scholarly journals Productivity of Timber Processing in Ondo State, Nigeria

2012 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Adegboyega Eyitayo Oguntade ◽  
Temitope Enitan Fatunmbi ◽  
Joshua Adio Folayan
Keyword(s):  
Data Envelopment Analysis ◽  
Sampling Technique ◽  
Fixed Cost ◽  
Data Envelopment ◽  
Forest Reserve ◽  
Scale Size ◽  
Multi Stage ◽  
Ondo State ◽  
Using Data ◽  
Most Productive Scale Size

<p>This study is aimed at evaluating the efficiency of timber processors in Ondo State, Nigeria, using Data Envelopment Analysis. Multi stage sampling technique was used to select two Local Government Areas with the highest number of sawmills, from each of which twenty saw millers were randomly selected, given a total of forty saw millers. Based on Constant Return to Scale Technical Efficiency, 35% of the saw millers were technically efficient while on the basis of Variable Return to Scale TE, 60% of the saw millers were technically efficient. About 35% of the saw millers were scale efficient. The Data Envelopment Analysis output revealed that 35% of the sampled saw millers were both technically and scale efficient and were hence operating at the most productive scale size. About 65% of the saw millers were operating at sub-optimal condition. Excesses in input utilization were observed in respect of total fixed cost, costs of electricity, servicing of mill, timber from forest reserve and operation of truck; and remuneration of labour. The inefficient firms should be encouraged to emulate the operating practices of the most productive firms so as to improve their performance.</p>

Most productive scale size decomposition for multi-stage systems in data envelopment analysis

2018 ◽  
Vol 120 ◽  
pp. 279-287 ◽  
Author(s):  
Saeed Assani ◽  
Jianlin Jiang ◽  
Rongmei Cao ◽  
Feng Yang
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Scale Size ◽  
Multi Stage ◽  
Most Productive Scale Size

Estimating most productive scale size with double frontiers data envelopment analysis

2013 ◽  
Vol 33 ◽  
pp. 182-186 ◽  
Author(s):  
Ying-Ming Wang ◽  
Yi-Xin Lan
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Scale Size ◽  
Most Productive Scale Size

Estimating most productive scale size with imprecise-chance constrained input–output orientation model in data envelopment analysis

2012 ◽  
Vol 63 (1) ◽  
pp. 254-261 ◽  
Author(s):  
R. Eslami ◽  
M. Khodabakhshi ◽  
G.R. Jahanshahloo ◽  
F. Hosseinzadeh Lotfi ◽  
M. Khoveyni
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Input Output ◽  
Orientation Model ◽  
Scale Size ◽  
Most Productive Scale Size ◽  
Constrained Input

scholarly journals Efficiency of Large Firms Operating in the Croatian Food Industry: Data Envelopment Analysis

2020 ◽  
Vol 17 ◽  
Keyword(s):  
Data Envelopment Analysis ◽  
Food Industry ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Large Firms ◽  
Industry Data ◽  
Scale Size ◽  
Using Data ◽  
High Level

The aim of this research was to estimate the overall technical, pure technical and scale efficiency of large firms operating in the Croatian food industry. The analysis was conducted using Data Envelopment Analysis, while applying both, CCR and BCC output-oriented model. With this approach, it was possible to identify efficient firms that can serve as examples of the best operating practice, as well as those inefficient firms which need to improve their performance. The obtained results revealed a high level of achieved overall technical, pure technical and scale efficiency, as well as the fact that firms in this industry mainly over-utilize the existing scale size.

ESTIMATING THE EFFICIENCY OF PAHANG RUBBER SMALLHOLDERS USING DATA ENVELOPMENT ANALYSIS APPROACH

2016 ◽  
Vol 78 (12-3) ◽  
Author(s):  
Na’imah Ali ◽  
Noor Asiah Ramli ◽  
Faridah Zulkipli
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Input Output ◽  
Monthly Income ◽  
Constant Return ◽  
Optimal Input ◽  
Scale Size ◽  
Using Data

RISDA has targeted for the income of each smallholder to be at least RM2500 per month by the end of 2015. However, approximately almost 90% of the smallholders’ monthly income is still below the target. Hence, in order to observe if this target is achievable, a study was conducted to evaluate the efficiency level of producing rubber among 95 rubber smallholders in Pahang. In addition, the study also investigated if there was any opportunity for increment of production among the rubber smallholders. Therefore, the Data Envelopment Analysis (DEA) model, under the assumption of Variable Return to Scale (VRS) and Constant Return to Scale (CRS), was used to analyse the scale and the technical efficiency of the smallholders. Scale Efficiency was measured in order to estimate the return to scale of the smallholders. As a result, the study found that the average Overall Technical Efficiency (OTE) and Pure Technical Efficiency (PTE) scores of the smallholders were 43.47% and 43.78%, respectively. Thus, the majority of the smallholders were not technically efficient in producing rubber. Furthermore, based on the return to scale estimated, 41% of the smallholders were operating under the Increase Return to Scale (IRS), which implied that the smallholders had a sub-optimal scale size. The results obtained had been useful as the optimal input-output for the efficient rubber yield can be determined and may help RISDA, as well as agricultural planners, to devise a strategy in order to increase the productivity of rubber smallholders in Malaysia.   

scholarly journals The Efficiency of Garlic Supply Chain Actors Measured using Data Envelopment Analysis (DEA) Method in Karanganyar, Indonesia

2020 ◽  
Vol 35 (2) ◽  
pp. 168
Author(s):  
Betha Wahyuningtyas ◽  
Kusnandar Kusnandar ◽  
Sutrisno Hadi Purnomo
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Sampling Technique ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Snowball Sampling ◽  
Method Performance ◽  
Decision Making Unit ◽  
Dea Method ◽  
Using Data

<p>One of the obstacles to the development of agribusiness is related to supply chain management. The availability of supply is the most important factor in influencing supply chain performance. Without a stable and routine supply, supply chain performance will be disrupted. Karanganyar Regency is one of the production centers of horticultural commodities, particularly garlic. This study aimed to analyze the efficiency of each garlic supply chain actor in Karanganyar Regency. The research was conducted from March to April 2019. The efficiency of each supply chain actor in this study was measured using Data Envelopment Analysis (DEA) method. Performance measurement was done through the DEA approach and the performance attributes were input and output variables. The respondents observed were 50 farmers and 13 supply chain actors working in institutions. The samples of farmers were taken using purposive sampling technique, while the samples of supply chain actors were obtained using snowball sampling. The results have shown that the most efficient supply chain actors were retailers with an efficiency value of 1 (100%), while inefficient supply chain actors were farmers with an average efficiency value of 0.709. From a total of 50 Decision Making Unit (DMU) of total farmers, 13 DMU (26%) were efficient, while 37 DMU (74%) were inefficient and further need improvements, like using certified seeds and suitable fertilizer recommendations, as well as reducing external labor during the process of maintenance, harvesting and post-harvest. Farmers are expected to have the desire to learn from referral farmers.</p>

scholarly journals Estimating Most Productive Scale Size in Data Envelopment Analysis with Integer Value Data

2018 ◽  
Vol 300 ◽  
pp. 012014
Author(s):  
Yunita Dwi Sari ◽  
Layla Angria S ◽  
Syahril Efendi ◽  
Muhammad Zarlis
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Scale Size ◽  
Most Productive Scale Size
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