Culture of Fish in Rice Fields


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Technical Efficiency of Small Scale Farmers


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This study aimed at assessing the technical efficiency of fish farmers in Ibadan metropolis of Oyo State, Nigeria using the stochastic frontier production function analysis. Primary data were collected using a set of structured questionnaire from 82 fish farmers in Ibadan metropolis, Oyo State, Nigeria. The stochastic frontier function estimated for the 82 respondents showed that the mean efficiency value was 0.906. Majority of the fish farmers of about 65.9 percent are over 90 percent efficient and about 34.1 percent had technical efficiency ranging from 50 percent to 90 percent, based on the use of input. The distribution of results also showed that fish farmers in Ibadan metropolis are more efficient in the use of inputs though not all the inputs. There are farmers who gain more by reducing the inputs (e.g. labour use) for the same level of output. Changing the input combinations can thereby increase the farm level of efficiency. The farmers in the study area therefore need to use their available input intensively and rationally so as to produce better output and be technically efficient.










Technical Efficiency of Sesame Production


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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.




Technical Efficiency of Smallholder Farmers in Tigray Region, Ethiopia


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Agriculture sector in Ethiopia is characterized by its poor performance, while the population, which largely depends on agriculture, is growing at a faster rate. This necessitates looking for means to increase the productivity of smallholder farmers either by introducing new technologies or improving their technical efficiency at existing technology. And hence, this thesis provides new estimates of small holder farmers' technical efficiency and its principal determinants using a rural Tigray micro finance survey data collected in 2009. Both descriptive and econometric methods are used. The hypotheses tests confirm the adequacy of Cobb-Douglas over Translog frontier; the appropriateness of using SFA over OLS; the joint statistical significance of inefficiency effects; the appropriateness of using truncated normal distribution for one sided error; and the increasing returns to scale nature of the stochastic production function.







Cost and Production Functions


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This study is the result of an interest in the economic theory of production intermittently pursued during the past three years. Over this period I have received substantial support from the Office of Naval Research, first from a personal service consulting contract directly with the Mathematics Division of the Office of Naval Research and secondly from Project N6 onr-27009 at Princeton Univer sity under the direction of Professor Oskar Morgenstern. Grateful acknowledgement is made to the ·Office of Naval Research for this support and to Professor Morgenstern, in particular, for his interest in the puolication of this research. The responsibility for errors and omissions, how ever, rests entirely upon the author. Professor G. C. Evans has given in terms of a simple total cost function, depending solely upon output rate, a treatment of certain aspects of the economic theory of production which has inherent generality and convenience of formulation. The classical approach of expressing the technology of production by means of a production function is potentially less restrictive than the use of a simple total cost function, but it has not been applied in a more general form other than to derive the familiar conditions between marginal productivities of the factors of produc tion and their market prices.




Identification of Factors Which Influence the Technical Inefficiency of Indian Farmers


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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.




Three Essays on Technical Efficiency of Smallholder Farmers


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In the first chapter of the dissertation, we estimate the impacts of controlling for environmental production conditions on smallholder farmers' technical efficiency in Ethiopia for maize, sorghum and wheat farming. We use a household panel dataset with annual and cropping season environmental production conditions data. Our results show that accounting for environmental production conditions in the stochastic frontier helps to determine the sources of inefficiencies which may otherwise be ignored or overestimated. The mean estimates of the technical efficiency scores differ when we control for environmental production conditions during the cropping season and annually. The second chapter of the dissertation examines the efficiency of smallholder farmers who adopt improved maize using agricultural household data from Ethiopia. We find that smallholder farmers are becoming more efficient in growing improved seeds than local varieties even though there are still some inefficiencies. The mean technical efficiency of improved maize farmers increases by 2.9%. For improved open pollinated varieties, it increases by 9.21%. We attribute the increase in efficiency to the changes in agricultural systems of most Sub-Saharan African countries. Therefore, given that the dissemination and adoption of improved seeds is increasing in Africa, efforts should be made to assist smallholder farmers to be more efficient in growing these seeds. The third chapter provides an insight into the efficiency of peanut farmers in Haiti. We use the stochastic production frontier to show how the agricultural training program impacts the efficiency of smallholder peanut farmers in Haiti. Specifically, we estimate the technical efficiency of farmers enrolled in the training program offered by a for profit organization and those who qualify to enroll but chose not to. Our results indicate that the program had positive effect on the efficiency of peanut farmers during the spring growing season. Farmers who enrolled in the spring season had efficiency scores of 36% more than those who chose not to enroll. Further, we find a large gap in efficiency scores between farmers who enrolled in the fall and spring growing seasons, suggesting that environmental variables should also be included in farm efficiency studies.