scholarly journals Research on Operating Efficiency of Security Companies Based on Super-Efficiency DEA-Malmquist Index

2021 ◽  
pp. 90-95
Author(s):  
Lu He ◽  
Guohui Huang ◽  
Wenjing Xie ◽  
Qianling Zeng ◽  
Dr. Wen-Tsao Pan
Keyword(s):  
Technical Efficiency ◽  
Malmquist Index ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Super Efficiency ◽  
Dea Model ◽  
Index Model ◽  
Business Efficiency ◽  
Slight Upward Trend ◽  
Security Companies

In China’s economic system, security companies are important participants, and their high operating efficiency can improve the country’s economy. Based on the traditional CCR-DEA model, this paper uses super-efficiency DEA model and MALMQUIST index model to analyze the operational efficiency of 10 listed security companies in China from 2016 to 2020, it is found that the operating efficiency of security companies as a whole has a slight upward trend, and the improvement of business efficiency depends on technical efficiency, and relates to pure technical efficiency and scale efficiency.

scholarly journals Quantitative Analysis and Evaluation of Enterprise Group Financial Company Efficiency in China

2018 ◽  
Vol 10 (9) ◽  
pp. 3210 ◽  
Author(s):  
Yanni Huang ◽  
Sumei Luo ◽  
Guohu Xu ◽  
Guanyou Zhou
Keyword(s):  
Quantitative Analysis ◽  
Technical Efficiency ◽  
Point Of View ◽  
Enterprise Group ◽  
Scale Efficiency ◽  
Dea Model ◽  
Analysis And Evaluation ◽  
Index Model ◽  
Overall Efficiency ◽  
Financial Company

As a special financial institution, the financial company has a significant impact on the financial market and real economy. Therefore, further study of the efficiency of financial companies is of great practical significance. China’s financial company is equivalent to the “internal bank” of its affiliated group. Therefore, this paper refers to the quantitative analysis and evaluation method of the banking industry, combined with the data characteristics of the financial company’s industry. This paper carries out quantitative analysis and evaluation of the efficiency of 79 Chinese enterprise group finance companies from 2011 to 2016 through the DEA model and the Malmquist index model. The results are as follows: From the static point of view (based on the DEA model), the overall efficiency of Chinese financial companies is low and the efficiency is less affected by scale efficiency than that of pure technical efficiency; from the industry classification, the efficiency of oil processing, steel, and nonferrous metal financial companies is better than other industries. From the dynamic point of view (based on the Malquist index model), the overall efficiency of financial companies from 2011 to 2016 has been slightly improved and the efficiency is easily influenced by the change of scale efficiency; from the industry category, the changes of the efficiency, scale efficiency and pure technical efficiency of financial companies of military industry are fastest, and the technical progress of the auto industry financial companies is optimal.

scholarly journals Analysis on Operating Efficiency of Chinese Securities Companies Based on Super Efficiency DEA and DEA-Malmquist Index Method

2021 ◽  
Vol 04 (10) ◽  
Author(s):  
Mei-ling He ◽  
Keyword(s):  
Malmquist Index ◽  
Evaluation Index System ◽  
Securities Market ◽  
Financial Statement ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Index Method ◽  
Super Efficiency ◽  
Global Epidemic ◽  
Industry Conditions

With the expansion of China's securities market scale, securities companies as an important participant in the securities market have also developed rapidly. Under the influence of the global epidemic, the transaction volume of securities companies continued to decline, the profit prospects of securities firms increased, liquidity continued to be loose, and the overall policy budget was surplus. Through the efficiency analysis of securities companies, we can understand the resource utilization and industry conditions of securities companies, find out the gaps and deficiencies, and then improve, and improve the operating efficiency of the industry. In order to evaluate the operating efficiency of securities companies more scientific and objective, this paper adopts DEA-Malmquist index and super-efficiency DEA method, based on the financial statement data disclosed by 25 securities companies in 2016~2020, establishes an evaluation index system, analyzes the operating efficiency of securities companies, calculates and analyzes the operating efficiency of securities companies and reveals their internal reasons. The research results show that (1) steady improvement of operating productivity; (2) technical progress is the main factor; operating efficiency of (3) with different securities companies, scale efficiency weakly hinders technical efficiency; (4) Large securities companies should pay attention to control scale, develop innovative business, strengthen cost management, risk control and risk response ability.

scholarly journals A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianchun Yang ◽  
Ying Wu ◽  
Jialian Wang ◽  
Chengcheng Wan ◽  
Qian Wu
Keyword(s):  
Ethnic Minority ◽  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Poverty Alleviation ◽  
Malmquist Index ◽  
Great Difficulty ◽  
Local Economy ◽  
Scale Efficiency ◽  
Factor Productivity ◽  
Two Stages

Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.

scholarly journals Research on the Scientific Research Efficiency of Provincial Universities Based on the DEA Model

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lifeng Wang ◽  
Tan Wang
Keyword(s):  
Economic Development ◽  
Technical Efficiency ◽  
Scientific Research ◽  
Regional Economic Development ◽  
Colleges And Universities ◽  
Scale Efficiency ◽  
Regional Economic ◽  
Positive Correlation ◽  
Dea Model ◽  
Research Efficiency

As the main factor of China’s higher education, effective evaluation of the scientific research efficiency of domestic universities is extremely significant to improve the scientific research management system of local universities, optimize the allocation of scientific research resources, and promote regional economic development. Based on the ten-year statistical data of the compilation of science and technology statistics of colleges and universities, this paper adopts the data envelopment analysis (DEA) model to study the scientific research efficiency of 31 provincial universities in Shandong Province from three dimensions: level, type, and region. The results show that, first, the overall scientific research efficiency of the sample universities is not high and takes on a downward trend; there are some differences, changes in the same direction, and level convergence in each dimension of scientific research efficiency. Second, there is a positive correlation between the comprehensive scientific research strength of the sample universities and the technical efficiency. Third, the level of regional economic development has a positive impact on the scale efficiency of scientific research, which is closely related to the technical efficiency, and there is no positive correlation between these two. Thus, the research suggests that, in the future, colleges and universities should formulate differentiated management policies, build a “Government University” two-level scientific research performance evaluation system guided by scientific research quality, change the concept of scientific research managers, and improve the ability of personnel to improve the efficiency of scientific research in colleges and universities.

scholarly journals Environmental efficiency measurement based on DEA Malmquist model: a case study of Henan Province

2021 ◽  
Vol 248 ◽  
pp. 01030
Author(s):  
Zijing Zhang
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Technological Progress ◽  
Dynamic Change ◽  
Malmquist Index ◽  
Henan Province ◽  
Environmental Efficiency ◽  
Index Model ◽  
High Level

Based on the panel data of different cities in Henan Province from 2010 to 2016, DEA model with variable scale compensation and Malmquist index model are used to measure environmental efficiency from static and dynamic perspectives. The results show that the overall environmental efficiency of Henan Province is at a high level, the technical efficiency is slightly improved, the allocation of input factors tends to be reasonable; the environmental efficiency is rising in dynamic change, among which the influence of technological progress on the environmental efficiency of Henan Province is more critical.

Impact of Bank Operational Efficiency Using a Three-Stage DEA Model

2014 ◽  
Vol 3 (4) ◽  
pp. 32-50 ◽  
Author(s):  
Mu-Shun Wang ◽  
Chihuang Lin
Keyword(s):  
Technical Efficiency ◽  
Commercial Banks ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Capital Adequacy ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Financial Industry ◽  
Dea Model ◽  
The Impact

In this study the authors use a three-stage sequential technique to develop a Data Envelopment Analysis (DEA) model for examining a bank's technical efficiency index. Internal risk and environmental risk are incorporated into this model to accommodate the well-known BASEL III Accord (required capital adequacy ratio in the financial industry) and to ensure the amount of derivatives turnover ratio is at the level defined by industry best-practices. Information is obtained from 34 Taiwanese commercial banks for the period from 2008 to 2011 following the global financial crisis. The Malmquist total factor productivity index (TFP) is also employed to measure the impact of changes in productivity on the panel data. Empirical results derived from the DEA approach show a gain in technical efficiency and scale efficiency in the industry after adjusting the slack variables when using the corrected ordinary least squares (COLS) regression model. The results indicate that commercial banks need to diversify to increase their market share when dealing with derivatives which are associated with higher risk. The Balk's Malmquisit TFP index shows a decrease in bank productivity and improvement in pure technical efficiency. In this study the authors found that after risk-adjustment there was a distinct inefficient unit decrease and but a marginal unit increase in efficiency.

Measurement and decomposition of energy efficiency of Northeast China—based on super efficiency DEA model and Malmquist index

2017 ◽  
Vol 24 (24) ◽  
pp. 19859-19873 ◽  
Author(s):  
Xiaojun Ma ◽  
Yan Liu ◽  
Xiaoxue Wei ◽  
Yifan Li ◽  
Mengchen Zheng ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Northeast China ◽  
Malmquist Index ◽  
Super Efficiency ◽  
Dea Model

scholarly journals EFFICIENCY ASSESSMENT OF LISTED REAL ESTATE COMPANIES: AN EMPIRICAL STUDY OF CHINA / NEKILNOJAMOJO TURTO KOMPANIJŲ, KURIŲ VERTYBINIAI POPIERIAI ĮTRAUKTI Į BIRŽOS SĄRAŠUS, EFEKTYVUMO VERTINIMAS: EMPIRINIS KINIJOS TYRIMAS

2011 ◽  
Vol 15 (2) ◽  
pp. 91-104 ◽  
Author(s):  
Xian Zheng ◽  
Kwong-Wing Chau ◽  
Eddie C. M. Hui
Keyword(s):  
Real Estate ◽  
Returns To Scale ◽  
Real Estate Market ◽  
Assessment System ◽  
Operating Efficiency ◽  
Scale Efficiency ◽  
Super Efficiency ◽  
Efficiency Assessment ◽  
Dea Models ◽  
Output Factors

This study measures performance and efficiency of the Listed Real Estate Companies (LRECs). Three types of Data envelopment analysis (DEA) approaches are employed, which are CCR-DEA, BCC-DEA and Super-Efficiency-DEA models. Based on these DEA approaches, we conduct an empirical analysis on the 94 LRECs in China stock markets according to the 2009 Annual Financial Statements. Registered Capital, Asset Value, Employee Number, and Operation Cost are adopted as the inputs factors, while the output factors are denoted by Revenue and Profit. In general, this empirical research delivers four outcomes: firstly, an integrated assessment system and a ranking of the LRECs are established, which provides useful information for investors who are seeking for indirect exposure in the Chinese real estate market. Secondly, the average Overall Efficiency (OE), Pure Technical Efficiency (PTE) and Scale Efficiency (SE) of the LRECs are 0.78, 0.84 and 0.92 respectively. Thirdly, 69% of the inefficient LRECs are classified as increasing returns to scale and could further increase operating efficiency by scale expansion. Fourthly, the employees slack is prevalent at 18.96% for the inefficient LRECs. Santrauka Straipsnyje įvertinamas nekilnojamojo turto kompanijų, kurių vertybiniai popieriai įtraukti į biržos sąrašus (angl. LRECs), veiklos efektyvumas ir rezultatyvumas. Tam taikomi trys duomenų apgaubties analizės (angl. DEA) metodai, o būtent CCR-DEA, BCC-DEA ir Super-Efficiency-DEA metodai. Pritaikius šiuos duomenų apgaubties analizės metodus ir remiantis 2009 m. metinių finansinių ataskaitų duomenimis, buvo atlikta Kinijos akcijų rinkos 94-ių nekilnojamojo turto kompanijų, kurių vertybiniai popieriai įtraukti į biržos sąrašus, empirinė analizė. Įstatinis kapitalas, nominali aktyvų vertė, darbuotojų skaičius ir eksploatacinės išlaidos laikomi įeigos veiksniais, o išeigos veiksniais imamos pajamos ir pelnas. Šiuo empiriniu tyrimu galima pasiekti keturių rezultatų: pirmiausia, sudaryta integruoto vertinimo sistema ir nustatomi nekilnojamojo turto kompanijų, kurių vertybiniai popieriai įtraukti į biržos sąrašus, reitingai. Reitingų teikiama informacija naudinga investuotojams, siekiantiems netiesioginio dalyvavimo Kinijos nekilnojamojo turto rinkoje. antra, nekilnojamojo turto kompanijų, kurių vertybiniai popieriai įtraukti į biržos sąrašus, vidutiniai dydžiai: bendras efektyvumas (angl. OE), grynasis techninis efektyvumas (angl. PTE) ir masto efektyvumas (angl. SE), atitinkamai sudaro 0,78, 0,84 ir 0,92. Trečia, 69 proc. neefektyvių nekilnojamojo turto kompanijų, kurių vertybiniai popieriai įtraukti į biržos sąrašus, priskirtos prie augančio pelno kompanijų, kurios gali kelti veiklos efektyvumą plėsdamos savo veiklą. Ketvirta, 18,96 proc. neefektyvių nekilnojamojo turto kompanių, kurių vertybiniai popieriai įtraukti į biržos sąrašus, būdinga darbuotojų neveiksnumas.

scholarly journals Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10597
Author(s):  
Pengyu Ren ◽  
Zhaoxia Liu
Keyword(s):  
Technical Efficiency ◽  
Environmental Variables ◽  
Positive Impact ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Fitness Program ◽  
Dea Model ◽  
Service Efficiency ◽  
The Impact

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

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