Next Article in Journal
Monte Carlo vs. Fuzzy Monte Carlo Simulation for Uncertainty and Global Sensitivity Analysis
Next Article in Special Issue
A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises
Previous Article in Journal
Quantitative Analysis on the Energy and Environmental Impact of the Korean National Energy R&D Roadmap a Using Bottom-Up Energy System Model
Previous Article in Special Issue
Environmentally Friendly Supplier Selection Using Prospect Theory
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(4), 540; doi:10.3390/su9040540

Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP)

Business School, Nankai University, Tianjin 300071, China
*
Author to whom correspondence should be addressed.
Received: 21 December 2016 / Revised: 28 March 2017 / Accepted: 28 March 2017 / Published: 31 March 2017
(This article belongs to the Special Issue Sustainability and Application of Green Production)
View Full-Text   |   Download PDF [1257 KB, uploaded 5 April 2017]   |  

Abstract

The establishment of an efficient reverse supply chain is important, especially in the electronics industry, considering the environmental and resource pressures worldwide. Extended Producer Responsibility (EPR), an important environmental policy approach, has been adopted extensively in various countries, and the effectiveness of its implementation has been proven through practical application. However, the establishment and development of EPR are lacking in most developing countries where collection and recycling systems are underdeveloped. This study addresses this problem by exploring the hierarchical relationship among the driving factors of EPR in the electronics industry in China and by identifying and ranking the factors that are critical in EPR implementation. As important managerial conclusions, research results show that EPR-related laws and regulations, the consciousness of senior executives, and corporate image are the three most important driving factors of EPR implementation. View Full-Text
Keywords: Extended Producer Responsibility; driving factors; Interpretative Structure Modelling; Analytic Network Process Extended Producer Responsibility; driving factors; Interpretative Structure Modelling; Analytic Network Process
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zheng, X.; Xu, F.; Feng, L. Analysis of Driving Factors for Extended Producer Responsibility by Using Interpretative Structure Modelling (ISM) and Analytic Network Process (ANP). Sustainability 2017, 9, 540.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top