published_or_final_version / Housing Management / Master / Master of Housing Management

published_or_final_version / Urban Design / Master / Master of Urban Design

published_or_final_version / abstract / toc / Real Estate and Construction / Doctoral / Doctor of Philosophy

published_or_final_version / abstract / toc / Real Estate and Construction / Master / Master of Science in Real Estate and Construction

published_or_final_version / Real Estate and Construction / Doctoral / Doctor of Philosophy

Chan Yin-Sze. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 37-41). / Abstracts in English and Chinese. / Chapter 1. --- Background Introduction --- p.P. 1 / Chapter 2. --- Literature Review --- p.P. 3 / Chapter 3. --- Methodology --- p.P. 8 / Chapter 4. --- Data Description --- p.P. 10 / Chapter 5. --- Empirical Results --- p.P. 20 / Chapter A. --- Simple Linear Regression Model / Chapter B. --- Robustness / Chapter C. --- "Regression by running Physical, Location & Macroeconomic Factor Separately" / Chapter 6. --- Comparison with the Previous Literatures --- p.P. 34 / Chapter 7. --- Conclusion --- p.P. 36 / Chapter 8. --- Reference --- p.P. 37 / Chapter 9. --- Tables & Figures --- p.P. 42 / Chapter 10. --- Appendix --- p.P. 65

經歷十三年風雨，香港樓價再創歷史新高。有云：「禍兮福所倚」，業主得益於財富增長的同時，亦擔心高速增長埋下泡沫爆破的伏線。因樓價高企，年青人置業困難，社會不滿亦日漸升溫。 / 在國際貨幣基金組織出言警告後，香港金融管理局連同財政司相繼推出措施如額外印花稅，以及收緊不同物業種類的按揭上限，希望保持樓市健康及穩定發展。一石激起千重浪，政策推出後輿論不絶，但至今仍未有人以嚴謹的邏輯推論分析新政策的影響。本文以Stein (1995)的模型作藍本，稍作修改，以分析新政對樓價的影響。 / 按照文中模型計算，於當前經濟環境下，新措施確能維持樓市健康及穩定發展。額外印花稅能壓抑樓價時，收緊不同物業種類的按揭上限能保持樓價平穩。理論模型同時指出，兩樣政策都不是萬能丹，政府於調控樓市時應先評估當前經濟基礎，否則有機會事與願違。 / House price in Hong Kong is reaching its historical high. People start to worry a sudden drop of house price as what they had experienced in year 1997. Social disputes emerged and the Hong Kong government has taken several measures in reaction. Policies such as the Multi-down payment constraint by the HKMA and special stamp duty by the Financial Secretary are implemented in response to the soaring house price. The Media and the general public are keen to explore the effects and the consequences of the policies. However, little effort has been done to study the impact of the enacted policy in a systematic way. / This thesis augmented the model developed by Stein (1995) to examine the housing price behavior of Hong Kong. Simulation results justified the government’s policies. SSD helps to lower the house price while multi-down payment policy helps to stabilize the house price. However, for the policies to be effective, the government needs to spend a lot of efforts to examine the underlying economic fundamentals to avoid unintended results. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Wong, Long Ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 53-54). / Abstracts also in Chinese. / Abstract --- p.i / 擇要 --- p.ii / Acknowledgement --- p.iii / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- Hong Kong’s Post-Tsunami Economic Background --- p.4 / Chapter 3. --- Characteristics of the Hong Kong Residential Property Market --- p.7 / Chapter 3.1. --- Price and Transactions --- p.8 / Chapter 3.2. --- Market Structure --- p.10 / Chapter 3.3. --- Mortgage Financing --- p.11 / Chapter 4. --- Policies Launched --- p.11 / Chapter 4.1. --- Increasing supply --- p.12 / Chapter 4.2. --- Combating speculation --- p.12 / Chapter 4.3. --- Preventing excessive expansion in mortgage lending --- p.13 / Chapter 4.1. --- To enhance the transparency in the market --- p.13 / Chapter 5. --- Literature Review --- p.14 / Chapter 6. --- Choice of Model --- p.17 / Chapter 7. --- The Stein’s Benchmark Case --- p.19 / Chapter 7.1. --- General Form --- p.20 / Chapter 7.2. --- The Log Linear Form Utility --- p.22 / Chapter 8. --- The SSD Case --- p.23 / Chapter 8.1. --- General Form --- p.23 / Chapter 9. --- The Multi-Down Payment Case --- p.25 / Chapter 9.1. --- General Form --- p.25 / Chapter 9.2. --- The Stone-Geary Form log Utility --- p.29 / Chapter 9.3. --- The CES Utility --- p.29 / Chapter 10. --- Simulation and Results --- p.30 / Chapter 10.1. --- Choosing the parameter --- p.30 / Chapter 10.2. --- Results using Log Linear Utility --- p.32 / Chapter 10.2.1. --- Changing the SSD --- p.32 / Chapter 10.2.1. --- Changing the down payment requirement γ --- p.33 / Chapter 10.2.3. --- Changing the threshold in multi-down payment case --- p.35 / Chapter 10.2.4. --- Changing ý --- p.36 / Chapter 10.2.1. --- Changing the fundamental --- p.37 / Chapter 10.3. --- Results using Stone-Geary form Utility --- p.38 / Chapter 10.3.1. --- Changing the degree of necessity --- p.38 / Chapter 10.3.2. --- Changing SSD --- p.39 / Chapter 10.3.3. --- Changing the down payment portion γ --- p.39 / Chapter 10.3.4. --- Changing the down payment portion ý --- p.40 / Chapter 10.3.5. --- Changing the fundamental --- p.41 / Chapter 10.4. --- Results using CES form Utility --- p.41 / Chapter 10.4.1. --- Changing the elasticity of substitution by --- p.42 / Chapter 10.4.2. --- Changing SSD --- p.42 / Chapter 10.4.3. --- Changing the down payment portion --- p.43 / Chapter 10.4.4. --- Changing the down payment portion --- p.44 / Chapter 10.4.5. --- Changing the fundamental --- p.45 / Chapter 10.5. --- Summary of the results and policy implications --- p.45 / Chapter 11. --- Conclusion --- p.48 / Chapter 12. --- Tables and Charts --- p.49 / Chapter 13. --- References --- p.53 / Chapter 14. --- Appendix --- p.54

It is widely accepted that land supply plays an important role in restricting housing supply and adjusting housing price level. This study aims to explore the dynamic relationship and causality between land supply and housing price with the cases of Hong Kong and Guangzhou, which are two close relative Chinese cities under the framework of ‘One country, two systems’. This study employs the vector auto-regression (VAR), Vector Error Correction Model (VECM) and Granger Causality test to disentangle the complicated relationship, long-run and short-run, between land supply and housing price. Besides, the dynamic analysis of VAR and VECM are conducted using innovation accounting methods such as impulse response function (IRF) and variance decomposition (VDC). The empirical results show that the land supply and housing price are co-integrated in Hong Kong during the sample period between 2001 and 2011, and a long-run unilateral causality is confirmed from housing price to land supply for Hong Kong. Regarding Guangzhou, although there is no co-integration between land supply and housing price during 2001 and 2011, Granger causality from land supply to housing price shows a time lag of 10 quarters. These findings imply the relative efficient market economy in the Hong Kong housing market compared to Guangzhou, which is also consistent with the differences in land leasing systems and housing markets in Hong Kong and Guangzhou. This study not only sheds light on the discrepancies of land leasing systems and housing market mechanism between capitalism and socialism, but also provides implications for policy makers in formulating strategy to improve housing affordability. / published_or_final_version / Real Estate and Construction / Master / Master of Philosophy

Tam Chun Yu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 141-147). / Abstracts in English and Chinese. / Abstract --- p.I / Acknowledgements --- p.III / Table of Contents --- p.IV / List of Tables --- p.V / List of Figures --- p.VI / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Literature Review --- p.5 / Chapter 2.1 --- Real Estate Literature --- p.5 / Chapter 2.2 --- Financial Literature --- p.6 / Chapter 2.3 --- Impulse Response --- p.10 / Chapter Chapter 3. --- Methodology --- p.12 / Chapter 3.1 --- Augmented Dickey Fuller Test --- p.12 / Chapter 3.2 --- GARCH Model --- p.14 / Chapter 3.3 --- VAR Model --- p.16 / Chapter Chapter 4. --- Data Description --- p.18 / Chapter Chapter 5. --- Empirical Results --- p.20 / Chapter 5.1 --- Overview for the Data Set --- p.21 / Chapter 5.2 --- ADF Test --- p.22 / Chapter 5.3 --- GARCH Model --- p.22 / Chapter 5.4 --- VAR Model --- p.24 / Chapter 5.5 --- Impulse Response (IR) --- p.34 / Chapter Chapter 6. --- Conclusion --- p.38 / Appendix 1. Variable Definition --- p.41 / Appendix 2. Tables --- p.44 / Appendix 3. Figures --- p.61 / Appendix 4. Comparison of IR for different model in full sample case --- p.93 / Appendix 5. Comparison of IR for different model in first sub period --- p.109 / Appendix 6. Comparison of IR for different model in second sub period --- p.125 / Bibliography --- p.141

by Siu Wai-Fun. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 55-57). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iv / LIST OF ILLUSTRATIONS --- p.vi / LIST OF TABLES --- p.vii / ACKNOWLEDGEMENT --- p.viii / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- THE SOURCES OF HOUSING DEMAND --- p.4 / Demographic Demand --- p.4 / Keen Desire for Home Ownership --- p.5 / Investment Demand --- p.6 / Speculative Demand --- p.8 / Chapter III. --- THE SYSTEM OF HOUSING SUPPLY --- p.10 / Framework for Land Supply and Housing Production --- p.10 / New Land Disposal --- p.11 / Redevelopment of Existing Properties --- p.12 / Constraints on Land Supply for Residential Development --- p.12 / Production of Private Domestic Units --- p.13 / Chapter IV. --- CHANGES IN HOUSING PRICES --- p.15 / Housing Price Fluctuations --- p.16 / Affordability of Housing --- p.18 / Ownership Affordability --- p.19 / Rental Affordability --- p.20 / Chapter V. --- MODELLING HOUSING PRICES --- p.21 / Factors Affecting Price Movements --- p.21 / Demand Side Factors --- p.21 / Supply Side Factors --- p.23 / The Findings --- p.25 / Chapter VI. --- IMPLICATIONS TO GOVERNMENT'S HOUSING POLICIES --- p.27 / Implications from Housing Price Model --- p.27 / Government's Actions to Stabilise Housing Prices --- p.28 / Role of Speculators --- p.29 / Chapter VII. --- CONCLUSIONS AND POLICY CONSIDERATIONS --- p.30 / BIBLIOGRAPHY --- p.55