scholarly journals A Study on Technical Efficiency of Rice Production in The Mekong Delta-Vietnam by Stochastic Frontier Analysis

10.5109/4553 ◽  
2003 ◽  
Vol 48 (1/2) ◽  
pp. 325-357
Author(s):  
Nguen Thi Minh Hien ◽  
Tsunemasa Kawaguchi ◽  
Nobuhiro Suzuki
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Mekong Delta ◽  
Rice Production ◽  
Frontier Analysis

scholarly journals Comparison of Cambodian Rice Production Technical Efficiency at National and Household Level

2017 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Stochastic Frontier Analysis ◽  
National Level ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Household Level ◽  
The Government ◽  
National Analysis

Rice is the most important food crop in Cambodia and its production is the most organized food production system in the country. The main objective of this study is to measure technical efficiency (TE) of Cambodian rice production and also trying to identify core influencing factors of rice TE at both national and household level, for explaining the possibilities of increasing productivity and profitability of rice, by using translog production function through Stochastic Frontier Analysis (SFA) model. Four-years dataset (2012-2015) generated from the government documents was utilized for the national analysis, while at household-level, the primary three-years data (2013-2015) collected from 301 rice farmers in three selected districts of Battambang province by structured questionnaires was applied. The results indicate that level of rice output varied according to the different level of capital investment in agricultural machineries, total actual harvested area, and technically fertilizers application within provinces, while level of household rice output varied according to the differences in efficiency of production processes, techniques, total annual harvested land, and technically application of fertilizers and pesticides of farmers. The overall mean TE was estimated at 78.4% (national-level) and 34% (household-level), indicates that rice output has the potential of being increased further by 21.6% (national production) and 66% (household) at the same level of inputs and technology if farmers had been technically efficient. The TE also recorded -7% decreasing rate at the national-level and -14.3% at household-level due to highly affected of natural disasters and various environmental and social factors during the study periods.

scholarly journals Closing yield gaps in Colombian direct seeding rice systems: a stochastic frontier analysis

2020 ◽  
Vol 38 (1) ◽  
pp. 110-119
Author(s):  
David Arango-Londoño ◽  
Julián Ramírez-Villegas ◽  
Camilo Barrios-Pérez ◽  
Osana Bonilla-Findji ◽  
Andy Jarvis ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Direct Seeding ◽  
Limiting Factors ◽  
Nitrogen Application ◽  
Irrigated Rice ◽  
Frontier Analysis ◽  
Yield Gaps

Rice is one of the most important crops in terms of harvested area and food security both globally and for Colombia. Improvement of technical efficiency levels in rice production in order to close yield gaps in a context in which rice demand increases, natural resources are depleted, and where there are growing expectations about both climate changes and trade agreements is likely the most important challenge that farmers confront. This research assessed the main management factors that limit both rice crop productivity and the likely drivers of non-optimal technical efficiency levels (a proxy for yield gaps). This study focused on both upland and irrigated direct seeding systems across a variety of environments in Colombia. Stochastic frontier models were used to integrate microeconomic theory and empirical regression analysis in conjunction with a large commercial rice production database developed by the Colombian rice growers’ federation (Fedearroz). A large variation was found in technical efficiency (from 40 to 95%) levels for both upland and irrigated systems, and major differences were obtained in the limiting factors of the two systems (e.g. seed availability, variety type, market accessibility, fertilizer type, and use rate). This suggests both substantial and varied opportunities for improvements in current technical efficiency levels. Across systems, the correct choice of variety was identified as a common key factorfor maximizing yield for a particular environment. For upland systems, optimal choices were F174 and F2000, whereas for irrigated rice F473 was found to produce the highest yield. Additionally, numerical analysis suggests a yield impact of ca. 0.18% for each 1% increase in the nitrogen application rate for upland systems. For irrigated rice, phosphorous rather than nitrogen application rates were found to be more important. Since our analysis is based on farm-scale commercial production data, we argue that once our results are brought to consensus with local extension agents, technicians and agronomists, then management recommendations for closing yield gaps can be used to improve rice productivity.

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).

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 Usahatani Padi di Jawa dan Luar Jawa, Kajian Prospek Peningkatan Produksi Padi Nasional

2021 ◽  
Vol 9 (2) ◽  
pp. 143-153
Author(s):  
Rivani Hilalullaily ◽  
Nunung Kusnadi ◽  
Dwi Rachmina
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Agricultural Land ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Frontier Analysis ◽  
Production Factors ◽  
Rice Consumption ◽  
Farmer Education ◽  
Almost All

Rice can grow in almost all of the islands in Indonesia, but 57 per cent of it was produced in Java, which is less than 10 per cent of the national area in Indonesia. To anticipate the increasing need for rice consumption, it is important to study the prospects for increasing national rice production, especially by utilizing the potential of agricultural land outside Java island. The purpose of this study was to identify the prospects for the development of national rice, especially outside Java island, from the perspective of rice production factors and technical efficiency at the farm level. Using stochastic frontier analysis, the translog production function showed that the increasing use of inputs (land, seeds, fertilizers, pesticides) will not significantly increase rice production both in Java and outside Java island (inelastic). Technical efficiency analysis indicated that rice production in Java and outside Java island was 28 and 39 per cent below its frontier, respectively.  Further analysis showed that irrigation, land status, farmer groups, and farmer education were significantly improved technical efficiency. This study concluded that the potential to increase rice production by increasing technical efficiency outside of Java island was greater than in Java island. However, increasing the efficiency of rice production outside Java may be constrained by the availability of irrigated agricultural land. To significantly increase national rice production both in Java and outside Java island, a breakthrough in new rice production technology is needed.

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.

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