scholarly journals DETERMINANTS AND TECHNICAL EFFICIENCY OF MAIZE PRODUCTION IN MUNA DISTRICT OF SOUTHEAST SULAWESI

2020 ◽  
Vol 8 (3) ◽  
pp. 201-206
Author(s):  
Laode Geo
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Maize Production ◽  
Factors Affecting ◽  
Land Size ◽  
Random Method ◽  
Douglas Production Function

This study aimed to assess (1) factors affecting the production of maize farming and (2) the technical efficiency of maize farming. The study was conducted at Bone Kacintala subdistrict, Muna district, Southeast Sulawesi. The study location was selected purposively as it was production center of maize farming. Respondents consisted of 32 farmers who were taken using simple random method. The data consisted of primary and secondary data. The data were analyzed using Cobb-Douglas production function and Stochastic Frontier. The results showed that the level of technical efficiency of maize farming was 0.72 on average, which was efficient and there was still an opportunity of 28 percent to increase the technical efficiency. Land size, seed and fertilizer had positive and significant effect on maize production.

scholarly journals ESTIMASI FUNGSI PRODUKSI DAN EFISIENSI ALOKASI SUMBERDAYA PETANI KEDELAI DI LOMBOK BARAT

2006 ◽  
Vol 3 (1) ◽  
pp. 145-148 ◽  
Author(s):  
Nurhayatin Nufus
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Farm Management ◽  
Management Level ◽  
Stochastic Frontier Production Function ◽  
Stochastic Production ◽  
Frontier Production Function ◽  
Land Size

This research  aims  to analyses  factors  influence  on production  and  resources  allocation  of soybeans  by farmer  at  West Lombok.  Production  function  was estimated  from survey data and technical  efficiency  was used to indicate  farm management  level  through maximum  likelihood,  which  was transformed  into frontier stochastic  production  function.  The land  size,  fertilizer  (urea and  TSP), labor  and pesticide  influence  the production  of soybean  at site.  The technical efficciency  level of Soybean fann was 95,6 percent   The  usage of TSP and pesticide reached allocative efficiency while urea and seeds were al/ocative efficiency yet Key words:  technical  effICiency, allocative  effICiency, and stochastic  frontier  production  function.

scholarly journals Analysis of technical efficiency among rice farmers in Ebonyi State of Nigeria: A stochastic frontier approach

2020 ◽  
Vol 18 (1) ◽  
pp. 40-49
Author(s):  
C. Chikezie ◽  
G.N. Benchendo ◽  
O.B. Ibeagwa ◽  
I.O. Oshaji ◽  
O.A. Onuzulu
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Sample Selection ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Farm Size ◽  
Rice Varieties ◽  
Rice Farmers ◽  
Extension System ◽  
Douglas Production Function

This paper analysed the technical efficiency of rice farmers in Ebonyi State, Nigeria. It specifically analysed the levels and determinants of technical  efficiency. A multistage sampling technique was adopted for sample selection. A total of 150 well-structured questionnaires were distributed but only 91 were returned. The Cobb-Douglas production function model was used to predict the farm level technical efficiency. Results from the Cobb- Douglas Regression showed a sigma square (σ2) of 0.06584 which was statistically significant at 1 percent. The technical efficiency scores among the rice farmers ranged from 0.012 to 1.000 with a mean of 0.350. Farm size, quantity of rice seedlings, quantity of fertilizer and quantity of  agrochemical all were showed positive correlation with coefficients of 0.93511, 0.08310, 0.11200 and 0.14345 respectively while farm labour showed  a negative correlation with technical efficiency. The determinants of technical inefficiency were age, household size and extension visits. This paper advocates the strengthening of existing extension system for timely sourcing of highly improved rice varieties and subsidized fertilizer. There is the need to enhance farmers’ technical efficiency through adequate training on optimum input mix. Keywords: Rice production, technical efficiency, cobb-douglas production function

scholarly journals Determinants of technical efficiency in duck production in southwest Nigeria

2018 ◽  
Vol 51 (3) ◽  
pp. 113-120
Author(s):  
Olayinka Isiaka Baruwa ◽  
Akeem Abiade Tijani ◽  
Taiwo Alimi
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Economic Factors ◽  
Domestic Duck ◽  
Resource Base ◽  
Animal Products ◽  
Factors Affecting ◽  
Socio Economic Factors

Abstract The need to complement the supply of animal products with other sources of poultry necessitates exploring the potentials of domestic duck production. Studies conducted on indigenous ducks in Nigeria have paid less attention to the resource requirements and its determinants to duck production. This study therefore estimated technical efficiencies of domestic duck producers in South-western Nigeria, and identified some socio-economic factors, which influence them. A combination of purposive and random sampling was employed. Stochastic frontier production function approach using a translog production function was used to estimate the technical efficiencies of indigenous duck producers, while inefficiency model was used to determine the socio-economic factors affecting the technical efficiencies. The results showed that the level of technical efficiency ranged from 48% to 96% with a mean of 83.3%, which suggests that average duck output was 16.7% short of the maximum possible level. This implies that productive efficiency could still be improved using the subsisting resource base. The study concluded that mounting capacity building programmes for duck farmers generally, and availability of credit could increase the productivity of duck enterprise if monitored.

scholarly journals Determinants of technical efficiency in duck production in southwest Nigeria

2018 ◽  
Vol 51 (3) ◽  
pp. 113-120
Author(s):  
Olayinka Isiaka Baruwa ◽  
Akeem Abiade Tijani ◽  
Taiwo Alimi
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Economic Factors ◽  
Domestic Duck ◽  
Resource Base ◽  
Animal Products ◽  
Factors Affecting ◽  
Socio Economic Factors

Abstract The need to complement the supply of animal products with other sources of poultry necessitates exploring the potentials of domestic duck production. Studies conducted on indigenous ducks in Nigeria have paid less attention to the resource requirements and its determinants to duck production. This study therefore estimated technical efficiencies of domestic duck producers in South-western Nigeria, and identified some socio-economic factors, which influence them. A combination of purposive and random sampling was employed. Stochastic frontier production function approach using a translog production function was used to estimate the technical efficiencies of indigenous duck producers, while inefficiency model was used to determine the socio-economic factors affecting the technical efficiencies. The results showed that the level of technical efficiency ranged from 48% to 96% with a mean of 83.3%, which suggests that average duck output was 16.7% short of the maximum possible level. This implies that productive efficiency could still be improved using the subsisting resource base. The study concluded that mounting capacity building programmes for duck farmers generally, and availability of credit could increase the productivity of duck enterprise if monitored.

​Factors Affecting Production of Important Pulse Crops in Rajasthan: A Cobb Douglas Analysis

2021 ◽  
Author(s):  
Devendra Kumar Verma ◽  
Hari Singh ◽  
Girdhari lal Meena ◽  
Jitendra Suman ◽  
Sharad Sachan
Keyword(s):  
Production Function ◽  
Irrigation Water ◽  
Agricultural Sector ◽  
Plant Protection ◽  
Secondary Data ◽  
Protection Measures ◽  
Factors Affecting ◽  
Pulse Crops ◽  
Human Labour ◽  
Negative Effect

Background: Pulses are one of the most important food crops grown globally owed to their higher protein content. It also accounts for larger financial gains of the agricultural sector by amounting for a large part of the exports. The present study was carried out to determine the factors affecting production of pulse crops in Rajasthan. Methods: This paper based on secondary data collected over the years i.e. from 2000-01 to 2017-18. The Cobb-douglas production function was used to the observation for the estimation of elasticity of selected variables contributing to the production of pulses in Rajasthan state, Cobb douglas type production function was employed to assess the effects of seed, fertilizer, manure, human labour, irrigation, bullock labour and plant protection measures on pulses production. Result: The results from the study have shown that fertilizer and plant protection measures were positively significant while the variable corresponding to irrigation water was negatively significantly affecting the gram production. The variables such as seed and irrigation water were found positive and significant, while plant protection measures had significant negative effect on black gram production. Only two variables namely, fertilizer and irrigation water were found positively significant out of estimating production function of green gram.

scholarly journals Measurement of technical efficiency in the case of heterogeneity of technologies used between firms – Based on evidence from Polish crop farms

2021 ◽  
Author(s):  
Jerzy Marzec ◽  
Andrzej Pisulewski
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Prior Distribution ◽  
Prior Information ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Random Coefficients ◽  
Point Of View ◽  
Model Specification ◽  
Stochastic Frontier Models

In the present study, we have investigated several competing stochastic frontier models which differ in terms of the form of the production function (Cobb-Douglas or translog), inefficiency distribution (half-normal or exponential distribution) and type of prior distribution for the parameters (hierarchical or non-hierarchical from the Bayesian point of view). This last distinction corresponds to a difference between random coefficients and fixed coefficients models. Consequently, this study aims to examine to what extent inferences about estimates of farms' efficiency depend on the above assumptions. Moreover, the study intends to investigate how far the production function's characteristics are affected by the choice of the type of prior distribution for the parameters. First of all, it was found that the form of the production function does not impact the efficiency scores. Secondly, we found that measures of technical efficiency are sensitive to distributional assumptions about the inefficiency term. Finally, we have revealed that estimates of technical efficiency are reasonably robust to the prior information about the parameters of crop farms' production technology. There is also a resemblance in the elasticity of output with respect to inputs between the models considered in this paper. Additionally, the measurement of returns to scale is not sensitive to model specification.

scholarly journals Technical Efficiency of Gambir Farming in Lima Puluh Kota Regency, West Sumatra, Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 18
Author(s):  
Fauziah Fauziah ◽  
Hasnah Hasnah ◽  
Rusda Khairati
Keyword(s):  
Technical Efficiency ◽  
Negative Impact ◽  
Stochastic Frontier ◽  
Plant Age ◽  
System Technology ◽  
Factors Affecting ◽  
West Sumatra ◽  
Npk Fertilizer ◽  
Older Farmers ◽  
Frontier Production Function

This study analyzes the factors influencing gambier productivity, analyzes the technical efficiency of gambier farming, and analyzes the factors affecting gambier farming's technical efficiency. This research was conducted in Lima Puluh Kota Regency, a gambier production center in West Sumatra. Data were analyzed using the Cobb Douglas stochastic frontier production function. The results showed that the factors that significantly influenced gambier's productivity were labor, NPK fertilizer, plant age, number of trees, varieties, and technology. The number of labor, fertilizer factor, plant age, number of trees, and seedling varieties had a positive effect on gambier productivity. In contrast, NPK fertilizer and technology had a negative impact on gambier productivity. The technical efficiency level of gambier farming started from 0.25 to 0.99 with an average level of 0.76. It means that farmers are technically efficient but can still increase gambier productivity if they use production inputs appropriately and adequately. Factors that significantly influence technical efficiency are age, farming experience, and technology. Older farmers will have a higher level of technical efficiency compared to young age. The lower the farming experience, the more technically efficient the farmer is. Farmers who use the hydraulic jack system technology are more efficient than farmers who use the jack system technology

scholarly journals Technical Efficiency and Small Scale Maize Producers in Mwanza Region: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Mukole Kongolo
Keyword(s):  
Technical Efficiency ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Estimation Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Maize Production ◽  
Frontier Analysis

This study measured technical efficiency and its determinants in maize production by small-scale producers in Mwanza region, using a stochastic frontier production function approach. A randomly selected sample of participants in the two districts was used. The Maximum Likelihood estimation procedure was followed to obtain the determinants of technical efficiency and technical efficiency levels of small-scale maize producers. The minimum and maximum values of technical efficiency were between 20% and 91%, indicating that the least practices of specific producer operates at a minimum level of 20%, while the best practice producers  operate  at 91% technical efficiency  level respectively. The summary results of the mean technical efficiency was 63%. The main determinants of technical efficiency were labour, farm size, producer’s experience, producer’s age, family size which were all positive and statistically significant. The findings suggest that the average efficiency of small-scale maize producers could be improved by 37% through better use of existing resources and technology. These findings highlight the need for action by government to assist small-scale maize producers improve efficiency.

scholarly journals Contribution of Factors Affecting Crop Production in Bangladesh: An Empirical Analysis with Production Function Approach

2021 ◽  
Author(s):  
Muhammad Faruq-Uz-Zaman
Keyword(s):  
Production Function ◽  
Crop Production ◽  
Management Practices ◽  
New Technology ◽  
Land Use Changes ◽  
Secondary Data ◽  
Study Data ◽  
Climate Effect ◽  
Factors Affecting ◽  
Or Economics

Bangladesh has achieved a tremendous success in food production in last few decades amidst challenges of land degradation, land use changes and climate effect. In spite of the increasing trend of yields of crops, there still remain some challenges to meet the growing needs due to increase in population and loss of land to development activities. This study aims to identify the rate of contributions or economics of factors of crop production in Bangladesh. Cobb-Douglas production function has been applied in this study of crop production using a number of production factors within the broad terms land, labour and capital. Secondary data, representing factors of production, have been selected based on literature reviews so that they can be appropriate for this study. Data of crop production have been considered as dependent variables, whereas, land area coverage for agricultural production, labour employed in agriculture, agricultural household expenditure, fertilizer applied and irrigation coverage have been considered as independent variables. Land and labour is negatively correlated with crop production, whereas, fertilizer is positively correlated. Crop production which shows decreasing return to scale deserves the adoption of new technology and good agricultural management practices.

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