Two-Stage Data Envelopment Analysis Models with Negative System Outputs for the Efficiency Evaluation of Government Financial Policies

被引:2
作者
Lychev, Andrey V. [1 ]
Ratner, Svetlana V. [1 ,2 ,3 ]
Krivonozhko, Vladimir E. [1 ]
机构
[1] Natl Univ Sci & Technol MISIS, Coll Informat Technol & Comp Sci, 4 Leninsky Ave,Bldg 1, Moscow 119049, Russia
[2] Peoples Friendship Univ Russia, Dept Econ & Math Modelling, 6 Miklukho Maklaya St, Moscow 117198, Russia
[3] Russian Acad Sci, VA Trapeznikov Inst Control Sci, Econ Dynam & Innovat Management Lab, 65 Profsoyuznaya St, Moscow 117997, Russia
基金
俄罗斯科学基金会;
关键词
data envelopment analysis; two-stage models; negative outputs; range directional measure; returns to scale; energy innovations; decardonization; energy efficiency; public funding; RANGE DIRECTIONAL MEASURE; ORIENTED RADIAL MEASURE; DEA MODEL; PERFORMANCE; SCALE; SUSTAINABILITY; LIFE;
D O I
10.3390/math11244873
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The main purpose of this study is to provide a comparative analysis of several possible approaches to applying data envelopment analysis (DEA) in the case where some decision making units (DMUs) in the original sample have negative system outputs. In comparison to the traditional model of Charnes, Cooper, and Rhodes (CCR) and the CCR model with a scale shift to measure second-stage outputs, the range directional measure (RDM) model produces the most appropriate results. In this paper, an approach is proposed for estimating returns to scale. The study applies a two-stage DEA model with negative second-stage outputs to assess the public support for research, development, and demonstration projects in the energy sector in 23 countries over the period from 2010 to 2018. The assessment of government performance depends on its contribution to the growth of energy efficiency in the national economy and the reduction of its carbon intensity. Intermediate outputs (patents in the energy sector) are included in the analysis as both outputs of the first stage and inputs of the second stage. Taking the similarity between the calculations obtained without stage separation and the system efficiency calculations from the two-stage model as a measure of model adequacy, the RDM model shows the highest similarity scores.
引用
收藏
页数:21
相关论文
共 74 条
[61]  
The World Bank Group Databank, GDP per Unit of Energy Use 2022b
[62]  
Tohidi Ghasem, 2013, Journal of Industrial Engineering International, V9, DOI 10.1186/2251-712X-9-16
[63]   Evaluation efficiency of large-scale data set with negative data: an artificial neural network approach [J].
Toloo, Mehdi ;
Zandi, Ameneh ;
Emrouznejad, Ali .
JOURNAL OF SUPERCOMPUTING, 2015, 71 (07) :2397-2411
[64]   Handling negative data in slacks-based measure data envelopment analysis models [J].
Tone, Kaoru ;
Chang, Tsung-Sheng ;
Wu, Chen-Hui .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 282 (03) :926-935
[65]   Enhancing Lithium-Ion Battery Manufacturing Efficiency: A Comparative Analysis Using DEA Malmquist and Epsilon-Based Measures [J].
Wang, Chia-Nan ;
Yang, Fu-Chiang ;
Vo, Nhut T. M. ;
Nguyen, Van Thanh Tien .
BATTERIES-BASEL, 2023, 9 (06)
[66]   PERFORMANCE EVALUATION OF THE CHINESE HIGH-TECH INDUSTRY: A TWO-STAGE DEA APPROACH WITH FEEDBACK AND SHARED RESOURCE [J].
Wang, Dawei ;
Zhao, Linlin ;
Yang, Feng ;
Chen, Kehong .
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION, 2022, 18 (05) :3315-3338
[68]   A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies [J].
Yang, ZJ .
MATHEMATICAL AND COMPUTER MODELLING, 2006, 43 (7-8) :910-919
[69]   Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach [J].
Yu, Anyu ;
Shi, Yu ;
You, Jianxin ;
Zhu, Joe .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 292 (01) :199-212
[70]   Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach [J].
Yu, Ming-Miin ;
Lin, Chung-, I ;
Chen, Kuan-Chen ;
Chen, Li-Hsueh .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2021, 98