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Local growth and access to credit: Theory and evidence

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  • Diallo, Boubacar
  • Al-Titi, Omar

Abstract

We theoretically and empirically investigate the effects of access to credit on local growth using a Schumpeterian growth model and assuming monopolistic competition between differentiated products of the banking system. We show that access to credit exerts a positive effect on local economic growth. To validate the theoretical prediction we use data on firms and bank branches from 18 emerging European economies.

Suggested Citation

  • Diallo, Boubacar & Al-Titi, Omar, 2017. "Local growth and access to credit: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 410-423.
  • Handle: RePEc:eee:jmacro:v:54:y:2017:i:pb:p:410-423
    DOI: 10.1016/j.jmacro.2017.07.005
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    References listed on IDEAS

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    1. Howitt, Peter & Mayer-Foulkes, David, 2005. "R&D, Implementation, and Stagnation: A Schumpeterian Theory of Convergence Clubs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(1), pages 147-177, February.
    2. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    3. Abdul Abiad & Enrica Detragiache & Thierry Tressel, 2010. "A New Database of Financial Reforms," IMF Staff Papers, Palgrave Macmillan, vol. 57(2), pages 281-302, June.
    4. Philippe Aghion & Peter Howitt & David Mayer-Foulkes, 2005. "The Effect of Financial Development on Convergence: Theory and Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 173-222.
    5. Xavier Freixas & Jean-Charles Rochet, 2008. "Microeconomics of Banking, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262062704, December.
    6. Thorsten Beck & Asli Demirgüç‐Kunt & Vojislav Maksimovic, 2005. "Financial and Legal Constraints to Growth: Does Firm Size Matter?," Journal of Finance, American Finance Association, vol. 60(1), pages 137-177, February.
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    Cited by:

    1. Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    2. Huan Zhou & Shaojian Qu & Qinglu Yuan & Shilei Wang, 2020. "Spatial Effects and Nonlinear Analysis of Energy Consumption, Financial Development, and Economic Growth in China," Energies, MDPI, vol. 13(18), pages 1-18, September.
    3. Zaineb Hlioui & Mohamed Gabsi & Abdelwahed Omri, 2022. "Informal Competition Effect on SMEs’ Innovation: Do Credit Constraints Matter? Evidence from Eastern European Countries," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    4. Bahadir Karakoç, 2023. "Working Capital Management and Performance in Financially Dependent Firms: Evidence from Developing Asian Economies," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 37-55.

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    More about this item

    Keywords

    Schumpeterian growth; Access to credit; Monopolistic competition; Eastern europe;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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