SWOT Analysis for the Promotion of Energy Efficiency in Rural Buildings: A Case Study of China

Lin Zhang, Shan Guo, Zezhou Wu, Ahmed Alsaedi and Tasawar Hayat
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Lin Zhang: School of Management Engineering, Shandong Jianzhu University, 1000 Fengming Road, Licheng District, Jinan 250101, China
Shan Guo: Department of Land Management, School of Public Administration and Policy, Renmin University of China, Beijing 100872, China
Zezhou Wu: Department of Construction Management and Real Estate, Shenzhen University, Shenzhen 518060, China
Ahmed Alsaedi: NAAM Group, Faculty of Science, King Abdulaziz University, 21589 Jeddah, Saudi Arabia
Tasawar Hayat: NAAM Group, Faculty of Science, King Abdulaziz University, 21589 Jeddah, Saudi Arabia

Energies, 2018, vol. 11, issue 4, 1-17

Abstract: Over half of China’s total energy consumption is attributed to rural buildings. However, unlike the research into urban areas, few studies have explored the problems of building energy efficiency (BEE) in rural China. This study aims to establish an appropriate strategic plan for promoting rural BEE (RBEE) in China by conducting a strength-weakness-opportunity-threat (SWOT) analysis. Analysis data are obtained from multiple sources, including a comprehensive literature review, governmental reports, related regulations, and semi-structured interviews with a number of critical stakeholders. A matrix of the SWOT analysis is derived to reveal the drivers and barriers in the course of implementing RBEE. Five critical strategies are proposed. We also attempt to explore the internal and external conditions of RBEE in China, which can contribute to the customization and prioritization of policy recommendations for the Chinese government.

Keywords: SWOT analysis; building energy efficiency; rural area; strategic planning (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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