首页> 外文期刊>Regional science and urban economics >Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion
【24h】

Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion

机译:中国住房市场的空间相互关系:空间因果关系,趋同与扩散

获取原文
获取原文并翻译 | 示例
           

摘要

This paper comprehensively tests the spatial interrelationships of 10 housing markets in the Pan-Pearl River Delta (Pan-PRD) in China, including the properties of spatial causality, convergence and diffusion patterns. The pairwise Toda-Yamamoto Granger causality tests suggest widely existing leading-lag relationships between housing markets; a unidirectional causal flow from the eastern-central area to western China can be tentatively confirmed. However, there is a lack of sufficient evidence supporting pairwise long-run cointegration and convergence, indicating a diverged interurban housing market in the Pan-PRD. In the short run, the spatial temporal diffusion model manifests the importance of the spillover effect from neighbouring cities in predicting one city's house price changes. Furthermore, the generalized impulse response functions (GIRFs) clearly depict the transmission pattern of shocks to one chosen city. The diffusion pattern is characterized by the fact that the shocks first spread to nearby cities with cities further away taking a longer time to respond. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文全面测试了中国泛珠三角地区10个住房市场的空间相互关系,包括空间因果性,收敛性和扩散模式的特性。成对的Toda-Yamamoto Granger因果关系检验表明,住房市场之间存在广泛的领先与落后关系。可以初步确定从东部中部地区到中国西部的单向因果流。但是,缺乏足够的证据支持成对的长期协整和融合,这表明泛珠三角的城市间住房市场存在差异。在短期内,空间时间扩散模型显示了邻近城市的溢出效应在预测一个城市的房价变化中的重要性。此外,广义脉冲响应函数(GIRF)清楚地描述了震动向一个选定城市的传播方式。扩散模式的特征是,冲击首先扩散到附近的城市,而远离城市的城市需要更长的时间来做出响应。 (C)2016 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号