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The Role of Agricultural Sector Productivity in Economic Growth: The Case of Iran's Economic Development Plan

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  • Morteza Tahamipour
  • Mina Mahmoudi

Abstract

This study provides the theoretical framework and empirical model for productivity growth evaluations in agricultural sector as one of the most important sectors in Iran's economic development plan. We use the Solow residual model to measure the productivity growth share in the value-added growth of the agricultural sector. Our time series data includes value-added per worker, employment, and capital in this sector. The results show that the average total factor productivity growth rate in the agricultural sector is -0.72% during 1991-2010. Also, during this period, the share of total factor productivity growth in the value-added growth is -19.6%, while it has been forecasted to be 33.8% in the fourth development plan. Considering the effective role of capital in the agricultural low productivity, we suggest applying productivity management plans (especially in regards of capital productivity) to achieve future growth goals.

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  • Morteza Tahamipour & Mina Mahmoudi, 2018. "The Role of Agricultural Sector Productivity in Economic Growth: The Case of Iran's Economic Development Plan," Papers 1806.04235, arXiv.org.
    • Handle: RePEc:arx:papers:1806.04235
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    1. Solow, Robert M, 1988. "Growth Theory and After," American Economic Review, American Economic Association, vol. 78(3), pages 307-317, June.
    2. Diewert, W E, 1992. "The Measurement of Productivity," Bulletin of Economic Research, Wiley Blackwell, vol. 44(3), pages 163-198, July.
    3. Peter Mawson & Kenneth I Carlaw & Nathan McLellan, 2003. "Productivity Measurement: Alternative Approaches and Estimates," Treasury Working Paper Series 03/12, New Zealand Treasury.
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    2. Moh’d, Shamis Said & Ozgur, Ceyhun & Mohd, Mohd Yaziz & Khalfan, Mohamed Hafidh, 2021. "The Combined Effects of Managerial and Operational Performance of Various Fundamental Components on Stock Selection," OSF Preprints mqh46, Center for Open Science.

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