Theory of Planned Behavior Based Analysis of Public Buildings’ Intention to Participate in Emission Trading Scheme

Xiangnan Song (songxn@gzhu.edu.cn), Ruidong Chang, Zhi Sun and Shiju Liao
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Xiangnan Song: Guangzhou University
Ruidong Chang: University of Adelaide
Zhi Sun: Research Institute of Standards and Norms, Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD)
Shiju Liao: Chongqing University

A chapter in Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 1515-1532 from Springer

Abstract: Abstract As a market-based, cost-effective, and international compatible mechanism, Emission Trading Scheme (ETS) has emerged as an increasingly popular and important policy tool to control and mitigate carbon emissions. It has been applied in many energy-intensive industries such as electric, power, and steel industry. However, it appears that carbon trading practice finds limited application in building sector. This study presents an identification and analysis on the fundamental reasons hindering the public buildings’ intention to participate in Emission Trading System by utilizing the binary logit model based on the theory planned behavior. Research data are collected through questionnaire survey in Guangdong Province which is the first carbon trading pilot which extends its coverage to building sector. As a result, five causes have been identified, and discussions on their importance order have been conducted. The findings provide essential information to relevant decision-makers for identifying the focal areas and taking due actions to further promote the effective operation of ETS in China.

Keywords: Emission trading system (ETS); Building sector; Binary logit model; Behavioral intention (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-8892-1_106

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DOI: 10.1007/978-981-15-8892-1_106

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