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Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures

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  • Umed Temurshoev
  • Jan Oosterhaven

Abstract

We consider the 10 most salient key sector measures (linkages) and identify groups of the most similar indicators on both analytical and empirical grounds. We derive new closed-form formulas for the generalized complete and partial hypothetical extraction linkages and add the up-till-now-undefined forward counterpart of the net backward linkage. The analytical relations and some stylized facts enable us to formulate hypotheses about the direction and strength of the relationships between various linkages. To study policy-relevant measures, our empirical tests are based on income (GDP) linkages, CO 2 emission linkages and employment linkages for 34 industries and 33 countries. The data show that the information on the 10 key sector measures may be summarized by three to at most four measures.

Suggested Citation

  • Umed Temurshoev & Jan Oosterhaven, 2014. "Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(3), pages 284-308, September.
    • Handle: RePEc:taf:specan:v:9:y:2014:i:3:p:284-308
    DOI: 10.1080/17421772.2014.930168
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    1. repec:dgr:rugggd:gd-133 is not listed on IDEAS
    2. repec:dgr:rugsom:04c01 is not listed on IDEAS
    3. Oosterhaven, Jan, 2004. "On the definition of key sectors and the stability of net versus gross multipliers," Research Report 04C01, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
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    Cited by:

    1. Raffaele Giammetti & Alberto Russo & Mauro Gallegati, 2020. "Key sectors in input–output production networks: An application to Brexit," The World Economy, Wiley Blackwell, vol. 43(4), pages 840-870, April.
    2. Henryk Gurgul & Łukasz Lach, 2019. "On approximating the accelerator part in dynamic input–output models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 219-239, March.
    3. Kordalska, Aleksandra & Olczyk, Magdalena, 2021. "Linkages between services and manufacturing as a new channel for GVC development: Evidence from CEE countries," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 125-137.
    4. Maria Markaki & Stelios Papadakis & Anna Putnová, 2021. "A Modern Industrial Policy for the Czech Republic: Optimizing the Structure of Production," Mathematics, MDPI, vol. 9(23), pages 1-20, November.
    5. Soulixay Hongsakhone & Moinul Islam & Masaru Ichihashi, 2021. "Producing a village input–output table (VIOT) from household survey data: a case study of a VIOT for a rural village in northern Lao PDR," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-24, December.
    6. Ronald E. Miller & Umed Temurshoev, 2017. "Output Upstreamness and Input Downstreamness of Industries/Countries in World Production," International Regional Science Review, , vol. 40(5), pages 443-475, September.
    7. Valerija Botric, 2013. "Identifying Key Sectors in Croatian Economy Based on Input-Output Tables," Working Papers 1302, The Institute of Economics, Zagreb.
    8. Amitrajeet A. Batabyal & Henk Folmer, 2020. "Spatial economic aspects of climate change," Spatial Economic Analysis, Taylor & Francis Journals, vol. 15(3), pages 209-218, July.
    9. Jan Oosterhaven & Michiya Nozaki, 2014. "The impact of production and infrastructure shocks to the Japanese inter-regional economy: A non-linear input-output programming approach," ERSA conference papers ersa14p163, European Regional Science Association.
    10. Patricio Aroca & Randall Jackson, 2018. "Value Chains: Production Upstreamness and Downstreamness Revisited," Working Papers Working Paper 2018-01_R1, Regional Research Institute, West Virginia University.
    11. Shuning Chen & Masaru Kagatsume, 2018. "Impacts of environmental conservation programs on regional economic structural change in Guizhou, China, from 2002 to 2012: an input–output analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
    12. Chen, Quanrun & Chen, Xikang & Pei, Jiansuo & Yang, Cuihong & Zhu, Kunfu, 2020. "Estimating domestic content in China’s exports: Accounting for a dual-trade regime," Economic Modelling, Elsevier, vol. 89(C), pages 43-54.
    13. Hu, Fei & Zhao, Shangmei & Bing, Tao & Chang, Yiming, 2017. "Hierarchy in industrial structure: The cases of China and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 871-882.
    14. Fitsum Semere Weldegiorgis & Evelyn Dietsche & Shabbir Ahmad, 2023. "Inter-Sectoral Economic Linkages in the Mining Industries of Botswana and Tanzania: Analysis Using Partial Hypothetical Extraction Method," Resources, MDPI, vol. 12(7), pages 1-26, June.
    15. Gurgul, Henryk & Lach, Łukasz, 2019. "Eco-efficiency analysis in generalized IO models: Methods and examples," MPRA Paper 96604, University Library of Munich, Germany.
    16. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
    17. Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues & Vale, Vinicius de Almeida, 2015. "The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables," Energy Economics, Elsevier, vol. 52(PA), pages 228-239.
    18. J. Verschuur & E. E. Koks & J. W. Hall, 2022. "Ports’ criticality in international trade and global supply-chains," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    19. Randall Jackson, 2015. "Fellows Address: Are Industry Clusters and Diversity Strange Bedfellows?," Working Papers Working Paper 2015-04, Regional Research Institute, West Virginia University.

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