Search results

The purpose of this paper is to compare the different preferences between property practitioners and residential consumers on housing prices in the Jakarta Metropolitan Region.

The Jakarta Metropolitan Region as the largest metropolitan city in Indonesia was selected as the main sample city for this study. This study comprises 134 respondents from property practitioners and 277 respondents from residential consumers. Data were collected from all regions in Jakarta Metropolitan Region and their respective satellite cities. Descriptive analysis, the correlation study, Wilcoxon t-test and principal component analysis were used to compare the findings between each group’s preferences on housing attributes.

The results of this research provide an analysis on the different decisive attributes for each group, disparities on the correlation between attributes in housing consumers and property practitioners and disagreements among each group on the attribute preferences influencing housing prices in the Jakarta Metropolitan Region.

In conclusion, the study provides valid and dependable evidence on different consumers and property practitioners attribute preferences for housing products in the Jakarta Metropolitan Region.

This research is the first to compare the attribute preferences for housing products between housing consumers and property practitioners in Indonesia. In addition, this study is one of the first to reaffirm preference attributes influencing housing product prices in Indonesia.

This study aims to address the factors or attributes that would influence the price of residential products in Jakarta Metropolitan Region.

In total, 202 respondents from all across Jakarta Metropolitan Region participated in the questionnaire for this study. Demographic questions are categorized into age, gender and preferences for real estate locations. The questionnaire was made based on the author’s previous studies. Of the total respondents, 127 were males and 75 were females with age ranging from 18 to 56 years old. For data analysis, the authors utilized factor analysis, Cronbach’ α test and analysis of correlation to reach the conclusion of this study.

The findings suggested that from the initial three factors groups, there are five new groups that emerge as influencing factors for housing prices. Cronbach’ α score were verified (α = 0.906). Correlation study result suggested that the initial three factors groups produce a significant correlation between each of them, except for the factor of “overall location” and “located near family.” After factor analysis, the research results show that there are two new additional groups of factors that emerge as influences to housing prices. There are significant scores of differences between gender and real estate location preference toward the groups of factors.

This study shows how physical qualities, concept and location factors influence the housing price perception of their consumers. The result shows to be relatively reliable and valid.

The study is the first to analyze the relationship between the factors for preferences on residential products and housing price in Indonesia. This paper is also intended to be the first to pioneer the study on factors of preferences on residential products in Indonesia. The findings will be useful to develop pricing models for housing product in Indonesia.