4.7 Article

Barriers to the adoption of energy-saving technologies in the building sector: A survey study of Jing-jin-tang, China

期刊

ENERGY POLICY
卷 75, 期 -, 页码 206-216

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2014.09.025

关键词

Barrier; Building sector; Energy-saving technology; Factor analysis; Survey study

资金

  1. National Natural Science Foundation of China [71003072, 71373172]
  2. National Development and Reform Commission [2012023]
  3. Ministry of Housing and Urban-rural Development of China [11-R1-338]
  4. Tianjin Urban-Rural Construction and Transport Commission
  5. China State Construction Engineering Corporation

向作者/读者索取更多资源

The building sector of China currently consumes 20% of the total energy consumption. Studies on barriers to the adoption of building energy-saving technologies are of great significance on implementing policies related to achieving energy-saving goals. This paper studied 15 barriers with the aid of information collected through questionnaires and semi-structured interviews. The respondents were 135 employees working in the Jing-jin-tang area. Based on the results of the factor analysis, the barriers were categorized into five groups: attitudes of stakeholders, policies and regulations, auxiliary resources, profitability, and adaptability of the technologies. Analysis of the entire sample showed that the stakeholders' reluctance to use was the largest barrier, followed by high initial investment and low profitability. Further analysis showed that the occupation and designation of the respondents and the size of the enterprises that they served influenced their perspectives on the barriers. It was found that architects attributed more importance to the adoption of energy-saving technologies than contractors; barriers confronted by employees of large enterprises and small enterprises were different; managers perceived weaker barriers than frontline employees and were more optimistic about the prospect of building energy-saving technologies. Finally, policy recommendations were proposed based on these in-depth and targeted analyses. (C) 2014 Elsevier Ltd. All rights reserved.

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