Abstract
The purpose of the study is to predict the intention and behavior towards environmentally friendly businesses (EFB) among low-income families in rural Peninsular Malaysia within the framework of the theory of planned behavior (TPB). Data were collected from 420 low-income household heads through structured interviews. The results reveal a significant impact of environmental concern (EC) and eco-literacy (EL) on the attitude towards the environment (ATE); normative belief (NB) and motivation (MO) on subjective norms (SUN); and skills and knowledge (SK) on perceived behavioral control (PBC). Additionally, there was a positive and statistically significant effect of ATE, SUN, and PBC on the intention towards environmentally friendly business (ITEFB) and the ITEFB on environmentally friendly business adoption behavior (EFBAB). This study provides empirical evidence with a proposed research model to address the environmental issues through improving the socioeconomic condition of low-earner families. The Malaysian government and relevant agencies should focus on improving EL, EC, MO towards EFB, and the SK regarding EFB among the low-income households.
Funder
Ministry of Higher Education, Malaysia
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Reference83 articles.
1. Is inequality in Malaysia really going down? FEA Working Paper 2014/09,
Faculty of Economics Administration, University of Malayahttps://pdfs.semanticscholar.org/6928/a163aed1842eeb4cceaf42c1e3d441e5ecf6.pdf?_ga=2.164749503.1007459143.1599299997-336864463.1595552818
2. Poverty Lines Based on Fuzzy Sets Theory and its Application to Malaysian Data
3. Sources of Income Growth and Inequality Across Ethnic Groups in Malaysia, 1970–2000
4. A Framework for Green Growth and Socio-Economic Development in Malaysia
5. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Changehttps://www.ipcc.ch/site/assets/uploads/2018/03/ar4-wg2-intro.pdf