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4.2 Dimension reduction Table 1. Respondents background information

Table 1 4.2 Dimension reduction Table 1. Respondents background information

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Factors Influencing the Cost Performance of Zero-Carbon Technologies Applied in Buildings Inferences from the above literature led to the development of the conceptual framework of factors influencing the cost performance of PTAB in the Nigeria building sector (Figure 1). Figure 1 depicts three perceived critical dimensions to the influences on cost performance of PTAB namely: technical, economic, and system factors. The three dimensions are however, interrelated and in addition, suggesting their influences intervolve. The variables in Figure | formed the crux of field survey with narration in the following sections.
Factors Influencing the Cost Performance of Zero-Carbon Technologies Applied in Buildings Inferences from the above literature led to the development of the conceptual framework of factors influencing the cost performance of PTAB in the Nigeria building sector (Figure 1). Figure 1 depicts three perceived critical dimensions to the influences on cost performance of PTAB namely: technical, economic, and system factors. The three dimensions are however, interrelated and in addition, suggesting their influences intervolve. The variables in Figure | formed the crux of field survey with narration in the following sections.
Ext = communality score; significant factor > 65 percent or 0.65. Table 2.Communalities test
Ext = communality score; significant factor > 65 percent or 0.65. Table 2.Communalities test
Table 3. Total variance explained The factor rotation conducted to suppress loadings less than 0.40 generated seven principal cost drivers, using oblique rotation. Seven factors are therefore loaded unto the component matrix (Table 4), and a scan through the various factors loading indicates the most significant loading in component one has the score 0.738 and this relates to dearth of trained installers and scarcity of local competencies. The study therefore selected the framing ‘dearth of local competencies’ for the first component. Under the second factor, the most significant loading has the value 0.764 and this relates to low level of technologies and the frame ‘lack of accessible technologies and know-how’ is selected for this component. The most significant cost driver under the third component relates tc short life span of components (0.820). The framing ‘design life of components and technologies’ is selected fot the third component. The fourth component relates to ‘whole life cycle cost (0.893), and the frame high cost of maintenance and replacement of components’ is adopted for the fourth component. The fifth component deals with economic risks (0.872) hence, the frame ‘inflation and cost escalation’ is adequate for the fifth component The sixth component relates to marketing, promotional and project management costs (0.754); the frame for this factor is ‘customer acquisition’. The seventh factor relates to hardware (0.921); and the frame hardware bes: suits the seventh component.
Table 3. Total variance explained The factor rotation conducted to suppress loadings less than 0.40 generated seven principal cost drivers, using oblique rotation. Seven factors are therefore loaded unto the component matrix (Table 4), and a scan through the various factors loading indicates the most significant loading in component one has the score 0.738 and this relates to dearth of trained installers and scarcity of local competencies. The study therefore selected the framing ‘dearth of local competencies’ for the first component. Under the second factor, the most significant loading has the value 0.764 and this relates to low level of technologies and the frame ‘lack of accessible technologies and know-how’ is selected for this component. The most significant cost driver under the third component relates tc short life span of components (0.820). The framing ‘design life of components and technologies’ is selected fot the third component. The fourth component relates to ‘whole life cycle cost (0.893), and the frame high cost of maintenance and replacement of components’ is adopted for the fourth component. The fifth component deals with economic risks (0.872) hence, the frame ‘inflation and cost escalation’ is adequate for the fifth component The sixth component relates to marketing, promotional and project management costs (0.754); the frame for this factor is ‘customer acquisition’. The seventh factor relates to hardware (0.921); and the frame hardware bes: suits the seventh component.
Table 4. Rotated principal component matrix 5. Discussions
Table 4. Rotated principal component matrix 5. Discussions
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