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Exploring The Determinants Of R&D Investment In The Asian Context Before And After Covid19

Author

Listed:
  • Sahar Loukil

    (Department of Finance, University of Sfax, ARTIGE,Tunisia,)

  • Souhaila Kammoun

    (Department of Economics, IHEC, CODECI, University of Sfax, Tunisia)

  • Youssra Ben Romdhane

    (Department of Economics, University of Sfax, LED, Tunisia)

Abstract

The article aims to study the mechanisms underlying the development of research and development (R&D) through investment in renewable energies and in ICTs before and after the Covid19 pandemic. First, we perform a dynamic panel regression through panel data from 2000 to 2019 for 14 Asian countries. In addition to economic and environmental determinants, the empirical study reveals that variables linked to intellectual property are the drivers of R&D investment in the Asian region. It is interesting to note that while brand requests stimulate R&D, industrial applications hamper this type of investment. Second, we provide an OLS regression of 38 Asian countries to analyze the effect of Covid-19 on research and development. Our empirical results encourage governments to invest more in renewable energies not only to reduce the greenhouse effect, but also to increase investment in R&D. In addition, policymakers are urged to apply more incentives to expand the export of ICT in both services and products.

Suggested Citation

  • Sahar Loukil & Souhaila Kammoun & Youssra Ben Romdhane, 2022. "Exploring The Determinants Of R&D Investment In The Asian Context Before And After Covid19," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 7(1), pages 30-44, March.
    • Handle: RePEc:ora:jrojbe:v:7:y:2022:i:1:p:30-44
    DOI: http://doi.org/10.47535/1991ojbe136
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    References listed on IDEAS

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    1. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    2. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
    4. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    Dynamic panel regression; research and development; pollution exposure; renewable energy; ICT export.;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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