Determinants of Wheat Yield Variation of Smallholders in South Eastern Ethiopia

Application of Ordered Logistic Regression

Authors

  • Tolesa Alemu Ethiopian Institute of Agricultural Research

Keywords:

Wheat, Determinants for yield variation, Ordered logit, Ethiopia

Abstract

There is high wheat yield variation among smallholders in the study area. The yield gap is mainly due to socio-economic, farm inputs utilization and institutional service characteristics of the farmers. This study identifies the determinant factors that affect the probability of wheat yield tends to be relatively low, medium or high given a set of yield influencing factors. Cross-sectional data collected from randomly selected farm households and ordered logistic regression were used to attain the objective of the study. The study found out that seed rate, rates of herbicides and fungicides applications, use of hand weeding and agro-ecological location of household were significant factors that determine the probability of wheat yield level to be low, medium or high. The findings imply that agro-ecology based seed rate, weed and disease management efforts are needed to improve wheat yield provided that the recommended rates of seed, herbicides and fungicides are properly applied.

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Author Biography

Tolesa Alemu, Ethiopian Institute of Agricultural Research

Ethiopian Institute of Agricultural Research, Kulumsa Research Center, P.O. Box: 489, Asella, Ethiopia

References

Anderson, J.A. (1984). Regression and ordered categorical variables (with discussion). Journal of the Royal Statistical Society, Series B 46(1): 1-30.

CSA (Central Statistical Agency of Ethiopia). (2014). Report on area and production of major crops, private peasant holdings, meher season, Addis Ababa.

Dorosh, P., and Rashid. S. (2013). Food and Agriculture in Ethiopia: Progress and Policy Challenges. University of Pennsylvania Press. Philadelphia, USA.

Greene, W.H. and Hensher, D.A. (2009). Modeling ordered choices. Stern school of business, New York University, New York.

Greene, W.H. (2012). Econometric analysis 7th edition.

USA, Pearson education, Inc.

Krejcie, R.V. and Morgan, D.W. (1970). Determining sample size for research activities. Educational and Psychological Measurement 30: 607-610.

McCullagh, P. (1980). Regression models for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B 42: 109-142.

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Published

30.09.2015

How to Cite

Alemu, T. (2015). Determinants of Wheat Yield Variation of Smallholders in South Eastern Ethiopia: Application of Ordered Logistic Regression. Journal of Science, Technology and Arts Research, 4(3), 61–66. Retrieved from https://journals.wgu.edu.et/index.php/star/article/view/245

Issue

Section

Original Research

Categories

Plaudit