Exploring policy governance factors using stepwise multiple regression analysis: a case study of solid waste management policy in Malaysia
by Muhamad Azahar Abas; Seow Ta Wee
International Journal of Public Sector Performance Management (IJPSPM), Vol. 6, No. 6, 2020

Abstract: This study was designed to explore the perception of stakeholders on solid waste policy governance in Malaysia. A total of 500 respondents were selected through random stratified sampling. The data of this study were collected via questionnaire distribution and were analysed by applying descriptive statistical analysis (mean, standard deviation and percentage) and inferential statistical analysis (t-test, correlation and stepwise multiple regression). The results of the study show that the perception of respondents on governance factors was varied, depending on the socio-demographic attributes of the respondents. Bivariate analysis reveals that all the policy governance factors are strong and positively connected to good governance elements practiced in solid waste policy implementation. However, multi regression model shows only three policy governance factors, namely resources management, policy implementation system and staff's competency significantly influence good governance practice of the stakeholders.

Online publication date: Wed, 04-Nov-2020

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