Purpose This paper is motivated by a concern about the ability of the average Malaysian income to catch up with the rapidly increasing house prices in Peninsular Malaysia. Financial innovation in financial system now regards houses as a financial asset and speculation vehicle. Therefore, a house purchase is made to acquire not merely a necessity but also a financial asset which can generate future returns. Given the problems in the housing market, this paper aims to examine the determinants of house prices in Malaysia, including those such as income, population, foreign inflow and speculation. Design/methodology/approach This study adopts panel data analyses, namely, the fixed effect model (FEM) and the pooled mean group (PMG), and uses data at state level in quarterly frequency, spanning from 2005Q1 to 2013Q4. Findings Based on the results of FEM, these determinants influence house prices significantly. Moreover, the PMG results suggest that there is convergence in the model, which are indicated by the significant and negative sign of the error correction term. In conclusion, the rapidly increasing house price is not caused by speculation activities in the housing market. More precisely, Malaysian income is capable of catching up with the increasing house prices. Practical implications As income remains to be one of the major drivers in influencing Malaysian house price, Malaysian Government shall continue the policies of supply low cost houses to the low-income groups and My First Home Scheme (SRP) by offering less stringent rules in applying house loan for the first-time house buyers. Originality/value This study used the actual data of foreign housing purchase obtained from Malaysia Valuation and Property Services Department to represent foreign inflow; therefore, the results will reflect the impact of foreign inflow in a better manner.
Under the sustainability domain, food waste is a significant global challenge receiving growing attention. The management of household food waste which relies heavily on landfilling, is predominantly ineffective and unsustainable. To implement sustainable food waste management, an understanding of the individual behaviour is needed since psychological effects often undermine technological solutions. This study direct its investigation on urban households’ sustainable food waste management behaviour by extending the Theory of Planned Behaviour. An online survey was utilized for data collection. Using Partial Least Squares Structural Equation Modelling, assessments were made on the determinants of intention and behaviour of 520 households in the Klang Valley. The analysis support two factors that influence attitude positively, while five factors positively influence intention to implement best practices of reusing leftovers, separating household waste, and doing home composting. However, although the households have positive intentions, yet their composting practices seem to be the least adopted compared to the other sustainable elements. Addressing the lack of participation requires a holistic approach via dissemination of educational materials, social media coverage, and awareness campaigns. It is also suggested that composting be incentivized and be included in reward schemes similar to recycling. This study paves the way to enhance understanding of the factors to adopt sustainable food waste management among households in the urban areas. The findings provide insights for policy makers and other stakeholders on what type of information to consider when designing effective food waste management campaigns and urban development strategies, supporting the opportunity for consumer behavioural change.
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