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Research and Development Investment and Productivity Growth in Firms with Different Levels of Technology

Author

Listed:
  • Leili Soltanisehat

    (Department of Industrial Engineering, Bu-Ali Sina University, Hamedan, Iran.)

  • Reza Alizadeh

    (Technology Foresight Group, Department of Management, Science and Technology, Amirkabir University of Technology, Tehran, Iran.)

  • Nader Mehregan

    (Faculty of Economics, Bu-Ali Sina University, Hamedan, Iran.)

Abstract

In the modern competitive world, Research and Development (R&D) and its overflowing technologies are the main basis of innovation, which in turn, can be determined as an important source of economic growth. Investing in research activities can help firms with different technological levels, especially high-tech industries to improve their productivity. This paper aims to analyze the role of R&D expenditures in total factor productivity (TFP) growth in Iran’s industry sector. For this purpose, data from industries with different levels of technology (high, medium and low) over the period 1994-2010 is used. Results show that R&D expenditures in high-tech and then in medium/high-tech industries have the most positive and significant effect on TFP growth. In addition, among high-tech industries, R&D expenditures have the greatest impact on the productivity growth in drug and chemical industries related to medicine (Code 2423) which has experienced significant progress in recent years.

Suggested Citation

  • Leili Soltanisehat & Reza Alizadeh & Nader Mehregan, 2019. "Research and Development Investment and Productivity Growth in Firms with Different Levels of Technology," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(4), pages 795-818, Autumn.
    • Handle: RePEc:eut:journl:v:23:y:2019:i:4:p:795
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    Citations

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    Cited by:

    1. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    2. Suzer, Ahmet Esat & Atasoy, Vehbi Emrah & Ekici, Selcuk, 2021. "Developing a holistic simulation approach for parametric techno-economic analysis of wind energy," Energy Policy, Elsevier, vol. 149(C).
    3. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    4. Ramin Gharizadeh Beiragh & Reza Alizadeh & Saeid Shafiei Kaleibari & Fausto Cavallaro & Sarfaraz Hashemkhani Zolfani & Romualdas Bausys & Abbas Mardani, 2020. "An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    5. Ali M. H. A. Khajah & Simon P. Philbin, 2022. "Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait," Clean Technol., MDPI, vol. 4(1), pages 1-21, January.

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