scholarly journals The efficiency analysis of organic and conventional olive farms: Case of Turkey

2010 ◽  
Vol 56 (No. 2) ◽  
pp. 89-96 ◽  
Author(s):  
M.M. Artukoglu ◽  
A. Olgun ◽  
H. Adanacioglu

This paper investigates technical and economically efficiency of 62 organic and 62 conventional olive producing farms in Turkey. According to the study results; by using the CRS model which is input and output-oriented, the average technical efficiency of organic olive farms is 67.68%, the average technical efficiency of conventional olive farms is 47.93%. The technical efficiency of the output-oriented VRS model is 74.78%, and the technical efficiency of the input-oriented VRS model is 93.46%. Also, considering the same model, the average efficiency of the conventional olive farms in the input and output are 59.58% and 94.97%, respectively. Therefore, according to the Data Envelopment Analysis, the technical efficiency in conventional olive farms is less than in the organic ones. When the farms have been evaluated one by one in the light of the total potential improvement values, inputs and outputs, improvement is needed in all values.

2019 ◽  
Vol 2 (2) ◽  
pp. 82-89
Author(s):  
Nor Tasik Misbahrudin

Waqf is a voluntary charity that cannot be disposed of and the ownership cannot be transferred once it is declared as waqf assets. Waqf institutions play an important role in helping the development of Muslims ummah through wealth distribution. State Islamic Religious Councils (SIRCs) in Malaysia are the sole trustee that manage and develop waqf assets. Based on selected input and output, the intermediary approach assumes that cash waqf received as output while total expenditure of SIRCs as input. Under this approach SIRCs act as intermediary between waqif (giver) and beneficiaries. Thus, this paper attempts to analyze the efficiency of waqf institutions in Malaysia by using Data Envelopment Analysis (DEA) method under output-orientation using Variable Return to Scale (VRS) assumptions. Four SIRCs were selected as decision making units (DMU) for the period of 2011 to 2015. The result indicates that changes in average technical efficiency for every year is contributed by both pure technical and scale. However, inefficiency of Malaysian waqf institutions is mostly contributed by pure technical efficiency aspects rather than scale. 2012 showed the highest average technical efficiency with 73.9% as most of the institutions operated in optimum level of input to produce output. Thus, the result suggests that both technical and scale efficiency should be improved to achieve the most efficient and productive level of performance in order to fulfill objectives of the institutions as an intermediary between waqif and beneficiaries.


2017 ◽  
Vol 23 (6) ◽  
pp. 787-795 ◽  
Author(s):  
Joanicjusz NAZARKO ◽  
Ewa CHODAKOWSKA

The primary problems pertaining to productivity or – more precisely – efficiency are: how to define it and how to measure it. This article studies technical efficiency in Stochastic Frontier Analysis (SFA) – the input-oriented frontier model – in the construction industry and compares it with Data Envelopment Analysis (DEA) results. The models ex­plored in this paper were constructed on the basis of two outputs and personnel cost as an input. The research sample consisted of European countries. The aim was to determine whether there are substantial differences in estimation of ef­ficiency derived from those two alternative frontier approaches. The comparison of results according to the models may translate into higher reliability of the undertaken labour efficiency analysis in construction and its conclusions. Although the results are not characterized by high compatibility, the conducted analysis indicated the most attractive countries taking into account labour cost to profit and turnover ratios of enterprises. One of the determinants which should not be ignored when analysing the labour efficiency is the level of development of a country; however, it is not the sole factor affecting the efficiency of the sector.


Author(s):  
Alina Syp ◽  
Adam Kagan ◽  
Dariusz Osucha

The aim of the study was to present changes in the efficiency of farms specializing in crops and pigs production in the Lublin province. To perform the analysis the empirical data for large crop and pig farms collected in Polish FADN system in the years 2014-2016 were applied. The level of efficiency was determined using input oriented Data Envelopment Analysis (DEA) models. In the studied years, in the field crops farms ratios of technical efficiency and scale efficiency remained at the same level, whereas the value of pure technical efficiency slightly increased. In the pig holdings, all efficiency indices have deteriorated. Comparing the average efficiency results according to farm specialization it was found that filed crops farms were more efficient than crop farms.


2018 ◽  
Vol 64 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Miroslav Kovalčík

AbstractEfficiency improvement is important for increasing the competitiveness of any sector and the same is essential for the forestry sector. A non-parametric approach – Data Envelopment Analysis (DEA) was used for the assessment of forestry efficiency. The paper presents the results of the efficiency evaluation of forestry in European countries using DEA. One basic and two modified models (labourandwood sale) were proposed, based on available input and output data from Integrated Environmental and Economic Accounts for Forests and specific conditions of forestry also. The sample size was 22 countries and the data for 2005–2008 was processed. Obtained results show average efficiency in the range of 69 – 90% (depending on the model). Based on the results of the analysis following can be concluded: Slovak forestry achieved under average efficiency in comparison to other European countries, there were great differences in efficiency among individual countries; state of economy (advanced countries and countries with economy in transition) and region did not influence the efficiency statistically significant.


2018 ◽  
Vol 7 (1) ◽  
pp. 114-121
Author(s):  
U. Mahmudah ◽  
S. Suhartono ◽  
A. D. Rohayana

The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores. However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. Besides, it is a powerful approach to estimate technical efficiency when outliers contaminate the data set. Statistical data from general senior secondary schools in the period 2015/2016 is analyzed, using 34 provinces as decision-making units (DMUs), with eight input and six output variables. The results indicate that the average efficiency score of Indonesia’s major political subdivisions in managing high school education is 0.936. Furthermore, as many as 32.35 percents of provinces achieve efficient performances, with an efficiency score equal to one, while 17 provinces have above average efficiency scores.  The results also indicate that efficiency scores from robust data envelopment analysis provide better accuracy. Overall, application of robust data envelopment analysis (RDEA) is appropriate for measuring the efficiency of provincial performance in organizing secondary education.


2020 ◽  
Vol 22 (1) ◽  
pp. 25-40
Author(s):  
Saswat Barpanda ◽  
Neena Sreekumar

Performance analysis in any industry plays a vital role in understanding the current scenario and thereby improving the overall efficiency. Using a sample of 20 hospitals randomly selected in Kerala, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using data envelopment analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. DEA can be used to benchmark both dimensions of hospital performance, that is, technical efficiency and quality. The variables selected for the study were divided under input and output measures. Using the DEA model, the factors considered were weighed and analysis was done. The input variables under study are bed number, trained medical staff and services offered. The output variables considered were outpatient rate, mortality rate and number of surgical operations in a month. Through the study, performance of each hospital is measured, and it aims to find out a relation between the input and output variables.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Khanh Quoc Thai ◽  
Masayoshi Noguchi

PurposeThe purpose of this study is to measure the technical efficiency of Japanese national universities over the period 2010–2016. In addition, the authors also sought to identify the determinants of efficiency, especially those amenable to public policy intervention.Design/methodology/approachFirst, the authors ran a global intertemporal data envelopment analysis to understand the trends in efficiency for national universities over the relevant period. Following this, the authors conducted a second-stage regression using a double-bootstrapped truncated regression model to identify the possible determinants of efficiency.FindingsThe authors found no evidence to suggest that technical efficiency of national universities systematically decreased or increased in response to either structural reform or a reduction to government grants. Moreover, the share of government grants, the size of universities and disciplines of study offered by the universities were statistically significant determinants of efficiency.Practical implicationsThe study results suggest that efficacious public policy remedies might include inter alia measures to reduce the reliance on public funding, efforts to attract more foreign students, the execution of mergers among small universities and consolidation of inefficient departments.Originality/valueThis research fills an important gap in the scholarly literature with respect to Japanese national universities and identifies possible determinants to efficiency, which are amenable to remedial public policy interventions.


Agriculture ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 42 ◽  
Author(s):  
Brunella Arru ◽  
Roberto Furesi ◽  
Fabio Madau ◽  
Pietro Pulina

Recreational functions are among the most important practices to improve farmers’ income and to promote sustainability in the rural territories. Two crucial issues are the ability to rationally allocate farm resources and the ability to efficiently produce different sorts of food and non-food goods. Possible cost savings due to the co-presence of different activities can generate positive effects in the creation of value by agritourist farmers. This paper aims to investigate technical efficiency related to agritourism and recreational functions in Sardinia. Based on a sample of 37 farms and using a data envelopment analysis (DEA) approach, we aim to estimate the technical efficiency of double attitude processes, such as those that characterise agritourism practices. Our findings suggest that efficiency can improve if technical inputs are adequately used; however, the scale appears to be close enough to optimal. Furthermore, we estimated that the margins for improving the efficiency are larger for recreational services and that technical factors contribute to efficiency with a different magnitude. Furthermore, we estimated whether agricultural and non-agricultural resources are efficiently allocated. To our knowledge, this is one of the first attempts in Europe at using an efficiency analysis in agritourism.


2018 ◽  
Vol 3 (2) ◽  
pp. 29-40
Author(s):  
Desi Retnowati

Zakat is the third pillar of Islam and has socio-economic impacts. In practice, zakat institutionshave limitations with regard totheir institutional and managerial aspects, which result in them not achiveing optimum performance and efficiency. This research aims to analyzethe performance and efficiency of zakat institutions in Jambi Province. This research measures the performance of zakat institutions through the institutional indicators of the National Zakat Index (NZI), and it measures theirefficiency using theData Envelopment Analysis (DEA) method. The samples used in this research are BAZNAS Jambi Province and LAZ RSIM. Based on the results of the performance analysis, BAZNAS Jambi hadan index value of 0.44, and LAZ RSIM hadan index value of 0.63,which classified the performance of the zakat institutionsas “fairly good”to“good.” Based on the results of the efficiency analysis, LAZ RSIM has reached the maximum level of 100% efficiency. BAZNAS Jambi Province is operating at56.1% efficiency. The average efficiency for the combined zakat institutions is 78.1%.   Keywords: performance, efficiency, national zakat index (NZI), data envelopment analysis (DEA)


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