by Tse Tin-leung, Raymond. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 84-85). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / LIST OF ILLUSTRATIONS --- p.v / CHAPTERS / Chapter I. --- INTRODUCTION --- p.1 / Scope of This Project --- p.1 / Chapter II. --- METHODOLOGY --- p.4 / Chapter III. --- THE SYSTEM OF LAND & PROPERTY SUPPLY IN HONG KONG --- p.5 / Supply by Hong Kong Government --- p.5 / Supply by Private Sectors --- p.5 / Chapter VI. --- BUYING & SELLING ： THE DECISION MAKING PROCESS --- p.7 / Buying Properties --- p.7 / Selling Properties --- p.9 / Chapter V. --- FACTORS AFFECTING THE PRICE MOVEMENT --- p.11 / The Price Movement --- p.11 / Factors Affecting Price Movement --- p.11 / Chapter VI. --- THE FINDINGS --- p.18 / Chapter VII. --- APPLYING PRICE EQUATION TO WHAMPOA GARDEN --- p.21 / Choice of District --- p.21 / The Data Collection for Whampoa Garden --- p.22 / The Findings --- p.23 / Chapter VIII. --- CONCLUSION --- p.25 / Chapter IX. --- LIMITATION --- p.27 / APPENDIX --- p.28 / BIBLIOGRAPHY --- p.84

The real estate market in Sweden has experienced a significant increase in prices since the late 1990s, with prices for building materials and labour increasing by almost 60% more than consumer prices. Interest rates and mortgage lending have also impacted the real estate market, with higher disposable income and lower real interest rates accounting for almost 90% of the price increase. Population growth and migration have also impacted the demand for housing in Sweden's metropolitan areas. Regulatory measures have also impacted the housing market, with macroprudential policies introduced to stabilize the market and prevent housing bubbles. This paper examines the macroeconomic factors that affect the average square meter price for tenant-owned apartments in Sweden's three metropolitan areas, Greater Stockholm, Greater Gothenburg, and Greater Malmo. The variables studied are disposable income, unemployment rate, OMXSPI index, mortgage interest rates, new developments, an amortization dummy, and a trend variable. Two regression models have been produced where the difference is that the trend variable is included in only one of them (model 2). The result of the study shows that all variables are statistically significant in model (1).

The Best PhD Thesis in the Faculties of Architecture, Arts, Business & Economics, Education, Law and Social Sciences (University of Hong Kong), Li Ka Shing Prize, 2005-2006. / published_or_final_version / abstract / Real Estate and Construction / Doctoral / Doctor of Philosophy