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Prediction of efficient outputs based on GM(1,N) model and weak DEA efficiency 被引量:2
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作者 Jiefang Wang Sifeng Liu 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2011年第6期933-939,共7页
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 ou... 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. 展开更多
关键词 efficient outputs GM(1 N) model data envelopment analysis(dea weak dea efficiency prediction.
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Spatial-temporal Divergence Characteristics and Driving Factors of Green Economic Efficiency in the Yangtze River Economic Belt of China
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作者 PAN Ting JIN Gui +1 位作者 ZENG Shibo WANG Rui 《Chinese Geographical Science》 SCIE CSCD 2024年第6期1158-1174,共17页
The spatial and temporal variation of green economic efficiency and its driving factors are of great significance for the con-struction of high-efficiency and low-consumption green development model and sustainable so... The spatial and temporal variation of green economic efficiency and its driving factors are of great significance for the con-struction 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 autocorrel-ation 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. 展开更多
关键词 green economic efficiency miniumum distance to strong efficient frontier dea(MinDs) spatial-temporal evolution Geo-detector Yangtze River Economic Belt(YREB) China
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Assessment on Different Schemes of Industrial Structure Adjustment Based on DEA 被引量:2
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作者 FULi-fang MENGJun 《Journal of Northeast Agricultural University(English Edition)》 CAS 2004年第1期93-96,共4页
DEA is a new research field in operations research. It has unique virtues in dealing with assessment problem with multi-inputs especially multi-outputs. In this paper, DEA model of D?着C2R has been applied to evaluate... DEA is a new research field in operations research. It has unique virtues in dealing with assessment problem with multi-inputs especially multi-outputs. In this paper, DEA model of D?着C2R has been applied to evaluate the relative efficiency of several different schemes of industrial structure adjustment of agriculture and finally select the optimal scheme. Furthermore, the inferior scheme has been improved according to some useful insights got from DEA model. 展开更多
关键词 industrial structure adjustment of agriculture dea dea efficient
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Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan) 被引量:1
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作者 Zeeshan Ahmad Meng Jun +3 位作者 Muhammad Abdullah Mazhar Nadeem Ishaq Majid Lateef Imran Khan 《Journal of Northeast Agricultural University(English Edition)》 CAS 2015年第4期48-52,共5页
This paper used the modern evaluation method of DEA (Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural prod... This paper used the modern evaluation method of DEA (Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carded on. 展开更多
关键词 agricultural industrial structure adjustment agricultural production structure dea efficient DMU's ranking PUNJAB
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Evaluation and Selection of the Optimal Scheme of Industrial Structure Adjustment Based on DEA 被引量:1
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作者 FU Lifang GE Jiaqi MENG Jun 《Journal of Northeast Agricultural University(English Edition)》 CAS 2006年第1期69-72,共4页
in the paper, the advanced assessment method of DEA (Date Envelopment Analysis) had been used to evaluate relative efficiency and select the optimal scheme of agricultural industrial structure adjustment. According ... in the paper, the advanced assessment method of DEA (Date Envelopment Analysis) had been used to evaluate relative efficiency and select the optimal scheme of agricultural industrial structure adjustment. According to the results of DEA models, we analyzed scale benefits of every optional schemes, probed deeply the ultimate reason for not DEA efficient, which clarified the method and approach to improve these optional schemes. Finally, a new method had been proposed to rank and select the optimal scheme. The research is significant to direct the practice of the adjustment of agricultural industrial structure. 展开更多
关键词 adjustment of industrial structure dea efficient ranking of DMUs
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Data Envelopment Analysis for Measuring Scientific Research Efficiency of Universities
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作者 LI Shugen YANG Yinsheng CAI Zhigang Department of Applied Mathematics, Jilin University of Technology, Changchun 130025, China 《Systems Science and Systems Engineering》 CSCD 1993年第4期302-309,共8页
In this paper, the DEA method-data envelopment analysis is used to evaluate the relative efficiency of the scientific research of universities and colleges. Three models: OCR, CCGSS and CCWH are chosen at the same tim... In this paper, the DEA method-data envelopment analysis is used to evaluate the relative efficiency of the scientific research of universities and colleges. Three models: OCR, CCGSS and CCWH are chosen at the same time. Compared with the traditional comprehensive evaluating methods, the DEA method is more reasonable and accurate. 展开更多
关键词 decision-making units(DMU) dea efficiency.
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Data Envelopment Analysis Approach on the Industrial Efficiency and Scales and Its Application in Shandong
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作者 WANG Xingyuan(Department of Management Science and Engineering Shandong University of Technology, Ji’nan 250014) 《Systems Science and Systems Engineering》 CSCD 1994年第2期140-147,共8页
A data envelopment analysis (DEA ) model is set up for the industrial efficiency and scales evaluation in this paper. By calculating. the efficiency coefficient and the scale state of Shandong province in Chian are ... A data envelopment analysis (DEA ) model is set up for the industrial efficiency and scales evaluation in this paper. By calculating. the efficiency coefficient and the scale state of Shandong province in Chian are obtained. Based on the analysis results, the paper presents the improvement ways which make the industrial efficiency getting to the higher levell by adjusting the input and output variables of the industry of Shandong. 展开更多
关键词 dais envelopment analysis (dea). industrial efficiency industrial scale.
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Application of Integrated Multiple Criteria Data Envelopment Analysis to Humanitarian Logistics Network Design 被引量:1
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作者 Jae-Dong Hong 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2020年第6期709-729,共21页
This paper considers a humanitarian logistics network(HTLN)design problem,including the emergency relief facilities(ERFs)location-allocation decision for the efficient distribution of emergency supplies from the ERFs ... This paper considers a humanitarian logistics network(HTLN)design problem,including the emergency relief facilities(ERFs)location-allocation decision for the efficient distribution of emergency supplies from the ERFs to the affected areas.A goal programming(GP)approach is applied to consider the multiple objectives simultaneously.Solving the GP model with a given weight assigned to each goal yields a single HTLN scheme,so there will be various schemes available by solving the GP with multiple values of the weights.For evaluating these schemes and identifying the most efficient one,we apply the data envelopment analysis(DEA)methods considering each scheme as a decision-making unit(DMU).Since the classical DEA(C-DEA)intrinsically aims to identify efficient DMUs and the efficient frontier,the use of C-DEA may not lead to a full ranking in many situations.There are several independent evaluation approaches to increasing discriminating power.Among them,this study integrates the multiple criteria DEA(MC-DEA)with the following three DEA methods,(i)stratification DEA(S^DEA),(ii)cross-efficiency DEA(CE-DEA),and(iii)super-efficiency DEA(SE-DEA),to make the most use of each method's strengths.Through a case study of designing the HTLN system for South Carolina,the procedure of implementing the integrated multiple criteria DEA(IMC-DEA)method is demonstrated.It is observed that the IMCDEA method performs well in terms of designing the HTLN system and would help the decision-makers consider more efficient options and make a final decision. 展开更多
关键词 Humanitarian logistics network goal programming decision-making unit data envelopment analysis(dea) stratification dea cross efficiency dea super-efficiency dea multiple-criteria dea
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