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 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 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 Determining the efficiency of rice production in the Kadawa rice cluster of Kano State, Nigeria

2019 ◽  
Vol 6 (4) ◽  
pp. 5-10
Author(s):  
Yusuf Tanko
Keyword(s):  
Tertiary Education ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Production Model ◽  
Rice Seed ◽  
Rice Farming ◽  
Years Of Experience ◽  
Crop Season ◽  
Extension Services ◽  
Rice Farmers

In an efforts to increase the production of rice for food security and reduced deflation of foreign reserves, the Nigerian government eases access to fertilizer, extension services and improved rice seed. Therefore, the paper examines the effect of access to fertilizer and extension services infrastructures and improved rice seed on the productivity of rice farmers as well as identify their level productivity in the Kadawa rice cluster. A five Likert structured questionnaire randomly administered to a sample of 80 rice farmers in the 2018 crop season. The Cobb-Douglas stochastic frontier production model was used to analyze the data. The descriptive result shows that males (83.3%) dominated rice farming. The economically active age group are 53%, the married group are 65.2%, those with at least six years of experience in rice farming are 74.2%, and 22.7% attained tertiary education. Further, the stochastic frontier result shows that improve rice seed and extension services positively affect rice production, while fertilizer negatively affects rice production. Further, the result shows that years of experience in rice farming reduces technical inefficiency. While qualification, age, and marital status reduce rice production. Therefore, the study recommends the provision of educational facilities for quality education. Expanding extension workers’ services to farmers, since one visit per crop season seems to be not enough to offer the necessary information to farmers. Finally, to attract experienced, educated young married farmers to partake in rice cultivation in the study area.

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 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.

scholarly journals Technical Efficiency of the Malaysian Wooden Furniture Industry: A Stochastic Frontier Production Approach

2010 ◽  
Vol 3 (3) ◽  
pp. 10 ◽  
Author(s):  
Alias Radam ◽  
Mohd Rusli Yacob ◽  
Huda Farhana Mohd Muslim
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Production Model ◽  
Furniture Industry ◽  
Conventional View ◽  
Maximal Output ◽  
Wood Furniture ◽  
Wooden Furniture ◽  
Medium Firms

Wood furniture industry is an important component in our manufacturing sector for it significantly contributes to the industrialization of Malaysia’s economy. Evaluating wood furniture industry’s level of efficiency is important to assist and provide a relative direction to small and medium firms on their business. The objective of this research is to examine the efficiency of wooden furniture industry by determining the technical efficiency using stochastic frontier production model. Results show that firm output is 54 per cent less than the maximal output which can be achieved from the existing inputs. The technical inefficiency on individual firm varies from 1.63 to 94.69 per cent and so does the potential to increase firm output from the existing inputs. This evidence suggests that many firms still operate below the efficiency level, confirming the conventional view that labor-intensive firms are most likely inefficient.

Paddy in saline water: Analysing variety-specific effects of saline water intrusion on the technical efficiency of rice production in Vietnam

2019 ◽  
Vol 48 (3) ◽  
pp. 237-245 ◽  
Author(s):  
Thi Huyen Trang Dam ◽  
TS Amjath-Babu ◽  
Peter Zander ◽  
Klaus Müller
Keyword(s):  
Technical Efficiency ◽  
Soil Salinity ◽  
Saline Water ◽  
Rice Variety ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Adaptation Measures ◽  
Saline Water Intrusion ◽  
Water Intrusion ◽  
The Impact

The purpose of our study is to evaluate the impact of saltwater intrusion on the productivity and technical efficiency (TE) of rice farms in Central Vietnam using the stochastic frontier (SF) production function. In contrast to existing studies, this research quantitatively analyses rice variety and season-differentiated impact of soil salinity (as measured by electrical conductivity (EC)) on the TE of rice production. The empirical results indicate that salinity induces significantly varying negative impacts on yield and technical inefficiency of rice farms depending on the salinity class, variety planted and the season. TE begins to sharply decline after reaching salinity class 3 (EC = 4–8 dS/m) and drops to zero under salinity class 4 (EC = 8–16 dS/m) unless salt-tolerant (ST) varieties are planted. A 1% increase in the EC level decreases rice yields by 0.24% in various SF models, while TE shows a cubic relationship with EC, with negative coefficients for linear and quadratic terms. A combination of farm plots consolidation, irrigation, integrated pest management, input optimisation and shifts in varietal selection can potentially offset the yield decline caused by saline intrusion for salinity classes 1 to 4, while adoption of ST varieties seems to be the best option for higher salinity classes over 4. These adaptation measures could also help farmers to avoid maladaptive options such as increased use of pesticide sprays to offset the yield losses due to soil salinity resulting from saline water intrusion. The insights offered by the study is applicable to coastal delta regions cultivating rice in whole of Asia and in other continents.

scholarly journals Profitability Comparison Between Boro Rice and Maize Production in Dinajpur District

2021 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
Rozina Yeasmin ◽  
Mohammad Saidur Rahman ◽  
Mohammad Ismail Hossain
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Cost Ratio ◽  
Maize Production ◽  
Frontier Analysis ◽  
Benefit Cost Ratio ◽  
Rice Farmers ◽  
Benefit Cost ◽  
Boro Rice

The study focuses on comparing technical efficiency and profitability between Boro rice farmers and maize farmers in Dinajpur district consisting of 150 randomly collected samples which are analyzed with statistical software STATA 12.0 version. Stochastic Frontier Analysis (SFA) is used to accomplish the first objective where it is found that the maize farmers are efficient compared to boro-rice farmers. The deviation of the mean technical efficiency is estimated at 0.09. In addition maize farmers are also more profitable than boro-rice farmers estimated with a benefit Cost Ratio (BCR) of1.08 is for boro-rice and 1.26 is for maize production. The net profit for boro-rice is estimated as 10,527.60 Tk./ha whereas 28,966.40 Tk./ha for maize producers. However mean technical efficiency of boro-rice (0.44) and maize (0.53) cultivation clearly indicates that better utilization of resources will raise the efficiency and profitability for both crops production. Res. Agric., Livest. Fish.8(1): 51-56, April 2021

scholarly journals Formation and Efficient Estimation of Stochastic Frontier Production Function

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
N. J Dhanesh
Keyword(s):  
Technical Efficiency ◽  
Production Function ◽  
Stochastic Frontier ◽  
Efficient Estimation ◽  
Production Functions ◽  
Production Model ◽  
Stages Of Growth ◽  
Stochastic Frontier Production Function ◽  
Plantation Crops ◽  
Frontier Production Function

Technological change and efficiency improvement are important sources of productivity growth in any economy. The concept of technical efficiency (TE) is based on input and output relationships. Technical inefficiency arises when actual or observed output from a given input mix is less than a possible mix. The analysis of technical efficiency involves the assessment of the degree to which the production technologies are utilized. The present investigation on “Formation and efficient estimation of stochastic frontier production functions” was carried out in the Department of Agricultural Statistics, College of Horticulture, Vellanikkara, during 2010 -13. To assess the present economics of pepper cultivation, to formulate a new stochastic frontier production function and to compare different stochastic frontier production functions. The secondary data on the area of holdings, number of vines, yield, expenses for machinery, labour, manure, and other expenses for the cultivation of the major spice pepper collected from the Department of Plantation Crops and Spices, College of Horticulture, Vellanikkara were used for the analysis. For the stochastic frontier production model to be realistic, an exact measurement of the cost of the inputs and the realized output is extremely necessary. Very few farmers keep records of the expenditure incurred on the various inputs and rarely the output realized. Vegetable crops have a short duration. So the farmer will be in a position to give realistic figures regarding the various inputs as also the outputs. As regards plantation crops, there will be a lag right from the establishment of the crop to the steady bearing stage. Therefore, it will be very difficult to trace back the exact cost, as no records would be available about the costs incurred. Therefore, a rapid estimation survey is the only feasibility wherein simultaneous estimation of the costs involved from the nursery through the various stages of growth can be observed. Since a farmer who is already having a steady-bearing crop would have incurred lesser costs through the previous stages of growth of the crop, it is most feasible to use the concept of present worth to arrive at the exact costs of previous stages of the crop. The stochastic frontier analysis was done using the present value (PV) and the present cost.

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