Empirical Analysis of China's Direct Food Subsidy Policy Based on DEA Model: A Case Study of Direct Food Subsidy Policy in Shandong Province

The direct food subsidy is an important agricultural subsidy policy under current conditions,more efficient than grain price protection policy and other policies,and it is of great importance to the agricultural development,but this policy will not meet the interests of society in the long run. In this paper,we make an empirical study with the direct food subsidy policy in Shandong Province as an example,focusing on the analysis of the efficiency of policy implementation in different regions. Study suggests that direct food subsidy has made some achievements,but there are some problems in practice,such as low standard for direct food subsidy policy,less subsidy varieties,generally low efficiency of direct food subsidy policy,lack of unified policy implementation,serious waste of money and inefficient supervision during the subsidy policy implementation process. In order to improve the efficiency of direct food subsidy,it is necessary to raise standard for subsidy,and expand the scope of subsidy varieties; unify the policy,and make the policy suit local circumstances; improve the subsidy mechanism,regulate government behavior,and strengthen supervision.

Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

Energy efficiency evaluation plays an important role in energy efficiency improvement of the ethylene production. It is observed from the actual production data that the ethylene production energy efficiency often varies with the complex production working conditions. In the favored methods for energy efficiency evaluation,DEA models may show poor resolution when directly used to evaluate the efficiency values. Therefore, a new energy efficiency evaluation method for ethylene production is proposed based on DEA integrated factor analysis with respect to operation classification. Three key factors, including raw material composition, cracking depth and load rate, are taken into account in determining the production working conditions by means of k-means algorithm. Based on the multi-working conditions mode the energy efficiency evaluation of the ethylene production is made by using DEA model, where the most related energy data are screened by factor analysis.Furthermore, the supporting decision of energy efficiency improvement is provided to the operators. The accuracy and effectiveness of the proposed method are illustrated by applying in a practical ethylene production,which gives more effective energy efficiency evaluation in the complicated working conditions of ethylene production with declined dimension of input indicators.

Analysis of the efficiency of regional tourism based on DEA window technology

In this study,data envelopment analysis is used to measure the tourism efficiency of 31 regions in China according to the panel data from the year 2000 to 2010.The conclusion shows that the efficiency of tourism industry is on the rise as a whole,while the diversity of every region becomes more and more apparent.High efficiency appears in east regions like Beijing,Tianjin and Shanghai where the economy is developed,and regions like Jilin,Sichuan and Gansu in the midland and west show low efficiency.

Analysis on regional disparity of economic development in China based on DEA

The economy of China has been developing fast after the beginning of the new century, but the 31 provinces or municipalities （excluding Hong Kong, Taiwan and Macao） develop disparately. So, finding an appropriate way to analyze and compare the economic situations of various regions is of great significance for the balanced development of the east coastal area and the hinterland. With the DEA method, on the basis of regionalism, this paper analyzes various regions of China, and gets the conclusion that the effective proportion of DEA of the coastal developed areas is relatively higher, and the extremely tittle foreign investment makes the relative efficiency of DEA of frontier areas pretty high. In addition, through the analysis parameters of the regions where DEA is relatively ineffective, this paper points out that the surplus labor force is the most influential factor, and the spare foreign investment is the main reason for the lack of efficiency of relatively developed regions.

Agricultural Eco-efficiency Evaluation in Anhui Province: An Empirical Analysis Based on DEA Method

According to the eco-efficiency theory, combined with agricultural production characteristics, I point out the environmental impact and substance energy consumption characteristics of agricultural production. Based on this, I establish the eco-efficiency evaluation indicator system for agricultural production, and conduct a comprehensive analysis on the agricultural eco-efficiency of 17 prefecture-level cities in Anhui Province, using data envelopment analysis method.

Evaluation of Energy Efficiency and Analysis of Influencing Factors of Company CW’s Manufacturing Workshops

In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed.The findings indicated that aside from a few workshops operating at the production frontier,the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency.Subsequently,a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops.Regression analysis revealed that technological investments,employee quality,workshop production scale,investment in clean energy,and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops.By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors,this research aids company managers in understanding the energy efficiency of the manufacturing process.It optimizes the combination of various production elements,thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops,which can contribute to enhancing the corporation’s overall energy efficiency.

Empirical Analysis of Agricultural Cultural Resources Value Evaluation under DEA Model

Agricultural culture is a productive activity about education and management.It aims at high efficiency and high quality,uses technology as its means,and takes nature as its carrier.Agricultural cultural resources are the product of the rapid development of modern economy.It promotes the development of the national economy and profoundly affects people's production and life.DEA model,also known as data envelope analysis method,is an algorithm that uses multiple data decision units for input and output training to obtain the final model.This article explains the concept and basic characteristics of agricultural culture.Through questionnaire surveys and expert interviews,we collected development data,screened human,material,and financial data,and calculated information on economic and social resources.On this basis,this paper establishes the evaluation index of agricultural culture based on DEA model.Then,through empirical analysis from a specific perspective,it can be concluded that increasing human,material and financial input can achieve economic and social benefits.Generally speaking,cultural investment can promote the development of the industry.The research results of this paper laid a theoretical foundation for the development of agricultural culture,and put forward a development model focusing on technology development,improving investment efficiency,and investing in material resources.

Cost Containment of Total Knee Arthroplasty in the US: DEA Analysis on Regional Cost and Clinical Comparison between 2010 and 2013

The purpose of this research is to evaluate clinical and cost effectiveness of total knee replacement surgery (TKA) for adults hospitalized in the United States between 2010 and 2013. We tried to answer the question that whether lower length of stay and higher utilization of post-op facilities would be helpful to control the overall costs. Using the National Hospital Discharge Survey (NHDS) database and cost data from Blue Cross Blue shield, this study seeks to identify which U.S. region renders the highest quality patient care during a three-year span of 2008-2010. Using length of stay and discharge disposition (2010) as input factors, and regional TKA costs (2013) as output factors, Data Envelopment Analysis (DEA), a non-parametric method, illustrated the efficiency ranking of four regions in the US on TKA expenditures. The result shows the West is the most efficient region on controlling the overall cost by shrinking the length of stay and increasing the utilization of short-term/long-term care facilities.

The Analysis of the Agriculture Input and Output Efficiency Based on DEA Model

Fiscal agricultural expenditure has been increased rapidly for a long time,but ＂Agriculture,Countryside and Farmer＂ issues have not yet been resolved fundamentally,which illustrates that the main direction of fiscal agricultural expenditure and the appropriate intensity of input have not been discovered exactly before implementing the policy.This thesis analyzed the agriculture input and output efficiency by input-DEA model,and then summarizes bygone problem about fiscal agricultural expenditure.At last,some effective suggestions were proposed about optimizing the agriculture input and output efficiency.

Failure Mode and Effects Analysis （FMEA） by Fuzzy Data Envelop Analysis （Fuzzy-DEA）

Failure mode and effects analysis （FMEA） offers a quick and easy way for identifying ranking-order for all failure modes in a system or a product. In FMEA the ranking methods is so called risk priority number （RPN）, which is a mathematical product of severity （S）, occurrence （0）, and detection （D）. One of major disadvantages of this ranking-order is that the failure mode with different combination of SODs may generate same RPN resulting in difficult decision-making. Another shortfall of FMEA is lacking of discerning contribution factors, which lead to insufficient information about scaling of improving effort. Through data envelopment analysis （DEA） technique and its extension, the proposed approach evolves the current rankings for failure modes by exclusively investigating SOD in lieu of RPN and to furnish with improving sca.les for SOD. The purpose of present study is to propose a state-of-the-art new approach to enhance assessment capabilities of failure mode and effects analysis （FMEA）. The paper proposes a state-of-the-art new approach, robust, structured and useful in practice, for failure analysis.

Efficiency assessment of coal mine safety input by data envelopment analysis

In recent years improper allocation of safety input has prevailed in coal mines in China, which resulted in the frequent accidents in coal mining operation. A comprehensive assessment of the input efficiency of coal mine safety should lead to improved efficiency in the use of funds and management resources. This helps government and enterprise managers better understand how safety inputs are used and to optimize allocation of resources. Study on coal mine＇s efficiency assessment of safety input was con- ducted in this paper. A C^2R model with non-Archimedean infinitesimal vector based on output is established after consideration of the input characteristics and the model properties. An assessment of an operating mine was done using a specific set of input and output criteria. It is found that the safety input was efficient in 2002 and 2005 and was weakly efficient in 2003. However, the efficiency was relatively low in both 2001 and 2004. The safety input resources can be optimized and adjusted by means of projection theory. Such analysis shows that, on average in 2001 and 2004, 45% of the expended funds could have been saved. Likewise, 10% of the safety management and technical staff could have been eliminated and working hours devoted to safety could have been reduced by 12%. These conditions could have Riven the same results.

Robust data envelopment analysis based MCDM with the consideration of uncertain data

The application of data envelopment analysis （DEA） as a multiple criteria decision making （MCDM） technique has been gaining more and more attention in recent research. In the practice of applying DEA approach, the appearance of uncertainties on input and output data of decision making unit （DMU） might make the nominal solution infeasible and lead to the efficiency scores meaningless from practical view. This paper analyzes the impact of data uncertainty on the evaluation results of DEA, and proposes several robust DEA models based on the adaptation of recently developed robust optimization approaches, which would be immune against input and output data uncertainties. The robust DEA models developed are based on input-oriented and outputoriented CCR model, respectively, when the uncertainties appear in output data and input data separately. Furthermore, the robust DEA models could deal with random symmetric uncertainty and unknown-but-bounded uncertainty, in both of which the distributions of the random data entries are permitted to be unknown. The robust DEA models are implemented in a numerical example and the efficiency scores and rankings of these models are compared. The results indicate that the robust DEA approach could be a more reliable method for efficiency evaluation and ranking in MCDM problems.

Data envelopment analysis procedure with two non-homogeneous DMU groups

The classic data envelopment analysis（DEA） model is used to evaluate decision-making units＇（DMUs） efficiency under the assumption that all DMUs are evaluated with the same criteria setting. Recently, new researches begin to focus on the efficiency analysis of non-homogeneous DMU arose by real practices such as the evaluation of departments in a university, where departments argue for the adoption of different criteria based on their disciplinary characteristics. A DEA procedure is proposed in this paper to address the efficiency analysis of two non-homogeneous DMU groups. Firstly, an analytical framework is established to compromise diversified input and output（IO） criteria from two nonhomogenous groups. Then, a criteria fusion operation is designed to obtain different DEA analysis strategies. Meanwhile, Friedman test is introduced to analyze the consistency of all efficiency results produced by different strategies. Next, ordered weighted averaging（OWA） operators are applied to integrate different information to reach final conclusions. Finally, a numerical example is used to illustrate the proposed method. The result indicates that the proposed method relaxes the restriction of the classical DEA model,and can provide more analytical flexibility to address different decision analysis scenarios arose from practical applications.

Prediction Model of Data Envelopment Analysis with Undesirable Outputs

Data envelopment analysis (DEA) has become a standard non parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it can solve the prediction problem with multiple inputs and outputs which can not be solved easily by the regression analysis method.But the traditional DEA models can not solve the problem with undesirable outputs,so in this paper the inherent relationship between goal programming and the DEA method based on the relationship between multiple goal programming and goal programming is explored,and a mixed DEA model which can make all factors of inputs and undesirable outputs decrease in different proportions is built.And at the same time,all the factors of desirable outputs increase in different proportions.

Empirical analysis on TFP change in Chinese logistics industry： A nonparametric Malmquist index approach

Through a nonparametric Malmquist index approach, this paper analyzes the total factor productivity change in China＇s logistics industry with panel data of logistics listed corporation from 1999 to 2006, which decomposed into technical efficiency and technical progress. The result shows： （1） The average growth rate of Chinese logistics corporations from 1999 to 2006 is 0.4%, which is mainly due to the improvement of technical efficiency; （2） Technical progress which took the negative effect of the decline could not be neglected; （3） The role of technical efficiency and technical progress are different with time varying.

A New Approach for Ranking Efficient Units in Data Envelopment Analysis and Application to a Sample of Vietnamese Agricultural Bank Branches

This paper proposes a new approach for ranking efficiency units in data envelopment analysis as a modification of the super-efficiency models developed by Tone [1]. The new approach based on slacks-based measure of efficiency (SBM) for dealing with objective function used to classify all of the decision-making units allows the ranking of all inefficient DMUs and overcomes the disadvantages of infeasibility. This method also is applied to rank super-efficient scores for the sample of 145 agricultural bank branches in Viet Nam during 2007-2010. We then compare the estimated results from the new SCI model and the exsisting SBM model by using some statistical tests.

AIDS Treatments Efficiency Analysis Based on Cost Efficiency Data Envelopment Analysis Model

Three data envelopment analysis (DEA) models were used to analyse the relative efficiencies of four AIDS treatments in AIDS Clinical Trial Group (ACTG) Study 193A(1 309 patients in total, classified into 4 age groups). Results from the output-oriented BCC model show that Treatment 4 ( 600 mg of zidovudine plus 400 mg of didanosine plus 400 mg of nevirapine) is particularly efficient for age group 14—25, but not efficient for the older age groups; Treatment 1 (600 mg of zidovudine alternating monthly with 400 mg of didanosine)and Treatment 2 (600 mg of zidovudine plus 2.25 mg of zalcitabine) are efficient for the age groups 35—45 and 45— ; age group 25—35 does not have a particularly efficient treatment, but Treatments 1 and 2 are relatively good. The cost efficiency BCC model, which takes the treatment cost into account, gives similar results as the output-oriented model. Results from the indirect output-oriented BCC model, which allows the replacement among medicines, show that the efficiency of Treatment 2 has greatly decreased compared with that of the output-oriented model, and a set of optimal medicine amounts for different age groups is obtained.

学术期刊评价中DEA方法的系统误差研究

[目的/意义]DEA分析在学术期刊评价中得到了广泛应用,但其系统误差问题却没有得到足够重视。因此,深入研究该问题的根源及其解决策略,可以更为精确地揭示学术期刊的真实水平。[方法/过程]本文将系统误差理论引入到DEA分析中,在理论分析的基础上,对学术期刊评价中DEA方法的系统误差的产生机制及其影响进行深度探究,并在此基础上提出有效预防和消减系统误差的方法。[结果/结论]研究发现,我国DEA学术期刊评价仍处于探索阶段,学术期刊评价中DEA方法的系统误差的产生原因包括评价目的确定的系统误差、投入产出变量选取的系统误差、评价方法适用性系统误差、模型设定误差与结果公布系统误差,评价指标选取与方法选择是学术期刊评价中DEA方法的系统误差产生的主要原因,并提出了预防和消除学术期刊DEA效率分析系统误差的解决方案:认真选择学术期刊效率评价投入产出指标,保证评价对象数量达到一定规模,结合评价目的选择评价方法,不宜滥用复杂的DEA模型,采用专家赋权法设定权重。科技评价效率分析同样存在系统误差问题,需因地制宜进行处理,对于具有公共物品属性的学术评价应适度采用DEA方法。

The Treatment of Non-zero Slacks in Data Envelopment Analysis

The paper studies the non-zero slacks in data envelopment analysis. A procedure is developed for the treatment of non-zero slacks. DEA projections can be done just in one step.

基于双目标DEA模型的中国省级高技术产业的创新效率评价

科学合理地评价高技术产业的创新效率,对于提升其国际科技竞争力具有重要意义。基于创新价值链理论,高技术产业创新活动一般被划分为研发和商业化两个前后连续的子阶段。本文基于合作共赢的思想,从研发子阶段和商业化子阶段合作视角出发,建立双目标DEA模型。然后对中国高技术产业在2013—2015年(包括三个连续的创新周期,即2013年代表2013—2015年;2014年代表2014—2016年;2015年代表2015—2017年)的整体创新效率、研发效率和商业化效率进行评价。实证结果表明:中国高技术产业的整体创新效率偏低,具有较大的改进空间;高技术产业的研发效率远大于商业化效率,较低的商业化效率是导致整体创新效率偏低的主因;高技术产业的整体创新效率、研发效率和商业化效率存在省际和地区之间的差异。最后,根据研发效率和商业化效率,本文将29个省级高技术产业划分为四类,为每个省级高技术产业创新效率的提升提出具体策略。本文丰富了评价理论与方法,为高技术产业的创新效率评价提供了一个新的视角,具有重要的理论价值和实践意义。