Clustering and regional growth in the housing market: Evidence from Indonesia
The housing market is one of the monetary policy instruments in macro-prudential terms. The overall policy adopted through the Loan-to-Value ratio does not accommodate different regional characteristics. Location and area characteristics are important factors that influence the development of housin...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universitas Merdeka Malang
2020-01-01
|
Series: | Jurnal Keuangan dan Perbankan |
Subjects: | |
Online Access: | http://jurnal.unmer.ac.id/index.php/jkdp/article/view/3565 |
id |
doaj-9b4a76bfd77245739b06d756455796fa |
---|---|
record_format |
Article |
spelling |
doaj-9b4a76bfd77245739b06d756455796fa2020-11-25T03:04:33ZengUniversitas Merdeka MalangJurnal Keuangan dan Perbankan1410-80892443-26872020-01-01241839410.26905/jkdp.v24i1.3565Clustering and regional growth in the housing market: Evidence from IndonesiaAriyanto Adhi Nugroho0Muhammad Yusuf Indra Purnama1Laela Rizki Fauzia2Department of Economics Development, Faculty of Economics and Business, Universitas Sebelas Maret Jl. Ir. Sutami No.36A Surakarta, 57126 IndonesiaDepartment of Economics Development, Faculty of Economics and Business, Universitas Sebelas Maret Jl. Ir. Sutami No.36A Surakarta, 57126 IndonesiaDepartment of Economics Development, Faculty of Economics and Business, Universitas Sebelas Maret Jl. Ir. Sutami No.36A Surakarta, 57126 IndonesiaThe housing market is one of the monetary policy instruments in macro-prudential terms. The overall policy adopted through the Loan-to-Value ratio does not accommodate different regional characteristics. Location and area characteristics are important factors that influence the development of housing property prices. This study uses panel data regression analysis, with objects of 15 cities in Indonesia during 2007-2017. The results of the analysis provide a proof that the building rent, population density, construction costs, Gross Regional Domestic Product, unemployment rate, and minimum income, affect housing prices differently in each growth category, while the LTV ratio and inflation do not have a significant effect onto house prices. The regional economic growth is used to form regional clustering based on the speed of house price growth so that monetary policy in the housing sector achieves the target.http://jurnal.unmer.ac.id/index.php/jkdp/article/view/3565clusteringhousing pricesregional growth |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ariyanto Adhi Nugroho Muhammad Yusuf Indra Purnama Laela Rizki Fauzia |
spellingShingle |
Ariyanto Adhi Nugroho Muhammad Yusuf Indra Purnama Laela Rizki Fauzia Clustering and regional growth in the housing market: Evidence from Indonesia Jurnal Keuangan dan Perbankan clustering housing prices regional growth |
author_facet |
Ariyanto Adhi Nugroho Muhammad Yusuf Indra Purnama Laela Rizki Fauzia |
author_sort |
Ariyanto Adhi Nugroho |
title |
Clustering and regional growth in the housing market: Evidence from Indonesia |
title_short |
Clustering and regional growth in the housing market: Evidence from Indonesia |
title_full |
Clustering and regional growth in the housing market: Evidence from Indonesia |
title_fullStr |
Clustering and regional growth in the housing market: Evidence from Indonesia |
title_full_unstemmed |
Clustering and regional growth in the housing market: Evidence from Indonesia |
title_sort |
clustering and regional growth in the housing market: evidence from indonesia |
publisher |
Universitas Merdeka Malang |
series |
Jurnal Keuangan dan Perbankan |
issn |
1410-8089 2443-2687 |
publishDate |
2020-01-01 |
description |
The housing market is one of the monetary policy instruments in macro-prudential terms. The overall policy adopted through the Loan-to-Value ratio does not accommodate different regional characteristics. Location and area characteristics are important factors that influence the development of housing property prices. This study uses panel data regression analysis, with objects of 15 cities in Indonesia during 2007-2017. The results of the analysis provide a proof that the building rent, population density, construction costs, Gross Regional Domestic Product, unemployment rate, and minimum income, affect housing prices differently in each growth category, while the LTV ratio and inflation do not have a significant effect onto house prices. The regional economic growth is used to form regional clustering based on the speed of house price growth so that monetary policy in the housing sector achieves the target. |
topic |
clustering housing prices regional growth |
url |
http://jurnal.unmer.ac.id/index.php/jkdp/article/view/3565 |
work_keys_str_mv |
AT ariyantoadhinugroho clusteringandregionalgrowthinthehousingmarketevidencefromindonesia AT muhammadyusufindrapurnama clusteringandregionalgrowthinthehousingmarketevidencefromindonesia AT laelarizkifauzia clusteringandregionalgrowthinthehousingmarketevidencefromindonesia |
_version_ |
1724681116359589888 |