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


1 Department of Engineering Management and Systems Engineering, Old Dominion University, VA, USA .

2 Systems Realization Laboratory @OU, School of Industrial and Systems Engineer-ing, University of Oklahoma, OK, USA.

3 Faculty of Economics and Social Sciences, Bu-Ali Sina University, Hamedan, Iran.



n 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.



Abolghasemi, M., & Alizadeh, R. (2014). A Bayesian Framework for Strategic Management in The Energy Industry. International Journal of Scientific Engineering and Technology, 3(11), 1360-1366.
Aghion, P., & Howitt, P. (1990). A Model of Growth through Creative Destruction. Retrieved from
Alizadeh, R. (2016). A Combined Model of Scenario Planning and Assumption-Based Planning for Futurology, and Robust Decision Making in the Energy Sector. Quarterly Journal of Energy Policy and Planning Research, 2(2), 7-32.
Alizadeh, R., Lund, P. D., Beynaghi, A., Abolghasemi, M., & Maknoon, R. (2016). An Integrated Scenario-based Robust Planning Approach for Foresight and Strategic Management with Application to Energy Industry. Technological Forecasting and Social Change, 104, 162-171.
Alizadeh, R., Majidpour, M., Maknoon, R., & Kaleibari, S. S. (2016). Clean Development Mechanism in Iran: Does it Need a Revival? International Journal of Global Warming, 10(1-3), 196-215.
Alizadeh, R., Majidpour, M., Maknoon, R., & Salimi, J. (2015). Iranian Energy and Climate Policies Adaptation to the Kyoto Protocol. International Journal of Environmental Research, 9(3), 853-864.
Alizadeh, R., Maknoon, R., Majidpour, M., & Salimi, J. (2015). Energy Policy in Iran and International Commitments for GHG Emission Reduction. Journal of Environmental Science and Technology, 17(1), 183-198.
Armagan, G., & Ozden, A. (2007). Determinations of Total Factor Productivity with Cobb-Douglas Production Function in Agriculture: The case of Aydin-Turkey. Journal of Applied Science, 7(4), 499-502.
Aydin, N., Alrajhi, A. N., & Jouini, J. H. (2018). Estimating The Impact Of R&D Spending On Total Factor Productivity For OECD Countries: Pooled Mean Group Approach. The Journal of Developing Areas, 52(2), 159-168.
Baltagi, B. (2008). Econometric Analysis of Panel Data. New Jersey: John Wiley & Sons.
Barazandeh, B., & Rafieisakhaei, M. (2016). Effect of Localization on the Sustainable Development in Iran's Car Industry. EEE Conference on Technologies for Sustainability (SusTech), Retrieved from
Beynaghi, A., Moztarzadeh, F., Shahmardan, A., Alizadeh, R., Salimi, J., & Mozafari, M. (2016). Makespan Minimization for Batching Work and Rework Process on a Single Facility with an Aging Effect: a Hybrid Meta-heuristic Algorithm for Sustainable Production Management. Journal of Intelligent Manufacturing, 30(1), 1-13.
Braconier, H., & Sjöholm, F. (1998). National and International Spillovers from R&D: Comparing a Neoclassical and an Endogenous Growth Approach. Weltwirtschaftliches Archiv, 134(4), 638-663.
Cheraghali, A. M. (2017). Trends in Iran Pharmaceutical Market. Iranian Journal of Pharmaceutical Research (IJPR), Retrieved from
Crespi, G., & Zuniga, P. (2012). Innovation and Productivity: Evidence from Six Latin American Countries. World Development, 40(2), 273-290.
DiMasi, J. A., Grabowski, H. G., & Hansen, R. W. (2016). Innovation in the Pharmaceutical Industry: New Estimates of R&D Costs. Journal of Health Economics, 47, 20-33.
Douglas, P. H. (1976). The Cobb-Douglas Production Function once Again: Its History, Its Testing, and Some New Empirical Values. Journal of Political Economy, 84(5), 903-915.
Godin, B. (2006). The Knowledge-based Economy: Conceptual Framework or Buzzword? The Journal of Technology Transfer, 31(1), 17-30.
Grossman, G., & Helpman, E. (1991). Innovation and Growth in the Global Economy. Cambridge: Massachusett and London Publication.
Gujarati, D. N., & Porter, D. C. (1999). Essentials of Econometrics (Trans. H. Abrishami). Tehran: University of Tehran Publication.
Hajkova, D., & Hurnik, J. (2007). Cobb-Douglas Production Function: The Case of a Converging Economy. Czech Journal of Economics and Finance (Finance a uver), 57(9-10), 465-476.
Hatzichronoglou, T. (1997). Revision of the High-technology Sector and Product Classification. Retrieved from
Hsiao, C. (1981). Autoregressive Modelling and Money-income Causality Detection. Journal of Monetary Economics, 7(1), 85-106.
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for Unit Roots in Heterogeneous Panels. Journal of Econometrics, 115(1), 53-74.
Inekwe, J. N. (2015). The Contribution of R&D Expenditure to Economic Growth in Developing Economies. Social Indicators Research, 124(3), 727-745.
Jones, C., Takesm, M. S., & Spence, M. (1998). Introduction to Economic Growth (2nd Ed.). Science, 334, 906-912.
Kaleibari, S. S., Beiragh, R. G., Alizadeh, R., & Solimanpur, M. (2016). A Framework for Performance Evaluation of Energy Supply Chain by a Compatible Network Data Envelopment Analysis Model. Scientia Iranica, Transaction, Industrial Engineering, 23(4), 1904-1917.
Lall, S. (2000). The Technological Structure and Performance of Developing Country Manufactured Exports, 1985‐1998. Oxford Development Studies, 28(3), 337-369.
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit Root Tests in Panel Data: Asymptotic and Finite-sample Properties. Journal of Econometrics, 108(1), 1-24.
Liu, T. K., Chen, J. R., Huang, C. C., & Yang, C. H. (2013). E-commerce, R&D, and Productivity: Firm-level Evidence from Taiwan. Information Economics and Policy, 25(4), 272-283.
Liu, X., & Buck, T. (2007). Innovation Performance and Channels for International Technology Spillovers: Evidence from Chinese High-tech Industries. Research Policy, 36(3), 355-366.
López-Pueyo, C., Barcenilla-Visús, S., & Sanaú, J. (2008). International R&D Spillovers and Manufacturing Productivity: A Panel Data Analysis. Structural Change and Economic Dynamics, 19(2), 152-172.
Mehregan, N., Dehghanpour, M. R., & Dehmobad, B. (2011). Industrial Exports Based on High Technology and Its Deterministic Factors. Journal of Science and Technology, 3(4), 69-83.
Mehregan, N., & Soltanisehat, L. (2014). Identified the Impact of Different Factors on TFP Growth in Iran’s Industry. Journal of The Macro and Srategic Policies, 2(5), 1-24.
Nagano, M. (2006). R&D Investment and the Government's R&D Policies of Electronics Industries in Korea and Taiwan. Journal of Asian Economics, 17(4), 653-666.
OECD. (2011). Technology Intensity Definition, Classification of Manufacturing Industries into Categories Based on R&D Intensities. Retrieved from
Parham, D. (2009). Empirical Analysis of the Effects of R&D on Productivity. Productivity Measurement and Analysis, Retrieved from
Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5), S71-S102.
Shahnazi, R. (2012). Deterministic Factors Impact on High-tech Industries' Production in the Knowledge-based Economy; Panel Data GLS Method. Journal of Science and Technology Parks & Incubators, 9(33), 2-12.
Solow, R. M. (1956). A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics, 70(1), 65-94.
Sterlacchini, A., & Venturini, F. (2014). R&D and Productivity in High-tech Manufacturing: A Comparison between Italy and Spain. Industry and Innovation, 21(5), 359-379.
Vaez, M., Tayyebi, S. K., & Ghanbari, A. (2007). The Impacts of R&D Costs on High-Tech Industries' Value Added. Journal of Quantitative Economics, 4(4), 53-73.
Vafaei, M., Shakeri, F., & Owlia, M. S. (2011). Study of Innovativeness Factors in the Iranian Automotive Industry. International Conference of Industrial Engineering and Operation Managements, Retrieved from
Zaranejad, M., & Anvari, E. (2005). The Implication of Panel Data in Econometrics. Journal of Quantitative Economics, 2(4), 21-52.