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author:

Lu, Jincheng (Lu, Jincheng.) [1] | Li, Meijuan (Li, Meijuan.) [2] (Scholars:李美娟)

Indexed by:

EI PKU CSSCI CSCD

Abstract:

Due to the existing inverse data envelopment analysis (DEA) methods fail to address the problem of the optimization of resource allocation in the two-stage production structure containing undesirable outputs, this study proposes a new inverse DEA method with undesirable output within the two-stage production structure for analyzing the optimization of environment resource allocation. Then, a new inverse DEA method with frontier changes and undesirable output in two-stage production structure is further developed by relaxing the constraint of unchanged production frontier, which can be used to analyze the optimization of environment resource allocation in two-stage production structure for the future. These two proposed methods open the 'black box' of the complex internal structure in two-stage production structure and provide more comprehensive and accurate information, which are useful tools for resource allocation and formulation and planning of development goals. Finally, an empirical study relating to China's industrial two-stage system is given to verify the rationality and effectiveness of the methods in this study. © 2023 Systems Engineering Society of China. All rights reserved.

Keyword:

Data envelopment analysis Inverse problems Resource allocation

Community:

  • [ 1 ] [Lu, Jincheng]School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Li, Meijuan]School of Economics & Management, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Li, Meijuan]Technology Innovation Center for Monitoring and Restoration Engineering of Ecological Fragile Zone in Southeast China, Ministry of Natural Resources, Fuzhou; 350001, China

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Source :

System Engineering Theory and Practice

ISSN: 1000-6788

CN: 11-2267/N

Year: 2023

Issue: 10

Volume: 43

Page: 3007-3023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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