期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 16, 页码 20451-20475出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-11566-6
关键词
Climate change; Mitigation strategies; Cement; Fuzzy AHP; Fuzzy TOPSIS
资金
- Quality Improvement Program (QIP), Indian Institute of Technology (IIT) Roorkee, Roorkee [MIED 15920018]
Cement industry is facing pressure to reduce greenhouse gases emissions, with India - the second-largest producer and consumer of cement globally - facing challenges in implementing emission reduction measures. This study aims to identify and evaluate barriers and solutions to overcome these barriers in the context of India for climate change mitigation strategies adoption. The proposed three-phase methodology utilizing fuzzy AHP and Fuzzy TOPSIS provides an effective decision support tool for the Indian cement industry to build their green image in the market by eliminating and overcoming barriers to mitigation strategies adoption.
Cement is a basic requirement of today's society and is the only thing that humans consume more volume than water, but cement manufacturing is the most energy- and emission-intensive process. Hence, the cement industry is currently under pressure to reduce greenhouse gases (GHGs) emissions. Climate change mitigation strategies implemented in the industry leads to GHGs reduction, climate risks, pollutants, and another adverse impact on the environment. In order to implement climate change mitigation strategies in the cement industry, a careful analysis of barriers that hinder the emission reduction must be taken. However, most existing research on the barriers to mitigation measures is focused on developed countries. Among the most important emerging economies, India, the second-largest producer and consumer of cement, faces challenges to implement emission reduction measures. To bridge this gap, this paper identifies and evaluates the barriers and solutions to overcome these barriers in the context of India. This study employs a three-phase methodology based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify barriers and solutions to overcome these barriers to climate change mitigation strategies adoption in Indian cement industry. Fuzzy AHP is employed to prioritize these barriers, and to rank solutions of these barriers, Fuzzy TOPSIS is employed. Ten Indian cement manufacturing industry is taken to illustrate the proposed three-phase methodology. Finally, the result of the analysis offers an effective decision support tool to the Indian cement industry to eliminate and overcome barriers to mitigation strategies adoption and build their green image in the market.
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