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研究生: 劉育嘉
Yu-Chia Liu
論文名稱: 中國大陸地方財政分權對房產價格的影響-以空間計量模型分析
The Impact of Fiscal Decentralization on House Price in China – Spatial Analysis
指導教授: 黃智聰
Jr-Tsung Huang
學位類別: 碩士
Master
系所名稱: 社會科學學院 - 財政學系
Department of Public Finance
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 73
中文關鍵詞: 中國財政分權房價空間計量
外文關鍵詞: China, Fiscal Decentralization, House Price, Spatial Econometrics
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  • This study tries to investigate the impact of fiscal decentralization on house price in China, applying spatial econometrics models to conduct the empirical analysis. This study uses official panel data for 31 provinces from 2000 to 2010 and the provincial price of commercialized buildings in China as the dependent variable, the primary finding of this study is that the relationship between fiscal decentralization and house price in China is like a U-shaped curve in which we can find an appropriate degree of fiscal decentralization minimizing the house price. In addition, the results show that the spatial dependence has a statistically significant and positive influence on house price in China. Therefore, the Chinese government could implement some fiscal policies to control the fiscal decentralization across provinces. By adjusting the degree of fiscal decentralization to an appropriate level, the houses prices between the developed provinces and developing provinces can achieve a stable equilibrium.

    Keywords: China, Fiscal Decentralization, House Price, Spatial Econometrics

    CHAPTER 1. INTRODUCTION 1
    1.1 Introduction 1
    1.2 Research Framework 6

    CHAPTER 2. LITERATURE REVIEW 8
    2.1 Literature of the Relationship between House Price and Fiscal Decentralization 8
    2.2 Literature of House Price Using Spatial Analysis 13

    CHAPTER 3. HOUSE MARKET AND FISCAL DECENTRALIZATION IN CHINA 18
    3.1 The House Market in China 18
    3.2 The Fiscal Decentralization in China 26
    3.3 The Fiscal Reforms in China 29

    CHAPTER 4. METHODOLOGY AND VARIABLES 36
    4.1 Spatial Dependence 36
    4.2 Spatial Econometrics Models 38
    4.3 Variables Description and Data 42

    CHAPTER 5. EMPIRICAL ANALYSIS 47
    5.1 Model Estimation without Spatial Dependence 48
    5.2 Spatial Econometrics Model Estimation 54

    CHAPTER 6. CONCLUSIONS AND POLICY IMPLICATIONS 66
    6.1 Conclusions 66
    6.2 Policy Implications 67

    REFERENCES 69
    APPENDIX 73

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