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>

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 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.

scholarly journals EFFICIENCY OF ZAKAT MMANAGEMENT OORGANIZING (OPZ) IN INDONESIA

2020 ◽  
Vol 16 (1) ◽  
pp. 112-149
Author(s):  
Roikhan Mochamad Aziz
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Data Envelopment ◽  
Output Variable ◽  
Personnel Costs ◽  
Operational Costs ◽  
Input Variables ◽  
Using Data

National charity potential in Indonesia is very large, but not comparable to the fact that the number accumulation ZIS in Indonesia. Then, needs to be done to optimize the potential of zakat is one of them with efficiency. The purpose of this study was to determine the level of efficiency of Zakat Management Organization (OPZ). The sampling technique used in this research is purposive sampling by taking a sample of 2 organizations zakat is BAZNAS and PKPU. The data used in this research is secondary data obtained from financial statements published by BAZNAS and PKPU. Measurement of efficiency in this study using Data Envelopment Analysis (DEA).Input variables used in this study is the operational costs and personnel costs, while the output variable is the receipt and disbursement of zakat. Results from this study showed that only BAZNAS who always achieve efficiency levels of 100 percent during 2011-2013, while PKPU experiencing fluctuating conditions of efficiency. On average achievement BAZNAS efficiency from 2011 through 2013 is equal to 100 per cent, while the average achievement of efficiency PKPU fluctuated during the period 2011-2013 amounted to 52.13 percent.

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