Download Free Analysis Of Technical Efficiency Of Small Scale Maize Producers Book in PDF and EPUB Free Download. You can read online Analysis Of Technical Efficiency Of Small Scale Maize Producers and write the review.

The study was aimed at analyzing the technical efficiency in maize production of smallholder farmers in Mecha district, West Gojjam, ANRS. Cross sectional data from 120 maize producer farmers were collected during 2004/05 production season. The estimated results of the Cobb-Douglas frontier model with inefficiency variables shows that the mean technical efficiency of the farmers in the production of maize is 78 percent. This implies that maize productivity can be increased by 22 percent given the existing technological level. Thus currently farmers are not using production inputs efficiently in such a way that they give their maximum potential. The discrepancy ratio gamma ( ), which measures the relative deviation of output from the frontier level due to inefficiency, was about 66 percent. This implies that about 66 percent of the variation in maize production (yield) among the sample respondents was attributed to technical inefficiency effects. The estimated stochastic production frontier (SPF) model also indicates that DAP fertilizer, Area, Labor and Pesticide are significant determinants of maize production level."
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis.
The agricultural production of Indian farmers is investigated using a stochastic frontier production function which incorporates a model for the technical inefficiency effects. Farm-level data from the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) are used. Variables considered in the model for the inefficiency effects include the age and level of education of the farmers, farm size and the year of observation. The parameters of the stochastic frontier production function are estimated simultaneously with those involved in the model for the inefficiency effects. This approach differs from the usual practice of predicting farm-level inefficiency effects and then regressing these upon various factors in a second-stage of modelling. The results indicate that the above factors do have a significant influence upon the inefficiency effects of farmers in two of the three villages considered.
Maize is an important food crop in Ghana, accounting for more than 50 percent of the country’s total cereal production. The Ghana Grains Development Project (1979–1997) and the Food Crops Development Project (2000–2008) made major investments to improve maize yield. Despite these efforts, the average maize yield in Ghana remains one of the lowest in the world, much lower than the average for Africa south of the Sahara.
Master's Thesis from the year 2016 in the subject Business economics - Supply, Production, Logistics, , course: Agricultural Economics, language: English, abstract: This study aimed to analyze the technical efficiency of sesame production in Humera area and to identify major factors that cause efficiency differentials of smallholder farmers. The objective of the study is to measure the technical efficiency of small holder farmers in sesame production. The study was conducted using a cross sectional data collected in 2015/2016-production year from a total sample of 110 households. Cobb-Douglas function was employed to estimate technical efficiency of smallholder farmers in sesame production. The finding of the study indicated that there is inefficiency in the production of sesame in the study area. The estimation of the frontier model with inefficiency variables shows that the mean technical efficiency of farmers is 0.69 (69%). This implies that production of sesame can be increased by 31 percent given the existing technological level. This indicates that the farmers did not using production inputs efficiently in such a way that they give their maximum potential. The estimated stochastic production frontier model together with the inefficiency parameters suggests that any attempt to strengthen technical efficiency of smallholder farmers in the study area must give due attention to the improvement of the principal causes for efficiency differentials such as education, age, extension contact, credit availability, off farm activities and proximity, which were found to be significant determinants of efficiency level. The negative coefficient of educational status, age, credit availability, extension contact and off farm activities means these factors are important in determining the existing efficiency of farmers positively and significantly. While the positive coefficients of proximity indicate that the increments in these factors increase inefficiency. Given the limited resources in the study area will enable the concerned parties engaged in efforts for improvement of the product and productivity of this part of the community to bring about the desired changes in a cost effective way than trying to inject an investment on the production of sesame.
Maize is staple crop for ensuring food security of the majority of the population. Based on a two-period panel data of 2017 and 2019 production seasons, we examined the efficiency status of 483 maize producing farmers in the central rift valley of Ethiopia. For the analysis, different time-variant panel stochastic frontier estimation models were applied. We found that land, seed, fertilizer, farm labor, and farm tools had significant positive elasticity considering the producers' efficiency status. The quality of land used for maize production had a significant impact on farm efficiency gain. The covariates of household size, livestock ownership, extension contact, and credit access were also important in reducing the inefficiency of the maize producers. The mean technical efficiency over the panel period was found to be 62%, whereas the time-varying and the time-invariant efficiency components accounted for 86% and 71%, respectively. Despite the observed gap from the recommended rate, the intensity of fertilizer use increased on average by 18.6% during the panel period. Hence, enhanced access to production inputs and the identified determinant factors were important in approaching the higher frontier in maize production in the study areas.
Intended for policymakers and scholars, the 15 contributions in this volume are divided into two sections: the first provides six country case studies of the evolving maize economies of Zimbabwe, Zambia, Malawi, Kenya, Ghana, and Nigeria. The second part synthesizes major technological, institutional, and policy issues with chapters on research and extension, soil fertility, seed and fertilizer delivery systems, and marketing and price policy. Paper edition (754-0), $29.95. Annotation copyrighted by Book News, Inc., Portland, OR