住房价格的决定因素:马来西亚东海岸的证据

S. H. Zulkarnain, A. S. Nawi, M. A. Esquivias, Anuar Husin
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引用次数: 0

摘要

目的本研究旨在实现马来西亚企业管理中涉及经济问题和情景的学习过程。此外,本研究还将通过使用微观经济学和宏观经济学的概念和理论来帮助商业环境中的决策,从而提供管理技能整合的机会。研究方法包括文献综述的定性方法、案例研究和多元线性回归(MLR)的定量方法。在本案例中,考虑了七个被认为会显著影响房价指数(HPI)的微观和宏观经济因素,包括国内生产总值、消费价格指数(CPI)、政府对住房的税收和补贴、隔夜政策利率、失业率(UNEMP)、收入中位数(INC)和生产成本指数。原创性/价值 马来西亚近年来一直面临着房屋市场停滞不前的问题,原因是大量供应过剩,影响了马来西亚的经济,特别是国内直接投资。为避免供过于求的问题,相关机构应了解未来房屋需求和价格预测的重要性,以便更有效地规划房屋开发行业。为了产生更好、更大的影响,本研究旨在分析影响住房价格指数的微观经济和宏观经济因素,以更好地了解这些因素对住房价格指数变化的重要性,从而解决这些经济问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of housing prices: evidence from East Coast Malaysia
Purpose The purpose of this study is designed to achieve the learning process in producing studies involving economic issues and scenarios in business management in Malaysia. In addition, this study will provide exposure to the integration of managerial skills by using both microeconomics and macroeconomics concepts and theories to aid decision-making in a business environment. Design/methodology/approach The research method comprised qualitative methodology of literature review, case study and quantitative methodology of multiple linear regression (MLR). In this case, seven microeconomics and macroeconomics factors which are believed to significantly affect house price index (HPI) are taken into consideration which includes gross domestic product, consumer price index (CPI), government tax and subsidy on housing, overnight policy rate, unemployment rate (UNEMP), the median income (INC) and cost of production index. Findings This research has resulted in three significant factors affecting HPI from MLR, which include CPI, UNEMP and INC where the increase of these factors will cause a high increment of HPI. The other four factors are not significant. Originality/value Malaysia has been facing the stagnancy in house market these recent years due to issues such as massive oversupply, impacting Malaysia’s economy specifically focusing on domestic direct investment. To avoid oversupply issues, the vitality of future house demand and pricing forecast should be comprehended by involved bodies for more effective planning for the house development industry. To make a better and bigger impact, this research is intended to analyse the microeconomic and macroeconomic factors affecting the HPI to better understand the significance of each of these factors to the changes of HPI to resolve these economic issues.
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