| Author: | Chen, Linyan |
| Title: | Evaluation models and driving mechanism of green building development : a spatial perspective |
| Advisors: | Chan, P. C. Albert (BRE) |
| Degree: | Ph.D. |
| Year: | 2023 |
| Subject: | Sustainable architecture -- China Architecture -- Environmental aspects -- China Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Building and Real Estate |
| Pages: | xxi, 226 pages : color illustrations |
| Language: | English |
| Abstract: | The increasing carbon emissions lead to severe climate issues of global warming, which has aroused public concerns in recent decades. The construction industry is one of the main contributors to carbon emissions. It is essential to apply sustainable innovations in the construction industry to tackle the climate challenge. As an innovative initiative to mitigate global warming, green buildings (GBs) perform well in energy-saving and carbon reduction, and they also provide a more comfortable living environment, which benefits residents' physical and mental health. Green building development (GBD) is on the agenda in many countries to alleviate climate change and reduce environmental pollution. In mainland China, along with the rapid increase of GBD, regional divergences of GBD are noticed and need to be assessed quantitatively. Meanwhile, the impact of geographical elements on critical success factors (CSFs) of GBD needs to be explored. This study aims to develop comprehensive evaluation models to measure GBD and further explore CSFs and the driving mechanism of GBD. To achieve the aim, this study has five research objectives: (1) To establish a GBD evaluation model from a macroeconomic perspective, and to investigate spatial patterns of GBD in mainland China; (2) to propose a GBD efficiency assessment model, and to explore spatial patterns of GBD efficiency in mainland China; (3) to develop a model for investigating the spatial correlations of GBD between different regions, and to explore the structure of the spatial correlation network in mainland China; (4) to identify CSFs of GBD, and to quantitatively analyze and compare the global CSFs and Chinese CSFs; (5) to clarify the driving mechanism of GBD, and to develop strategies for GBD improvement based on the research results. These objectives were achieved through different research methods, including systematic review, catastrophe progression model, data envelopment analysis, social network analysis, meta-analysis and questionnaire survey. First, this study developed evaluation models to examine GBD, GBD efficiency and spatial correlations of GBD. The empirical analysis was conducted through the provincial data from 2008 to 2020 in mainland China. The results demonstrate that these evaluation models are effective. GBD in mainland China shows a three-step pattern in geography. The southeastern coastal regions were better than the inland regions, followed by the western regions. GBD efficiency was not stable, and the distribution patterns of GBD efficiency were not similar to GBD except for Guangdong and Shanghai, which indicates that most of the regions ranked high in GBD did not perform well in energy saving and carbon reduction. The spatial correlations of GBD in mainland China were insufficient. Two core regions and multiple centers eventually emerged in the GBD correlation network. Moreover, this study identified CSFs of GBD through a systematic review, then analyzed global CSFs and Chinese CSFs through meta-analysis and questionnaire survey, respectively. Furthermore, CSFs of GBD in different regions were compared quantitatively. The results demonstrate that different regions have different preferences for CSFs of GBD. CSFs in the government and management categories rank high around the world. Chinese practitioners believe financial CSFs are the most effective factors in GBD. Besides, the northwest region in mainland China tends to improve GBD through research and innovations, while the northeast region chooses the culture, education and knowledge. In addition, the driving mechanism of GBD was explored based on the CSF analysis and stakeholder analysis. There are three bases in the mechanism: finance, labor and technology. Besides, the GB market and GB industry complement each other in GBD. The strategies for GBD improvement in mainland China are proposed, including improving the GB standard system, coordinating GBD and GBD efficiency, strengthening spatial correlations of GBD and solving the financial dilemma of GBD. This research contributes to the GB knowledge body by presenting the investigation into GBD evaluations from a macro perspective and the driving mechanism incorporating CSFs of GBD. The findings would enable researchers, policymakers and practitioners to develop effective policies and make strategies to enhance the widespread implementation of GBs. Although the empirical analysis was conducted in mainland China, the findings would be helpful to other countries worldwide, especially developing countries. |
| Rights: | All rights reserved |
| Access: | open access |
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