Technical inefficiency of wheat production in some selected areas of Bangladesh

The study estimated the profitability, farm specific technical efficiency of lentil growers and measured the impacts of different factors associated with technical efficiency of lentil farmers. The study employed farm level cross sectional data from three lentil growing districts namely Jessore, Meherpur and Natore of Bangladesh. The study revealed that HYV lentil is profitable than local variety. Cost of human labour, organic fertilizer, TSP, MoP and irrigation cost were found to contribute significantly in the efficiency of lentil farmers. The average technical efficiency of lentil growers in Bangladesh is 64 percent. This indicates a good potential for increasing lentil output by 36 percent with the existing technology and level of inputs. Farmers’ educations and training have positive significant effect on yield and efficiency of lentil production. Farmers faced some problems like disease infestation, lack of storage facilities, lack of knowledge, untimely rainfall, high price of input and unavailability of HYV seed. Therefore, researchers should develop integrated pest, disease and insect management schedule which are environment friendly and ecologically sound. Good quality seeds of lentil should be made available locally to the farmers at a reasonable price.Bangladesh J. Agril. Res. 43(1): 135-147, March 2018

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Comparative Analysis of Technical Efficiency of Wheat Production in Row Planting and Broadcasting Methods: Empirical Evidence from Southern Ethiopia

10.21203/rs.3.rs-18162/v1 ◽

2020 ◽

Author(s):

Assefa Ayele Anaye ◽

Kassa Tarekegn Erkalo

Keyword(s):

Technical Efficiency ◽

Stochastic Frontier ◽

Wheat Yield ◽

Sampling Procedure ◽

Sub Saharan Africa ◽

Southern Ethiopia ◽

Cross Sectional ◽

Technical Inefficiency ◽

Wheat Production ◽

The Government

Abstract Introduction Ethiopia is the largest wheat producer in Sub-Saharan Africa and wheat is one of the major staple food crops in many parts of the country. However, due to technical and socioeconomic factors the productivity of wheat is below the estimated potential. As a result of this the country remains a net importer of wheat. To improve this problem, row planting of wheat with improved level of efficiency becomes more crucial. This study was aimed to measure technical efficiency, yield gap due to inefficiency and identify the factors that influence the efficiency levels of wheat producers’ row planting and broadcasting methods in Hadiya zone, southern Ethiopia. Cross sectional data from 203 farmers from both row planting and broadcasting methods were selected using multistage sampling procedure and analyzed using stochastic frontier Cobb–Douglas production. Results and Conclusions Descriptive results indicated that the average wheat output in row planting (3250 kg/ha) was 1360 kg/ha higher than in broadcasting (1890 kg/ha). The estimated results of the Cobb-Douglas frontier model shows that the mean technical efficiency was 83.4% and 57.8% under row planting and broadcasting respectively. About 646.882 kg/ha under row planting and 1393.038 kg/ha under broadcasting of wheat output was lost due to inefficiency. This reveals that under the existing practices there is a room to increase wheat yield more under broadcasting (42.2%) than row planting (16.6%) following the best-practiced farms in the study area. The SPF model indicates that NPS, urea, labor and seed, are significant determinants of wheat production level in both methods. The estimated SPF model together with the inefficiency parameters shows that education, age, fertility status of the plot, family size and extension contact negatively and significantly affected technical inefficiency whereas land fragmentation positively and significantly affected technical inefficiency of wheat farmers. Hence, emphasis should be given to improve the efficiency level of those less efficient farmers by adopting the practices of relatively efficient farmers in the area. Beside this, policies and strategies of the government should be directed towards the above mentioned determinants.

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Land Fragmentation, Technical Efficiency, and Adaptation to Climate Change by Farmers in the Gamo Highlands of Ethiopia

Sustainability ◽

10.3390/su122410304 ◽

2020 ◽

Vol 12 (24) ◽

pp. 10304

Author(s):

Tesfaye C. Cholo ◽

Jack Peerlings ◽

Luuk Fleskens

Keyword(s):

Climate Change ◽

Technical Efficiency ◽

Land Management ◽

Management Practices ◽

Stochastic Frontier ◽

Adaptation To Climate Change ◽

Cross Sectional ◽

Land Fragmentation ◽

Large Yield ◽

Yield Gaps

Although barley production is vulnerable to the impacts of climate change, households in the Gamo Highlands of Ethiopia rely on barley for their diet and allocate most of their highly-fragmented land to barley production. Moreover, farmers alter land management practices as a strategy to adjust to climate change and variability. However, to what extent land fragmentation and land management jointly influence the technical efficiency of barley production is unknown. In addition, it is unidentified whether technical efficiency is uniform across multiple separated plots. In this study, we adapted two stochastic frontier panel models on plot-level cross-sectional data to investigate this. The model results indicate that fragmentation influences the effect of land management practices on efficiency. The study found that efficiency was not uniform across different plots and for different farmers and showed the existence of large yield gaps. To close these gaps, policies designed to address the specific components of inefficiency need to be implemented.

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Technical efficiency of wheat farmers and options for minimizing yield gaps in Afghanistan

Outlook on Agriculture ◽

10.1177/0030727016689632 ◽

2017 ◽

Vol 46 (1) ◽

pp. 13-19 ◽

Cited By ~ 2

Author(s):

Srinivas Tavva ◽

Aden Aw-Hassan ◽

Javed Rizvi ◽

Yashpal Singh Saharawat

Keyword(s):

Technical Efficiency ◽

Production Systems ◽

Stochastic Frontier ◽

Agricultural Practices ◽

Potential Yield ◽

Wheat Varieties ◽

Wheat Production ◽

Large Yield ◽

Yield Gaps ◽

Effective Transfer

Afghanistan is a net importer of wheat which is the staple food in the country. In order to improve the levels of food sufficiency, prevailing large yield gaps in wheat need to be reduced. This study assessed the reasons/factors influencing low wheat productivity and/or large yield gaps in different production systems in five major wheat-producing provinces in Afghanistan using a stochastic frontier production function model. The results indicated that the mean technical efficiency of wheat farmers was 0.67, and there was clear scope to improve wheat production by 33% in the short run with the same level of inputs. The potential yield gap could be reduced if adoption of good agricultural practices such as the use of improved wheat varieties with recommended seed rates was promoted through more effective transfer of technologies (training and extension) in the target provinces. Such efforts would help improve domestic wheat production and reduce dependency on wheat imports.

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Stochastic Meta Frontier Analysis of Smallholder Rice Farmers’ Technical Efficiency

Journal of Agricultural Science ◽

10.5539/jas.v11n8p31 ◽

2019 ◽

Vol 11 (8) ◽

pp. 31 ◽

Cited By ~ 1

Author(s):

Korotoumou Mariko ◽

Moussa Macalou ◽

Li Xiangmei ◽

Eunice Matafwali ◽

John-Philippe Essiagnon Alavo ◽

...

Keyword(s):

Technical Efficiency ◽

Negative Impact ◽

Household Head ◽

Rice Paddy ◽

System Of Rice Intensification ◽

Cross Sectional ◽

Technical Inefficiency ◽

Frontier Analysis ◽

Rice Farmers ◽

The Mean

The aim of this study is to compare the technical efficiency of System of Rice Intensification (SRI) and Conventional Rice Production System (CRPS) farmers in Mali. Using cross-sectional data for 208 randomly selected rice farmers, the Stochastic Meta Frontier model is applied. The results indicate that the mean technical efficiency is 0.96 and 0.79 for SRI and CRPS respectively. This implies that SRI farmers were more technically efficiency than their counterpart. Similarly, the mean technology gap ratio was 0.98 and 0.91 for SRI and CRPS farmers, respectively. We also find that rice paddy production (SRI) was positively influenced by labor and negatively by organic manure while rice paddy production (CRPS) was positively linked with inorganic fertilizer and land. Further investigation reveals that family labor and flooding level increased the technical inefficiency for SRI adopters whereas education had a negative impact. For the CRSP farmers, the current factors were unable to account for technical inefficiency except age of farm household head. Our study finds strong cause to encourage SRI adoption as it could be the highly searched for solution for farmers to increase their yields and eventually enhance their food security status.

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Technical Efficiency of Barley Production: The Case of Smallholde Farmers in Meket District, Amhara National Regional State, Ethiopia

10.20944/preprints201801.0253.v1 ◽

2018 ◽

Author(s):

Getachew Wollie

Keyword(s):

Technical Efficiency ◽

Smallholder Farmers ◽

Barley Seed ◽

Stochastic Production Frontier ◽

Cross Sectional ◽

Technical Inefficiency ◽

Regional State ◽

Negative Effect ◽

The Government ◽

Stage Estimation

This study analyzed the technical efficiency of barley production by smallholder farmers in Meket district, Amhara National Regional State, Ethiopia. A cross sectional data from a sample of 123 barley producers during the 2016/17 production season was collected by applying two stage random sampling. To address the objective of the study, both descriptive statistics and econometric models were used to analyze the data.  The trans-log functional form of the production function simultaneously with single stage estimation approach was used to estimate the production of barley output and technical inefficiency factors. The estimated stochastic production frontier model indicated that input variables such as fertilizer, human labor and oxen power were the significant variables to increase the quantity of barley output while, barley seed had a negative effect. The estimated mean levels of technical efficiency of the sample farmers were about 70.9% which revealed that, presence of a room to increase their technical efficiency level on average by 29.1% with the existing resources. The discrepancy ratio gamma indicated that 63% of the total variation from the frontier comes due to technical inefficiency while, the remaining 37% comes due to factors outside the control of farmers. Among the hypothesized factors that affect technical inefficiency; education level, extension contact and number of barley plots significantly and negatively affected technical inefficiency score. Besides, practice of crop rotation, distance of residence from the nearest main market, total expenditure and soil fertility was found to have a positive and significant effect. Hence, emphasis should be given to decrease the inefficiency level of those more inefficient farm households via experience sharing among the farmers and usage of improved or certified barley seed. Besides to this, policies and strategies of the government should be directed towards increasing farmers’ education, improve the system of input distributions and institutional facilities.

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Technical Efficiency of Barley Production: The Case of Smallholde Farmers in Meket District, Amhara National Regional State, Ethiopia

10.20944/preprints201801.0253.v2 ◽

2018 ◽

Author(s):

Getachew Wollie

Keyword(s):

Technical Efficiency ◽

Smallholder Farmers ◽

Barley Seed ◽

Stochastic Production Frontier ◽

Cross Sectional ◽

Technical Inefficiency ◽

Regional State ◽

Negative Effect ◽

The Government ◽

Stage Estimation

This study analyzed the technical efficiency of barley production by smallholder farmers in Meket district, Amhara National Regional State, Ethiopia. A cross sectional data from a sample of 123 barley producers during the 2016/17 production season was collected by applying two stage random sampling. To address the objective of the study, both descriptive statistics and econometric models were used to analyze the data.  The trans-log functional form of the production function simultaneously with single stage estimation approach was used to estimate the production of barley output and technical inefficiency factors. The estimated stochastic production frontier model indicated that input variables such as fertilizer, human labor and oxen power were the significant variables to increase the quantity of barley output while, barley seed had a negative effect. The estimated mean levels of technical efficiency of the sample farmers were about 70.9% which revealed that, presence of a room to increase their technical efficiency level on average by 29.1% with the existing resources. The discrepancy ratio gamma indicated that 63% of the total variation from the frontier comes due to technical inefficiency while, the remaining 37% comes due to factors outside the control of farmers. Among the hypothesized factors that affect technical inefficiency; education level, extension contact and number of barley plots significantly and negatively affected technical inefficiency score. Besides, practice of crop rotation, distance of residence from the nearest main market, total expenditure and soil fertility was found to have a positive and significant effect. Hence, emphasis should be given to decrease the inefficiency level of those more inefficient farm households via experience sharing among the farmers and usage of improved or certified barley seed. Besides to this, policies and strategies of the government should be directed towards increasing farmers’ education, improve the system of input distributions and institutional facilities.

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An Estimation of Technical Efficiency of Tea Smallholdings in Ratnapura District of Sri Lanka

Journal of Education and Vocational Research ◽

10.22610/jsds.v10i4(s).2839 ◽

2020 ◽

Vol 10 (4(S)) ◽

pp. 1-11

Author(s):

Sandunika Jayakody ◽

Sajitha Dishanka

Keyword(s):

Sri Lanka ◽

Technical Efficiency ◽

Negative Impact ◽

Stochastic Production Frontier ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Technical Inefficiency ◽

Credit Access ◽

Significant Negative Impact ◽

Tea Plants

While accepting the fact that the tea smallholdings sector of Sri Lanka immensely contribute to the annual tea output of the economy, the sector still faces various deficiencies due to problems pertaining to input related issues. Measuring the level of efficiency and identifying the factors which are attributed to inefficiency are in utmost importance in introducing remedies for that. A cross sectional survey was conducted on a sample of tea smallholders in Ratnapura district where highest contribution to the total tea production of the country is made. In this study, the Cobb-Douglas Stochastic production frontier model was used by incorporating the technical inefficiency effect model to estimate the level of technical efficiency in tea smallholdings sector. The study revealed that average technical efficiency of tea smallholdings sector in the study area was 87.36 percent that keeps a margin of 12.64 percent for further improvements through better use of available resources and technology. The results of the Cobb-Douglas model revealed that the estimated coefficients of land, labor and fertilizer are positively and significantly affect the green leaves production of the sector. The findings of the inefficiency model disclosed that age, farming experience, level of education, occupation, age of tea plants, farming group membership and credit access have significant negative impact on technical inefficiency

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Estimation of Technical Efficiency of Micro and Small-Scale Manufacturing Enterprises in Selected Towns of Jimma Zone, Oromia National Regional State

Journal of Economics and Behavioral Studies ◽

10.22610/jebs.v11i4(j).2923 ◽

2019 ◽

Vol 11 (4(J)) ◽

pp. 88-101

Author(s):

Haile Girma ◽

Gadisa Abera Dinka ◽

Mohammedsani Ali Gelan

Keyword(s):

Technical Efficiency ◽

Value Added ◽

Raw Material ◽

Small Scale ◽

Cross Sectional ◽

Technical Inefficiency ◽

Manufacturing Enterprises ◽

Regional State ◽

Jimma Zone ◽

The Government

This study was conducted to estimate the technical efficiency of micro and small-scale manufacturing enterprises in Selected Towns of Jimma Zone, Oromia National Regional State by using the Stochastic Frontier Approach. The analysis used Cross-sectional data which was collected from 343 Micro and small-scale manufacturing enterprises in 2018. The finding shows the mean technical efficiency of sampled Micro and Small-Scale Manufacturing Enterprises is about 54.8% and output value-added is positively affected by capital input and raw material, but negatively affected by labor input. The finding from the inefficiency model indicates that technical inefficiency of sampled Micro and Small-Scale Manufacturing Enterprises is negatively affected by the amount of finance used for initial investment expenses; lower for enterprises which received land from the government, participate only in “Ekub”, participate in both “Ekub” and “Edir”. However, seasonal change in demand for a product is found to make technical inefficiency of enterprises higher. Thus, by improving Micro and Small-Scale Manufacturing Enterprises access to land, market, sufficient

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