scholarly journals Technical Efficiency of Cabbage Farming (Brassica oleracea) With Stochastic Frontier Analysis (SFA) Approach in Purwodadi - Pasuruan

HABITAT ◽  
2021 ◽  
Vol 32 (1) ◽  
pp. 26-36
Author(s):  
Suaibatul Miskiyah ◽  
Syafrial Syafrial ◽  
Sujarwo Sujarwo
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
High Efficiency ◽  
Sampling Technique ◽  
Influential Factors ◽  
Organic Fertilizers ◽  
Tobit Regression ◽  
Npk Fertilizers ◽  
Factors Affecting ◽  
Frontier Analysis

This study was aimed to analyze the factors affecting the cabbage production, the level of technical efficiency of cabbage farming, the factors affecting technical inefficiency, and the profits of cabbage farming. The location was determined purposively on the basis that it is the center of vegetable cultivation. The respondents were 67 farmers chosen using the Yamane formula sampling technique. This research used frontier software 4.1 data analysis method with Maximum Likelihood Estimation (MLE) approach and Tobit regression. The results showed that land, labor, seeds, organic fertilizers, urea fertilizers, za fertilizers and npk fertilizers were real influential factors. Meanwhile, pesticides were insignificantly influenced. The mean technical efficiency in the research site was 0.903 for the distribution of technical efficiency, so that the cabbage production was rated as high efficiency. Age, education and credit access dummy contributed a major impact on technological inefficiency. The income from cabbage farming per planting season per hectare was Rp35,524,300 from cash costs and Rp31,051,800 from total costs.

scholarly journals Stochastic Frontier Analysis on Technical Efficiency of Strawberry Farming in Purbalingga Regency Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 105
Author(s):  
Irene Kartika Eka Wijayanti, ◽  
Jamhari Jamhari, ◽  
Dwidjono, Hadi Darwanto ◽  
Any Suryantini
Keyword(s):  
Technical Efficiency ◽  
Formal Education ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Technical Inefficiency ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Central Java ◽  
Frontier Production Function ◽  
Central Java Province

The objective of this study is to determine technical efficiency and factors affecting technical inefficiency of strawberry farming in Purbalingga Regency. This study was conducted in Karangreja Subdistrict, Purbalingga Regency, Central Java Province. Purposive sampling method was utilized to select 100 farmers as the respondents. All of whom have been running their farm business for at least three years consecutively from 2015 to 2017. Stochastic frontier production function was applied to measure technical efficiency and factors affecting technical inefficiency. The findings show that strawberry farming in Purbalingga Regency, Central Java Province, is technically efficient with efficiency number varies between 26.50-99.40% and the average efficiency number of 77.80%. Furthermore, the results indicate that the farmers’ formal education and the number of household members significantly affect the technical efficiency of strawberry farming.

scholarly journals Technical Efficiency Analysis of Smallholder Cacao Plantations in Lampung Province

2017 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Dewi Mulia Sari ◽  
Anna Fariyanti ◽  
Netti Tinaprilla
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Group Membership ◽  
Stochastic Frontier ◽  
Rehabilitation Program ◽  
Cocoa Bean ◽  
Factors Affecting ◽  
Frontier Analysis ◽  
Grafting Technique ◽  
Cacao Plantation

<em>Low productivity is the main problem in smallholder cacao plantation. One effort to overcome the problem is through rehabilitation. The research aimed to (1) analyze the factors affecting cocoa bean production, (2) analyze technical efficiency level, and (3) analyze the factors affecting technical efficiency of smallholder cacao plantation in Lampung Province. The research was conducted in Tanggamus and Pringsewu Regency, Lampung, from September to November 2015. A purposive sampling was used which obtained 32 samples of farmers as respondents from rehabilitated plantation with side-grafting technique and non-rehabilitated plantation, respectively. Data were analyzed using stochastic frontier analysis. The results indicated 4 factors affecting smallholders cacao production in Lampung Province, namely land, chemical fertilizer, family-labour, and rent-labour. Smallholder cacao plantation in Lampung Province was technically efficient (0.82) which affected by farmers’ age, farmers’ dependents, farmers group membership, and side-grafting application. Rehabilitated smallholder cacao plantation also showed higher level (ET=0.92) than non-rehabilitated one (ET=0.73). The research implicates on increasing smallholder cacao productivity in Lampung Province, especially the local government, to put more priorities in those factors significantly affecting smallholder cacao production, as well as to give support and facilitate plant rehabilitation program using side-grafting  methods.</em>

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 Technical Efficiency Analysis of Wheat Crop in Arid Region of Punjab, Pakistan

2021 ◽  
pp. 1-9
Author(s):  
Muhammad Fahad Irfan ◽  
Muhammad Umer Afzal ◽  
Kaif Matloob ◽  
Irfan Ahmad Baig
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Analysis ◽  
Primary Data ◽  
Wheat Crop ◽  
Analysis Model ◽  
Frontier Analysis ◽  
The Mean

The present study aims to estimate the possible effects of credit on production of wheat crop in Chakwal. The research was based on primary data gathered from 120 farmers, selected by using random sampling technique belonging to two tehsils i.e. Talagang and Chakwal. SFA (Stochastic Frontier Analysis) model was adapted to analyze the data and the results show the mean technical efficiency of the wheat crop was 82 percent for borrowers and 76 percent for non-borrowers. The results proposed that the technical efficiency of wheat growers can be increased by increasing loan disbursement in the area.

An Efficiency Analysis of Micro Units in a Fragile Zone: A Panel Study of the Firms in J&K, India

2021 ◽  
pp. 097492922110448
Author(s):  
Javaid Iqbal Khan ◽  
Mehak Majeed ◽  
Saeed Owais Mushtaq
Keyword(s):  
Stochastic Frontier Analysis ◽  
Small And Medium Enterprises ◽  
Panel Study ◽  
Stochastic Frontier ◽  
Negative Relationship ◽  
Jel Classification ◽  
Tobit Regression ◽  
Jammu And Kashmir ◽  
Frontier Analysis ◽  
The Government

The micro, small and medium enterprises (MSMEs) are the backbone of the community development in the developing world. In the fragile and backward regions, it is the micro enterprise that is considered to be the engine of growth and development. Being labour-intensive and requiring lesser capital input, the micro unit start-ups demand lesser investment in plant and machinery, attracting more and more potential entrepreneurs. Over the time, such units gain experience and knowledge becoming more efficient. This article studies the firms located in the fragile and geographically remote region of Jammu and Kashmir. The article uses a panel of 15 years from 2002 to 2016 based on the Annual Survey of Industries data. Using the Stochastic Frontier Analysis, the article studies the MSMEs and the micro units. From the post-estimation, technical efficiency scores are attained for both MSMEs and the micro units. The results reveal that the micro units are more efficient than the MSMEs in general. Tobit regression is used to estimate the technical inefficiency model to determine the factors that contribute to the inefficiency present in the micro units. The results show that there is a negative relationship between the efficiency of the micro unit firms and the asset-liability ratio and the loan-liability ratio, while there is a positive relationship between the private ownership of the firm and the efficiency level. Age of the firm is considered separately to validate the ‘learning theory’ by Jovanovic. The article concludes by suggesting that the government must provide adequate boost and a big-push to the micro units in order to eradicate the widespread unemployment and fragility in the region. JEL Classification: F61, L25

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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