IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2023y2023i5id1398p591-618.html
   My bibliography  Save this article

Searching for Growth-conducive Institutions in Emerging Economies: A Stochastic Frontier Analysis

Author

Listed:
  • Woon Kan Yap
  • Jenny Gryzelius
  • Andrew Tek Wei Saw

Abstract

This study aims to identify growth-conducive institutions unique to emerging economies. For that purpose, we examine the roles of Anglo-American institutions in fostering total factor productivity growth through the improvement of technical efficiency in emerging economies. Specifically, the impacts of the liberalistic and paternalistic types of regulatory institutions are discerned. The results show that institutional qualities such as reverence for the rule of law and effective governments robustly promote total factor productivity by improving technical efficiency, while voices of citizens and political stability exhibit a symbiotic relationship, where the efficacy of one of these qualities requires the sufficient prevalence of another. Regarding regulatory institutions, we found evidence that calls for protectionist policies to foster innovation, which is the key driver of technical efficiency.

Suggested Citation

  • Woon Kan Yap & Jenny Gryzelius & Andrew Tek Wei Saw, 2023. "Searching for Growth-conducive Institutions in Emerging Economies: A Stochastic Frontier Analysis," Politická ekonomie, Prague University of Economics and Business, vol. 2023(5), pages 591-618.
  • Handle: RePEc:prg:jnlpol:v:2023:y:2023:i:5:id:1398:p:591-618
    DOI: 10.18267/j.polek.1398
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1398.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.1398.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.1398?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nishimizu, Mieko & Page, John M, Jr, 1982. "Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965-78," Economic Journal, Royal Economic Society, vol. 92(368), pages 920-936, December.
    2. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    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. Ceha, Rakhmat & Ohta, Hiroshi, 2000. "Productivity change model in the airline industry: A parametric approach," European Journal of Operational Research, Elsevier, vol. 121(3), pages 641-655, March.
    2. Pinheiro, Armando Castelar, 1995. "Technological progress and diffusion in Brazilian manufacturing," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 49(1), January.
    3. Y. Wu, 1997. "Productivity & Efficiency: Evidence from the Chinese regional economies," Economics Discussion / Working Papers 97-18, The University of Western Australia, Department of Economics.
    4. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    5. Wu, Yanrui, 2000. "Is China's economic growth sustainable? A productivity analysis," China Economic Review, Elsevier, vol. 11(3), pages 278-296.
    6. Williams, Jonathan & Nguyen, Nghia, 2005. "Financial liberalisation, crisis, and restructuring: A comparative study of bank performance and bank governance in South East Asia," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2119-2154, August.
    7. Bravo-Ureta, Boris E. & Njuki, Eric & Palacios, Ana Claudia & Salazar, Lina, 2022. "Agricultural Productivity in El Salvador: A Preliminary Analysis," IDB Publications (Working Papers) 11984, Inter-American Development Bank.
    8. Young Bong Chang & Vijay Gurbaxani, 2013. "An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition," Information Systems Research, INFORMS, vol. 24(3), pages 561-578, September.
    9. repec:lan:wpaper:1031 is not listed on IDEAS
    10. Marzec, Jerzy & Pisulewski, Andrzej, 2019. "The Measurement of Time Varying Technical Efficiency and Productivity Change in Polish Crop Farms," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(1), March.
    11. Christos Pantzios & Giannis Karagiannis & Vangelis Tzouvelekas, 2011. "Parametric decomposition of the input-oriented Malmquist productivity index: with an application to Greek aquaculture," Journal of Productivity Analysis, Springer, vol. 36(1), pages 21-31, August.
    12. Giannis Karagiannis, 2005. "Explaining output growth with a heteroscedastic non-neutral production frontier: the case of sheep farms in Greece," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 51-74, March.
    13. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    14. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    15. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    16. Rawat, Pankaj S. & Sharma, Seema, 2021. "TFP growth, technical efficiency and catch-up dynamics: Evidence from Indian manufacturing," Economic Modelling, Elsevier, vol. 103(C).
    17. repec:lan:wpaper:1109 is not listed on IDEAS
    18. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    19. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    20. Oh Sang Kwon & Hyunok Lee, 2004. "Productivity improvement in Korean rice farming: parametric and non‐parametric analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(2), pages 323-346, June.
    21. E Thanassoulis & M Kortelainen & G Johnes & J Johnes, 2011. "Costs and efficiency of higher education institutions in England: a DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1282-1297, July.
    22. Munir Ahmad & Boris E. Bravo-Ureta, 1995. "An Econometric Decomposition of Dairy Output Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 914-921.

    More about this item

    Keywords

    Institutional quality; total factor productivity; technical efficiency; stochastic frontier analysis; strategic niche management;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    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:prg:jnlpol:v:2023:y:2023:i:5:id:1398:p:591-618. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.