Organic Production Practices and Technical Inefficiency of Durian Farms in Thailand

Krasachat, W.

doi:10.1016/s2212-5671(12)00178-5

Cited by 10 publications

(7 citation statements)

References 11 publications

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“…The higher the education level of farmers, the better their ability to apply technology and allocate available resources efficiently. This result agrees with that of Mohapatra (2011;Krasachat, 2012), who concluded that education significantly contributed to increasing the efficiency of agriculture.…”

Section: Factors Affecting Technical Efficiencysupporting

confidence: 93%

Factors that Influence Rice Production and Technical Efficiency in the Context of an Integrated Crop Management Field School Program

Rasyid

Setiawan

Mustadjab

et al. 2016

American Journal of Applied Sciences

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This research estimates the effect of production input on rice production and the effect of socioeconomic factors on the technical efficiency of rice farms in the program of the Integrated Crop Management Field School (ICMFS). Data were collected from 78 rice farmer household heads from two randomly chosen villages in Indonesia. The results show that seed, fertilizer, pesticide and labor significantly positively affect rice production. Socioeconomic factors such as farmer age, education and experience, the number of household members and the frequency of visiting the ICMFS field laboratory had significant positive effects on the level of technical efficiency. Thus, the ICMFS, by continuing to increase ICMFS program to the people of rural areas and by taking into account socioeconomic status of farmers, can improve rice farming production and efficiency.

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Section: Factors Affecting Technical Efficiencysupporting

confidence: 93%

Factors that Influence Rice Production and Technical Efficiency in the Context of an Integrated Crop Management Field School Program

Rasyid

Setiawan

Mustadjab

et al. 2016

American Journal of Applied Sciences

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“…To select a formula of production function, Translog and Cobb-Douglas production functions have been developed and utilized in several previous papers (Krasachat, 2012). The technical efficiency value estimated by incorrect production function specification can be biased (Latruffe et al, 2004).…”

Section: Model Specificationmentioning

confidence: 99%

Key Factors for Improving Technical Efficiency of Upland Rice Production

Athipanyakul

Jitsaeng

Pongkapan

et al. 2014

American Journal of Applied Sciences

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Food security problems are major issues in developing countries, especially under the conditions of restricted farm resources and environmental degradation. The re-allocation of existing farm resources in the upland in order to reach a production of maximum output under given technologies and the estimated value of the technical efficiency have been important information for this purpose. The objective of this study, therefore, was to measure the technical efficiency of upland rice production in Thailand. The identification of key factors to improve the technical efficiency was additionally carried out. A stochastic frontier approach with the Cobb-Douglas production function was applied. Data used in this study has been drawn from 181 farmers. The findings showed that on average the technical efficiency was 0.70 and the rank of its value varied from 0.22 to 0.94. A significant factor affecting the technical efficiency has been support in terms of transforming knowledge through a training program on upland rice production. Farmers, who grew upland rice for both household consumption and for commercial purposes, had a better performance than those who grew upland rice only for home consumption.

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“…By integrating a large amount of modern human capital and science and technology to realize the unity of economic, social production efficiency using DEA, was made and "default production function" was replaced with "non-default production function" and studied with the agricultural productivity in the United Kingdom combined with the mathematical programming model (Farrell, 1957;Hanley and Oglethorpe, 1998). Subsequently, the DEA model was used to calculate the technical efficiency of Swedish dairy farms and Thai farms (Krasachat, 2009;Hasanov and Nomman, 2011;Fahim and Sathi, 2018). In other studies, DEA method was employed to analyze agricultural production efficiency and related influencing factors detailed of Uzbekistan, Indian states and Brazilian states (Theodoridis, 2014;Ray and Ghose, 2014;Souza and Gomes, 2015).…”

Section: O P Ymentioning

confidence: 99%

Determination of environmental effects on production efficiency of agricultural demonstration zones

Wu¹,

Zhang²,

Quan³

2019

JEB

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The present study aimed to solve the problems that the production efficiency of national modern development area, and the influence of environment effect on agricultural production efficiency. Based on the input-output data of 51 modern agricultural demonstration zones in Shandong Province in 2015, a three-stage DEA model was used for study. In the first stage, the traditional efficiencies were calculated depended on the original inputs and outputs, and input slacks were evaluated. In the second stage, the impacts of external environment and statistic noise were removed by SFA model, and inputs were adjusted. At last, the third stage efficiencies were calculated depended on the result of SFA model. The results show that under the influence of environment effect and random error factors, the agricultural production efficiency measured before and after the adjustment of input factors had changed obviously. Farmers' income level, urbanization level, financial support level and rural informatization level have significant influence on the input factor redundancy. Compared with the results of the first and third stage DEA model, the average technical efficiency of demonstration zone increased from 0.79 to 0. 83, the average pure technical efficiency increased from 0.90 to 0.91, and the average SE increased from 0.88 to 0.90. According to the best conditions to improve the efficiency of agricultural production, the demonstration zones should combine their own characteristics and policy-driven force, make rational allocation of agricultural production factors, improve the level of agricultural technology, promote the reform of production methods, and optimize the development environment. Agricultural production efficiency, Environment effect, Modern agricultural demonstration zone, Three-stage DEA Determination of environmental effects on production efficiency of agricultural demonstration zones

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Organic Production Practices and Technical Inefficiency of Durian Farms in Thailand

Cited by 10 publications

References 11 publications

Factors that Influence Rice Production and Technical Efficiency in the Context of an Integrated Crop Management Field School Program

Factors that Influence Rice Production and Technical Efficiency in the Context of an Integrated Crop Management Field School Program

Key Factors for Improving Technical Efficiency of Upland Rice Production

Determination of environmental effects on production efficiency of agricultural demonstration zones

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