Mehdi Shabanzadeh; Reza Esfanjari Kenari; Parinaz Jansouz; Mohammad Kavoosi Kalashami
Volume 6, Issue 1 , March 2016, , Pages 101-108
Abstract
This study were examined relationship between bank credits and investment growth of agricultural sector in Iran during the period of 1982-2011 by auto regressive distribution lag bounds test approach. Basically, the growth investing of the agricultural sector in Iran is related to oil revenues, bank ...
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This study were examined relationship between bank credits and investment growth of agricultural sector in Iran during the period of 1982-2011 by auto regressive distribution lag bounds test approach. Basically, the growth investing of the agricultural sector in Iran is related to oil revenues, bank credits, value added of agriculture sector and capital stock. The results confirm the existence of a long-run relationship between variables in model. In addition, according to the results, bank credit is the most significant variable in explaining the growth investing, so that increases access to it will encourage growth investment of the agricultural sector in Iran. The estimations show that elasticity of bank credits, oil revenues, stock investment and value added are 0.103, 0.015, 0.049 and -0.058 in the agricultural sector respectively.
Zakiyeh Sadeghi; Mojtaba Nikzad; Mojtaba Bagheri Todsheki
Volume 4, Issue 3 , September 2014, , Pages 227-235
Abstract
In this study, considering the importance of incremental capital output ratio (ICOR) in agriculture Investment capital and self-sufficiency in this sector in order to grow and being influenced by the past and previous relationships strong agricultural sector productivity growth in other sectors of the ...
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In this study, considering the importance of incremental capital output ratio (ICOR) in agriculture Investment capital and self-sufficiency in this sector in order to grow and being influenced by the past and previous relationships strong agricultural sector productivity growth in other sectors of the economy, especially the effect of oil revenues, was trying to, long-term relationships as well as their adjustment process described by the Autoregressive-Distributed Lag model (ARDL) to investigate.The results also confirm the long-run relationship between the variables of the model show that oil revenues in appropriate path to growth agricultural productivity have beentoo much attention to the industry and imports of agricultural products decreased investment in agricultural productivity.However,the service sector growth by improving marketing activities and financing farmers to improve venture capital productivity in the agricultural sector operates. In the long run, adjusting the intersection, the model indicates improved productivity in the agricultural sector is of capital. Shown the necessary support to the agricultural sector in the short term.
