Economies of scale and optimal size of maternity services in Belgium: A Data Envelopment Analysis

2022 ◽  
Author(s):  
Mélanie Lefèvre ◽  
Nicolas Bouckaert ◽  
Cécile Camberlin ◽  
Carine Van de Voorde
Keyword(s):  
Data Envelopment Analysis ◽  
Economies Of Scale ◽  
Optimal Size ◽  
Data Envelopment ◽  
Maternity Services

scholarly journals The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia

2008 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Empirical Evidence ◽  
Financial Institutions ◽  
Economies Of Scale ◽  
Financial Intermediaries ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Parametric Data ◽  
Dea Method

This paper investigates the performance of Malaysian non-bank financial institutions during the period of 2000-2004. Several efficiency estimates of individual NBFIs are evaluated using the non-parametric Data Envelopment Analysis (DEA) method. The findings suggest that during the period of study, scale inefficiency outweighs pure technical inefficiency in the Malaysian NBFI sector. We find that the merchant banks have exhibited a higher, technical efficiency compared to their peers. The empirical findings suggest that scale efficiency tends to be more sensitive to the exclusion of risk factors, implying that potential economies of scale may be overestimated when risk factors are excluded.  

scholarly journals MEASURING TECHNICAL EFFICIENCY OF MALAYSIAN REAL ESTATE INVESTMENT TRUSTS: A DATA ENVELOPMENT ANALYSIS APPROACH

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Nor Nazihah Chuweni
Keyword(s):  
Data Envelopment Analysis ◽  
Real Estate ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Efficient Frontier ◽  
Data Envelopment ◽  
Real Estate Investment ◽  
Nonparametric Approach ◽  
Efficiency Measures ◽  
Efficiency Performance

The research examines the technical efficiency (TE) and economies of scale for the Malaysian Real Estate Investment Trust (M-REITs) from 2010 to 2014, using a non-parametric approach of Data Envelopment Analysis (DEA). The nonparametric approach of Variable Return to Scale DEA (VRS-DEA model) was used to estimate the efficiency scores for M-REITs. The negative inefficient value for the technical inefficiencies is identified as a result of both poor input utilisation (managerial inefficiency) and failure of M-REITs to operate at optimum scale (scale inefficiency). The mean technical efficiency (TE) measures ranged from as low as 41.70% in 2011 to as high as 84.30% in 2014. Despite having the Sharia requirement, Islamic REITs in Malaysia provide an effective investment opportunity evidenced by the higher scores for all efficiency measures, as compared to conventional REITs for the period under study. Pure technical inefficiency has a greater deviation in the efficient frontier than scale inefficiency, suggesting that M-REITs inputs are not fully minimised to produce more outputs. With regard to scale inefficiency, M-REITs are operating at economies of scale, indicating the importance of expansion or growth to improve on efficiency performance. This will then allow M-REIT managers to formulate better strategic investment decisions.

scholarly journals The Application of Data Envelopment Analysis in Healthcare Performance Evaluation of Rehabilitation Departments in Hungary

2017 ◽  
Vol 21 (3) ◽  
pp. 127 ◽  
Author(s):  
Rita Veronika Dénes ◽  
Judit Kecskés ◽  
Tamás Koltai ◽  
Zoltán Dénes
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Healthcare System ◽  
Economies Of Scale ◽  
Musculoskeletal Diseases ◽  
Evaluation Criteria ◽  
Data Envelopment ◽  
Dea Model ◽  
Exact Amount ◽  
Inputs And Outputs

<p><strong>Purpose:</strong> Performance evaluation is a general problem both in production and service systems. Generally, operation performance is determined based on input resource utilization and on outputs related data. Performance evaluation is especially complicated when both financial and nonfinancial indicators must be considered in the evaluation of the efficiency of healthcare system. The purpose of this paper is to apply data envelopment analysis (DEA) in order to measure the efficiency of rehabilitation departments curing musculoskeletal diseases.</p><p><strong>Methodology/Approach:</strong> The evaluation of the efficiency of rehabilitation departments includes several parameters. Performance evaluation becomes complicated when several evaluation criteria must be taken into consideration at the same time. In these cases, scoring methods are generally used, which transform performance data into a common scale and an aggregate score is calculated with subjective weights. Using DEA the subjective element of evaluation is eliminated when the weights of inputs and outputs are determined.</p><p><strong>Findings:</strong> The applied DEA model evaluates the performance of rehabilitation departments. The presented analysis highlights the differences between the efficiency of the studied departments, and explores inefficiencies related to economies of scale. The slack values directly show the operational shortcomings in specific areas, and indicate the exact amount of the required changes.</p><p><strong>Research Limitation/implication:</strong> The applied DEA model evaluates the performance of rehabilitation departments. The presented analysis highlights the differences between the efficiency of the studied departments, and explores inefficiencies related to economies of scale. The slack values directly show the operational shortcomings in specific areas, and indicate the exact amount of the required changes.</p><strong>Originality/Value of paper:</strong> The originality of the paper lies on the identification of inputs and outputs for the applied DEA model as only nonfinancial indicators were taken into consideration. The analysis involves all rehabilitation departments of the Hungarian healthcare system; consequently, conclusions related to the general state of this area can be drawn.

scholarly journals Eco-Efficiency Assessment of Intensive Rice Production in Japan: Joint Application of Life Cycle Assessment and Data Envelopment Analysis

2019 ◽  
Vol 11 (19) ◽  
pp. 5368 ◽  
Author(s):  
Kiyotaka Masuda
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Data Envelopment Analysis ◽  
Economies Of Scale ◽  
Rice Production ◽  
Data Envelopment ◽  
Farm Work ◽  
Joint Application ◽  
Adjustment Program ◽  
Analysis Technique

To promote sustainable agriculture worldwide, it is important to understand what constitutes eco-efficiency for rice, a staple food in many countries. This study examined whether expanding the scale of rice farming contributed to the improved eco-efficiency of intensive rice production in Japan. Both life cycle assessment (LCA) and data envelopment analysis (DEA) were used to measure comprehensively the eco-efficiency of rice production. A DEA window analysis technique with two DEA inputs (global warming and eutrophication from the LCA results) and one DEA output (weight-based rice yield) was applied to the statistical data for 2005–2011 categorized by the size of rice farms. The results indicate that expanding the size of rice farms is an effective way of improving the eco-efficiency of intensive rice production in Japan. The important factors for improving eco-efficiency are the implementation of economies of scale, reduced outsourcing of farm work, and savings in chemical fertilizers and pesticides. Expansion of the size of rice farms through the recent abolition of the rice production adjustment program will also contribute to improving the eco-efficiency of Japanese rice production.

Data envelopment analysis methods in sustainable agricultural development research

2021 ◽  
pp. 179-205
Author(s):  
Katarzyna Smędzik-Ambroży ◽  
Agnieszka Sapa
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Scale Effects ◽  
Three Dimensions ◽  
Data Envelopment ◽  
Farm Accountancy Data Network ◽  
Business Entities ◽  
The Individual

Sustainable development of business entities can be analysed in terms of three dimensions, i.e., economic, social and environmental ones. The economic dimension of sustainable development can be assessed, inter alia, by entities’ technical efficiency defined as the relation of outputs to inputs. One of the methods that is used to assess the technical efficiency of business entities compared to other entities is the Data Envelopment Analysis (DEA) method. The aim of the chapter is to determine the relative technical efficiency of representative agricultural farms from the individual European Union countries in 2018. Moreover, the scale efficiency indexes and the area of scale effects (increasing or decreasing) of the analysed farms were also determined. In the study the data from the Farm Accountancy Data Network (FADN) for 2018 were applied. In order to achieve the assumed research goals, the input-oriented DEA model was used, and the technical efficiency indexes of farms were estimated with the assumption of constant return to scale (CRS) and variable return to scale (VRS). This allowed, among others, for indicating the countries with farms achieving the highest technical efficiency (Belgium, Spain, Italy, Malta and Netherlands assuming CRS, and Belgium, Spain, Italy, Malta and Netherlands, Greece, Ireland, Romania and Slovenia assuming VRS), the lowest technical efficiency (the Czech Republic and Slovakia) within surveyed group of farms. All relatively inefficient farms (except Slovakia) functioned in the area of increasing economies of scale.

scholarly journals Scale and scope economies in Mexican private medical units

2014 ◽  
Vol 56 (4) ◽  
pp. 348 ◽  
Author(s):  
Jorge Keith ◽  
Diego Prior
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Data Envelopment ◽  
Scope Economies ◽  
Management Decisions ◽  
Analysis Methods ◽  
Inputs And Outputs

Objective. To evaluate technical efficiency and potential presence of scale and scope economies in Mexican private medical units (PMU) that will improve management decisions. Materials and methods. We used data envelopment analysis methods with inputs and outputs for 2 105 Mexican PMU published in 2010 by the Instituto Nacional de Estadística y Geografía from the “Estadística de Unidades Médicas Privadas con Servicio de Hospitalización (PEC-6-20-A)” questionnaire. Results. The application of the models used in the paper found that there is a marginal presence of economies of scale and scope in Mexican PMU. Conclusions. PMU in Mexico must focus to deliver their services on a diversified structure to achieve technical efficiency.

scholarly journals Technical and Scale Efficiency in Nursery Enterprises in an Area of Significant Widespread Horticulture in Italy

HortScience ◽  
2018 ◽  
Vol 53 (2) ◽  
pp. 208-216 ◽  
Author(s):  
Giuseppe Timpanaro ◽  
Arturo Urso ◽  
Vera T. Foti
Keyword(s):  
Data Envelopment Analysis ◽  
Open Field ◽  
Economies Of Scale ◽  
Methodological Approach ◽  
Normal Operation ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Tobit Regression ◽  
Structural Relationships ◽  
Production Strategies

The aim of this work is to identify the factors that influence the level of efficiency in horticultural nurseries and to estimate their impact on productivity as well as the direction and intensity with which they act. The investigation was focused on table tomatoes (Solanum lycopersicum L.), a species widely cultivated in horticultural greenhouses and in the open field, for which the recourse to transplantation represents a normal operation to the point that nurseries activate a large number of productive cycles for this species throughout the year with the aim of obtaining “ungrafted seedlings” or ready-to-use “grafted seedlings”. This study used the methodological approach of data envelopment analysis (DEA) and Tobit regression and was able to identify which of the factors linked to management choices, professionalism, and the motivation of entrepreneurs have a notable influence on the level of efficiency reached by nurseries and which of these factors offer possibilities for increasing their levels of production. The results of this investigation reveal that in the nurseries, the possibilities for achieving increasing economies of scale are limited by the structural relationships between capital and land and between land and labor, by the production strategies in place, and by the degree of utilization of materials and labor.

No Aladdin’s Cave in New South Wales? Local Government Amalgamation, Scale Economies, and Data Envelopment Analysis Specification

2015 ◽  
Vol 49 (10) ◽  
pp. 1450-1470 ◽  
Author(s):  
Joseph Drew ◽  
Michael A. Kortt ◽  
Brian Dollery
Keyword(s):  
Data Envelopment Analysis ◽  
Local Government ◽  
Economies Of Scale ◽  
New South ◽  
New South Wales ◽  
Significant Proportion ◽  
Great Majority ◽  
Data Envelopment ◽  
Review Panel ◽  
South Wales

Local government structural reform programs are often based on the purported benefits of increased scale. We examine this question in relation to the proposed amalgamation program for New South Wales (NSW) by the NSW Independent Local Government Review Panel using Data Envelopment Analysis (DEA). We find evidence that a significant proportion of municipalities scheduled for amalgamation already exceed optimal scale and that the great majority of “amalgamated” entities will initially exhibit decreasing returns to scale. Our findings thus stand in stark contrast to the Independent Local Government Review Panel (ILGRP) contention that municipal mergers are the optimal approach to capturing economies of scale in NSW local government.

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