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Agent based simulation of China's urban demographics: Impacts on the real estate market.

机译:基于Agent的中国城市人口统计模拟:对房地产市场的影响。

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摘要

Demographic in China is a very interesting research topic; researchers have conducted substantial work in this area. On the other hand, most previous works have two common short comings. First, most researchers applied probability distribution and statistical techniques toward projecting future China's demographics, as well as its impacts on the Chinese real estate market; while for a complex system like the demographic; an agent based simulation approach might be more thorough and realistic. The second issue regarding previous research works is that most researchers take the projection of nationwide population as their main research outcome, while this thesis concentrates only on China's urban demographics. The reason being that rural population contributes little to the modern, export oriented economy, as a consequence, results generated from this simulation has more impact on the Chinese economy.;Agent based simulation and modeling is a computationally demanding technique, having its origins in discrete event simulation, genetic algorithms and cellular automata. It's a powerful technique for simulating dynamic, complex systems and observing "emergent" behavior. Since there can be a lot of randomness associated with simulations, it is a great tool for the simulation of demographic change.;Anticipated results for this agent based simulation is to project China's urban demographics from 2011 to 2025, specifically the amount of potential consumers in the housing market. What is more, housing starts, which is the number of privately owned new houses (technically housing units) on which construction has been started in a given period; mostly apartment buildings in China; will be another intended simulation result. One thing differ from regular housing starts index is that the simulation will generate housing starts that meet the demand, which is the number of houses sold, instead of the number of houses built.;The housing market is impacted heavily by demographic changes. Additionally, real-estate development consumes more than 50% of commodities in China including copper, cement, steel and more. Since the worldwide demand of these commodities are mostly driven by China, especially copper; a change in the Chinese housing market will have a significant impact on the demand for these commodities and world commodity prices.;The result for this thesis implies that the urban demographics will keep increase in a much lower rate from 2010 to 2016, and starts to decrease from there. Meanwhile, simulation outputs were used to train regression models in order to forecast the future trends of housing market related economic indicators, such as housing starts. Which show that the housing market related economic indicators will also suer a major decrease after the year of 2016. The definition of these economic indicators and outputs will be presented in detail in this writing.
机译:中国人口是一个非常有趣的研究课题。研究人员在这方面进行了大量工作。另一方面,大多数以前的作品都有两个共同的缺点。首先,大多数研究人员将概率分布和统计技术用于预测未来中国的人口统计数据及其对中国房地产市场的影响。而对于像人口统计这样的复杂系统;基于代理的模拟方法可能更加彻底和现实。关于以前的研究工作的第二个问题是,大多数研究人员将全国人口的预测作为主要研究成果,而本文仅关注中国的城市人口统计。原因是农村人口对现代出口导向型经济几乎没有贡献,因此,模拟产生的结果对中国经济产生更大的影响。基于Agent的模拟和建模是一项计算要求很高的技术,其起源是离散的事件模拟,遗传算法和细胞自动机。这是一种用于仿真动态,复杂系统并观察“紧急”行为的强大技术。由于模拟可能存在很多随机性,因此它是模拟人口变化的一个很好的工具。基于主体的模拟的预期结果是预测2011年至2025年中国的城市人口统计数据,尤其是潜在的消费者数量。住房市场。更重要的是,房屋开工,即在特定时期内开始建造的私人新房(技术上为住房)的数量;在中国大部分是公寓楼;将是另一个预期的模拟结果。与常规房屋开工指数不同的一件事是,模拟将生成满足需求的房屋开工,该房屋开工满足需求,即已售房屋数量而不是已建房屋数量。住房市场受到人口变化的严重影响。此外,房地产开发消耗了中国50%以上的商品,包括铜,水泥,钢铁等。由于这些商品的全球需求主要由中国驱动,尤其是铜。中国住房市场的变化将对这些商品的需求和世界商品价格产生重大影响。本论文的结果表明,从2010年到2016年,城市人口的增长将保持低得多的速度,并开始从那里减少。同时,模拟输出用于训练回归模型,以预测与房屋市场相关的经济指标(如房屋开工)的未来趋势。这表明与住房市场有关的经济指标在2016年之后也将大幅下降。这些经济指标和产出的定义将在本文中详细介绍。

著录项

  • 作者

    Xie, Xiaodian.;

  • 作者单位

    Southern Methodist University.;

  • 授予单位 Southern Methodist University.;
  • 学科 Statistics.;Economics Finance.;Sociology Demography.;Computer Science.
  • 学位 M.S.
  • 年度 2013
  • 页码 67 p.
  • 总页数 67
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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