Int. J. of Wireless and Mobile Computing   »   2017 Vol.12, No.4

 

 

Title: Research on benefit evaluation of governmental incentive policies

 

Authors: Bing Wang; Yulian Fei; Guanglan Zhou; Qingfeng Li; Yuxia Jia

 

Addresses:
Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 310018, China
School of Management Engineering & E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, China
Contemporary Business and Trade Research Centre, School of Statistics, Zhejiang Gongshang University, Hangzhou 310018, China
School of Management Engineering & E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, China
School of Management Engineering & E-Commerce, Zhejiang Gongshang University, Hangzhou 310018, China

 

Abstract: Towards the benefit evaluation problem of government incentive policies in the green supply chain, combined with the government stimulation measurements, this paper constructs a more improved evaluation index system from qualitative and quantitative aspects. Meanwhile, it established the green benefit evaluation model of government incentives in the supply chain based on the cross-evaluation of data envelopment analysis method and fuzzy comprehensive evaluation theory. According to the expert opinions and questionnaire survey on the characteristics of industry development in Zhejiang province, China, moreover, this paper makes an empirical analysis on the sample enterprises and concludes a reasonable evaluation result. The result indicates that the government incentive policy would be more effective under the constraint of the limited resources, which concentrates on the resource allocation optimisation of government incentive policies in green supply chain.

 

Keywords: green supply chain; governmental incentive policy; benefit evaluation; cross-evaluation; fuzzy comprehensive evaluation.

 

DOI: 10.1504/IJWMC.2017.10006554

 

Int. J. of Wireless and Mobile Computing, 2017 Vol.12, No.4, pp.384 - 393

 

Submission date: 26 Jul 2016
Date of acceptance: 07 Feb 2017
Available online: 25 Jul 2017

 

 

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