scholarly journals Technical Efficiency Of Upland and Downland Rice Farming In Border Area using MLE Frontier Production

2021 ◽  
Vol 748 (1) ◽  
pp. 012021
Author(s):  
E Jumiati ◽  
A Sulistyo ◽  
N Machmuddin ◽  
R Jafar
Keyword(s):  
Technical Efficiency ◽  
Influencing Factors ◽  
Food Sovereignty ◽  
Farm Size ◽  
Rice Farming ◽  
Food Crop ◽  
Border Area ◽  
Main Food

Abstract The background research was Indonesianagriculture development towards food sovereignty. Rice is the main food crop everywhere in Indonesia including in the border area. The isgeographical constrains on the fulfillment of farming input and the position of the research location makes this research necessary. The technical efficiency of upland and downland rice farming was estimated using MLE frontier production. The result showed that the level of the obtained technical efficiency for upland and downland rice farming was varying between 23%-99% and 88%-99%, respectively. Moreover, it was found that the influencing factors of technical efficiency were farm size, seed, herbicide, and labor.

scholarly journals Technical efficiency among agricultural households and determinants of food security in East Java, Indonesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rachman Hakim ◽  
Tri Haryanto ◽  
Dyah Wulan Sari
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Rice Farming ◽  
Logit Regression ◽  
Agricultural Households ◽  
And Gender ◽  
Using Data ◽  
Land Size ◽  
Average Consumption

AbstractRice is a staple food in East Java, and the average consumption is 100 kg/capita/year. However, rice productivity has declined dramatically in recent years. Food security can be reached by improving the technical efficiency of rice farming, especially in rice farming centers such as East Java Province. This study aims to measure technical efficiency and its determinants using two limit tobit. And it also aims to examine the effect of the technical efficiency of rice farming on food security using logit regression. Technical efficiency will be measured by using data envelopment analysis (DEA). The results show that the technical efficiency of rice farming is very low in East Java. Government assistance, irrigation, and extension have a significant effect on technical efficiency. Meanwhile, membership of farmer organization has no effect on technical efficiency. Around 69% of farmers can be categorized as food secure households. The estimation of logit regression shows that household size, income, land size, education, age, and gender significantly influence food security in East Java. Meanwhile, credit and technical efficiency did not have any significant effect.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

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 Inefficiency Determinants in Potato Production: The case of Potato Farmers in Central Highlands of Ethiopia

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Daniel Hailu ◽  
Keyword(s):  
Soil Fertility ◽  
Technical Efficiency ◽  
Land Tenure ◽  
Household Head ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Tobit Regression ◽  
Cross Sectional ◽  
Land Fragmentation

The study identified the factors that cause variation in the level of efficiency in potato production. The study used household level cross sectional data collected in 2015/16 from 196 sample farmers selected by multistage sampling technique. For the data collection, a personally administered structured questionnaire was used. In the analyses, descriptive statistics, a stochastic frontier model (SFM) and a two-limit Tobit regression model were employed. Tobit model revealed that technical efficiency was positively and significantly affected by education, land tenure status, extension service, credit and soil fertility whereas variables such as sex of household head, age of household head, farm size and land fragmentation affected it negatively. Therefore the study suggested the need for policies to discourage land fragmentation and promote education, extension visits, access to credit and soil fertility for improvement in technical efficiency.

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 MOTIVASI PETANI DALAM MEMPERTAHANKAN SISTEM TRADISIONAL PADA USAHATANI PADI SAWAH DI DESA PARBAJU JULU KABUPATEN TAPANULI UTARA PROPINSI SUMATERA UTARA

2011 ◽  
Vol 10 (1) ◽  
pp. 51-62
Author(s):  
. Reflis ◽  
M. Nurung ◽  
Juliana Dewi Pratiwi
Keyword(s):  
Formal Education ◽  
Family Members ◽  
Rank Correlation ◽  
Farming Systems ◽  
Farming System ◽  
Farm Size ◽  
Rice Farming ◽  
Traditional System ◽  
Size Number ◽  
Rainfed Farming

This research aims to identify factors correlated significantly to the motivation of farmers in perseving traditional rainfed farming systems, such as using local seeds and planting once a year.  The population of this study is farmer who still perform the traditional paddy farming system in the Village of North Tapanuli Parbaju Julu County North Sumatra Province. As much as 48 respondents randomly selected from 160 farmers.  A descriptive analyse and Spearman rank correlation are applied in this study.   The study showed that formal education, farmers' perception of the traditional system of rice farming are correlated significantly to farmer motivation in preserving tradional farming system while non-formal education, the traditional system of farming experience, farm size, number of family members are not.  Factors that correlated significantly to farmer motivation in maintaining local seed is non-formal education, farming experience, while the traditional system of formal education, farmers' perception of traditional rice farming system, farm size, number of family members are not correlated significantly.  Furthermore, the number of family members is merely factor that correlated significantly to the farmers motivation in maintaining once a year plantings while others factors are not correlated. Key words: farmer motivation, preserving, traditional farming

scholarly journals Technical Efficiency Assessment of Dairy Farm in the South-west Region of Bangladesh

2020 ◽  
pp. 21-28
Author(s):  
Fariha Farjana ◽  
Afia Khatun
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Percent Level ◽  
Dairy Farms ◽  
Farm Size ◽  
The South ◽  
Average Output ◽  
West Region ◽  
South West ◽  
South West Region

The paper concentrates on the measurement of the total factor productivity of dairy farms in the south-west region of Bangladesh. The study used stochastic frontier approach for analyzing the technical efficiency of the dairy farms. Here, seventy dairy farms are considered as a sample. The data reveals that the number of labor and the quantity of food are statistically significant at a 1 percent level of significance.The data also manifests that numerous farm-specific characteristics, i.e. farm size, farmer’s age, and amount of credit are statistically significant at 1 percent, 10 percent, and 10 percent respectively. The range of technical efficiency for the farms varies from 26 percent (minimum) to 95 percent (maximum) where the mean value is 68 percent for the dairy farms of the south-west region. This implies that an average output of milk production falls 32 percent short of maximum possible level. Hence, there is scope of improvement in this sector. Therefore, to improve the farm productivity government should provide proper training, and medical treatment facilities for the farms so that the animals become healthy. If it is possible to do so then the farm level production frontier will shift upward.

Systematic review and meta-regression analysis of technical efficiency in dairy farms

2016 ◽  
Vol 65 (3) ◽  
pp. 279-301 ◽  
Author(s):  
Taciana Mareth ◽  
Antonio Marcio Tavares Thomé ◽  
Fernando Luiz Cyrino Oliveira ◽  
Luiz Felipe Scavarda
Keyword(s):  
Systematic Review ◽  
Regression Analysis ◽  
Technical Efficiency ◽  
Geographical Location ◽  
Dairy Farms ◽  
Two Dimensions ◽  
Farm Size ◽  
Content Type ◽  
Meta Regression ◽  
Meta Regression Analysis

Purpose – The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach – The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings – The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value – This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement.

scholarly journals Measuring the Technical Efficiency of Certified Organic Rice Producing Farms in Yasothon Province: Northeast Thailand

2019 ◽  
Vol 11 (24) ◽  
pp. 6974
Author(s):  
Nalun Panpluem ◽  
Adnan Mustafa ◽  
Xianlei Huang ◽  
Shu Wang ◽  
Changbin Yin
Keyword(s):  
Technical Efficiency ◽  
Management Practices ◽  
Returns To Scale ◽  
Water Source ◽  
Rice Production ◽  
Farm Size ◽  
Significance Level ◽  
Organic Rice ◽  
Certified Organic ◽  
Constant Returns To Scale

Rice production holds a significant position in the Thai economy. Although it is the world’s largest rice exporter, Thailand’s increase in rice production is the result of an expansion in the cultivation area rather than an increase in yield per unit area. The present study was designed to estimate the technical efficiency and its governing factors for certified organic rice-growing farms in Yasothon Province, Thailand. A data envelopment model was employed to assess the technical efficiency of 328 farmer groups. The data revealed that the average technical efficiency was 23% and 28% under constant returns to scale (CRS) and variable returns to scale (VRS) specifications, respectively. Farmers can reduce the use of machinery, fertilizer, seed, and labor as input factors by about 80.1%, 25.62%, 24.72%, and 19.15%, respectively, while still achieving the same level of output. Multiple regression analysis was applied to estimate factors that affect the pure technical efficiency score (PTES) in the test regions. Results show that household size, farm size, water source, market accessibility, health symptoms, income, and labor were highly related to the TES and the amount of organic rice production. The regression coefficients of the predictors show that the income was the best predictor of the PTES at a significance level of p < 0.05. It is concluded that the farmers can potentially increase their yields by up to 72%–77% under current management practices.

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