scholarly journals Factors Affecting Technical Efficiency of Rubber Smallholders in Negeri Sembilan, Malaysia

2017 ◽  
Vol 9 (5) ◽  
pp. 226
Author(s):  
A. Aliyu ◽  
Ismail Abd Latif ◽  
Mad Nasir Shamsudin ◽  
Nolila Mohd Nawi
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Likelihood Function ◽  
Stochastic Frontier ◽  
Efficiency Score ◽  
Farm Size ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
The Mean ◽  
Size Task

The main objective of the study was to figure out, identify and analyse the technical efficiency of rubber smallholders’ production in Negeri Sembilan, Malaysia. Multi-stage data collection procedures, comprising both purposive and random sampling techniques, were used. Using structured questionnaires, farm-level information with cross sectional data from five districts of Negeri Sembilan, were employed in the study. A parametric Stochastic Frontier Analysis (SFA), with a transcendental logarithmic (Translog) functional form, was used in the study. The descriptive statistics results revealed that, the mean rubber yield was 5465 kg while that of the seven inputs used include 1.2 ha, 602.7, 2.33, 363.6 kg, 13.0 lit, 13.2 man days and 2.47 respectively for farm size, task, farm tools, fertilizer, herbicides, labour and rubber clones.The inferential statistics showed that, the mean technical efficiency was found to be 0.73 with a standard deviation of 0.089. Thus, this translates that 27% accounted for technical inefficiency. Both the sigma square and gamma coefficients were found to be statistically significant at 1% level. The Log Likelihood Function (LLF) and the Log Rati (LR) test were found to be respectively 167.7 and 34.07. The results further revealed that, although none of the farms were found to be on the frontier, however, 9 farms were very near the frontier with efficiency score range between 0.90-0.99. And twenty (20) firms have range 0.80-0.90. Race, Tapping experience, household number and extension agent’s visits were found to be technically significant and are thus critical in determining technical efficiency of rubber smallholders in Negeri Sembilan, Malaysia.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

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 Technical Efficiency among Pepper Farmers in Sarawak, Malaysia: A Stochastic Frontier Analysis

2020 ◽  
Vol 10 (3) ◽  
pp. 729-739
Author(s):  
Anita Rosli ◽  
Alias Radam ◽  
Khalid Abdul Rahim ◽  
Amin Mahir Abdullah
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Agricultural Practices ◽  
Piper Nigrum ◽  
Maximum Output ◽  
Full Time ◽  
Frontier Analysis ◽  
One Step ◽  
The Mean

This study aimed to estimate the technical efficiency among pepper (Piper nigrum. L) farmers in Sarawak, Malaysia, using Stochastic Frontier Analysis (SFA). SFA involves a one-step process that can estimate technical inefficacy factors simultaneously with the production frontier. 678 pepper farmers were involved in this study, and the data were collected from 2012 to 2013. The mean score for technical efficiency was 0.518, indicating that pepper farmers were not efficient. However, the inefficiency model showed that education level, membership in farmers’ association, full-time as a pepper farmer, attending courses and visiting sample farms were factors that significantly improved inefficiency. The major problem of pepper farming in Sarawak is poor agricultural practices where farmers do not fully utilize the available agricultural inputs to produce maximum output. Based on the findings, farmers must improve their knowledge and skills in pepper farming through agronomic education.

scholarly journals Measuring Technical Efficiency of Wheat Farms in Punjab, Pakistan: A Stochastic Frontier Analysis Approach

2019 ◽  
Vol 7 (1) ◽  
pp. 115
Author(s):  
Muhammad Aamir Shahzad ◽  
Amar Razzaq ◽  
Muhammad Aslam ◽  
Muhammad Faisal Gulzar ◽  
Muhammad Asad ur Rehman Naseer ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficiency Improvement ◽  
Panel Survey ◽  
Frontier Analysis ◽  
Input Use ◽  
The Mean ◽  
Potential Maximum ◽  
Management Issues

The wheat productivity in Punjab is less than the potential maximum due to imbalanced input use and farm management issues. Many studies have attemped to estimate technical efficiency of wheat crops using different techniques. However, most of them used limited datasets that focus on only a few districts. This study study uses a comprehensive dataset which is representive of Punjab province. We used farm-level panel survey data collected from 1581 farms in 17 districts of Punjab from 2005-06 to 2007-08. The technical efficiency of the wheat farms was analyzed using Stochastic Frontier Analysis (SFA) approach. Further, we identified the determinants of (in)efficiency using the same method. The results show that the mean technical efficiency of wheat farmers in Punjab is 84 percent indicating a considerable room for efficiency improvement. Further, the results indicate that technical efficiency could be improved by educating the younger farmers, building road infrastructure, and improving farmers’ access to essential inputs. The study supports the argument that wheat farmers are less technically efficient in Punjab, Pakistan.

scholarly journals Profiling Smallholder Farmers Goals and Aspirations for Enhanced Agricultural Development: a Case of Smallholder Maize Farmers

2017 ◽  
Vol 9 (4) ◽  
pp. 98
Author(s):  
Fakunle Olufemi Oyedokun ◽  
Zhou Leocadia
Keyword(s):  
Technical Efficiency ◽  
Agricultural Development ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Principal Component ◽  
Descriptive Statistics ◽  
Policy Makers ◽  
Frontier Analysis ◽  
The Mean

The intervention of government in the development of smallholder agriculture is still grappling and has not yielded the desired results, despite the huge investment from government. This has been a source of concern to government and policy makers. This paper sought to analyze the socio-demographic features of the smallholder maize farmers; profile the goals and aspirations of these farmers; and lastly, to analyze the technical efficiency of maize farmers. Qamata and Tyefu in the Transkei and Ciskei homelands, respectively were purposively chosen for the study. Descriptive statistics; Principal component analysis (PCA) and stochastic frontier analysis (SFA) were used in the analysis. The result shows, that majority (66%) of the farmers were males with an average range of 61 years old. On the other hand, the PCA indicated that there is a variation between predicted goals and aspiration among maize farmers. The SFA result showed that farmers were efficient. The mean technical efficiency estimates up to 100%, an indication that farmers are more efficient in the usage of factors of production at their disposal in the study area. This implies that smallholder maize farming is lucrative due to its profit-making potentials. Moreover, this is a clear indication that more income and wealth is generated thereby implying that it is strategic and pivotal in improving farmers’ livelihoods

scholarly journals Farm Structure And Efficiency In The Hungarian Agriculture

2015 ◽  
Vol 4 (2) ◽  
pp. 51-56
Author(s):  
Orsolya Tóth ◽  
István Takács
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Empirical Literature ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Legal Forms ◽  
On Farm

Abstract It has long been the subject of empirical researches to examine the technical efficiency on farm (micro) level. Two main methods are most often used in the empirical literature: the non-parametric Data Envelopment Analysis (DEA) based on linear programming, and the Stochastic Frontier Analysis (SFA) introduced by Aigner, Lovell and Schmidt (1977). The present study aimed to investigate the technical efficiency of farms involved in agricultural activities in Hungary using the DEA-method and the data from the Hungarian FADN database. The technical efficiency was examined based on legal forms, farm size categories and the type of farming between 2001 and 2013.

scholarly journals Estimation of technical efficiency of Czech farms operating in less favoured areas

2019 ◽  
Vol 65 (No. 10) ◽  
pp. 445-453
Author(s):  
Tamara Rudinskaya ◽  
Tomas Hlavsa ◽  
Martin Hruska
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Agricultural Area ◽  
Farm Size ◽  
Identification System ◽  
Accounting Data ◽  
Frontier Analysis ◽  
The Impact

This paper deals with the technical efficiency analysis of farms in the Czech Republic. The empirical analysis provides an evaluation of technical efficiency with regard to the farm size, farm specialisation, and farm location. Accounting data of Czech farms from the Albertina database for the years 2011–2015 were used for the analysis. The data were classified by the utilised agricultural area and location of the farm expressed as a less favoured area type from the Land Parcel Identification System (LPIS) database. Research was conducted using the translogarithmic production function and Stochastic Frontier Analysis. The results indicate positive impact of farm size, expressed by utilised agricultural area, on technical efficiency. The analysis of the impact of farm specialisation on technical efficiency verified that farms specialised on animal production are more efficient. The lowest technical efficiency is shown by farms situated in mountainous Less Favoured Areas (LFAs), the highest technical efficiency by farms located in non-LFA regions.

scholarly journals Technical Efficiency of Cassava Production in Ardo-Kola Local Government Area of Taraba State, Nigeria

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Emmanuel A. Zubairu ◽  
Andefikir D. Kasari ◽  
Abubakar U. Jongur
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Extension Agents ◽  
Frontier Analysis ◽  
Cassava Production

— This study used stochastic frontier Analysis to estimate the technical efficiency of cassava production in Ardo-kola Local Government Area of Taraba state. A multi-stage sampling was employed in selecting 142 respondents in the study area. The maximum likelihood estimates of the stochastic frontier production function revealed that farm size, family labour, cassava cutting planting and fertilizer were significantly and positively related to cassava output. Technical efficiency (TE) scores ranged from 0.43 to 0.96 with a mean TE of 0.74, implying that there is a scope for increasing technical efficiency in cassava production by 0.26 in short run under current technology. The study proffered the following recommendations; That Cassava farmers should have access to extension agents to increase their probability of being productive and efficient, policy should be targeted to provide adequate training to extension agents to enhance their performance to their clientele.

scholarly journals Profiling Smallholder Farmers Goals and Aspirations for Enhanced Agricultural Development: a Case of Smallholder Maize Farmers

2017 ◽  
Vol 9 (4(J)) ◽  
pp. 98-106
Author(s):  
Fakunle Olufemi Oyedokun ◽  
Zhou Leocadia
Keyword(s):  
Technical Efficiency ◽  
Agricultural Development ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Principal Component ◽  
Descriptive Statistics ◽  
Policy Makers ◽  
Frontier Analysis ◽  
The Mean

The intervention of government in the development of smallholder agriculture is still grappling and has not yielded the desired results, despite the huge investment from government. This has been a source of concern to government and policy makers. This paper sought to analyze the socio-demographic features of the smallholder maize farmers; profile the goals and aspirations of these farmers; and lastly, to analyze the technical efficiency of maize farmers. Qamata and Tyefu in the Transkei and Ciskei homelands, respectively were purposively chosen for the study. Descriptive statistics; Principal component analysis (PCA) and stochastic frontier analysis (SFA) were used in the analysis. The result shows, that majority (66%) of the farmers were males with an average range of 61 years old. On the other hand, the PCA indicated that there is a variation between predicted goals and aspiration among maize farmers. The SFA result showed that farmers were efficient. The mean technical efficiency estimates up to 100%, an indication that farmers are more efficient in the usage of factors of production at their disposal in the study area. This implies that smallholder maize farming is lucrative due to its profit-making potentials. Moreover, this is a clear indication that more income and wealth is generated thereby implying that it is strategic and pivotal in improving farmers’ livelihoods

The Effects of Improved Cassava Variety Adoption on Farmers’ Technical Efficiency in Indonesia

2021 ◽  
Vol 11 (4) ◽  
pp. 269-278
Author(s):  
Syafrial ◽  
Hery Toiba ◽  
Moh Shadiqur Rahman ◽  
Dwi Retnoningsih
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Probit Regression ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Farm Work ◽  
The Impact

The adoption of technological innovations, such as an improved variety, has been widely promoted worldwide to improve agricultural productivity. This study aimed to examine factors affecting farmers’ decision to adopt a new improved cassava varieties (NICV), and to estimate the effects of NICV adoption on farmers’ technical efficiency. This research used cross-sectional data from 300 cassava farmers in East Java, Indonesia. Furthermore, the data were analyzed by probit regression to examine factors affecting farmers’ decision to adopt NICV. Propensity score matching (PSM) procedures and stochastic frontier analysis were applied to evaluate the impact of NICV adoption on farmers’ technical efficiency. The results indicated that adoption was highly influenced by cooperative membership, access to credit, internet access, certified land, and off-farm work. The stochastic frontier analysis, by controlling the matched sample using PSM procedures, demonstrated that NICV adoption positively and significantly impacted farmers’ technical efficiency. Those who adopted NICV showed a higher technical efficiency level than those who did not. This finding implies that improved varieties could be further promoted to increase productivity. The research suggests that there is a need to improve NICV adoption to increase the levels of technical efficiency and productivity.

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