IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v11y2022i9p384-d898770.html
   My bibliography  Save this article

Exploring the Influence of Government Data Performance on Knowledge Capabilities: Towards a Data-Oriented Political Economy

Author

Listed:
  • Daniyar Mukhametov

    (Department of Political Science, Financial University under the Government of the Russian Federation, 125167 Moscow, Russia)

Abstract

This article is devoted to the study of the influence of government data performance on knowledge capabilities. Knowledge capabilities play a key role in open innovation and creation of citizen-oriented products and services. However, it is necessary to assess the role of the information environment in the development of knowledge capabilities, including government data as a product and a component of the information environment. Government data performance is expressed through the statistical capacity score and its three dimensions: periodicity assessment of statistical capacity, methodology assessment of statistical capacity, and source data assessment of statistical capacity. Knowledge capabilities are expressed through economic complexity, which reflects the diversity and uniqueness of the production capabilities inherent in each country’s exports. Econometric analysis is based on dynamic panel data models that quantify the effect of government data performance on economic complexity. The final dataset includes 94 countries and their indicators for the selected variables for 2004–2019. The models show that government data performance and its various dimensions influence economic complexity because government data provide a detailed and publicly available description of the economic space, including available resources and potential tasks. Based on these data, agents can produce dissimilar and unique products. This logic may be true in general for the influence of government data performance on knowledge capabilities: structured and complete government data reduces the cost of information analysis and provides information support for decisions. The results of the study contribute to the ideas of a data-oriented political economy. Government participation in value creation includes various forms of indirect influence. The provision of government data is one of these forms. The development of collective data governance and collaborative data projects makes it possible to create more complete datasets and stimulates citizen involvement and deliberation.

Suggested Citation

  • Daniyar Mukhametov, 2022. "Exploring the Influence of Government Data Performance on Knowledge Capabilities: Towards a Data-Oriented Political Economy," Social Sciences, MDPI, vol. 11(9), pages 1-14, August.
    • Handle: RePEc:gam:jscscx:v:11:y:2022:i:9:p:384-:d:898770
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/11/9/384/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/11/9/384/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    2. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    3. Garcia Martinez, Marian & Zouaghi, Ferdaous & Garcia Marco, Teresa & Robinson, Catherine, 2019. "What drives business failure? Exploring the role of internal and external knowledge capabilities during the global financial crisis," Journal of Business Research, Elsevier, vol. 98(C), pages 441-449.
    4. Nagy Hanna, 2018. "A role for the state in the digital age," Journal of Innovation and Entrepreneurship, Springer, vol. 7(1), pages 1-16, December.
    5. C. A. Hidalgo & B. Klinger & A. -L. Barabasi & R. Hausmann, 2007. "The Product Space Conditions the Development of Nations," Papers 0708.2090, arXiv.org.
    6. Ricardo Hausmann & César Hidalgo, 2011. "The network structure of economic output," Journal of Economic Growth, Springer, vol. 16(4), pages 309-342, December.
    7. Nieves, Julia & Haller, Sabine, 2014. "Building dynamic capabilities through knowledge resources," Tourism Management, Elsevier, vol. 40(C), pages 224-232.
    8. Petar Milić & Nataša Veljković & Leonid Stoimenov, 2022. "Using OpenGovB Transparency Indicator to Evaluate National Open Government Data," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    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. Valentine, Soumtang Bime & Itchoko Motande, Mondjeli Mwa Ndjokou & Salim Ahmed, Vessah Mbouombouo, 2024. "Revisiting natural resources and economic complexity nexus: Does financial development matter in developing countries?," Resources Policy, Elsevier, vol. 93(C).

    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. Sena Kimm Gnangnon, 2021. "Economic complexity and poverty in developing countries," Economic Affairs, Wiley Blackwell, vol. 41(3), pages 416-429, October.
    2. Antonis Adam & Antonios Garas & Marina-Selini Katsaiti & Athanasios Lapatinas, 2023. "Economic complexity and jobs: an empirical analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(1), pages 25-52, January.
    3. Sèna Kimm Gnangnon, 2023. "Do unilateral trade preferences help reduce poverty in beneficiary countries?," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 249-288, February.
    4. Trung V. Vu, 2022. "Does institutional quality foster economic complexity? The fundamental drivers of productive capabilities," Empirical Economics, Springer, vol. 63(3), pages 1571-1604, September.
    5. Sena Kimm Gnangnon, 2022. "Effect of economic complexity on services export diversification: do foreign direct investment inflows matter?," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 21(3), pages 413-437, June.
    6. Filippo Bontadini, 2019. "Trade Specialisation and Performance in Global Value Chains," SPRU Working Paper Series 2019-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    7. Gertjan Dordmond & Heder Carlos Oliveira & Ivair Ramos Silva & Julia Swart, 2021. "The complexity of green job creation: An analysis of green job development in Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 723-746, January.
    8. Stéphane Mbiankeu Nguea & Hervé Kaffo Fotio & Louise Angèle Baida, 2022. "Investigating the effects of globalization on economic sophistication in selected African countries," African Development Review, African Development Bank, vol. 34(3), pages 324-338, September.
    9. Isaac Ketu & Arsene Mouongue Kelly & Jules-Eric Tchapchet Tchouto, 2024. "Does economic complexity reduce the size of the shadow economy in African countries?," SN Business & Economics, Springer, vol. 4(1), pages 1-27, January.
    10. Gnangnon, Sèna Kimm, 2021. "Do Unilateral Trade Preferences Help Reduce Poverty in Beneficiary Countries?," EconStor Preprints 247346, ZBW - Leibniz Information Centre for Economics.
    11. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    12. Alje van Dam & Koen Frenken, 2019. "Variety, Complexity and Economic Development," Papers 1903.07997, arXiv.org.
    13. Diogo Ferraz & Fernanda P. S. Falguera & Enzo B. Mariano & Dominik Hartmann, 2021. "Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    14. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    15. Vu, Trung V., 2020. "Economic complexity and health outcomes: A global perspective," Social Science & Medicine, Elsevier, vol. 265(C).
    16. Sudeshna Ghosh & Buhari Doğan & Muhlis Can & Muhammad Ibrahim Shah & Nicholas Apergis, 2023. "Does economic structure matter for income inequality?," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2507-2527, June.
    17. repec:hal:spmain:info:hdl:2441/1f59r6ssre9eiqb2rso9ui50m2 is not listed on IDEAS
    18. Viktor Stojkoski & Zoran Utkovski & Ljupco Kocarev, 2016. "The Impact of Services on Economic Complexity: Service Sophistication as Route for Economic Growth," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-29, August.
    19. Sèna Kimm Gnangnon, 2024. "The quality of Aid for Trade flows and economic complexity," International Economics and Economic Policy, Springer, vol. 21(4), pages 705-747, October.
    20. Poncet, Sandra & Starosta de Waldemar, Felipe, 2013. "Export Upgrading and Growth: The Prerequisite of Domestic Embeddedness," World Development, Elsevier, vol. 51(C), pages 104-118.

    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:gam:jscscx:v:11:y:2022:i:9:p:384-:d:898770. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.