scholarly journals İncir İşleme Tesislerinde Teknik Etkinlik ve Kalite Etkinliği Üzerine Etkili Faktörlerin Belirlenmesi

2021 ◽  
Vol 9 (5) ◽  
pp. 878-886
Author(s):  
Altuğ Özden ◽  
Osman Orkan Özer ◽  
Göksel Armağan ◽  
Gökhan Çınar
Keyword(s):  
Technical Efficiency ◽  
Parametric Method ◽  
Returns To Scale ◽  
Educational Status ◽  
Survey Method ◽  
Truncated Regression ◽  
Factors Affecting ◽  
Qualified Personnel ◽  
Almost All ◽  
Industry Experience

In this study, the technical and quality efficiency scores of the fig processing businesses in Aydın Province and the factors affecting these scores were tried to be determined by Data Envelopment Analysis “a non-parametric method”, and a truncated-regression model with 1000 replications. As a result of the analyses made using the data obtained by the survey method, it has been determined that almost all of the enterprises operate under the assumption of varying returns to scale, and the average of technical efficiency scores is 98% and the average of quality efficiency scores is 58%. It has been determined that the factors such as “Educational Status”, “Industry Experience” and “Processing Figs with Their Own Product” are effective on the technical efficiency scores. On the other hand, it was concluded that “Industry Experience”, “Contract Manufacturing” and “Quality Control Practices” factors were positively affected on quality efficiency scores. In addition, in the production of dried figs, which can be considered as a niche product, especially in the healthy snacks market, there are important problems in terms of sectoral education and external risks, and in order to solve these problems, there are important duties in expressing the problems and expressing the need for qualified personnel with sectoral training. The necessity of conducting scientific researches on geothermal power and dams was stated as a proposal.

A Stochastic Frontier Analysis of Exporting Small and Medium Sized Enterprises in India

2016 ◽  
Vol 7 (3) ◽  
pp. 1-23
Author(s):  
Manoj Kumar
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Key Factors ◽  
Technical Inefficiency ◽  
Frontier Analysis ◽  
Efficiency Performance ◽  
Size Firm ◽  
Almost All

This study employs a stochastic frontier analysis (SFA) and technical inefficiency effects model to predict the technical efficiency of 3,168 Indian manufacturing and exporting SMEs, analyze their returns to scale and key factors impacting on their technical efficiency. Indian manufacturing and exporting SMEs extensively rely on labor rather than capital to increase their output, including almost all exporting SME groups, except those exporting to North & South America. The production of Indian manufacturing SMEs exporting to Oceania, however, has increasing returns to scale (1.1965). The inefficiency effects model reveals that firm size, firm age, foreign ownership, location and government assistance are firm-specific factors that significantly affect the technical inefficiency of production. Finally, evidence-based policies are also provided to facilitate improvement in the technical efficiency performance of Indian manufacturing and exporting SMEs.

The comparative analysis of life satisfaction among Syrian, Iranian, and Afghan refugees in Turkey: The case of Denizli

2020 ◽  
Author(s):  
Sayed Alawadin Maqul ◽  
Sevcan GüneŞ ◽  
TuĞba Akin
Keyword(s):  
Life Satisfaction ◽  
Educational Status ◽  
Survey Method ◽  
Iranian Immigrants ◽  
Factors Affecting ◽  
Afghan Refugees ◽  
Advanced Economies ◽  
Survey Results ◽  
Major Factors ◽  
Depth Interviews

Abstract In this study, the survey method was used to analyse the life satisfaction of three different refugee groups that are Syrian, Iranian, and Afghan who lives in the Denizli province of Turkey. According to the outcomes of in-depth interviews and surveys conducted on 150 refugees, the most common reason for immigrating to Turkey is the civil war-factor. The survey results show that the Afghan refugees’ level of income increased compared to that of before immigration. Afghan and Syrian refugees are more satisfied with their lives in Turkey compared to Iranian immigrants. Besides, uneducated and male refugees, living in a country with the same religion as the departure country are more satisfied than other immigrants. Therefore Iranian immigrants, most of whom are not Muslim, are planning to migrate again from Turkey to more advanced economies. In sum, the results of this study indicate that the major factors affecting life satisfaction of immigrants are educational status, religion, gender, and income.

scholarly journals Efficiency Analysis with non parametric method: Illustration of the Tunisian ports

2018 ◽  
Vol 9 (1) ◽  
pp. 51-58
Author(s):  
Arbia Hlali
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Parametric Method ◽  
Returns To Scale ◽  
Efficiency Analysis ◽  
Data Set ◽  
Low Levels ◽  
Constant Returns To Scale ◽  
Variable Returns To Scale ◽  
Non Parametric

AbstractThis paper applies a non-parametric method to provide level technical efficiency for 7 Tunisian ports during 18 years (1998-2015). These ports represent different data set. The use of the model of variable returns to scale (VRS) has led to interesting results. The results show that the most ports are characterized by low levels of technical efficiency, with the exception port of Rades. In addition, the result shows the variation of variable returns to scale and constant returns to scale of technical port’s efficiency. Furthermore, we concluded that the panel data improves the efficiency estimates.

scholarly journals Technical efficiency and factors affecting rice production in tidal lowlands of South Sumatra province Indonesia

10.5219/1287 ◽  
2020 ◽  
Vol 14 ◽  
pp. 101-111
Author(s):  
Khairul Fahmi Purba ◽  
Muhammad Yazid ◽  
Mery Hasmeda ◽  
Dessy Adriani ◽  
Meitry Firdha Tafarini
Keyword(s):  
Technical Efficiency ◽  
Returns To Scale ◽  
Efficiency Score ◽  
Rice Production ◽  
Least Square ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Production Function Approach ◽  
Rice Consumption ◽  
Phosphorus And Potassium

Rice has been the staple food for most Indonesians, so the rice consumption in Indonesia is considerably high. Rice is cultivated in many agroecosystems, including tidal lowlands. Some tidal lowlands are considered suitable for rice cultivation. Therefore, tidal lowlands may support food security in Indonesia. However, productivity remains a problem in which inputs are not used efficiently. This study aims to determine the technical efficiency and identify factors affecting rice production in tidal lowlands of South Sumatra, one of main rice barns in Indonesia. A survey was conducted by interviewing 93 farmers in Telang Rejo Village. A data envelopment analysis (DEA) with output-oriented and variable returns to scale (VRS) approach was applied to measure technical efficiency score from each farm observed. An ordinary least square (OLS) regression with a Cobb-Douglass production function approach was employed to analyse the factors affecting rice production in tidal lowlands of South Sumatra, Indonesia. The results showed that majority of rice farms in the tidal lowlands of South Sumatra Indonesia were inefficient. There were 44 rice farms (47.31%) that were efficient, 5 rice farms (5.38%) that were inefficient under increasing returns to scale and 44 rice farms (47.31%) that were inefficient under decreasing returns to scale. The inputs, such as nitrogen, phosphorus, and potassium fertilisers, herbicides, insecticides and fungicides had positive significant influences on rice production in the tidal lowlands of South Sumatra, Indonesia.

Efficiency of Gulf Cooperation Council Banks

2016 ◽  
Vol 26 (1) ◽  
pp. 118-136 ◽  
Author(s):  
Peter A Aghimien ◽  
Fakarudin Kamarudin ◽  
Mohamad Hamid ◽  
Bany Noordin
Keyword(s):  
Technical Efficiency ◽  
Parametric Method ◽  
Returns To Scale ◽  
Gulf Cooperation Council ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Content Type ◽  
Use Of Resources ◽  
Potential Factors ◽  
Constant Returns To Scale

Purpose – This paper aims to investigate the efficiency level of Gulf Cooperation Council (GCC) banks on technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE). Both PTE and SE represent the potential factors that influence the efficiency of the GCC banks. In total, 43 GCC banks were observed in this study over the period from 2007 until 2011. Design/methodology/approach – The Data Envelopment Analysis, a non-parametric method using variable returns to scale under Banker, Charnes and Cooper model, was used with assets and deposit (as input) and loan and income (as output). Findings – On average, the results show that many GCC banks are operating within an optimal scale of efficiency. Nevertheless, the results also show managerial inefficiency in the use of resources. Furthermore, the results indicate that, while the larger banks (the 22 largest) tend to operate at constant returns to scale (CRS) or decreasing returns to scale, the smaller banks (the 21 smallest) are susceptible to operate at either CRS or increasing returns to scale. Research limitations/implications – Because of the chosen research method, the results may lack generalisation. Therefore, researchers are encouraged to test the propositions further. An additional implication of the results is that it was able to identify some banks that may become potential targets for outside acquisition. Practical implications – The findings should be useful to banks in the GCC in increasing their efficiencies and recognizing those with a potential for outside acquisition. Originality/value – The findings are valuable because they will facilitate the maintenance of efficient banks in the GCC. This is necessary to enable the countries to maintain a healthy and sustainable economy.

Implementasi Manajemen Pengetahuan pada Perguruan Tinggi Swasta di Kabupaten Garut

2019 ◽  
Vol 22 (2) ◽  
Author(s):  
Hendarsita Amartiwi
Keyword(s):  
Knowledge Management ◽  
Private Higher Education ◽  
Survey Method ◽  
Unit Of Analysis ◽  
Factors Affecting ◽  
Confirmatory Factor ◽  
Research Findings ◽  
Survey Results ◽  
Use Of Knowledge ◽  
Descriptive Statistical Analysis

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.

scholarly journals Effects of sagging breasts and other risk factors associated with mastalgia: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bülent Çomçalı ◽  
Servet Kocaoz ◽  
Buket Altun Özdemir ◽  
Ömer Parlak ◽  
Birol Korukluoğlu
Keyword(s):  
Risk Factors ◽  
Case Control Study ◽  
Coffee Consumption ◽  
Educational Status ◽  
Case Control ◽  
Tea Consumption ◽  
Drinking Alcohol ◽  
Factors Affecting ◽  
Factors Associated ◽  
Control Study

AbstractThe aim of this study is to compare patients with and without mastalgia and to analyze the factors affecting mastalgia and its severity. The patient’s age, height, weight, educational status, marital status, and occupation were recorded in all subjects. In addition, the women were asked about the presence of any risk factors for mastalgia, such as tea and coffee consumption, smoking, alcohol consumption, and weight gain. The sternal notch to nipple distance (SNND) was measured to determine whether there was breast sagging. Mastalgia was significantly more common in women with BMIs of > 30 kg/m2 (OR: 2.94, CI 1.65–5.24), those who were primary school graduates or illiterate (OR: 2.96, CI 1.6–5.46), and those with SNND values of 22–25 cm (OR: 2.94, CI 1.79–4.82). In these women, drinking more than 6 cups of tea a day (OR: 2.15, CI 1.32–3.5), smoking at least 10 cigarettes a day (OR: 2.94, CI 1.78–4.83), and drinking alcohol at least once a week (OR: 2.1, CI 1.12–3.91) were found to be important factors that increased the risk of mastalgia. As a result, it has been found that severe mastalgia complaints cause by obesity, sagging breasts, never giving birth, unemployment anxiety, regular smoking, alcohol use, and excessive tea consumption.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

scholarly journals Optimal solutions of multiplier DEA models

2021 ◽  
Author(s):  
Victor V. Podinovski ◽  
Tatiana Bouzdine-Chameeva
Keyword(s):  
Returns To Scale ◽  
Scale Production ◽  
Optimal Solutions ◽  
Optimal Input ◽  
Input And Output ◽  
Decision Making Unit ◽  
Dea Models ◽  
Constraint Structure ◽  
Conventional Models ◽  
Almost All

AbstractConventional models of data envelopment analysis (DEA) are based on the constant and variable returns-to-scale production technologies. Any optimal input and output weights of the multiplier DEA models based on these technologies are interpreted as being the most favorable for the decision making unit (DMU) under the assessment when the latter is benchmarked against the set of all observed DMUs. In this paper we consider a very large class of DEA models based on arbitrary polyhedral technologies, which includes almost all known convex DEA models. We highlight the fact that the conventional interpretation of the optimal input and output weights in such models is generally incorrect, which raises a question about the meaning of multiplier models. We address this question and prove that the optimal solutions of such models show the DMU under the assessment in the best light in comparison to the entire technology, but not necessarily in comparison to the set of observed DMUs. This result allows a clear and meaningful interpretation of the optimal solutions of multiplier models, including known models with a complex constraint structure whose interpretation has been problematic and left unaddressed in the existing literature.

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