 25–58).
Jahangard, E., & Azadikhah Jahromi, A. (2022). Identifying production chains in Iran using the Average Propagation Length (APL) index. Economic Research Quarterly, 13(51), 81–111. https://doi.org/10.22054/joer.2013.409
Jahangard, E., & Ebrahimi, J. (2024). Decomposition of domestic value added in Iran’s gross export activities: A cross-country approach. Economic Research Quarterly, 23(90), 5–51.
Sherkat, A., Banouei, A. A., Shah-Hosseini, S., Bazzazan, F., & Kiani-Rad, A. (2023). Using hypothetical extraction and conventional methods to measure value added in trade: Similar or different results? Iranian Economic Development Analysis, 9(1), 123–142. https://doi.org/10.22051/ieda.2023.45164.1376
Qazarian, A., Banouei, A. A., & Mo’meni, F. (2024). Identifying internal and external environments of production chains and their relation to the raw-material export problem. Iranian Economic Development Analysis, 1(25), 51–72. https://doi.org/10.22051/ieda.2024.45945.1397
Khanzadeh, M., Davoudi, P., Samsami, H., & Moridi-Farimani, F. (2024). Identifying production chains in Iran’s domestic economy and examining the performance of Iran’s foreign trade within these chains. Applied Economic Theory Quarterly, 10(4), 1–32. https://doi.org/10.29252/japt.2023.284704.1481
Mohajeri, P., & Banouei, A. A. (2021). Estimating domestic value added in gross exports and its relationship with vertical specialization: The case of Iran. Iranian Journal of Economic Studies, 10(1), 7–29. https://doi.org/10.22099/ijes.2021.41249.2003
Najjarzadeh, R., Aghli, L., Dargahi, H., & Biabani Khameneh, K. (2020). Measuring indicators of Iran’s position in global value chains and comparison with selected countries. Economic Research and Policy, 28(94), 101–129. https://doi.org/10.22059/esrp.2020.288229.1006571
Aqib Aslam, Natalija Novta, and Fabiano Rodrigues-Bastos. (2017). IMF Working Paper Research Department Calculating Trade in Value Added, Authorized for distribution by Oya Celasun July 2017. 
DOI: 10.5089/9781484311493.001
Baldwin, R. & Robert-Nicoud, F. (2014). Trade-in-goods and trade-in-tasks: An integrating frameworks. Journal of International Economics, 99(3), 51-62.
DOI:10.1016/j.jinteco.2013.10.002
Borin, A., & Mancini, M. (2017). Follow the value added: Tracking bilateral relations in glob value chains. Campa, J., and L. Goldberg. 1997. “The Evolving External Orientation of Manufacturing Industries: Evidence from Four Countries.” NBER Working Paper No. 5919, NBER, Cambridge, MA.
Borin, M Mancini .)2023(. Measuring what matters in value-added trade .Economic Systems Research, p 1-28. https://doi.org/10.1080/09535314.2022.2153221
Casella, B., Bolwijn, R., Moran, D. D., & Kanemoto, K. (2019). Improving the analysis of global value chains: the UNCTAD-Eora Database. Transnational Corporations Journal, 26(3).
DOI: 10.18356/3aad0f6a-en
Casella, B., Bolwijn, R., Moran, D., & Kanemoto, K. (2019). Improving the analysis of global value chains: the UNCTAD-Eora Database. Transnational Corporations, 26(3), 115-142.10.18356/3aad0f6a-en
Daudin, G., Rifflart, C., & Schweisguth, D. (2011). Who produces for whom in the world economy?. Canadian Journal of Economics/Revue canadienne d'économique, 44(4), 1403-1437.
DOI: 10.1111/j.1540-5982.2011.01679.x
Feás, E. (2023). Decomposition of value added in gross exports: a critical review. Applied Economic Analysis, 31(93), 182-198.
DOI: 10.1108/AEA-11-2022-0300
Global Value Chain Development Report .(2023), RESILIENT AND SUSTAINABLE GVCS IN TURBULENT TIMES. World Trade Organization (WTO).
DOI: 10.30875/9789287075673
Guilhoto, J. J., Webb, C., & Yamano, N. (2022). Guide to the OECD TiVA Indicators. OECD Science, Technology and Industry Working Papers, 2022(2), 3-55.
DOI: 10.1787/58aa22b1-en
Hummels, D., Ishii, J., & Yi, K. M. (2001). The nature and growth of vertical specialization in world trade. Journal of international Economics, 54(1), 75-96.
DOI: 10.1016/S0022-1996(00)00093-3
Johnson, R. C. (2014). Five facts about value-added exports and implications for macroeconomics and trade research. Journal of economic perspectives, 28(2), 119-142.
DOI: 10.1257/jep.28.2.119
Johnson, R. C., & Noguera, G. (2012). Accounting for intermediates: Production sharing and trade in value added. Journal of international Economics, 86(2), 224-236.
DOI: 10.1016/j.jinteco.2011.10.003
Koopman, R., Wang, Z., & Wei, S. J. (2014). Tracing value-added and double counting in gross exports. American economic review, 104(2), 459-494.
DOI: 10.1257/aer.104.2.459
Llop, M. (2024). Beyond trade statistics: how much do exports actually contribute to domestic value added?. Humanities and Social Sciences Communications, 11(1), 1-13.
DOI: 10.1057/s41599-024-02731-0
Los, B. and M. P. Timmer, (2018). ‘Measuring Bilateral Exports of Value Added: A Unified Framework.’ NBER Working Paper No. 24896.
Los, B., Timmer, M.P. and de Vries, G.J. (2016), Tracing value-added and double counting in gross exports: comment, American Economic Review, Vol. 106 No. 7, pp. 1958-1966,
DOI: 10.1257/ aer.20140883.
Los, B., & Timmer, M. P. (2020). Measuring bilateral exports of value added: a unified framework. In The challenges of globalization in the measurement of national accounts. University of Chicago Press.
DOI: 10.7208/chicago/9780226825908.003.0012
Miroudot, S., & Ye, M. (2021). Decomposing value added in gross exports. Economic Systems Research, 33(1), 67-87.
DOI: 10.1080/09535314.2020.1730308
Miroudot, S., & Ye, M. (2022). Decomposing value added in gross exports from a country and bilateral perspective. Economics Letters, 212, 110272.
DOI: 10.1016/j.econlet.2022.110272
Miroudot, S. and Ye, M. (2017), Decomposition of value-added in gross exports: unresolved issues and possible solutions, MPRA Paper No. 86346, Munich RePEc Archive.
Miroudot, S., & Ye, M. (2019). Investigating double counting terms in the value-added decomposition of gross exports.
Mohajeri, P., & Banouei, A. A. (2021). Iranian Journal of Economic Studies. Iranian Journal of Economic Studies, 10(1), 7-29.
DOI: 10.22099/ijes.2021.38122.1694
Timothy J. Sturgeon, Memedovic, Olga. (2011). Mapping Global Value Chains: Intermediate Goods Trade and Structural Change in the World Economy, United Nations Industrial Development Organization , Development Policy and Strategic Research Branch Working Paper 05/2011.
Tokito, S., Nagashima, F., & Hanaka, T. (2024). Changes in domestic value added from exports: a structural decomposition approach. Spatial Economic Analysis, 1-15.
DOI: 10.1080/14747731.2024.2312695
Wang, Z., Wei, S. J., & Zhu, K. (2013). Quantifying international production sharing at the bilateral and sector levels (No. w19677). National Bureau of Economic Research.
DOI: 10.3386/w19677
Wang, Z., Wei, S. J., Yu, X., & Zhu, K. (2018). Re-examining the effects of trading with china on local labor markets: A supply chain perspective (No. w24886). National Bureau of Economic Research.
DOI: 10.3386/w24886
World development report.(2020): Trading for development in the age of global value chains. The World Bank.10.1596/978-1-4648-1457-0
Ye, M., B. Meng, and S-J. Wei. (2015). Measuring Smile Curves in Global Value Chains.IDE Discussion Paper No. 530, IDE–JETRO, Chiba, Japan.
https://blogs.worldbank.org/en/opendata/new-world-bank-group-country-classifications-income-level-fy24