| 书目名称 | Economic Analysis of Housing Policy in Japan |
| 副标题 | Policy Concerning Ho |
| 编辑 | Keiko Nosse Hirono |
| 视频video | |
| 概述 | Is the first book to propose housing policy for improvement of the quality of housing.Demonstrates a method to calculate the real theoretical prices of houses.Provides the way to increase barrier-free |
| 丛书名称 | New Frontiers in Regional Science: Asian Perspectives |
| 图书封面 |  |
| 描述 | This book analyzes housing policy in terms of the quality of housing, theoretically and empirically. The analysis is prompted by the Japanese government’s success in increasing the volume of housing through interest rate policy, as is shown by Vector Autoregession (VAR) analysis in this book; consequently, the focus of housing policy in Japan is now the quality of housing. This is the first book to analyze and propose housing monetary policy and housing subsidy policy to improve the quality of housing, which increase the number of houses that are barrier-free and earthquake resistant. This book is also the first to focus on appropriate valuation of housing using hedonic price function and the quality of houses. Using the method of valuation developed and proposed in this book, market clearing prices of houses can be calculated without analytical and theoretical error. Toward this end, the disclosure of information – the offer prices and attributes – of houses is proposed as a housing policy. In addition, in this research the author has developed a method to estimate the hedonic price index and rent index using the quality of houses for the first time in Japan. With hedonic price an |
| 出版日期 | Book 2022 |
| 关键词 | Housing Policy; Valuation of Housing; Hedonic Price Function; Quality of Housing; Efficiency of Housing |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-4925-8 |
| isbn_softcover | 978-981-19-4927-2 |
| isbn_ebook | 978-981-19-4925-8Series ISSN 2199-5974 Series E-ISSN 2199-5982 |
| issn_series | 2199-5974 |
| copyright | Springer Nature Singapore Pte Ltd. 2022 |
发表于 2025-3-21 18:46:04
