Housing Price, Industrial Upgrading, and Total Factor Productivity: PVAR Model Based on Chinese Provincial Panel Data

被引:0
|
作者
Zhu, Lin [1 ]
Wu, Zijing [2 ]
机构
[1] Beijing Normal Univ, Sch Govt, Beijing, Peoples R China
[2] Peking Univ, Sch Govt, Beijing Natl Accounting Inst, Beijing, Peoples R China
来源
ICCREM 2021: CHALLENGES OF THE CONSTRUCTION INDUSTRY UNDER THE PANDEMIC | 2021年
关键词
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The growth of Chinese economy is shifting from "speed" to "quality." The quality of economic growth is characterized by an increase in industrial structure and an increase in total factor productivity (TFP), but experience has shown that housing price increases will inhibit industrial upgrading to a certain extent and may lead to a decline in TFP. However, there are also theoretical models that, along with the industrial structure change and the growth of TFP in the region, the demand for housing will increase under limited supply conditions, which in turn will promote the increase in real estate prices. This study mainly explores the dynamic mechanism and impact mechanism between housing prices and industrial upgrading and TFP, to contribute to the organic integration of housing regulation and industrial policies, and to contribute to the high-quality development of the Chinese economy.
引用
收藏
页码:778 / 784
页数:7
相关论文
共 50 条
  • [21] Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model
    Fischer, Manfred M.
    Scherngell, Thomas
    Reismann, Martin
    GEOGRAPHICAL ANALYSIS, 2009, 41 (02) : 204 - 220
  • [22] Impact of Energy Productivity and Industrial Structural Change on Energy Intensity in China: Analysis Based on Provincial Panel Data
    Dai, Chenyu
    Liu, Fengliang
    SUSTAINABILITY, 2023, 15 (18)
  • [23] Does Digital Village Construction Promote Agricultural Green Total Factor Productivity? An Empirical Study Based on China's Provincial Panel Data
    Xu, Lingling
    Tanamee, Danai
    Romprasert, Suppanunta
    ECONOMIES, 2025, 13 (04)
  • [24] The impact of FDI spillover effects on total factor productivity in the Chinese electronic industry: a panel data analysis
    Liu, William Sheng
    Agbola, Frank Wogbe
    Dzator, Janet Ama
    JOURNAL OF THE ASIA PACIFIC ECONOMY, 2016, 21 (02) : 217 - 234
  • [25] Factors of the Housing Demand Based on the Inter-provincial Panel-data
    Zhang, W. G.
    Hu, W. X.
    An, R. Y.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY (AMEIT 2015), 2015, : 209 - 216
  • [26] Technological factors and total factor productivity in China: Evidence based on a panel threshold model
    Huang, Junbing
    Cai, Xiaochen
    Huang, Shuo
    Tian, Sen
    Lei, Hongyan
    CHINA ECONOMIC REVIEW, 2019, 54 : 271 - 285
  • [27] The Housing-led Growth Hypothesis Revisited: Evidence from the Chinese Provincial Panel Data
    Chen, Jie
    Guo, Feng
    Zhu, Aiyong
    URBAN STUDIES, 2011, 48 (10) : 2049 - 2067
  • [28] Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China
    Wang, Mengxin
    Li, Yanling
    Liao, Gaoke
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2021, 9
  • [29] Can industrial collaborative agglomeration reduce carbon intensity? Empirical evidence based on Chinese provincial panel data
    Meng, Xiao-Na
    Xu, Shi-Chun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (40) : 61012 - 61026
  • [30] Different types of environmental concerns and heterogeneous influence on green total factor productivity: Evidence from Chinese provincial data
    Long, Yan
    Liu, Liangcan
    Yang, Bing
    JOURNAL OF CLEANER PRODUCTION, 2023, 428