Estimating Agricultural Production Function in Syria using Autoregressive Distributed Lag Approach) ARDL(

Document Type : Original Article

Authors

1 statistics, economics, at Tishreen University, Lattakia, Syria

2 economics, economics, at Tishreen University, Lattakia, Syria.

3 statics, economics, Tishreen University, Lattakia, Syria.

Abstract

Agricultural production is one of the main pillars of the  of the Syrian economy development, and despite this importance it suffers from many difficulties, the most important of which is the poor investment of economic resources in agriculture .Therefore, this study aims to estimate the agricultural production function in Syria for the period between 1987 and 2017, using the Cobb-Douglas function, and applying the Autoregressive Distributed lag (ARDL) approach to estimate the responding of agricultural production in real value to changes in agricultural production factors (fixed capital - requirements - employment ), to reach a set of results that can help increasing agricultural productivity to achieve the required level of production can support Syrian economy development within the optimal use of limited resources, and the most important results: There is cointegration between agriculture production and its factors, fixed capital is the most productive factor, while productivity of equipment and labor are close and less than fixed capital, agriculture productivity function in Syria follows the law of increasing yield in the long-term which means each increase in production factors causes a higher increase in the real value of agricultural production in the estimated model.

Keywords

Journal of Agricultural Economics and Social Sciences
Volume 11, Issue 12
December 2020
Pages 1083-1089

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