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 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 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.

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.

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.

Usage Efficiency of Financial Poverty Alleviation Funds: An Empirical Analysis of China’s Eastern Rural Areas

2021 ◽  
Vol 7 (6) ◽  
pp. 5622-5632
Author(s):  
Gao Yang ◽  
Wei Wei
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Capital Investment ◽  
Efficiency Analysis ◽  
Shandong Province ◽  
Investment Model ◽  
Scale Efficiency ◽  
Overall Efficiency ◽  
The Government

Objective: The focus in this study is on how to improve the disharmony between the financial poverty alleviation investment model and the economic development efficiency. Methods: In this paper, based on the efficiency measurement principle of DEA method, an input-output model for evaluating the performance of poverty alleviation funds in counties of Shandong Province is constructed. Then, the data published by the government of 30 poverty-stricken counties in Shandong Province are selected and usedto measure the performance of poverty alleviation funds by Frontier Analyst 4.0 software according to indicators, including comprehensive efficiency analysis (CCR model), pure technical efficiency analysis (BCC model) and scale efficiency analysis (SE model). Results: (1) The average comprehensive efficiency of the use of financial poverty alleviation funds in 30 poverty-stricken counties in Shandong Province is 0.7898, of which 16 values are lower than the average;(2) Among the 30 poverty-stricken counties, the pure technical efficiency of poverty alleviation funds in 15 counties is 1, and the average value of pure technical efficiency is 0.9670, while the pure technical efficiency of poverty alleviation funds in 10 counties is lower than the average level; (3) From the perspective of average scale efficiency, the average scale efficiency of the use of financial poverty alleviation funds in 30 poverty-stricken counties involved in the study is 0.8168, and the use of poverty alleviation funds in more than half of counties shows increasing returns on scale. Conclusion: In poverty-stricken counties, the overall efficiency of the use of financial poverty alleviation funds is not high, among which the pure technical performance of input and output of financial poverty alleviation funds is relatively low. Therefore, under the same investment, more detailed and differentiated capital investment projects should be built to improve the efficiency of resource investment. For some counties with declining returns to scale, poverty alleviation projects with different characteristics can be added to improve the overall efficiency of poverty alleviation funds in counties.

The Study on the Technical Efficiency of the Listed Coal Companies

2012 ◽  
Vol 616-618 ◽  
pp. 528-532
Author(s):  
Jing Yi Miao ◽  
Cheng Wei Cai
Keyword(s):  
Regression Model ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Tobit Regression ◽  
Negative Effects ◽  
High Scale ◽  
Dea Model ◽  
Debt Capital ◽  
Asset Turnover ◽  
Tobit Regression Model

This paper analyses China's listed coal companies based on Tobit-DEA model. DEA model results show that these companies have low technical efficiency level, containing the high scale efficiency and low pure technical efficiency. Then dig the factors to the pure technical efficiency and scale efficiency with Tobit regression model, and the result shows the increasing of management fee rate and debt capital ratio of technical efficiency has some negative effects, and the increasing of sales rate, asset turnover and P/E ratio is beneficial to technical efficiency. Then analyzes the possible reasons for these results and gives suggestions.

scholarly journals The Analysis for the Scale and Efficiency of China’s Major Automotive Enterprises Based on DEA Model

2018 ◽  
Vol 10 (2) ◽  
pp. 129
Author(s):  
Zheng Fei ◽  
Li L. Z
Keyword(s):  
Technical Efficiency ◽  
Technological Innovation ◽  
Automotive Industry ◽  
Large Scale ◽  
Economies Of Scale ◽  
Scale Efficiency ◽  
Small Scale ◽  
Production Scale ◽  
Exit Costs ◽  
Overall Efficiency

This paper uses Data Envelopment Analysis (DEA) to measure the scale and efficiency of 28 major automotive enterprises in Chinese, and the results show that at this stage, large automobile manufacturers of China are under-produced and the production is too scattered, and the overall efficiency of automobile manufacturers is low. One of the main reasons is that because of the low technical efficiency value, the technological innovation capability of enterprises needs to be strengthened. The other reason is that the low efficiency of a large number of enterprises lowers the overall efficiency level. There is a positive correlation between the scale and efficiency of automobile manufacturers. Whether it is the horizontal comparison between different enterprises (nature) or the vertical comparison between the same enterprises, all show that compared with small-scale enterprises, large-scale manufacturing enterprises not only have higher scale efficiency but also have higher technical efficiency. With the expansion of production scale, the scale of enterprises and technical efficiency have improved, which shows that for the automotive industry, compared with other factors, economies of scale is the main factor that affects the automotive industry, and not only is it reflected in the scale but also in technological innovation. Therefore, when formulating policies, the relevant departments should support the development of large-scale enterprises, encourage mergers and acquisitions among enterprises, increase R&D investment, support technological innovation, and set up a scientific market exit mechanism to reduce exit costs, such as guiding the transformation of enterprises and establish a competition mechanism for the survival of the fittest.

scholarly journals THE OPERATIONAL EFFICIENCY OF CHINA'S TOP TEN COMMERCIAL BANKS

2021 ◽  
Author(s):  
XIONG-HUI ZHANG ◽  
SI-QI YUAN
Keyword(s):  
Human Resources ◽  
Technical Efficiency ◽  
Commercial Banks ◽  
Human Resources Management ◽  
Foreign Banks ◽  
Scale Efficiency ◽  
Resources Management ◽  
Dea Model ◽  
Management Capabilities ◽  
Better Than

Based on DEA model, this paper shows that the performance of China's top ten commercial banks is better than that of foreign banks in China, and that of joint-stock commercial banks is better than that of state-owned commercial banks. China's top ten commercial banks can improve their pure technical efficiency and scale efficiency by strengthening their loan management capabilities, developing diversified business, rationally adjusting their scale and paying attention to human resources management.

scholarly journals Sources of efficiency changes at Asian container ports

2019 ◽  
Vol 4 (1) ◽  
pp. 71-93
Author(s):  
Xiyi Yang ◽  
Tsz Leung Yip
Keyword(s):  
Technical Efficiency ◽  
Scale Efficiency ◽  
Efficiency Gain ◽  
Efficiency Change ◽  
Content Type ◽  
Technological Efficiency ◽  
Cent Increase ◽  
Container Ports ◽  
Overall Efficiency ◽  
The Impact

Purpose This study aims to investigate the efficiency changes of 23 major Asian container ports for the period from 2000 to 2007. In addition to assess the general trend, it also attempts to decompose the overall efficiency change into technological efficiency change, technical efficiency change and scale efficiency change to help port authorities to devise operational strategies. Design/methodology/approach The Malmquist index method is used, which is derived from data envelopment analysis. In this model, technological improvement comes from using state-of-the-art technologies, technical improvement is from rationalizing of port inputs and scale efficiency is from adjustment of port operational scales. Findings On average, the investigated ports have improved their efficiencies by 14.3 per cent. Such efficiency gains can be attributed to a 41 per cent increase in pure technical efficiency, a 47.5 per cent increase in scale efficiency and a 30.5 per cent decrease in technological efficiency. The scale efficiency contributes the most to the overall efficiency improvement, while technical and technological effects seem to have less impact. The fact that technological efficiency has little variance seems to suggest that this source of efficiency gain may not bring substantial competitive advantage. Research limitations/implications The sample period is 2000-2007, so the impact from the Asian financial crisis or the economic downturn was not covered. Also, the port throughputs data do not separate shipment and transhipment. Originality/value This study provides valuable suggestions to improve efficiency for container ports along the “Maritime Silk Road.”

scholarly journals Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model

2020 ◽  
Vol 17 (20) ◽  
pp. 7470
Author(s):  
Xin Yang ◽  
Guangyin Shang
Keyword(s):  
Environmental Factors ◽  
Technical Efficiency ◽  
Agricultural Production ◽  
Production Efficiency ◽  
Conservation Tillage ◽  
Policy Support ◽  
Scale Efficiency ◽  
Jianghan Plain ◽  
Dea Model ◽  
The Impact

Based on interviews with 695 smallholders in Jianghan Plain, this paper introduced the three-stage data envelopment analysis (DEA) model to analyze the agricultural production efficiency of conservation tillage adopters and explored the impact of environmental factors on agricultural production efficiency. The empirical results showed the following (1) Planting area, seed consumption, labor input, pesticide usage, chemical fertilizer usage, agricultural film usage were selected as input indicators, agricultural output was chosen as an output indicator, and the traditional DEA model was used to calculate the production efficiency of smallholders, and the agricultural production efficiency of smallholders was found to be at a low level. In addition, environmental and random factors both have significant impacts on efficiency, so they should be stripped. (2) After excluding environmental factors and random factors, the drop in pure technical efficiency of smallholders in the third stage was higher than the drop in scale efficiency when compared with the first stage. Moreover, the true technical efficiency was the main restricting factor for the agricultural production efficiency. (3) Educational level of smallholders, policy support, and information acquisition were the factors that affect the technical efficiency significantly. Improving the efficiency of agricultural production technology for smallholders requires strengthening rural basic education, improving subsidy policies for conservation agricultural technology, and establishing and improving rural information technology services.

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