Recent studies of the valuation of real estate have concentrated on the use of hedonic pricing techniques in which the implicit prices of the component characteristics of an asset are inferred from the observed sale price using regression analysis. All of these studies include as explanatory variables one or more locational factors, such as distance to the central business district, as proxies for the effect that location has on the utility of land. In this research, the explicit consideration of the location of real estate in terms of the geographic or Cartesian coordinates (spatial attributes) of observed sales is shown to be a potential substitute for such proxies, either wholly or in part. Such use of spatial attributes could improve the usefulness of the hedonic methodology while at the same time significantly reducing cost and eliminating sources of error.

published_or_final_version / Architecture / Master / Master of Philosophy

Wong Chun-sing, Wong Tsz-kin. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 65-66). / ACKNOWLEDGEMENT --- p.iii / ABSTRACT --- p.iv / TABLE OF CONTENTS --- p.v / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Chapter II. --- LITERATURE REVIEW --- p.4 / Chapter III. --- METHODOLOGY --- p.7 / Demand side variables --- p.8 / Demographic factors --- p.8 / Economic factors --- p.9 / Governmental factors --- p.10 / Supply side variables --- p.11 / Chapter IV. --- ROLE OF HONG KONG IN CHINA AFTER1997 --- p.13 / Chapter V. --- DEMAND SIDE FACTORS --- p.15 / Population --- p.15 / Population Growth --- p.15 / Change in Population Structure --- p.17 / Migration --- p.19 / Income and Affordability --- p.22 / Inflation --- p.25 / "Inflation, Interest rate and Pegged rate system" --- p.25 / Relationship between anticipated inflation and property price --- p.25 / Major causes of inflation in Hong Kong --- p.26 / Major causes of inflation in China --- p.27 / Future Trend of Inflation in Hong Kong --- p.31 / Interest Rate and Pegged Rate System --- p.31 / Interest Rate --- p.31 / Pegged Rate System --- p.31 / Chapter VI. --- SUPPLY SIDE FACTORS --- p.34 / Housing Supply --- p.34 / Chapter VII. --- QUANTITATIVE ANALYSIS --- p.39 / Chapter VIII. --- POSSIBLE SCENARIOS --- p.50 / Purpose --- p.50 / Optimistic View --- p.50 / Pessimistic View --- p.51 / Semi-Optimistic View --- p.52 / Analysis with factors --- p.54 / Chapter IX. --- CONCLUSION --- p.55 / APPENDIX I --- p.56 / BIBLIOGRAPHY --- p.65

Ding Jiajia. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 112-115). / Abstracts in English and Chinese. / Abstract --- p.i-ii / Acknowledgements --- p.iii / Table of Contents --- p.iv / List of Tables --- p.vi / List of Figures --- p.ix / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.5 / Chapter 2.1 --- Review of Literature on Rental Adjustment Models --- p.5 / Chapter 2.2 --- Review of Literatures on Hedonic Models --- p.10 / Chapter 2.3 --- Review of Literature on Real Estate Dynamics --- p.14 / Chapter 2.4 --- Review of Literature on Markov Chain Models --- p.20 / Chapter Chapter 3 --- Data Description and Econometric Method --- p.23 / Chapter 3.1 --- Data Source and Classification --- p.23 / Chapter 3.2 --- Measurement of Variables --- p.25 / Chapter 3.3 --- Grouping Method and Econometric Methodology --- p.28 / Chapter Chapter 4 --- Empirical Results --- p.32 / Chapter 4.1 --- Correlation of Volume and ROR --- p.32 / Chapter 4.2 --- Granger Causality Tests --- p.33 / Chapter 4.3 --- Estimation of Markov Chain Model --- p.36 / Chapter Chapter 5 --- Concluding Remarks --- p.40 / Appendix I Comparison of Previous Literatures --- p.43 / Appendix II Definition of Districts and Map --- p.49 / Appendix III Tables --- p.54 / Appendix IV Figures --- p.96 / Appendix V Granger Causality Test --- p.99 / Appendix VI Markov Chain Model --- p.101 / Appendix VII Transition Matrix of Markov Chains of commercial property from 1993-2004 --- p.103 / Appendix VIII Transition Matrix of Markov Chains of Residential Estates from 1992-2004 --- p.107 / Bibliography --- p.112

Feng Dandan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 96-101). / Abstracts in English and Chinese. / Abstract --- p.i-ii / Acknowledgements --- p.iii-iv / Table of Contents --- p.v-vi / List of Tables --- p.vii / List of Figures --- p.viii / List of Computer Programs --- p.ix / Chapter Chapter 1. --- Introduction --- p.1 / Chapter 1.1 --- Background of the Present Study --- p.1 / Chapter 1.2 --- Purpose of the Study --- p.4 / Chapter 1.3 --- Significance of the Research --- p.6 / Chapter 1.4 --- Organization of the Thesis --- p.7 / Chapter Chapter 2. --- Literature Review --- p.8 / Chapter 2.1 --- Review of Literatures on Price-Volume Relation in the Housing Market --- p.8 / Chapter 2.2 --- Review of Literatures on Price-Volume Relation in the Stock Market --- p.15 / Chapter 2.3 --- Review of Literatures on Commercial Real Estate Market --- p.16 / Chapter 2.4 --- Review of Literatures on Rent-Price Ratio --- p.22 / Chapter 2.5 --- Chapter Summary --- p.24 / Chapter Chapter 3. --- Data Description --- p.27 / Chapter 3.1 --- Economic Property Research Center Dataset --- p.27 / Chapter 3.2 --- Sample Selection and Classification --- p.27 / Chapter 3.3 --- Summary of Statistics --- p.28 / Chapter 3.4 --- Chapter Summary --- p.31 / Chapter Chapter 4. --- Methodology --- p.33 / Chapter 4.1 --- Measurement --- p.33 / Chapter 4.2 --- Augmented Dickey-Fuller Test --- p.36 / Chapter 4.3 --- Partial Autocorrelation Function --- p.39 / Chapter 4.4 --- Bootstrap Method --- p.41 / Chapter 4.5 --- Granger Causality Test --- p.43 / Chapter 4.6 --- Chapter Summary --- p.46 / Chapter Chapter 5. --- Empirical Results --- p.47 / Chapter 5.1 --- Sale Market --- p.48 / Chapter 5.2 --- Rental Market --- p.51 / Chapter 5.3 --- Overlapping Sample --- p.56 / Chapter 5.4 --- Aggregate Market --- p.58 / Chapter 5.5 --- Chapter Summary --- p.62 / Chapter Chapter 6. --- Concluding Remarks --- p.64 / Appendix 1. Comparison of Previous Literatures --- p.67 / Appendix 2. Tables --- p.70 / Appendix 3. Figures --- p.77 / Appendix 4. Computer Programs --- p.87 / Bibliography --- p.96

published_or_final_version / Urban Planning / Master / Master of Science in Urban Planning

Cheung Wai Yin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves [137]-141). / Abstracts in English and Chinese. / Abstract --- p.i-ii / Acknowledgements --- p.iii / Table of Contents --- p.iv-v / List of Tables --- p.vi / List of Figures --- p.vii-ix / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.8 / Chapter 2.1 --- Studies of Inter-temporal Stability of Correlation --- p.9 / Chapter 2.2 --- Studies of Contagion --- p.14 / Chapter 2.2.1 --- Sample Splitting Approach --- p.15 / Chapter 2.2.2 --- Time Series Approach --- p.20 / Chapter 2.3 --- Studies of Correlation Asymmetry --- p.24 / Chapter 2.3.1 --- Semi-correlation Analysis --- p.25 / Chapter 2.3.2 --- Extreme Value Theory --- p.26 / Chapter 2.3.3 --- Regression Approach --- p.27 / Chapter 2.3.4 --- Others --- p.27 / Chapter Chapter 3 --- Data Description --- p.30 / Chapter 3.1 --- Economic Property Research Center (EPRC) Dataset --- p.30 / Chapter 3.2 --- Measurement of Housing Price --- p.33 / Chapter 3.3 --- Measurement of Trading Volume --- p.37 / Chapter Chapter 4 --- Methodology --- p.38 / Chapter Chapter 5 --- Empirical Results --- p.43 / Chapter 5.1 --- Overview of the Dataset --- p.43 / Chapter 5.2 --- Rolling Window Estimation --- p.45 / Chapter 5.2.1 --- Count of Correlation Coefficients in Each Window --- p.45 / Chapter 5.2.2 --- The Summary Statistics of Correlation Coefficients --- p.47 / Chapter 5.2.3 --- Correlation Distribution in Two Selected Windows --- p.53 / Chapter 5.2.4 --- Discussion and Some Further Evidence --- p.57 / Chapter 5.2.5 --- Within-group and Inter-group Correlations --- p.60 / Chapter 5.3 --- Correlation Asymmetry --- p.62 / Chapter 5.4 --- Does High Correlation in Rate of Return Imply High Correlation in Trading Volume? --- p.64 / Chapter 5.5 --- Robustness Check --- p.66 / Chapter Chapter 6 --- Conclusion --- p.73 / Appendix I A Summary of Hedonic Pricing Equation --- p.77 / Appendix II Illustration of Composition Effect --- p.79 / Appendix III A Summary of Calculating Correlation Coefficient --- p.81 / Appendix IV CLMX Variance Decomposition --- p.84 / Appendix V Tables --- p.87 / Appendix VI Figures --- p.94 / List of References --- p.137

Wei Peiling. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 79-82). / Abstracts in English and Chinese. / Abstract --- p.i-ii / Acknowledgement --- p.iii / Table of Contents --- p.iv-v / List of Tables --- p.vi-vii / List of Figures --- p.viii / Chapter Chapter 1. --- Introduction --- p.1 / Chapter Chapter 2. --- Literature Review --- p.4 / Chapter 2.1 --- Review of Literatures on Price relations in Real Estate Markets --- p.4 / Chapter 2.2 --- Review of Literatures on Price relations in Stock Markets --- p.7 / Chapter 2.3 --- Review of Literatures on Industrial Real Estate Market --- p.8 / Chapter 2.4 --- Review of Literatures on Measurement of Real Estate Prices --- p.11 / Chapter Chapter 3. --- Data Description --- p.14 / Chapter 3.1 --- Economic Property Research Center Dataset --- p.14 / Chapter 3.2 --- Sample Selection and Classification --- p.14 / Chapter 3.3 --- Summary of Statistics --- p.15 / Chapter 3.4 --- Chapter Summary --- p.17 / Chapter Chapter 4. --- Methodology --- p.18 / Chapter 4.1 --- Measurement --- p.18 / Chapter 4.1.1 --- Rate of Return (ROR) as a measure of price level --- p.18 / Chapter 4.1.2 --- Number of transactions as a measure of trading volume (Vol.) --- p.19 / Chapter 4.2 --- Unit Roots Test --- p.20 / Chapter 4.3 --- Partial Autocorrelation Function --- p.21 / Chapter 4.4 --- Bootstrap Method --- p.23 / Chapter 4.5 --- Granger Causality Test --- p.23 / Chapter Chapter 5. --- Empirical Results --- p.25 / Chapter 5.1 --- Sale Market --- p.25 / Chapter 5.1.1 --- Relationships between Prices --- p.25 / Chapter 5.1.2 --- Relationships between Trading Volumes --- p.27 / Chapter 5.2 --- Rental Market --- p.28 / Chapter 5.1.1 --- Relationships between Rents --- p.28 / Chapter 5.1.2 --- Relationships between Trading Volumes --- p.29 / Chapter 5.3 --- Chapter Summary --- p.31 / Chapter Chapter 6. --- Concluding Remarks --- p.33 / Appendix 1. Summary of Previous Literatures on Industrial Real Estate --- p.37 / Appendix 2. Tables --- p.41 / Appendix 3. Figures --- p.65 / Appendix 4. Definition of property types --- p.77 / Appendix 5. Example of Perl program used to extract the data from EPRC data sheets --- p.78 / Bibliography --- p.79

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

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