International Business Management
ISSN: OnlineISSN: Print 1993-5250
Abstract
The purpose to study the impact of government’s performance on agricultural productivity in Iran. The information regarding agricultural sector in the time period 2010-2012 is analyzed in order to test the relationship between the variables and examine the research hypotheses. The collected data is measured in MS Office Excel Software and analyzed using Eviews Software Ver.6. The coefficient of determination equals 0.810, which means 81% of variation in dependent variable can be explained by independent variables. The value of Durbin-Watson statistic is 2.25; the values close to 2 indicate lack of autocorrelation which is a prerequisite for regression analysis (hence, there is no autocorrelation between residuals). The value of t-statistic is 5.9 for GII (positive and significant), 3.4 for AGKL (positive and significant), 15.21 for AGLP (positive and significant), 7.49 for GOVEFF (positive and significant), 6.77 for REGQUA (positive and significant) and 0.47 for EDU (insignificant). The value of t-statistic for the intercept is 0.440 which at the 95% confidence level confirms the null hypothesis; therefore the intercept in not significan (Indices: agriculture capital equity, agricultural workforce productivity, total agricultural production, government effectiveness, political stability, regulation quality, government infrastructure; the index of education has a negative impact on agricultural productivity in Iran).
How to cite this article:
Davood Safaei Laghab. Investigating the Impact of Government’s Performance on
Agricultural Productivity in Iran.
DOI: https://doi.org/10.36478/ibm.2016.4511.4515
URL: https://www.makhillpublications.co/view-article/1993-5250/ibm.2016.4511.4515