Crop Production Risk Implication on Intensity of Technology Adoption in Ethiopia: Multivariate Probit Model Analysis

The main objective of the study is investigating impact production risks on adoption improved technologies (such as seed, inorganic fertilizer and chemical inputs) level multiple in Ethiopia particularly Amhara region. used two years cross sectional data collected 2011 2013. applied stage regression analysis, first, I regressed function order to drive expected output risk factors (variance skewness). In second stage, have multivariate probit models including output, variances skewness measure. result revealed that variance are major determinant for decisions fertilizer, inputs technologies. Moreover, credit access, membership farm cooperatives, ownership livestock, land size percentage irrigated positively significantly determine To increase modern technology consequently reduce risk. Policy makers should put emphasis overcoming market failures, create strong sustainable cooperatives aversion farmers be considered when designing economic policies. Key words: risk, adoption, model Ethiopia. DOI: 10.7176/RJFA/13-5-02 Publication date: March 31 st 2022