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 Performance of Village Unit Co-Operatives in Yogyakarta Special Region: A Data Envelopment Analysis Approach

2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Best Practice ◽  
Negative Impact ◽  
Positive Impact ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Rice Milling ◽  
Special Region

This study assessed the performance of 32 village unit co-operatives (KUD) in Yogyakarta Special Region during 2011 to 2012. The efficiency level of the KUD were evaluated by employing the data envelopment analysis and multiple regression analysis using panel data to determine the factors affecting efficiency level. Efficiency analysis was decomposed into three dimensions to explore possible sources of inefficiency. According to Marwa and Aziakpono (2016), the first dimension was technical efficiency, which explored the overall effectiveness of transforming the productive inputs into desired outputs compared to the data-driven frontier of best practice. The second dimension was pure technical efficiency, which captured managerial efficiency in the intermediation process. The third dimension was scale efficiency, which explored whether KUD were operating in an optimal scale of operation or not. The results found that the average scores are 64%, 92%, and 68% for technical, pure technical, and scale efficiency respectively in 2011, while in 2012 the average scores are 57%, 94%, and 60% for technical, pure technical, and scale efficiency. Factors having significantly positive impact on several measures of efficiency are incentive and dummy variables (agriculture inputs and hand tractor). Accounts receivable only has positive relationship to pure technical efficiency. On the other hand, rice milling unit and electricity services have negative impact with several measures of efficiency.

scholarly journals Analyzing the performance of the Major League Baseball Teams by using the Data Envelopment Analysis

2021 ◽  
pp. 1-13
Author(s):  
Yanzhi Bi
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Major League Baseball ◽  
Scale Effects ◽  
Competitive Environment ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Major League ◽  
Reasonable Use

Abstract Professional teams are commercial and recreational organizations, and team managers always set their goals to be playing well and benefitting more in a highly competitive environment. In order to measure the ability of the professional teams to make reasonable use of resources and create various outputs, this study employs the Data Envelopment Analysis (DEA) model to measure the efficiencies of 30 Major League Baseball (MLB) teams. The results showed that the inefficiencies were due to pure technical inefficiencies rather than scale effects, and the scale efficiency on average is more higher than the other efficiencies, applying the managers in the Major League Baseball Teams have higher ability of controlling the scale change. Keywords: Major League Baseball, Data Envelopment Analysis, Technical efficiency, Pure technical efficiency, Scale efficiency.

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 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.

The Technical Efficiency of Engineering Industry Cluster at Hosur

2019 ◽  
Vol 46 (2) ◽  
pp. 100-116
Author(s):  
Ethirajan Bhaskaran
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Value Chain ◽  
Value Added ◽  
Engineering Industry ◽  
Export Market ◽  
Data Envelopment ◽  
Inclusive Growth ◽  
Value Chain Analysis

For inclusive growth and sustainable development Engineering Industries (EIs) in Hosur have adopted the Cluster Development Approach (CDA). The objective is to study the value chain analysis, correlation analysis and data envelopment analysis by finding Technical Efficiency (Ø), Peer Weights (li), Input Slacks (S-) and Output Slacks (S+) of 50 EIs. The methodology adopted is data envelopment analysis of output-oriented Banker–Charnes–Cooper Model by taking the number of employment, plant and machinery as input and Gross Value Added (GVA) as output. The non-zero li’s represents the weights for efficient clusters. The S > 0 obtained reveals the excess machinery or number of employment (S-) and shortage in GVA (S+). To conclude, the variables are highly correlated, and for inclusive growth and sustainable development, the inefficient EI should increase their GVA or decrease the employment or machinery. Moreover, for sustainable development, the EI should strengthen infrastructure interrelationships, technology interrelationships, procurement interrelationships, production interrelationships and marketing interrelationships to decrease costs and to increase productivity and efficiency to compete in the indigenous and export market.

scholarly journals Performance evaluation of e-commerce firms in China: Using three-stage data envelopment analysis and the Malmquist productivity index

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255851
Author(s):  
Sufang Zheng ◽  
Rabnawaz Khan
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Stochastic Frontier Analysis ◽  
Advanced Technology ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis

As a new business form of international trade and electronic commerce, e-commerce has been a controversial topic that has attracted the attention of scholars and industry professionals. This study estimated the operating efficiency and total factor productivity (TFP) of listed e-commerce firms in China from 2015 to 2019. Three related methodologies were applied: data envelopment analysis (DEA), the Malmquist TFP index, and stochastic frontier analysis. The DEA analysis results showed that environmental variables exerted a substantial effect on technical efficiency. Most firms demonstrated effective technical efficiency after adjustment for input variables. Business-to-business firms had the highest operating efficiency, followed by business-to-consumer and production-to-consumer firms. Technical progress and scale were identified as two major factors affecting improvement in TFP. Hence, e-commerce firms should make full use of advanced technology and aim to achieve economies of scale.

scholarly journals Economies of Scale and Efficiency of Mutual Funds in Pakistan

2019 ◽  
Vol IV (I) ◽  
pp. 96-103
Author(s):  
Muhammad Jam e Kausar Ali Asghar ◽  
Abdul Zahid Khan ◽  
Hafiz Ghufran Ali Khan
Keyword(s):  
Data Envelopment Analysis ◽  
Mutual Funds ◽  
Technical Efficiency ◽  
Significant Role ◽  
Economies Of Scale ◽  
Institutional Investor ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Overall Efficiency ◽  
The Growth Of Economy

Mutual funds have a significant role as an institutional investor to allocate funds in an efficient way. Therefore, this study examines efficiency of mutual funds due to their substantial role in the growth of economy. Technical Efficiency (TE), Pure Technical Efficiency (PTE), and Scale Efficiency (SE) of mutual funds are examined over the period of 2011 to 2016 by following Data Envelopment Analysis (DEA). The results showed a TE of 70.6%, PTE of 73%, and SE of 96.3% in mutual funds of Pakistan. A significant boost has been noticed in the efficiency of the initial year but it decreased afterward. Decreasing return to scale is found 52.40% whereas, increasing return to scale are found 17.41%. There were only 30.19% mutual funds which are working on right scale. It suggests that regulators need to closely monitor mutual funds since unplanned growth in size of mutual funds will damage the overall efficiency since the decreasing return to scale are

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

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