IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/23035.html
   My bibliography  Save this paper

Strategic management in public procurement: The role of dynamic capabilities in equity and efficiency

Author

Listed:
  • Cappelletti, Matilde
  • Giuffrida, Leonardo M.
  • Heaton, Sohvi
  • Siegel, Donald S.

Abstract

A key issue in strategic management in the public sector is how government creates economic and social value through procurement. Unfortunately, most procurement studies are based on contract theories, which fail to incorporate the growing role of strategic management in performance. We fill this gap by analyzing longitudinal data on contracting to assess the equity and efficiency effects of a form of affirmative action used by governments: set-aside programs. Employing a machine learning-augmented propensity score weighting approach, we find that set-aside contracts are negatively associated with contract performance. These effects are attenuated by an agency's dynamic capabilities and the extent to which the agency uses more competitive procedures. Our findings illustrate how the dynamic capabilities of a federal agency can simultaneously enhance equity and efficiency.

Suggested Citation

  • Cappelletti, Matilde & Giuffrida, Leonardo M. & Heaton, Sohvi & Siegel, Donald S., 2023. "Strategic management in public procurement: The role of dynamic capabilities in equity and efficiency," ZEW Discussion Papers 23-035, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:23035
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/277729/1/1859499201.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    2. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    Full references (including those not matched with items on IDEAS)

    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. Burger, Anže & Hogan, Teresa & Kotnik, Patricia & Rao, Sandeep & Sakinç, Mustafa Erdem, 2023. "Does acquisition lead to the growth of high-tech scale-ups? Evidence from Europe," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    3. Baron, Opher & Callen, Jeffrey L. & Segal, Dan, 2023. "Does the bullwhip matter economically? A cross-sectional firm-level analysis," International Journal of Production Economics, Elsevier, vol. 259(C).
    4. Chong Lu, 2022. "The effect of migration on rural residents’ intergenerational subjective social status mobility in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3279-3308, October.
    5. K. Poehlmann & R. Helm & O. Mauroner & J. Auburger, 2021. "Corporate spin-offs’ success factors: management lessons from a comparative empirical analysis with research-based spin-offs," Review of Managerial Science, Springer, vol. 15(6), pages 1767-1796, August.
    6. Garbero, Alessandra & Songsermsawas, Tisorn, 2016. "Impact of modern irrigation on household production and welfare outcomes: Evidence from the PASIDP project in Ethiopia," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235949, Agricultural and Applied Economics Association.
    7. Manuel S. González Canché, 2017. "Financial Benefits of Rapid Student Loan Repayment: An Analytic Framework Employing Two Decades of Data," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 154-182, May.
    8. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    9. Ashok K. Mishra & Anjani Kumar & Pramod K. Joshi & Alwin D'Souza, 2018. "Cooperatives, contract farming, and farm size: The case of tomato producers in Nepal," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 865-886, October.
    10. Naureen Fatema & Shahriar Kibriya, 2018. "Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing on low intensity interhousehold and community conflict in Eastern Democratic Republic of Congo," HiCN Working Papers 267, Households in Conflict Network.
    11. Paudel, G. & Krishna, V. & McDonald, A., 2018. "Why some inferior technologies succeed? Examining the diffusion and impacts of rotavator tillage in Nepal Terai," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277149, International Association of Agricultural Economists.
    12. Dettmann, Eva & Giebler, Alexander & Weyh, Antje, 2019. "flexpaneldid: A Stata command for causal analysis with varying treatment time and duration," IWH Discussion Papers 5/2019, Halle Institute for Economic Research (IWH).
    13. Robert J. R. Elliott & Liza Jabbour & Liyun Zhang, 2016. "Firm productivity and importing: Evidence from Chinese manufacturing firms," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 1086-1124, August.
    14. Jianxin Guo & Songqing Jin & Lei Chen & Jichun Zhao, 2018. "Impacts of Distance Education on Agricultural Performance and Household Income: Micro-Evidence from Peri-Urban Districts in Beijing," Sustainability, MDPI, vol. 10(11), pages 1-19, October.
    15. Simone Bertoli & Francesca Marchetta, 2014. "Migration, Remittances and Poverty in Ecuador," Journal of Development Studies, Taylor & Francis Journals, vol. 50(8), pages 1067-1089, August.
    16. Backiny Yetna, Prosper Romuald, 2013. "Politiques publiques et pauvreté : trois études de cas d'évaluation des performances de ciblage et d'analyse d'impact," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/11794 edited by De Vreyer, Philippe.
    17. Gwenolé Le Velly & Céline Dutilly, 2016. "Evaluating Payments for Environmental Services: Methodological Challenges," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-20, February.
    18. Jun Hyung Kim & Yu Kyung Koh & Jinseong Park, 2023. "Mental Health Consequences of Working from Home during the Pandemic," Global Economic Review, Taylor & Francis Journals, vol. 52(1), pages 18-50, January.
    19. Fatema, Naureen & Kibriya, Shahriar, 2017. "Givers of great dinners know few enemies: The impact of household food security on micro-level communal conflict in Eastern Democratic Republic of Congo," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258482, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Dynamic capabilities; resource-based view; public procurement; machine learning; random forest;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:zewdip:23035. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.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.