alireza karbasi; Seyed Mohammad Fahimi Fard; Hamid Reza Jahany
Volume 16, Issue 46 , April 2011, , Pages 97-113
Abstract
Rural inhabitants’ perception of better life changes when observing the success of other people, and hope to emulate their success. They know that University degree can lead to a higher expected income. In fact urbanism has some benefits but the costs (pollution, congestion, and crime) are also ...
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Rural inhabitants’ perception of better life changes when observing the success of other people, and hope to emulate their success. They know that University degree can lead to a higher expected income. In fact urbanism has some benefits but the costs (pollution, congestion, and crime) are also pervasive in developing countries. In order to better understand the problem, and examine policy measures for controlling its negative externalities, it is of importance to study and analyze the factors which may affect migration. Therefore, in this study we investigated this important issue with emphasis on the effect of rural literacy level on rural-urban migration by using an Auto-Regressive Distributed Lag (ARDL) model utilizing time-series data related to the years 1959-2005 in Iran. Results indicate that in long term, rural literacy level has the most effect on this function. It was also found that, 1% increase in rural wage, urban wage, rural value added and rural literacy level can cause 0.25% decrease, 0.32% increase, 0.16% decrease and 0.32% increase in migrant’s number, respectively.
alireza karbasi; Hamideh Khaksar Astaneh
Volume 5, Issue 15 , July 2003, , Pages 19-35
Abstract
The first objective of this study is to understand the interaction between the industrial and agricultural sectors of Iran, and the second is to evaluate the relationship between tomato production, and the GDP industrial growth. It uses a simultaneous analysis of the impact of agricultural and industrial ...
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The first objective of this study is to understand the interaction between the industrial and agricultural sectors of Iran, and the second is to evaluate the relationship between tomato production, and the GDP industrial growth. It uses a simultaneous analysis of the impact of agricultural and industrial GDP on one another.The data were collected from PDS information bank and FAO and cover the period 1978-2000. Estimation was done by the ordinary least squares (OLS) method and two-stage least squares (2SLS).Results show that these sectors are complementary to each other, but agriculture tends to benefit more from industrial growth. Also, the results indicate that the tomato production can be affected by industrial growth, but the tomato production coefficient is small in tomato - dependent GDP industrial equation, meaning that tomato production has little impact on industrial growth.