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 AS  Vol.9 No.8 , August 2018
Assessment of Factors That Affect the Performance of Agricultural Production, in the Case of Amhara Region, Ethiopia
Abstract: The agricultural sector is the basis of livelihood for a large proportion of society in Ethiopia. In the three political regimes in modern Ethiopia, the Imperial, the military and the Ethiopian people revolutionary democratic front (EPRDF), agriculture has been regarded as a critical sector. The Agricultural Development Led Industrialization (ADLI) is the national policy of the country. Regardless of the government policy attention and investment, there is a long way to go for smallholders to ensure food self-sufficiency. Agriculture is the base of our food, transformation to industrialization, climatic change control system. Agriculture is the soul of our sovereignty for development as well as poverty reduction for individuals and country level. In Ethiopia, population density is high and has been increasing and agricultural land has been decreasing because of fragmenting or converting it into residential plots. To meet the domestic food requirements, use of improved production technologies developed by research is come out to be important. Therefore, the goal of this study was to analyze factors that affect the performance of agricultural products in Amahara region national state and to determine the highly significant input factors for producing high and qualified agricultural outputs. Data regarding total agricultural outputs and its input factors in study area of Amahara region from 2010 to 2018 was obtained from Amhara national state branch of the Ethiopian institute of agricultural sector. Correlation analyses were used to examine the strength of the relationship between each of the determinant factors with total agricultural output, while multiple regression analysis was employed to examine the simultaneous effects of several independent variables on the dependent variable, total agricultural outputs. These analyses were employed through the packages R and Stata to achieve the main objectives of the study. All of the independent variables were highly correlated with the total agricultural output. The overall regression model was highly significant (p-value < 0.01) with F = 45.532. The R-squared value implies that 93.8% percent of the changes in average total agricultural outputs are successfully explained by the variables used in the model of this study. If we take model size into account, 91.8% percent of the variation in average total agricultural output was explained by the values of the independent variables. Specifically, among the independent variables irrigated land, fertilizer, improved seed and pesticides are the most significant factors for total products (p-value < 0.05).
Cite this paper: Zeru, M. (2018) Assessment of Factors That Affect the Performance of Agricultural Production, in the Case of Amhara Region, Ethiopia. Agricultural Sciences, 9, 1058-1069. doi: 10.4236/as.2018.98073.
References

[1]   Lefort, R. (2012) Free Market Economy, Developmental State and Part State Hegemony in Ethiopia: The Case of the Model Farmer. Journal of Modern African Studies, 50, 681-706.

[2]   Centeral Statistical Autority (2007) Crop Production Sample Survey Statistics Bulletin.

[3]   Centeral Statistical Autority (2008) Summary and Statistical Report of the 2007 Population and Housing Census: Population Size by Age and Sex. UNFPA, Addis Ababa, Ethiopia.

[4]   Barrios, S., Strobl, E. and Ouattara, B. (2008) The Impact of Climatic Change on Agricultural Production: Is It Different for Africa. Food Policy, 33, 287-298.
https://doi.org/10.1016/j.foodpol.2008.01.003

[5]   MoFED (2012) Sustainable Development and Poverty Reduction Program. Addis Ababa, Ethipia.

[6]   Tadaro, M. (1995) Economic Development. 5th Edition, New York University, Singapore.

[7]   World Bank (1996) From Plan to Market—Executive Summary (Russian). World Development Report, World Bank Group, Washington DC.

[8]   Minsrty of Planining and Economic Development (1998) Trends on Development and Annual Report on Macroeconomic Development in Ethiopia.

[9]   Hussain, I. and Hanjra, M.A. (2004) Irrigation and Poverty Alleviation: Review of the Empirical Evidence. Irrigation and Drainage, 53, 1-15.
https://doi.org/10.1002/ird.114

[10]   Echer and Staatz (1998) International Agricultural Development. 3rd Edition, The Johns Hopkins University Press, Baltimore.

[11]   Todaro, M. (2000) Economic Development. 7th Edition, Addison Wesley Inc., England.

[12]   Liebenstcin, H. (1996) Allocative Efficiency vs. X-Efficiency. American EcOM.

[13]   Carter, M. (1984) Issues in the Hidden Economy—A Survey. Economic Record, 60, 209-221.
https://doi.org/10.1111/j.1475-4932.1984.tb00856.x

[14]   Hair, J. and Anderson, R. (1995) Multivariate Data Analysis. 3rd Edition, Macmillan, New York.

 
 
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