ISO Certification and Technical Efficiency in the Banking Sector:An Evidence from WAEMU’s Countries Using the DEA Method

In the view of the international organization of standardization,the introduction of ISO standards is typical of quality management systems oriented towards strengthening the efficiency of enterprises.Business banks are not excluded from this requirement.The current study aims to evaluate the effect of ISO certification on the technical performance of WAEMU banks.Using BCEAO data(2020),the DEA model and Tobit estimates show that ISO certification has no effect on the efficiency scores of the banks in the sample.It is therefore appropriate for these banks to work on improving their business climate.

基于Cross-efficiency DEA的中间站运营绩效分析

根据传统DEA存在的局限性,在有关文献研究的基础上,提出了基于Cross-efficiency DEA模型的中间站绩效分析方法,在调查收集影响中间站运营绩效基础数据的基础上,利用灰色关联分析法提取了评价指标体系,采用Cross-efficiency DEA模型对中间站运营绩效进行了分析、评价和测算,并运用MATLAB软件编程进行了求解,获得了各中间站源配置效率的排序,在对非DEA有效的决策单元进行投影分析的基础上,识别出影响决策单元运营绩效的关键因素,为改进非DEA有效决策单元提供了一个可行方案。最后利用实例验证了该模型的有效性、科学性,分析结果表明:Cross-efficiency DEA模型基本能够反映决策单元运行效率的现实状况。

Estimating regional coal resource efficiency in China using three-stage DEA and bootstrap DEA models

Based on three-stage data envelopment analysis(DEA) model estimates of resource utilization efficiency of coal,we selected 29 provinces from China's 2012 input-output data and used the bootstrap DEA model to correct the bias.The results show that the mean overall technical efficiency,pure technical efficiency,and scale efficiency was 0.833,0.998,and 0.711 in 2012,respectively.Moreover,the comprehensive technical efficiency score indicates that the scale is invalid.Area utilization efficiencies for the eastern,central,and western regions were 0.917,0.731,and 0.629,respectively.The results prove that there are significant differences in the distribution of coal resources utilization efficiency across regions.

Prediction of efficient outputs based on GM(1,N) model and weak DEA efficiency

This paper expresses the efficient outputs of decisionmaking unit（DMU） as the sum of ＂average outputs＂ forecasted by a GM（1,N） model and ＂increased outputs＂ which reflect the difficulty to realize efficient outputs.The increased outputs are solved by linear programming using data envelopment analysis efficiency theories,wherein a new sample is introduced whose inputs are equal to the budget in the issue No.n ＋ 1 and outputs are forecasted by the GM（1,N） model.The shortcoming in the existing methods that the forecasted efficient outputs may be less than the possible actual outputs according to developing trends of input-output rate in the periods of pre-n is overcome.The new prediction method provides decision-makers with more decisionmaking information,and the initial conditions are easy to be given.

Production Efficiency of Two-Oriented Agriculture Based on Three-Stage DEA Model

Two-oriented agriculture was a complex organism coupling production,economics,society and ecology.Its development process was affected by various factors such as producers,nature,society,etc.In order to overcome measurement error of traditional data envelopment analysis caused by ignoring random,three-stage DEA model was studied to remove environmental factors and random effects.On the foundation of this model was two-oriented agriculture comprehensive production efficiency of 14 cities were estimated in Hunan Province in 2008,and brown forth corresponding policy proposals to promote agricultural development.

DEA Analysis of Agricultural Production Efficiency in Hainan Province

On the basis of summarizing some literatures regarding research of agricultural production efficiency by using DEA at home,we conduct empirical analysis on agricultural production efficiency in 18 cities or counties of Hainan Province in the year 2002,2005 and 2008 by using DEA model.The results show that in 2005 Hainan Province suffered from unusual drought and windstorm,which made the effective value of agricultural production in all cities or counties relatively low;the regions with DEA effectiveness of agricultural production in the year 2002,2005 and 2008 were Qionghai City,Tunchang County,Lingao County,Danzhou City,Qiongzhong County and Baisha County.Haikou City,Wuzhishan City and Baoting County in the year 2002,Lingshui County in the year 2005,and Sanya City and Dongfang County in the year 2008 were also regions with DEA effectiveness,indicating that the input-output of these regions in the corresponding years is in optimal state.Finally,we conduct projection analysis on six cities and counties with non-DEA effectiveness in the year 2008 in Hainan Province,and based on this,find out the approach of improving agricultural production efficiency in these regions.

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.

An Analysis of Operational Efficiency of Agricultural Insurance Agency:Based on Three-Stage DEA Model

From the perspective of agricultural insurance agency,this paper focuses on the study of operational efficiency of agricultural insurance agency,and analyzes the operational efficiency of agricultural insurance agency and its influencing factors,in order to improve the operational efficiency of agricultural insurance agency,better supply agricultural insurance and achieve the policy effect of agricultural insurance.The results of this paper are as follows:( i) Either comprehensive operational efficiency or scale efficiency of Chinese-funded agency is higher than that of foreign-funded agency,but its pure technical efficiency is lower than that of foreign-funded agency,indicating that the managerial decision ability of Chinese-funded agency is weaker than that of foreign-funded agency,and needs to be improved;( ii) The operational efficiency of professional agricultural insurance agency is higher than that of comprehensive agricultural insurance agency,and the agricultural insurance agency is greatly affected by environmental factors;( iii) The operating time of agricultural insurance agency is proportional to its operational efficiency;( iv) The quality of employees is positively correlated with the capital and cost input difference,but negatively correlated with the difference in the number of employees. Therefore,it is necessary to pay attention to the improvement of employees' working efficiency while laying emphasis on employees' quality.

Spatial-temporal Divergence Characteristics and Driving Factors of Green Economic Efficiency in the Yangtze River Economic Belt of China

The spatial and temporal variation of green economic efficiency and its driving factors are of great significance for the construction of high-efficiency and low-consumption green development model and sustainable socio-economic development.The research focused on the Yangtze River Economic Belt(YREB)and employed the miniumum distance to strong efficient frontier DEA(MinDs)model to measure the green economic efficiency of the municipalities in the region between 2008 and 2020.Then,the spatial autocorrelation model was used to analyze the evolution characteristics of its spatial pattern.Finally,Geodetector was applied to reveal the drivers and their interactions on green economic efficiency.It is found that:1)the overall green economic efficiency of the YREB from 2008 to 2020 shows a W-shaped fluctuating upward trend,green economic efficiency is greater in the downstream and smallest in the upstream;2)the spatial distribution of green economic efficiency shows clustering characteristics,with multi-core clustering based on‘city clusters-central cities'becoming more obvious over time;the High-High agglomeration type is mainly clustered in Jiangsu and Zheji-ang,while the Low-Low agglomeration type is clustered in the western Sichuan Plateau area and southwestern Yunnan;3)from input-output factors,whether it is the YREB as a whole or the upper,middle and lower reaches regions,the economic development level,labor input,and capital investment are the leading factors in the spatial-temporal evolution of green economic efficiency,with the com-prehensive influence of economic development level and pollution index being the most important interactive driving factor;4)from so-cio-economic factors,information technology drivers such as government intervention,transportation accessibility,information infra-structure,and Internet penetration are always high impact influencers and dominant interaction factors for green economic efficiency in the YREB and the three major regions in the upper,middle and lower reaches.Accordingly,the article puts forward relevant policy re-commendations in terms of formulating differentiated green transformation strategies,strengthening network leadership and informa-tion technology construction and coordinating multi-factor integrated development,which could provide useful reference for promoting synergistic green economic efficiency in the YREB.

The Impact of Privatization on Terminal Efficiency: A Case Study of Tema Port

Port and terminal efficiency are of utmost importance to the container shipping industry due to their significance in enhancing the competitive advantage of ports within a region. Consequently, there have always been notable variations of studies around it. This paper analyzes the impact of privatization on terminal efficiency using the Port of Tema as a Case Study. The main objective of this paper is to analyze the efficiency trends of the public and private terminals in the port over the years. To achieve this objective, DEA-CCR methodology was employed to calculate the annual technical efficiency trends of the private and public terminals using four input variables and three output variables. The main results of the paper indicated that the public and private terminals were efficient for multiple years. However, the efficiency scores over the years demonstrated inconsistency, exhibiting notable fluctuations. The findings of this study will aid policymakers across the region on policies relating to the efficiency and ownership structure of ports and terminals.

Application of a mixed DEA model to evaluate relative efficiency validity

Data envelopment analysis(DEA) model is widely used to evaluate the relative efficiency of producers. It is a kind of objective decision method with multiple indexes. However, the two basic models frequently used at present, the C2R model and the C2GS2 model have limitations when used alone,resulting in evaluations that are often unsatisfactory. In order to solve this problem, a mixed DEA model is built and is used to evaluate the validity of the business efficiency of listed companies. An explanation of how to use this mixed DEA model is offered and its feasibility is verified.

Efficiency and sustainability of the tourism industry in Latin America

The tourism industry is economically very important.According to the World Travel Tourism Council,in 2019,the tourism industry accounted for a quarter of all new jobs created worldwide,10.3%of all jobs,and 9.6×1012 USD of the global gross domestic product.This study aimed to calculate the tourism efficiency index for different Latin American countries from 2010 to 2021 using data envelopment analysis,which analyzes the relationships between input variables(including the number of employees in the tourism industry and the number of hotel-type establishments)and output variables(including tourism expenditures in other countries and public social expenditures in recreation and culture per capita).Additionally,this study aimed to identify the countries with greater tourism development and the factors that may affect the development of the tourism industry through the stochastic frontier production function.The results of the tourism efficiency index for Central America(including Costa Rica,Dominica,El Salvador,Honduras,Mexico,and Panama)and South America(including Argentina,Brazil,Chile,Colombia,Ecuador,Paraguay,Peru,and Uruguay)exhibited different trends.However,after the global health crisis,the tourism industry recovered,showing new opportunities to promote sustainability.The results of the stochastic frontier production function demonstrated that countries with higher levels of inbound and outbound tourism,contribution of tourism to the economy,natural resources,and literacy rate exhibited more efficient tourism industry,whereas countries with higher pollution levels exhibited less efficient tourism industry.The findings of this study could allow us to formulate suitable public policies to promote tourism,maintain natural resources,and diversify these sectors with more inclusive programmes that can facilitate growth and benefit vulnerable communities.

The Efficiency Evaluation of Commercial Banks Based on DEA/TOPSIS

This paper brings forward an efficiency evaluation method based on DEA/FOPSIS for commercial banks. To avoid the slack of output index, the difference is taken into account in the weight of different output index, mending the shortage of traditional DEA evaluation methods.

基于SBM-DEA模型的江苏省碳排放效率研究

本文运用MaxDEA9软件,基于非期望产出的SBM-DEA模型和Malmquist指数法从静态和动态两个方面研究2010-2021年江苏省及其13个地级市的碳排放效率。结果表明,(1)江苏省的整体碳排放效率在2010-2021年间稳步增长,并且在2019年开始达到有效,在空间上呈现苏北大于苏南大于苏中的不均匀分布格局。(2)江苏省碳排放效率的平均增长速度呈现苏北大于苏中大于苏南的趋势。(3)江苏省及其13个地级市技术变化指数变动对碳排放效率增长有关键作用,碳排放效率各期增长速度受到当期技术发展水平的制约。

Measurement and Analysis of Agricultural Production Efficiency in Taiwan of China Based on Three-stage DEA Model

Agricultural production efficiency in Taiwan of China in 2015 is studied by using three-stage DEA model. The results show that total output value of agriculture,forestry,animal husbandry and fishery is taken as output index,while employees of agriculture,forestry,animal husbandry and fishery,number of tractors,investment in dry land and paddy field are taken as input indexes,which meets " isotropic" condition assumption of model application. Natural disaster,number of workers in agricultural production and marketing class,expenditure on farmland water conservancy are not favorable for the promotion of agricultural production efficiency,while multiple cropping index is favorable for promoting agricultural production efficiency. Three-stage DEA model effectively eliminates the influences of environmental and random factors on agricultural production efficiency. After environmental and random factors are eliminated,comprehensive technical efficiency in Taiwan of China declines because of the decline of pure technical efficiency. Each county and city of Taiwan could be divided into different types according to pure technical efficiency and scale efficiency,and it can have some emphasis in improving agricultural production efficiency according to their own efficiency characteristics.

A Comparative Study on the Land Use Efficiency of Three Urban Agglomerations-Based on the Three-Stage DEA Model

This paper uses a three-stage DEA model to measure the land use efficiency of the three major urban agglomerations in the Yangtze River Delta,Beijing-Tianjin-Hebei,and the Pearl River Delta from 2007 to 2018.The following conclusions are drawn through research:first,the urban land use efficiency of the three major urban agglomerations in the Yangtze River Delta,Beijing-Tianjin-Hebei,and the Pearl River Delta all showed a downward trend,with the rates of decline being 6.06%,2.86%,and 24.34%respectively.In particular,the Pearl River Delta urban agglomeration had the largest decline.Second,the overall urban land use efficiency of the Beijing-Tianjin-Hebei urban agglomeration is relatively high,and the amount of redundancy is relatively small.The rate of decline is significantly lower than the urban land use efficiency of the two major urban agglomerations in the Yangtze River Delta and the Pearl River Delta.The land use efficiency of the Yangtze River Delta and Pearl River Delta urban agglomerations is in a state of continuous decline.Third,the proportion of cities with the effectiveness of returns to scale of urban land use efficiency in the three major urban agglomerations has decreased by 10.53%,10%,and 33.34%,respectively.The Pearl River Delta has the largest decline.Fourth,the land use efficiency of the Yangtze River Delta urban agglomeration is quite different.The central-peripheral phenomenon is evident for the Beijing-Tianjin-Hebei urban agglomerations and the Pearl River Delta urban agglomerations.

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.

Agricultural Production Efficiency of Chongqing Based on DEA

Literatures about agricultural production efficiency are reviewed.Concept of DEA Method,as well as the definition methods of effective DEA and scale efficiency increase are introduced.According to the relevant statistical data in the years 1997-2007 in Chongqing Municipality,efficiency of agricultural economy is calculated from the year 1997 to 2007 by DEA method and the scale efficiency is also analyzed by taking the total output of agriculture,forestry,animal husbandry and fishery industry as the output index.And the input index includes total workforce in agriculture,forestry,animal husbandry and fishery,the total sown area of crops,the total power of agricultural machinery,chemical fertilizer application,the draft animal,and the effective irrigation area.Result shows that Chongqing City became a municipality directly under the central government;its agricultural production efficiency is still low.And the sustainable development capacity of agricultural is weak in Chongqing,and the agricultural resources are not fully used.Based on this,related suggestions are put forward to improve the agricultural production efficiency of Chongqing,such as implementing an appropriate management scale of land,improving the organization degree of peasant households and the rate of industrialization management,enhancing the quality of the rural labor force,strengthening the agricultural science and technology input and extension,perfecting the construction of rural infrastructure,and improving the rate of resource utilization.