Investigating the productivity growth of production factors in the agricultural sector of Kohgiluyeh and Boyer Ahmad Province

Document Type : Original Article

Authors

1 M.Sc. Student of Rural Development, Department of Rural Development Management, Faculty of Agriculture, Yasouj University, Yasouj, Iran

2 Associate Professor of agricultural economics, Department of Rural Development Management, Faculty of Agriculture, Yasouj University,

3 Associate Professor of Agricultural Extension & Education, Department of Rural Development Management, Faculty of Agriculture, Yasouj University, Yasouj, Iran

10.30490/aead.2024.362499.1524

Abstract

Production growth is more effective through factors that increase production in the framework of existing technology and by using more advanced and efficient methods of production and use of production factors. In the second method, which is tied to the concept of using new technologies, the use of these technologies will lead to an increase in the productivity of production factors, increasing productivity in the main socio-economic and political phenomena, society such as reducing inflation, improving the level of general welfare, increasing the level of employment and the abilities of political competition has a wide impact, thus accurate measurement and analysis of efficiency, the use of new technologies on Agricultural sector and its effect on total factor productivity in this sector is necessary and in recent years has been considered by different researchers.The main purpose of this research was to use the non-parametric method, data envelopment analysis and use the Malmquist index to calculate productivity growth in the agricultural sector of Kohgiluyeh and Boyer Ahmad provinces.To achieve this goal, the time series statistics published by the Central Bank of Iran Statistics Center, Information Technology Center of the Ministry of Agricultural Jihad and Agricultural Jihad Zoning System during the years 2006-2020 have been used. Data analysis was done using DEAP 2.1 statistical software and descriptive and inferential statistics.The results of this research showed that all changes in productivity during the 15 year period under review are due to technological changes.

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