The adoption of green building in South Africa

Simpeh, E K (2018) The adoption of green building in South Africa. PhD thesis, Nelson Mandela University, South Africa.

Abstract

In South Africa there is pressure to deliver green building due to environmental issues such as climate changes, the energy crisis, as well as persistent water shortages. Although awareness and promotional effort have increased drastically concerning the adoption of green buildings, the South African design and construction industry is still lagging due to the conservativeness and slow rate of change in the construction industry. While enablers / facilitators have been recognised as opportunities to advance green building development, the South African built environment has not extensively explored the various possibilities to initiate enablers / facilitating conditions to enhance the adoption of green building. This study therefore investigates the critical factors impeding the adoption of green building and to explore the economic and non-economic facilitators / enablers regarded as the most important to stimulate stakeholders’ behavioural intentions to adopt green building. After an extensive review of literature with respect to barriers and factors that engender green building adoption, coupled with theoretical arguments relating change agents to construction innovation and sustainability theory, an exhaustive mixed-mode research approach was adopted. The sampling frame for the study was limited to four provinces, namely the Eastern Cape, Gauteng, Kwazulu–Natal, and Western Cape, given that 99% of the green building accredited professionals registered with the GBCSA are from these four provinces. The quantitative data was analysed using descriptive and inferential statistics, namely paired sample test, ANOVA test, Factor Analysis (FA), and logistic regression analysis (LRA). The qualitative data obtained across individual cases by means of a semi-structured interview was analysed using content analysis. In total, 106 professionals participated in the survey, and three respondents indicated their willingness and availability to be interviewed, hence three case studies were conducted. The results emanating from the study, inter-alia, indicate that the factors constraining the adoption of green building are categorised as: lack of information and incentives; inadequate skilled professionals; behavioural barriers; regulatory and steering factors, and the cost of green building. The results also indicate that green building consultants and environmental groups are classified as ‘innovators’, whilst architects are ‘early adopters’. However, government; municipalities, and general contractors are characterised as ‘late majority’. It was also evident from the empirical findings that the key attributes of adopters that encourage the adoption of green building were classified as: qualities of consultant team and contractor, and developers / clients’ experience. The perceived benefits of green buildings emanating from the findings were categorised as socio-economic, financial, and health and community benefits. The enablers that engender the adoption of green building were also categorised as: extended knowledge base and technical capacity; research and training of professionals; green lending incentives; progressive green building policy; economic incentives, and reward scheme and technical assistance. Two models have been developed using logistic regression model (LRM), model one (1) examined the predictable effect of economic and non-economic factors on the intention to adopt green building, whereas model two (2) examined the likelihood of the extent of green building adoption. The LRM results revealed five predictors and two control variables made a unique statistically significant contribution to model 1. The strongest predictor to enhance the intention to adopt green building was financial benefit (FB), recording an odds ratio of 9.1, which indicates that the likelihood to adopt is approximately 9.1 times more if financial benefits is evident. With respect to Model two (2), the LRM results showed that only two of the independent variables and three control variables contributed significantly to the mo el. The strongest predictor that determines the extent of adoption of green building was research and training of professionals (RTP), with odd ratio equal to 2.9. In effect, to engender the adoption of green building within the South African built environment, there is the need for an integrated and holistic approach forecasting on the importance of economic and non-economic enablers / facilitators in enhancing decision to adopt green building.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: built environment; sustainability; forecasting; government; innovation; policy; training; South Africa; content analysis; factor analysis; regression analysis; regression model; case study; interview; climate change; green building; architect; client; consultant; developer; professional; stakeholder
Index terms: general contractor, content analysis, water shortage, survey, economic incentive, environmental issue, key attribute, interview, knowledge base, agent, South Africa, climate change, municipality, construction innovation, green building, independent variable, critical factor, facilitator, regression model, logistic regression, case study, forecasting, economic factor, construction industry, statistics, regression analysis, logistic regression analysis, architect, design and construction, built environment, factor analysis, holistic approach, sampling
Subjects: environmental issues, practitioner, climate science, contractual arrangements, economic analysis, environmental resource management, Geography, economic concepts, building construction, risk assessment, profession, data collection methods, mathematical modelling, business, data analysis and analytics, prediction and forecasting, design practice, industry analysis, infrastructure and transport systems, administrative law, statistical analysis, information systems
Topics: Business Strategy, Research Practice, Roles and Professions, Digital Applications, Urban Studies, Design Practice, Engineering Principles, Geographical Context, Risk Management, Sustainability, Procurement, Legal Issues
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here