Impact of Management Practices on Persistent and Residual Technical Efficiency - a Study of Swedish pig Farming

2016 ◽  
Vol 38 (6) ◽  
pp. 890-905
Author(s):  
Gordana Manevska-Tasevska ◽  
Helena Hansson ◽  
Katarina Labajova
Keyword(s):  
Technical Efficiency ◽  
Management Practices ◽  
Pig Farming

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.

scholarly journals Technical efficiency of wheat growing farmers of Nepal

2021 ◽  
Vol 4 (2) ◽  
pp. 246-254
Author(s):  
Surya Prasad Adhikari ◽  
Yuga Nath Ghimire ◽  
Krishna Prasad Timsina ◽  
Sanjiv Subedi ◽  
Meena Kharel
Keyword(s):  
Technical Efficiency ◽  
Weed Management ◽  
Management Practices ◽  
Likelihood Estimation ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Sowing Time ◽  
Wheat Varieties ◽  
Stochastic Production ◽  
Significant Factors

Wheat is a major staple food crop of Nepal, so it is necessary to increase its productivity. However, the national average wheat productivity of Nepal is low as compared to other neighboring countries. This study employed a Cobb-Douglas stochastic production frontier model to examine the technical efficiency and its determinants using randomly selected household data from 343 wheat farmers from four districts of Nepal. Maximum likelihood estimation results showed that wheat production responded positively to an increase in the quantity of inorganic fertilizer, whereas it was detrimental to seed rate. Likewise, the study found that farmers were not technically efficient with a mean technical efficiency of 81%. The result showed irrigation, herbicides, sowing time, Farm Yard Manure (FYM), and wheat varieties were statistically significant factors that affect the technical efficiency of wheat farmers. Furthermore, to increase wheat productivity, farmers should use better irrigation, appropriate weed management practices, optimum sowing time, and adoption of recent improved varieties. Findings suggest that the technical efficiency of wheat farmers could be enhanced by practicing optimum use of inputs and improving the inefficiency factors

scholarly journals Technical Efficiency and Its Determinants of Rice Production in Cambodia

2016 ◽  
Author(s):  
Sokvibol Kea ◽  
Hua Li ◽  
Linvolak Pich
Keyword(s):  
Technical Efficiency ◽  
Capital Investment ◽  
Management Practices ◽  
Central Government ◽  
Technical Skills ◽  
Rice Production ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Rural Farmers ◽  
Stochastic Production

The present study aims to measure the technical efficiency and establish core factors effecting rice production in Cambodia. Four-years dataset generated from the central government document &ldquo;Profile on Economics and Social&rdquo; of entire 25 provinces between 2012-2015 and the stochastic production frontier model (SFA) was applied. The results indicated that the technical efficiency of Cambodian rice production varied according to the different level of capital investment in agricultural machineries, total rice actual harvested area, and technically fertilizers application within provinces. Furthermore, evidence revealed the overall mean efficiency of rice production is 78.4% implies that there is still room to further improve technical efficiency by given the same level of inputs and technology. More importantly, the findings revealed that irrigation, production technique and amount of agricultural supporting staffs are being as the most important influencing factors of rice production in Cambodia. In conclusion, present study strongly recommends the development of irrigation systems and good water management practices to be considered and bring into more effective actions by the central government as well as related agencies for improving rice production in Cambodia in addition to capital investment and improving technical skills of supporting staffs and rural farmers.

scholarly journals Land Fragmentation, Technical Efficiency, and Adaptation to Climate Change by Farmers in the Gamo Highlands of Ethiopia

2020 ◽  
Vol 12 (24) ◽  
pp. 10304
Author(s):  
Tesfaye C. Cholo ◽  
Jack Peerlings ◽  
Luuk Fleskens
Keyword(s):  
Climate Change ◽  
Technical Efficiency ◽  
Land Management ◽  
Management Practices ◽  
Stochastic Frontier ◽  
Adaptation To Climate Change ◽  
Cross Sectional ◽  
Land Fragmentation ◽  
Large Yield ◽  
Yield Gaps

Although barley production is vulnerable to the impacts of climate change, households in the Gamo Highlands of Ethiopia rely on barley for their diet and allocate most of their highly-fragmented land to barley production. Moreover, farmers alter land management practices as a strategy to adjust to climate change and variability. However, to what extent land fragmentation and land management jointly influence the technical efficiency of barley production is unknown. In addition, it is unidentified whether technical efficiency is uniform across multiple separated plots. In this study, we adapted two stochastic frontier panel models on plot-level cross-sectional data to investigate this. The model results indicate that fragmentation influences the effect of land management practices on efficiency. The study found that efficiency was not uniform across different plots and for different farmers and showed the existence of large yield gaps. To close these gaps, policies designed to address the specific components of inefficiency need to be implemented.

Measurement of Technical and Scale Efficiency of Dairy Farms in Pune District of Maharashtra: Data Envelopment Analysis Approach

2021 ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Management Practices ◽  
Dairy Farms ◽  
Herd Size ◽  
Efficiency Score ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Resource Saving ◽  
Technical Efficiency Score

The present study intended to determine the technical and scale efficiency of sample dairy farms for evaluating their performance. Data Envelopment Analysis (DEA) technique was used to estimate the technical and scale efficiency of 80 each of member and nonmember dairy farms in the Pune district of Maharashtra state during 2019. Technical efficiency score further partitioned into pure technical efficiency and overall technical efficiency. The technical efficiency score was more for member dairy farms as compared to the non-members under the assumption of constant return to scale (CRS) and variable return to scale (VRS). It highlighted that the non-members of dairy cooperatives had more potential to reduce the input use without affecting the output level compared to the member group. It was also observed that the technical efficiency under the CRS assumption was more than VRS for both member and non-member groups. It revealed that the farms were scaled inefficient (SE<1) and not operating at optimal scale. The study further revealed a positive relationship between technical efficiency and herd size. It also revealed that the resource-saving potential due to the scale effect. So, it supported the policy of providing technical advice on the use of feed and fodder resources, better management practices, and increasing the herd size to increase the technical and scale efficiency.

scholarly journals GLOBAL SOURCING AND TECHNICAL EFFICIENCY – A FIRM-LEVEL STUDY ON THE ICT INDUSTRY IN SWEDEN

2017 ◽  
Vol 18 (5) ◽  
pp. 877-896 ◽  
Author(s):  
Martin ANDERSSON ◽  
Trudy-Ann STONE
Keyword(s):  
Technical Efficiency ◽  
Manufacturing Industry ◽  
Management Practices ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Efficient Production ◽  
Global Sourcing ◽  
Firm Level ◽  
Frontier Analysis ◽  
International Sourcing

We analyse the relationship between international sourcing, measured as imports of intermediate inputs, and the technical efficiency of firms in the information and communications technologies (ICT) manufacturing industry in Sweden. Using stochastic frontier analysis, we provide evidence that global sourcing improves firms’ capabilities to combine and re-combine inputs in productive ways, thereby increasing technical efficiency. We find a robust relationship between technical efficiency and international outsourcing. First, we find that firms that are deeply integrated into global sourcing networks are closer to their own production frontier. Second, firms that are engaged in international sourcing are also closer to the industry efficiency frontier. These findings are consistent with the argument that international sourcing stimulates firms’ capabilities by enabling them to identify and adopt higher quality inputs or more efficient production and management practices. These findings also suggest that the variety and extent of firms’ global sourcing networks constitute an important source of differences in efficiency levels among firms the ICT manufacturing industry.

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