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Financial development and productive inefficiency: A robust conditional directional distance function approach

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  • Mallick, Sushanta
  • Matousek, Roman
  • Tzeremes, Nickolaos G.

Abstract

This paper examines whether the level of financial development helps lower countries’ inefficiency using time-dependent robust conditional directional distance functions in a sample of 91 countries over 1970–2011. The overall results reveal that the effect of financial development on countries’ productive inefficiency is highly nonlinear, and depends on countries’ income levels, suggesting that higher levels of financial development are enhancing more countries’ catching-up ability rather than their technological change.

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  • Mallick, Sushanta & Matousek, Roman & Tzeremes, Nickolaos G., 2016. "Financial development and productive inefficiency: A robust conditional directional distance function approach," Economics Letters, Elsevier, vol. 145(C), pages 196-201.
    • Handle: RePEc:eee:ecolet:v:145:y:2016:i:c:p:196-201
    DOI: 10.1016/j.econlet.2016.06.019
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    Cited by:

    1. Nickolaos G. Tzeremes, 2018. "Financial Development and Countries’ Production Efficiency: A Nonparametric Analysis," JRFM, MDPI, vol. 11(3), pages 1-13, August.
    2. Camilla Mastromarco & Léopold Simar, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," Journal of Productivity Analysis, Springer, vol. 55(2), pages 71-89, April.
    3. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
    4. Gearhart, Richard S. & Michieka, Nyakundi M., 2018. "A comparison of the robust conditional order-m estimation and two stage DEA in measuring healthcare efficiency among California counties," Economic Modelling, Elsevier, vol. 73(C), pages 395-406.
    5. Mastromarco, Camilla & Simar, Léopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," Economic Modelling, Elsevier, vol. 69(C), pages 134-149.
    6. Chletsos, Michael & Sintos, Andreas, 2021. "The effect of financial fragility on employment," Economic Modelling, Elsevier, vol. 94(C), pages 104-120.
    7. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    8. Nickolaos G. Tzeremes, 2019. "Technological change, technological catch-up and export orientation: evidence from Latin American Countries," Journal of Productivity Analysis, Springer, vol. 52(1), pages 85-100, December.
    9. Cinzia Daraio & Léopold Simar & Paul W. Wilson, 2020. "Fast and efficient computation of directional distance estimators," Annals of Operations Research, Springer, vol. 288(2), pages 805-835, May.
    10. Jose M. Cordero & Francisco Pedraja-Chaparro & Elsa C. Pisaflores & Cristina Polo, 2017. "Efficiency assessment of Portuguese municipalities using a conditional nonparametric approach," Journal of Productivity Analysis, Springer, vol. 48(1), pages 1-24, August.
    11. Gu, Yanwei & Guo, Jing & Liang, Xiao & Zhao, Yajun, 2022. "Does the debt-growth link differ across private and public debt? Evidence from China," Economic Modelling, Elsevier, vol. 114(C).
    12. Sushanta Mallick & Aarti Rughoo & Nickolaos G. Tzeremes & Wei Xu, 2020. "Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 217-237, June.
    13. Zhang, Dongyang & Guo, Yumei, 2019. "Financing R&D in Chinese private firms: Business associations or political connection?," Economic Modelling, Elsevier, vol. 79(C), pages 247-261.
    14. Lim, Taejun, 2018. "Growth, financial development, and housing booms," Economic Modelling, Elsevier, vol. 69(C), pages 91-102.

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    More about this item

    Keywords

    Financial development; Technological change; Technological catch-up; Productive inefficiencies; Robust directional distance functions;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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