scholarly journals TECHNICAL EFFICIENCY OF CEREAL PRODUCTION IN NORTH CENTRAL NIGERIA: A CASE FOR MAIZE, RICE AND SORGHUM FARMERS

2016 ◽  
Vol 15 (1) ◽  
pp. 25-34
Author(s):  
M. A. BWALA ◽  
H. S. E. KOKOYE ◽  
R. N. YEGBEMEY
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Cereal Crops ◽  
Stochastic Frontier Model ◽  
Survey Area ◽  
North Central ◽  
Rice Farmers ◽  
Input Combination ◽  
Cereal Production

This study estimated technical efficiency levels of cereal crops producers. The study employed the translog stochastic frontier model to estimate efficiency levels of maize, rice and sorghum producers in the survey area. Findings revealed that maize and sorghum farmers were operating in the efficiency range of 0.50 to 0.98, while for rice farmers efficiency estimates ranged between 0.71 and 0.98. Fur- thermore, it was also observed that a majority of the rice farmers operate in the range 0.91 and 0.98 efficiency levels. Also, about 18% of the farmers operate in the efficiency range of 0.81 and 0.90, while just about 14% operate in the range of 0.96 and 0.98 efficiency levels for rice production. Findings suggest that, all things been equal, most of the cereal crops producers could improve their current levels of production by adjusting their input combination.

scholarly journals An Analysis of Technical Efficiency for Household's Rice Production in Cambodia: A Case Study of Three Districts in Battambang Province

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Influencing Factors ◽  
Best Practice ◽  
Stochastic Frontier ◽  
Household Head ◽  
Rice Production ◽  
Primary Data ◽  
Rice Farmers ◽  
Plot Area ◽  
Frontier Production Function

The aims of this study are to measure the technical efficiency (TE) of Cambodian household’s rice production and trying to determine its main influencing factors using the stochastic frontier production function. The study utilized primary data collected from 301 rice farmers in three selected districts of Battambang by structured questionnaires. The empirical results indicated the level of household rice output varied according to differences in the efficiency of the production processes. The mean TE is 0.34 which means that famers produce 34% of rice at best practice at the current level of production inputs and technology, indicates that rice output has the potential of being increased further by 66% at the same level of inputs if farmers had been technically efficient. Furthermore, between 2013-2015, TE of household’s rice production recorded -14.3% decline rate due to highly affected of drought during dry season of 2015. Moreover, evidence reveals that land, fertilizer, and pesticide are the major influencing input factors of household’s rice production, while disaster, education of household head, family size and other crops’ cultivated area are core influencing factors decreasing TE. Conversely, the main influencing factors increasing TE are irrigated area, number of plot area and sex of household head.

scholarly journals Technical Efficiency of Red Rice Farming in Gunung Kidul Regency, Yogyakarta

2021 ◽  
Vol 316 ◽  
pp. 02045
Author(s):  
Lestari Rahayu ◽  
Ratih Hanifah
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Formal Education ◽  
Stochastic Frontier ◽  
Stochastic Frontier Model ◽  
Rice Farming ◽  
Red Rice ◽  
Internal Factors ◽  
North Central ◽  
The North

Red rice is germplasm in Gunung Kidul Regency, whose territory is north, central, and south. This study aimed to analyze the factors that influence the production of red rice farming in Gunung Kidul Regency, analyze the level of technical efficiency, and the factors that influence the technical inefficiency of red rice farming in Gunung Kidul Regency. This research was conducted in Gunung Kidul Regency, which was determined purposively, in sampling 200 respondents. Data were analyzed using the Cobb-Douglas Stochastic Frontier model production function. The results showed that the variable area of land, seeds, manure, phonska fertilizer, urea fertilizer, liquid pesticides, and labor had a significant effect on the production of red rice. Technically, farmers have been efficient, with an average index of 0.837. Meanwhile, from the five internal factors of farmers, age, formal education, farming experience, dummy zones in the north, dummy zones in the south, no effect on inefficiency

scholarly journals Farmers’ Efficiency Enhancement Through Input Management: The Issue Of USG Application In Modern Rice

1970 ◽  
Vol 36 (1) ◽  
pp. 129-141 ◽  
Author(s):  
M Shahe Alam ◽  
M Saiful Islam ◽  
MA Islam
Keyword(s):  
Technical Efficiency ◽  
Proper Time ◽  
Stochastic Frontier ◽  
Crop Management ◽  
Rice Production ◽  
Production Model ◽  
Rice Farmers ◽  
Prilled Urea ◽  
Production Environments ◽  
Yield Gain

A socio-economic study was carried out in two rice production environments (Gazipur and Tangail) to assess the comparative advantages of using urea super granule (USG) over prilled urea (PU) in modern rice production and to examine the differences in producers’ technical efficiency between USG user and non- user in crop management. Stochastic frontier production model was employed to examine the farm specific technical efficiency difference in crop management between USG and PU users in the study areas. Analysis revealed that comparatively low amount (36%) of urea was needed in modern boro rice production using USG instead of PU. Nearly 366 % more labour was needed in the USG using plots compared to that of PU user plots, while weeding cost was a bit lower in USG using plots. Analysis also indicated that the sample farmers were able to achieve additional yield of 0.87 t/ha by using USG and this yield gain further resulted to additional benefit of Tk. 11506/ha. For the resource poor rice farms, this benefit is considered to be substantive. Farmers’ contact with the technology disseminators, training on rice production and the use of USG (instead of PU) were the important factors of increasing rice farmers’ technical efficiency in crop management and productivity enhancement as well. According to the farmers’ opinion, there were several constraints in using USG and out of those, requirement of more labour and non availability of USG in proper time were the dominant ones. Keywords: Urea super granule; prilled urea; flood-prone ecosystem; technical efficiency; productivity. DOI: http://dx.doi.org/10.3329/bjar.v36i1.9237 BJAR 2011; 36(1): 129-141

scholarly journals An Analysis of Technical Efficiency for Household’s Rice Production in Cambodia: A Case Study of Three Districts in Battambang Province

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Influencing Factors ◽  
Best Practice ◽  
Stochastic Frontier ◽  
Household Head ◽  
Rice Production ◽  
Primary Data ◽  
Rice Farmers ◽  
Plot Area ◽  
Frontier Production Function

The aims of this study are to measure the technical efficiency (TE) of Cambodian household’s rice production and trying to determine its main influencing factors using the stochastic frontier production function. The study utilized primary data collected from 301 rice farmers in three selected districts of Battambang by structured questionnaires. The empirical results indicated the level of household rice output varied according to differences in the efficiency of production processes. The mean TE is 0.34 which means that famers produce 34% of rice at best practice at the current level of production inputs and technology, indicates that rice output has the potential of being increased further by 66% at the same level of inputs if farmers had been technically efficient. Furthermore, between 2013-2015 TE of household’s rice production recorded -14.3% decline rate due to highly affected of drought during dry season of 2015. Moreover, evidence reveals that land, fertilizer, and pesticide are the major influencing input factors of household’s rice production, while disaster, education of household head, family size and other crops’ cultivated area are core influencing factors decreasing TE. Conversely, the main influencing factors increasing TE are irrigated area, number of plot area and sex of household head.

scholarly journals Estimation of technical efficiency of black cumin (Nigella sativa L.) farming in northwest Ethiopia: a stochastic frontier approach

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Abebe Birara Dessie ◽  
Tadie Mirie Abate ◽  
Betelhem Tsedalu Adane ◽  
Tiru Tesfa ◽  
Shegaw Getu
Keyword(s):  
Technical Efficiency ◽  
Nigella Sativa ◽  
Stochastic Frontier ◽  
Market Price ◽  
Northwest Ethiopia ◽  
Flowering Plant ◽  
Yield Potential ◽  
Stochastic Frontier Model ◽  
Black Cumin ◽  
The Mean

Abstract Ethiopia is one of the east African countries which produce and exports various spices to other countries. Black cumin (Nigella sativa L.) is an important stiff annual flowering plant which mainly grows by producers for its seeds. An increasing demand of black cumin seed and oil in local, national and international market for medicinal, consumption and commercial purpose makes the best alternative crop for small holder farmers in Ethiopia. In spite of its importance, not much has been done to improve its production and productivity in Ethiopia. Therefore, this research was designed to examining efficiency variations and factors influencing technical inefficiency levels of producers on black cumin production in northwest Ethiopia. Primary data were collected using a semi-structured questionnaire administered on 188 black cumin producers selected using systematic random sampling technique. Moreover, various data analysis methods such as descriptive statistics and stochastic frontier model were used for analyzing the data. The empirical result obtained by applying maximum likelihood estimate of stochastic frontier model revealed that seed (p < 0.01) labor (p < 0.05), chemical (p < 0.01) and land (p < 0.05) were significant input variables in determining black cumin production. The mean technical efficiency level of black cumin producer was generally low, about 53.1%. The mean value of actual yield, potential yield and yield gap was 3.131, 5.832 and 2.701 quintals, respectively. Moreover, the result of stochastic frontier model together with the inefficiency parameters revealed that market price of black cumin (p < 0.01) and access of extension service (p < 0.1) were significant variables and positively influenced the efficiency levels of black cumin producers. Whereas age of producers (p < 0.05) and distance to farm plot (p < 0.01) negatively influenced the technical efficiency levels of black cumin producers. Therefore, the study recommends that adoption of latest agricultural technologies; development of institutions, agricultural extension services and infrastructure are advisable to improve the efficiency and commercial value of black cumin production.

scholarly journals Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Economic Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Cross Sectional ◽  
Rice Farmers ◽  
Effect Regression ◽  
The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

Stochastic Frontier Model Approach of Technical Efficiency for Paddy Farming in Odisha

2020 ◽  
pp. 1135-1140
Author(s):  
Priyabrata Bhoi ◽  
Deepak Kumar Swain ◽  
Subhadra Mishra ◽  
Debahuti Mishra ◽  
Gour Hari Santra ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Stochastic Frontier Model ◽  
Model Approach
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