Green and Sustainable Commercial Property Supply in Malaysia and Nigeria

Abstract

The aim of this study is to identify the predictive factors and variables that motivate decisions to supply sustainable or green commercial properties, and to apply discriminant analysis technique to assess if there are significant differences in perception between real estate developers in Malaysia and Nigeria based on the identified variables. The result revealed a significant discriminant function differentiating the two countries based on their perception of the variables. The motivational components and attributes were found to be in favor of Malaysia. The Wilks' lambda F‐test and the standardized discriminant function coefficients, showed that there were significant differences between developers in both countries as assessed by the life‐cycle cost motivations, green policies and certification, market strategy, developers expected rate of return, green tax incentive, and available green skills. However, the variables with the most predictive power in accounting for the differences were found to be within the measures of life‐cycle, cost‐saving motivations.

Economic Policy Uncertainty, Accounting Robustness and Commercial Credit Supply - A Big Data Analysis Based on Accounts Receivable

“…Onuoha et al used discriminant analysis to assess the perceived differences between Malaysian and Nigerian real estate developers. The researchers identified predictors of business incentive decisions, among others, which led to the establishment of a significant discriminant function for the perception of business decision variables [15]. Bebbington, J et al have provided innovative paths for social and environmental accounting by considering the de-centralization of accounting based on the goals achieved by the needs of sustainable development [16].…”