• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Proceedings of the 4th Conference on Systems Science, Management Science amp; System Dynamics. >Understanding and Stabilizing the Housing Price in Shanghai-A System Dynamics Approach
【24h】

Understanding and Stabilizing the Housing Price in Shanghai-A System Dynamics Approach

机译：了解和稳定上海的房价-系统动力学方法

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Under the housing welfare policy scheme in China, allocation of housing is done by managers of the scheme; the houses belonged to the state and couldn’t be traded privately. Although houses are constructed every year, demand for housing has not kept pace with supply due to ever growing demand of the scarce facility. In 1998, the housing welfare allocation policy was abolished in order to reduce the cost of burden to government. This led to gradual relieve on those in need of housing to live in. However the change in policy led to successive price increase for housing exponentially over the last decade. Even though housing facilities became available, they are not accessible to many Chinese families due to the continuous increase in the prices. It is tough to afford the available houses to live in as prices keep increasing over time. The imbalances between the need for affordable housing by families and available inaccessible expensive housing have multiplying effect on the economy. It would lead to slow development of the housing market and industry as well as reduce quality of life for the masses, hence the for critical study of the underlying cause(s) of the problematic behavior. This paper, system dynamics method is applied to study the price increases problem. We found out that the feedback loop relating to the housing price and speculation of demand for housing is reinforcing; leading to further price increases over time. We have built system dynamic model to explain the relationship existing between inventory, housing price, consumption and speculative demand. We have also applied various tests to make this model robust, more valid and rational similar to real life situation. The speculative demand proved to be the main source of the price hike and therefore we formulated two policies recommendable to the effect of the feedback relationship between housing price increases and speculative demand thereby stabilizing the housing price increases.
机译：根据中国的住房福利政策计划，住房分配由计划的管理者完成；这些房屋属于国家所有，不能私下交易。尽管每年建造房屋，但是由于稀缺设施的需求不断增长，房屋需求并未跟上供应的步伐。 1998年，为了降低政府负担的成本，取消了住房福利分配政策。这逐渐缓解了需要住房的人们的生活。然而，政策的改变导致了过去十年来住房价格的成倍增长。尽管有住房设施，但由于价格持续上涨，许多中国家庭仍无法获得住房设施。随着价格随着时间的推移不断上涨，很难负担得起可用的住房。家庭对可负担住房的需求与无法获得的昂贵住房之间的不平衡，对经济产生了倍增的影响。这将导致住房市场和产业的发展缓慢，并降低群众的生活质量，因此需要对问题行为的根本原因进行批判性研究。本文采用系统动力学方法研究涨价问题。我们发现，与住房价格和住房需求投机有关的反馈回路正在加强。导致价格随时间进一步上涨。我们建立了系统动态模型来解释库存，住房价格，消费和投机需求之间的关系。我们还应用了各种测试，以使该模型更健壮，更有效，更合理，类似于现实生活中的情况。事实证明，投机性需求是价格上涨的主要来源，因此我们制定了两项政策建议，以促进房价上涨和投机性需求之间的反馈关系，从而稳定房价上涨。

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