کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1744080 1522122 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Interpretive Structural Modeling based factor analysis on the implementation of Emission Trading System in the Chinese building sector
ترجمه فارسی عنوان
تجزیه و تحلیل فاکتور مبتنی بر مدل سازی تفسیری در پیاده سازی سیستم معاملاتی انتشار در بخش ساختمان چینی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی


• The paper identifies 15 representative factors affecting ETS in building sector.
• The interactive relationships between factors are examined by using ISM method.
• The factors are classified into four categories by applying MICMAC technique.
• Factor influence is profiled from perspectives of driving and dependence role.

The Emission Trading System has been promoted as a tool for providing financial and cost-effective incentives to carbon emitters to apply emission reduction measures. The mechanism of Emission Trading System has been applied in many energy-intensive industries such as electric power industry. However, it appears that Emission Trading System finds limited application in building sector due to the unique characteristics of buildings. This study presents an identification and analysis on the factors affecting the implementation of Emission Trading System in the building sector within the context of China. Research data are collected from semi-structured interviews with a group of carefully selected experts. As a result, fifteen representative factors have been identified, and discussions on their representativeness have been conducted. The intricate interrelationships between the identified factors have been examined based on a hierarchy structure established by using the Interpretive Structural Modeling method. Furthermore, these factors have been classified into four categories: autonomous factors, dependent factors, linkage factors, and driving factors, which is based on the calculation of the factors' driving/dependence power by applying the Matrice d’Impacts croises-multipication appliqué a classement (MICMAC) technique. This classification provides a different profile between individual factors from that by traditional study where the relative importance is generally given between factors. The findings on these factors provide valuable references for helping policy designers and practitioners adopt effective policies and measures to promote the development of ETS in the Chinese building sector.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 127, 20 July 2016, Pages 214–227
نویسندگان
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