Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis

Parichatnon, Surakiat; Maichum, Kamonthip; Peng, Ke-Chung

doi:10.17221/19/2016-agricecon

Cited by 9 publications

(11 citation statements)

References 61 publications

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“…It is suggested that extension workers visit farmers to guide them in the best practices for managing inputs. This could result in the enhancement of technical, allocative, and economic efficiency for these rice farmers and thus increase production and yield to meet food security needs, which is the most important issue worldwide [31]. We recommend the following.…”

Section: Technical Efficiencymentioning

confidence: 99%

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

et al. 2019

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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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Section: Technical Efficiencymentioning

confidence: 99%

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

et al. 2019

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“…Charnes et al (1978) presented a way of solving this function using the concept of Farell and Fieldhouse (1962), who were the first to attempt to use linear programming to measure efficiency (Førsund and Sarafoglou, 2002;Chang and Guh, 1991). Detailed information on the DEA method has been presented, among others, in the publications by Banker et al (1984), Cooper et al (2006), Zijiang (2006), Kočišová (2016), Parichatnon et al (2018).…”

Section: Methodsmentioning

confidence: 99%

Technical Efficiency of Dairy Farms: An Empirical Study of Producers in Poland

Wilczyński¹,

Kołoszycz²,

Świtłyk³

2020

ERSJ

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Abstarct:Purpose: The main objective of this article was to determine the technical efficiency of Polish dairy farms in 2008-2017, taking into account the dependence on the herd size, the milk yield of cows and the effects of scale. Design/Methodology/Approach: The non-parametric DEA method based on the concept of border efficiency was used to assess technical efficiency. The research uses models assuming constant (CCR) and variable returns to scale (BCC). The source of the data was information collected by the Farm Accountancy Data Network (FADN) in Poland. Data came from farms specializing dairying (type 45), with more than 15 cows. Findings: The results of the conducted research indicate a higher share of efficient farms using the model assuming variable returns to scale. The average efficiency ratio increased along with the increase in the size of the herd of cows and the improvement in the milk yields of cows. Practical Implications: The results of this study will be used to determine rationally the combination of inputs in dairy production. The result of these activities is an increase of efficiency and the use of economies of scale. The article clearly presents among which farm groups exists the lowest efficiency (cow herd size and milk yield). Originality/Value: The study fills a gap in approach methods to conducting research on dairy farm efficiency. On the one hand, the value of the article is built by the size of observation field, on the otherdairy farms classification by cow herd size and milk yield.

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“…Analytical Hierarchy Process (AHP) method [4] was employed to determine service criteria quality in rice mills which then used to measure efficiency in further method. Data Envelopment Analysis method was employed to determine efficient relativity [6] in defining efficient rice mill location.…”

Section: Methodsmentioning

confidence: 99%

A Proposal on Efficiency Measuring of Rice Milling Process by Using Ahp / Dea Method

Ekawati

2019

JEMIS

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Indonesia is a country which becomes the third largest producer of rice in the world. However, Indonesia still carries out rice importing and the rice is classified high-priced. One of the factors causing those problems is the lack of efficiency of rice milling process. Pandeglang Regency is a region which has the largest rice field in Banten. As the largest agricultural territory and a qualified rice producer, it must be possible to have rice-milling means. The rice-milling process does not always produce a constant output amounts, it can be increased or decreased, despite the use of a constant input amounts. Thus, efficiency measuring of rice-milling process is needed to find out the output increase or input decrease used in ricemilling process in order to reach an efficient point. Method applied in measuring the efficiency is AHP/DEA method. Based on acquired research results, the efficiency level at the research location was 90.01% in which from 11 rice-milling processes there was one inefficient rice-milling process which was the C rice-milling process.

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Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis

Cited by 9 publications

References 61 publications

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

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

Technical Efficiency of Dairy Farms: An Empirical Study of Producers in Poland

A Proposal on Efficiency Measuring of Rice Milling Process by Using Ahp / Dea Method

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