Technical efficiency of hybrid maize production in eastern terai of Nepal: A stochastic frontier approach

Abstract

Maize is the second most important crop after rice in terms of area and production in Nepal. This article analyzes the technical efficiency and its determinants of hybrid maize production in eastern Nepal. Using a randomly selected data from 98 farmers (41 from Morang and 57 from Sunsari) in eastern Nepal, the study employed a stochastic frontier production model to find the production elasticity coefficients of inputs, determinants of efficiency and technical efficiency of hybrid maize farmers. The results showed that maize production responds positively to increase in amount of urea, DAP and the area planted, where as it is negative to seed quantity. The study indicate that farmers are not technically efficient with a mean technical efficiency 79 %. Socioeconomic variable age had a negative and significant while the household size had a positive and significant related to maize output. The younger farmers were observed more technically efficient than older farmers. Larger the members in the household higher the maize production. It is recommended that farmers should increase their fertilizer dose and farm size while they should decrease their seed rate for efficient production.

Allocative efficiency and adoption of improved maize variety: A case of eastern hills of Nepal

“…The R-squared value was 0.4826, indicated that 48.26% of the variation in income from maize was explained by the independent variables included in the model. Cost of seed was statically significant at 1% level probability; 10% increase in cost of seed resulted in 2.95% increase in income, consistent with study conducted by Dhakal et al (2015) and Sapkota et al (2018) but contrast with maize production in eastern terai of Nepal (Adhikari et al, 2018). The increase in income with cost of seed could partly be attributed to the fact that improved seed cost more than local seed.…”

Resource Use Efficiency and Profitability of Maize Farming in Sindhuli, Nepal: Cobb-Douglas Production Function Analysis

“…10% increase in FYM resulted in increase in 2.43% of income similar result was obtained in potato production of Nuwakot . 10% increase in seed cost resulted in 0.6% increase in output which is in line with study conducted by (Dhakal et al, 2015;Sapkota et al, 2018) but contrast with maize production in eastern terai of Nepal (Adhikari et al, 2018). 10% increase in labor and animal power resulted into 0.2% and 0.07% decrease in output which is in line with maizepumkin mixed cropping (Dhakal et al, 2015).…”

“…Cost of seed is statically significant at 10% level of significance and cost of chemical fertilizer and FYM was significant at 1% level of significance. 10% increase in chemical fertilizer resulted in increase in income by 7.21% which is consistent with maize production of eastern terai of Nepal, Ghana and Zimbabwe (Adhikari et al, 2018;Hanan and Rahaman, 2017;Mango et al, 2015). 10% increase in FYM resulted in increase in 2.43% of income similar result was obtained in potato production of Nuwakot .…”

Analysis of factors that influence production and cost of corn in Banten province

“…Atika et al (2020) [12] in they were researched in Muna District, South East province found that factors influenced the production of corn significantly namely land area and seed. Adhikari et al (2018) [13] in his study in Nepal, found that the factors that significantly affected corn production were the amount of Urea and DAP fertilizer used, and the planting area. The same study was carried out by Ombuki (2018) [14] in Kisii County-Kenya, finding that the factors influencing corn production were land ownership, weak use of highyielding varieties, household income, number of extension visits, area of land cultivated for corn.…”