基于DEA-Malmquist模型的养老机构供给效率研究

目的 评价国内养老机构服务供给效率,了解国内养老机构服务供给现状。方法 应用数据包络分析法对2016—2020年的国内养老机构相关数据进行分析,评估国内养老机构服务供给效率。结果 2016年国内养老机构服务供给的综合技术效率、纯技术效率和规模效率分别为0.872、0.891和0.976,2020年分别为0.940、0.959和0.980。2016—2020年全要素生产率指数均值为0.988,综合技术效率上升2.2%,纯技术效率上升2.0%,技术进步均值下降3.3%。结论 养老机构的整体管理和技术水平是影响服务供给综合技术效率的主要因素。服务供给效率省际发展不均衡,区域间服务供给效率差距有所减小。技术进步是影响养老机构服务供给效率的主要因素。建议提高对养老机构管理水平的重视程度,合理配置养老机构资源,通过加强技术研发、加强养老人才队伍建设等方式提高国内养老机构服务供给效率。

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Purpose: This paper aims to investigate the scientific productivity of China's science system. Design/methodology/approach: This paper employs the Malmquist productivity index(MPI) based on Data Envelopment Analysis(DEA).Findings: The results reveal that the overall efficiency of Chinese universities increased significantly from 2009 to 2016, which is mainly driven by technological progress. From the perspective of the functions of higher education, research and transfer activities perform better than the teaching activities.Research limitations: As an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research.Practical implications: The results indicate that Chinese education administrative departments should take actions to guide and promote the teaching activities and formulate reasonable resource allocation regulations to reach the balanced development in Chinese universities.Originality/value: This paper selects 58 Chinese universities and conducts a quantified measurement during the period 2009–2016. Three main functional activities of universities(i.e. teaching, researching, and application) are innovatively categorized into different schemes, and we calculate their performance, respectively.

Efficiency Analysis of Listed Power Companies Based on Malmquist Index

This paper improved the known study for technical progress in Malmquist productivity index calculating. In the method, all the possible movements for decision making units （DMUs） are listed, and the condition that several DMUs lie on the productivity frontier is analyzed. The dynamic efficiencies of Chinese listed power companies from 1997 to 2006 were evaluated. The empirical results indicate that the improved method is effective.

The Operation Efficiency Evaluation for Listed Companies of China Aviation Industry Based on DEA and Malmquist Index

The data envelopment analysis （DEA） is used to evaluate operation efficiency of 17 listed companies in China aviation industry from 2006 to 2011, and make longitudinal analysis for the operation efficiency. In addition, the reason of changing efficiency is dynamically evaluated by Malmquist productivity index. The empirical results show that average operation efficiency of 17 listed companies in China aviation industry is less than 1, which means that the operation activities of aviation industry exist diseconomies characteristic, technological progress efficiency is a major influenced factor

Malmquist indices of productivity growth for Islamic and conventional banks in Malaysia

This paper studies the total factor productivity （TFP） of banks in Malaysia with the emphasis on comparing the relative productivities of Islamic and Conventional banks. The Malmquist index approach is used to decompose productivity growth into technical efficiency and technological change. The productivity growth is measured and decomposed into technical change and efficiency change. The efficiency change is further decomposed into pure efficiency change and scale efficiency. It is found that Islamic banks＇ productivity growth is limited by its lack of technological change compared to its conventional counterparts. Nonetheless, both types of banks are operating at the correct level in terms of scale or size.

Overall profit Malmquist productivity index under data uncertainty

The calculation of the overall profit Malmquist productivity index(MPI)requires precise and accurate information on the input,output,input-output prices of each decision making unit(DMU).However,in many situations,some inputs and/or outputs and input-output prices are imprecise.As such,we consider the overall profit MPI problem when the input,output,and input-output prices are imprecise and vary over intervals,showing that method(MCM 54:2827–2838,2011)has some shortfalls.To remedy these shortfalls,we propose another method for measuring the overall profit MPI when the inputs,outputs,and price vectors vary over intervals.That is,to calculate the overall profit efficiency intervals,cone-ratio data envelopment analysis models can be applied to the incorporated information as weight restrictions.Further,we provide a new approach to calculating the upper bound of the overall profit efficiency of each DMU.A numerical example is provided for illustrating the proposed method.

A comparative analysis of Japanese firm productivity： Solow residual and Malmquist productivity index

For some time, two major kinds of Total Factor Productivity （TFP） have existed independently of each other： the Solow residual and the Malmquist Productivity Index （MPI）. The Solow residual was introduced in macro economic growth models, and the MPI has been used in micro economics and management studies. As both indices were developed independently, few studies utilize both together and compare the results. This paper uses the same data to compare the two productivity indices by setting to determine the economic implications of combining the two indices. We discovered that we could decompose TFP with each aspect of the Soiow residual and MPI. We could then interpret their relationship in the business cycle. Our results indicated that the frontier shift in MPI of Japanese firms often occurred when the Solow residual increased, meaning that improving oroductivitv with the Solow residual could be generated by a firm that could shift new production frontiers.

Evaluation of the Development Efficiency of Major Cities in the World Based on SBM Model and Malmquist Index

The major cities of every country and region in the world play an important role in the process of global development.The assessment of the development efficiency of these core cities can help governments better understand their role in globalization and provide some useful information for policy makers.This paper evaluates the development efficiency of 35 major cities around the world during the period 2011-2020.The data used is the Global City Power Index(GPCI)released by the Mori Foundation of Japan,which evaluates each city in a total of 70 indicators from six dimensions:economy,research development(R&D),cultural exchange,livability,environment and accessibility.The development efficiency of the 35 global major cities is evaluated by using data envelopment analysis(DEA)to divide the six dimensions into input and output indexes.The change of development efficiency of the 35 global core cities during 2011-2020 is studied by using Malmquist index.It is found that the absolute strength of each city is not necessarily related to its development efficiency,and the change of development efficiency is affected by both technological efficiency and technological progress.

Estimating the Three-Stage Cost Malmquist Productivity Index in the Taiwan Biotech and Biopharmaceutical Industry

This paper estimates and decomposes the output-oriented three-stage cost Malmquist productivity index of the Taiwan Residents biotech and biopharmaceutical （B＆BP） industry in 2004-2007 periods. The empirical estimations proceed in three stages. Following the methodology of Yang and Huang （2009） with the assumption of variable return to scale （VRS） in the first stage, the original cost Malmquist productivity index （CM） is decomposed into five sources of productivity change： pure technical efficiency change, technical change, allocative efficiency change （AEC）, input-price effect, and cost scale efficiency change. The method of Yang and Huang （2009） is an excellent contribution, but it did not deal with the exogenous environmental variables and noises. In the second stage, the original input variables are adjusted by the exogenous environmental variables. Finally, adjusted input variables produced by the second stage are reused for obtaining the reality of CM in the third stage.

2013—2019年上海市市级医院运行效率及影响因素

目的分析2013—2019年上海市市级医院的运行效率及其影响因素,为医院提质增效提供依据。方法以上海市12家市级综合医院与18家市级专科医院为研究对象,运用DEA-BCC模型、Malmquist指数模型与Tobit回归模型测算样本医院的效率及其动态变化情况,并分析其影响因素。结果2013—2019年,样本综合医院的全要素生产率与技术进步指数增长,技术效率指数下降,样本专科医院的全要素生产率、技术进步指数、技术效率均增长。进一步分析发现,卫生技术人员占比、床位使用率、院区总数与技术效率正相关,31 d再入院率、药占比与技术效率负相关。结论样本医院运行效率较高,但多数医院处于规模不经济状态,应调整发展规模,优化资源配置。样本医院的全要素生产率提高主要依靠技术进步推动,建议加强人才建设,提高技术创新能力。样本医院运行效率受多重因素影响,制定战略目标时应结合实际情况进行统筹规划。

Eco-efficiency evaluation of symbiotic network for environmental governance PPP projects

Under the goal of "double carbon " strategy,the government and enterprises collaborate to form an efficient environmental governance symbiosis network to reduce pollution and carbon.Based on the panel data of 30 provinces,the static and dynamic eco-efficiency of the symbiotic network of environmental governance PPP projects are measured by using the SBM model and Malmquist index considering the super-efficiency of non-expected output.The results show that:(1) 8 provinces,including Hebei,have efficiency values greater than 1;11 provinces,including Liaoning,have organizational technology and management levels conducive to efficiency improvement,and 12 provinces,including Zhejiang,are closest to optimal scale efficiency.(2) Redundancy of energy conservation and environmental protection expenditures,urban environmental infrastructure construction investment and new product development projects,insufficient waste gas treatment capacity,environmental emergencies and carbon emission redundancy are all significant factors affecting eco-efficiency.(3) The dynamic efficiency of 8 provinces,including Fujian,shows a decreasing trend,and the Malmquist index and its decomposition indicate that the utilization rate of environmental governance technology should be improved and environmental resources should be allocated rationally.

县域医疗共同体建设背景下的乡镇卫生院效率

目的了解我国乡镇卫生院的运行现状及县域医疗共同体建设前后的效率变化,为政府相关部门决策提供参考依据。方法用数据包络分析和Malmquist指数,分析我国29个省(自治区、直辖市)的乡镇卫生院的投入产出效率。结果29个省(自治区、直辖市)的乡镇卫生院的技术效率均数为0.773,最高为1.000,最低为0.384,效率的地区差异较明显。2016—2018年,除纯技术效率略有上升外,全要素生产率、技术效率、技术均有所下降。乡镇卫生院整体运行效率较低,产出不足与投入冗余是主要原因,规模效率和技术制约了乡镇卫生院生产率的增长。结论建议:因地制宜,优化卫生资源配置;发挥政府主导作用,完善医疗共同体配套政策;引导居民转变就医理念,合理就医。

Evaluation and Influence Factor of Green Efficiency of China’s Agricultural Innovation from the Perspective of Technical Transformation

Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.

Bootstrapping Data Envelopment Analysis of Efficiency and Productivity of County Public Hospitals in Eastern, Central, and Western China after the Public Hospital Reform

China implemented the public hospital reform in 2012. This study utilized bootstrapping data envelopment analysis（DEA） to evaluate the technical efficiency（TE） and productivity of county public hospitals in Eastern, Central, and Western China after the 2012 public hospital reform. Data from 127 county public hospitals（39, 45, and 43 in Eastern, Central, and Western China, respectively） were collected during 2012–2015. Changes of TE and productivity over time were estimated by bootstrapping DEA and bootstrapping Malmquist. The disparities in TE and productivity among public hospitals in the three regions of China were compared by Kruskal–Wallis H test and Mann–Whitney U test. The average bias-corrected TE values for the four-year period were 0.6442, 0.5785, 0.6099, and 0.6094 in Eastern, Central, and Western China, and the entire country respectively, with average non-technical efficiency, low pure technical efficiency（PTE）, and high scale efficiency found. Productivity increased by 8.12%, 0.25%, 12.11%, and 11.58% in China and its three regions during 2012–2015, and such increase in productivity resulted from progressive technological changes by 16.42%, 6.32%, 21.08%, and 21.42%, respectively. The TE and PTE of the county hospitals significantly differed among the three regions of China. Eastern and Western China showed significantly higher TE and PTE than Central China. More than 60% of county public hospitals in China and its three areas operated at decreasing return scales. There was a considerable space for TE improvement in county hospitals in China and its three regions. During 2012–2015, the hospitals experienced progressive productivity; however, the PTE changed adversely. Moreover, Central China continuously achieved a significantly lower efficiency score than Eastern and Western China. Decision makers and administrators in China should identify the causes of the observed inefficiencies and take appropriate measures to increase the efficiency of county public hospitals in the three areas of China, especially in Central China.

Dynamic Changes,Regional Differences,and Influencing Factorsof CO_2 Emission Performance in China

This paper proposes to use DEA models with undesirable outputs to construct the Malmquist index that can be use to investigate the dynamic changes of CO 2 emission performance.With the index,the authors have measured the CO 2 emission performance of 28 provinces and autonomous regions in China from 1996 to 2007;with the convergence theory and panel data regression model,the authors analyze the regional differences and the influencing factors.It is found that the performance of CO 2 emissions in China has been continuously improved mainly due to the technological progress,and the average improvement rate is 3.25%,with a cumulative improvement rate of 40.86%.In addition,the CO 2 emission performance varies across four regions.As a whole,the performance score of eastern China is the highest.The northeastern and central China has relatively lower performance scores,and the western China is relatively backward.The regional differences are decreasing,and the performance of CO 2 emissions is convergent.The influence of some factors on the performance of CO 2 emissions is significant,such as the level of economic development,the level of industrial structure,energy intensity,and ownership structure.The influence of some factors,such as opening-up to the outside world,on the performance of CO 2 emissions is not significant..

Performance Evaluation of Food and Beverage Listed Companies in Vietnam

During the last decade,the food and beverage industry has been one of the most significant and prioritized industries that contributed to the economic growth in Vietnam.Therefore,how to enhance the performance of food and beverage firms has become a critical factor for Vietnam’s economic development.This research aims to use the data envelopment analysis(DEA)and the Malmquist productivity index(MPI)to assess changes in operational performance and productivity of listed lead food and beverage firms in Vietnam during the period between 2015 and 2020.The obtained results reveal that Vietnamese food and beverage firms were generally inefficient between 2015 and 2020 because the number of relatively inefficient companies was higher than the relatively efficient ones in each year between 2015 and 2020.The MPI findings indicate the growth in productivity during the study period as a result of technological progress.By integrating the findings of the relative efficiency and productivity change,this study creates five decision-making matrixes for five periods,respectively,from 2015 to 2020 to position the food and beverage firms in each sector.The analytical results provide instructions to senior managers on developing strategy for increasing efficiency of food and beverage listed companies in Vietnam.

The Efficiency and Productivity Analyses of the Turkish Banking Sector After the Restructuring Program

After the 2001 economic crisis, the banking sector restructuring program （BSRP） has been designed for the establishment of a stronger financial framework and the improvement of competition in the Turkish banking sector. The program constitutes the policies for solving specific problems such as the mismanaged assets of some banks and the recovery of regulating and supervising of the sector. This study aims to analyze the efficiency and productivity changes in the Turkish banking sector during 2002-2009. During this period the Banking Sector Restructuring Program has been applied. The data envolepment analysis （DEA） is conducted for the efficiency measurement under the production and intermediation approaches and it is observed that the efficiency of banks increased for both approaches. The mean efficiency values for the intermediation approach are higher than the values for the production approach, indicating a better functioning in financial intermediation as compared to their operational performance. The Malmquist index based on the intermediation approach is calculated to determine the productivity of the banking sector. It is observed that the productivity of banks increased during the period and the increase resulted mainly from investments in technology.

Environmental improvement or industry enhancement?A case study on the impact of environmental regulations on Chinese automobile industry

Developing countries are encouraged to pursue environmental protection and industrial development simultaneously,although it is a big challenge to reach win-win situation.This study explored the relationshipbetween environmental regulations and the industry enhancement in developing countries through conducting an empirical analysis of the impact of environmental regulationson Chinese automobile industry.In the empirical analysis,a total of64Chinese automobile enterprises were investigated,the Malmquist index of total factor productivity was adopted to determine the productivity of Chinese automobiles,and the two-step system Generalised Method of Moments(GMM)estimation was used for the regressionanalysis.The resultsshowedthat environmental regulations negatively affected the productivity and technology of Chinese automobile industry during 2004-2018.The production costof automobile industry in China was rising sharply,and the productivity and technological progress of Chinese automobile industry were impeded significantly.The case of Chinese automobile industry illustrated that strict environmental requirements can negatively impact industry productivity by increasing production costs and squeezing industry profits.

Measuring the Efficiency of Executive MBA Programs in China

Based on the data of the best EMBA ranking in China selected by Manager Magazine,DEA and Malmquist index were used to evaluate the efficiency of EMBA programs of top 17 business schools in China.The results show that the overall EMBA programs have a high value on technical efficiency due to the high pure technical efficiency and scale efficiency.As the technical regress deepened,the total factor productivity of EMBA program presents a dropped tendency.According to the cross analysis of technical efficiency and total factor productivity,different business schools should adopt different development strategies.

A Nonparametric and Aggregation Theoretic Approach for Measuring Productivity of US Banks during 2006-2016

Existing literature related to efficiency measurement and productivity analysis of banks is swarmed with the input-output classification of banks based on using accounting conventions. This usage varies from paper to paper. No two research papers are in consensus as to which classification should be used. This present work, however, uses the input-output classification of banks based on Barnett’s generalized model of production for financial intermediaries originally proposed in Barnett (1987) [1]. This model is based on economic theory definitions of inputs and outputs of a bank. Using this classification, the paper applies Data Envelopment Analysis to US banks during 2006-2016. This new methodology seeks to resolve and fix the issue of lack of consensus regarding which inputs and outputs to use for productivity analysis of banks. Furthermore, a standardized way of measuring productivity across banks is developed which can be used all over the world. This is accomplished by using the Malmquist Index of Productivity which is a tool used under Data Envelopment Analysis. The paper further establishes the connection of this tool with Barnett’s generalized model of production for financial intermediaries. Results indicate very high efficiency levels for US banks even post financial crisis. The reason for this performance is the cleansing of the financial system as unhealthy banks either left the scene or were merged. Better risk management, cost management and efficiency of structure of funding are some other reasons for high efficiency.