scholarly journals The Determinants of Technical Efficiency of Hazelnut Production in Azerbaijan: An Analysis of the Role of NGOs

2019 ◽  
Vol 11 (16) ◽  
pp. 4332 ◽  
Author(s):  
Orkhan Guliyev ◽  
Aijun Liu ◽  
Gershom Endelani Mwalupaso ◽  
Jarkko Niemi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Stakeholder Involvement ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
Government Organizations ◽  
Good Organization

The role of non-government organizations (NGOs) has been commendable in promoting sustainable farming. Through mobilization of existing resources and provision of training to farmers on various agriculture subjects, NGOs could trigger increased productivity and agricultural sustainability. However, empirical evidence on this claim is limited and no study recognizes the supporting conditions required for NGO intervention to improve productivity. Cross-sectional data from hazelnut farmers in Azerbaijan are used to evaluate the role of NGO intervention in improving farmers’ technical efficiency. To this end, stochastic frontier analysis (SFA) is applied to study hazelnut farmers’ production efficiency. Three different measures are employed to estimate NGO intervention: Training, subsidy and, a combination of training and subsidy. The results indicate that NGO intervention is not significant in influencing technical efficiency. This is attributable to the absence of good organization, innovation orientation, accountability and stakeholder involvement and support which are the necessary supporting conditions facilitating an enabling environment for NGO intervention to improve farmers’ technical efficiency. Therefore, we recommend policy directed at addressing these issues in order to simultaneously enhance farmers’ productivity and improve the functioning of the NGOs. Beyond NGO intervention, encouraging farmers to specialize in hazelnut production and allocating more suitable land for hazelnut production will also improve farmers’ technical efficiency significantly.

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 Women Participation: A Productivity Strategy in Rice Production

2020 ◽  
Vol 12 (7) ◽  
pp. 2870 ◽  
Author(s):  
Abubakar Rasheed ◽  
Gershom Endelani Mwalupaso ◽  
Qasir Abbas ◽  
Xu Tian ◽  
Rafay Waseem
Keyword(s):  
Technical Efficiency ◽  
Rural Economy ◽  
Poverty Reduction ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Women's Participation ◽  
Development Goals

Agriculture is an important engine for economic growth and a vigorous driver of poverty reduction in developing countries. In Pakistan, rice production is one of the most essential sectors. However, it has been underperforming, largely because of low women’s participation, which is often a crucial resource in agriculture and the rural economy. Unfortunately, previous studies have seldom recognized and emphasized the role of women in triggering agricultural and rural development. We address this research gap using 300 farm households’ survey data forms collected from Pakistan farmers by applying the stochastic frontier analysis. The results indicate that women’s participation is associated with higher labor/land ratio, land productivity, and finally improved technical efficiency. Precisely, women’s participation increased technical efficiency (TE) by 47.3%. Interestingly, in view of previous studies, this evidence is not sporadic. Overall, our study provides some evidence to promote women’s participation in rice production, as such empowerment of women holds great potential to enhance agricultural production, which is consistent with the aim of sustainable development goals (SDGs).

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.

scholarly journals The Role of Agricultural Extension Worker and Babinsa TNI According to the Farmer's Perspective on The Implementation of Rice UPSUS Program in Gorontalo

2019 ◽  
Vol 15 (2) ◽  
pp. 275-285
Author(s):  
Jaka Sumarno ◽  
Awaludin Hipi ◽  
Ari Widya Handayani ◽  
Ari Abdul Rouf
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Simple Random Sampling ◽  
Measuring Method ◽  
Agricultural Extension ◽  
Field Extension ◽  
Rice Production ◽  
Frontier Analysis

This study aims to analyze the role of Babinsa-TNI and field extension worker (PPL) assistance to the implementation of UPSUS programs and the success of UPSUS targets (increased production). The study was conducted at the UPSUS rice production center in Gorontalo Province, i.e; Bone Bolango District, Gorontalo Regency and North Gorontalo Regency. Sampling was done by simple random sampling method involving 162 respondent farmers during 2017. The measuring method to the role of Babinsa-TNI and field extension worker wasdone by Work Achievement Value Standard. The influence of Babinsa-TNI and field extension workerwas analyzed using the production analysis method usingproduction function of Cobb-Douglas stochastic frontier analysis. The results showed that the average Babinsa-TNI and field extension workerhad good performance in terms of high scoring value indicator. The Babinsa-TNI assistance in implementing the UPSUS program has a significant effect on increasing production and technical efficiency of rice production. The assistance of agricultural extension worker also has a positive effect on increasing production and technical efficiency of rice production.

scholarly journals Analisis Efisiensi Teknis pada Usaha Peternakan Sapi Perah Rakyat di Kecamatan Lembang (Technical Efficiency Analysis of Smallholder Dairy Farming at Lembang)

1970 ◽  
Vol 4 (2) ◽  
pp. 46-56
Author(s):  
Anggraeni Efrika Cahyawati ◽  
Bagus Priyo Purwanto ◽  
Suryahadi Suryahadi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farming ◽  
Ratio Test ◽  
Frontier Analysis ◽  
Lactating Cows ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farming

This study aims to analyze the level of techincal production efficiency of smallholder dairy farming at Lembang, West Java Province. Data were collected from selected 60 farmers by using proportionate stratified judgemental sampling method. The respondents were categorized into two groups based on lactating cow : category 1 = 1-5 lactating cows, and category 2 = 6-10 lactating cows. Each category comprised of 30 respondents. The data analysis in this study used stochastic frontier production. The result of the analysis of category 2 indicated that the presence of technical inefficiency had effects in milk production by the significant estimated gamma coefficient, the likelihood ratio test and the predicted technical within farmers. The estimated gamma parameter (ɣ) of model for production function was 0.99, indicating about 99 percent of variation in output milk among farmers was due to differences in their technical efficiencies. The result indicated that smallholder dairy farming in Lembang is efficient with an average of technical efficiency of 91 percent. Factors influencing production efficiency are farmer's age, farming experience, and livestock ownership.Keywords : dairy farms, technical efficiency, stochastic frontier analysis

scholarly journals Estimating Efficiency Performance of Decision-Making Unit by using SFA and DEA Method: A Cross-Sectional Data Approach

2018 ◽  
Vol 7 (4.33) ◽  
pp. 25
Author(s):  
Roslah Arsad ◽  
Zaidi Isa ◽  
Siti Nabilah Mohd Shaari
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Parametric Models ◽  
Comparative Performance ◽  
Cross Sectional ◽  
Frontier Analysis ◽  
Decision Making Unit ◽  
Dea Method

In this paper, a cross-sectional samples data of 115 Malaysian stocks have been employed to compare both Data Envelopment Analysis (DEA) method and Stochastic Frontier Analysis (SFA) method. These approaches are used to provide a review of frontier conceptual measurement, strength and limitation of the parametric and non-parametric models. Stochastic frontier production function of Cobb-Douglas type was utilized for the estimation. The function was estimated using the maximum likelihood estimation technique. Two models in DEA, DEA-CCR and DEA-BCC are applied in this study and the ranking correlation between SFA method and both models DEA are determined by using the Spearman rank method. The result revealed using SFA, the mean technical efficiency of sample consumer product companies is 37.5% and implies that companies operating at means level of technical efficiency could produce 80.1% more output for given level of inputs if they become technically more efficient. From empirical results of the SFA method, we determined that the deviations from the efficient frontiers of production functions are largely attributed to inefficiency effects (technical inefficiency). Finally, the findings also showed that the difference in ranking stocks performance using DEA-CCR, DEA-BCC and SFA methods. The main contribution of the paper is showing the comparative performance based on both model, DEA and SFA method using financial ratio.  

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.

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