IDEAS home Printed from https://ideas.repec.org/p/gro/rugggd/gd-132.html
   My bibliography  Save this paper

Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures

Author

Listed:
  • Temurshoev, Umed
  • Oosterhaven, Jan

    (Groningen University)

Abstract

We consider ten widely used 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 incomplete 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 policyrelevant measures, our empirical tests are based on sectoral income (GDP) linkages, CO2-emission linkages and employment linkages for 34 industries and 33 countries. They show that the information on the ten key sector measures may be summarized by four measures.

Suggested Citation

  • Temurshoev, Umed & Oosterhaven, Jan, 2013. "Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures," GGDC Research Memorandum GD-132, Groningen Growth and Development Centre, University of Groningen.
  • Handle: RePEc:gro:rugggd:gd-132
    as

    Download full text from publisher

    File URL: http://irs.ub.rug.nl/ppn/242411630
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Gurgul, Henryk & Lach, Łukasz, 2019. "Eco-efficiency analysis in generalized IO models: Methods and examples," MPRA Paper 96604, University Library of Munich, Germany.
    8. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Valerija Botric, 2013. "Identifying Key Sectors in Croatian Economy Based on Input-Output Tables," Working Papers 1302, The Institute of Economics, Zagreb.
    15. 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.
    16. 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.
    17. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Louis Mesnard, 2007. "Reply to Oosterhaven’s: the net multiplier is a new key sector indicator," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 285-296, June.
    2. Louis Mesnard, 2007. "A critical comment on Oosterhaven–Stelder net multipliers," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 249-271, June.
    3. Erik Dietzenbacher, 2005. "More on multipliers," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 421-426, May.
    4. Sirkka Koskela & Tuomas Mattila & Riina Antikainen & Ilmo Mäenpää, 2013. "Identifying Key Sectors and Measures for a Transition towards a Low Resource Economy," Resources, MDPI, vol. 2(3), pages 1-16, July.
    5. Ferran Sancho, 2013. "Some conceptual difficulties regarding ‘net’ multipliers," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(2), pages 537-552, October.
    6. Clio Ciaschini & Margherita Carlucci & Francesco Maria Chelli & Giuseppe Ricciardo Lamonica & Luca Salvati, 2022. "The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables," Economies, MDPI, vol. 10(12), pages 1-22, November.
    7. Jan Oosterhaven, 2007. "The net multiplier is a new key sector indicator: reply to De Mesnard’s comment," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 273-283, June.
    8. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gro:rugggd:gd-132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hanneke Tamling (email available below). General contact details of provider: https://edirc.repec.org/data/ferugnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.