4.7 Article

Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies

期刊

ENERGY POLICY
卷 118, 期 -, 页码 232-244

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2018.03.075

关键词

Carbon emissions reduction; Emission reduction strategy; Emission trading system (ETS); Low-carbon technology; Multi-objective optimization; Non-complying emissions

资金

  1. Singapore Ministry of Education [R-296-000-151-133]
  2. Key Project of National Social Science Foundation of China [15AZD025]

向作者/读者索取更多资源

Building sector is a significant contributor to the global warming and thus the control of carbon emissions from buildings has received unprecedented attention. While China is pioneering in including building sector in its Emission Trading System (ETS) pilots, there is few practical trading. This study investigates the reasons of lack trading via exploring a building owner's optimal strategy that is based on a multi-objective optimization model to achieve required carbon emissions reduction with minimal incremental costs. The investigated emissions reduction strategies include adopting low-carbon technologies, purchasing emission permits from ETS market, and non-compliance. A typical four-star hotel in Shenzhen, China is selected as an empirical case to validate the proposed model. The result shows that non-compliance is the preferable strategy by the owners, and there is no permits trading from the carbon market. Key influencing factors that affect the owners' strategic choice are further investigated with various scenarios and it is found that the probability of government environmental inspection, the penalty for non-compliance, and an owner's reputation loss will to a large extent change an owner's strategy. These findings provide a quantitative rationale for policymakers to reformulate existing initiatives and mechanisms to invigorate the ETS market in the building sector.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据