国际经济管理学院研究生workshop2025年春季学期第6期(第二组)

研究生workshop由首都经济贸易大学国际经济管理学院主办。主要内容:一是研究生报告前沿或经典文献,二是研究生报告自己的研究或研究设想。论坛宗旨是:为学院师生搭建一个学术交流平台,营造浓厚学术氛围;通过对经典论著或前沿文献的研讨,拓宽研究生的理论视野,提升研究生的前沿方法运用能力,帮助研究生提高论文写作质量。

本期workshop

第二组报告人1:刘杨,博士2023

导师:牛毅

报告题目:Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China,《Regional Science and Urban Economics》,2019Tsai and Chiang

摘要: Over the last few decades, exuberance (bubble) and spillovers (ripple effects) have both been observed in the overheated housing market. However, surprisingly few attempts have so far been made to integrate these two concepts to further explore China's housing market frenzies. According to growth poles, the causality between exuberance and spillovers in real estate markets is that capital is initially concentrated in first-tier cities, but the housing-price exuberance then leads to spillovers to second-tier cities. Using housing price and rental data encompassing four first-tier and six second-tier cities on a month-by-month basis, we apply recursive unit root tests to examine the degree and timing of housing booms. At the same time, a rolling-window spillover index is used to evaluate ripple effects among these cities. Our estimates indicate that Beijing as a first-tier city first exhibits episodes of exuberance, which are then transmitted to second-tier cities.

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报告人2:崔同玮,博士2022

导师:牛毅

报告题目:Metropolitan areas in the world. Delineation and population trends,《Journal of Urban Economics》,2020Ana I. Moreno-MonroyMarcello SchiavinaPaolo Veneri

摘要:This paper presents a novel method to delineate metropolitan areas – or functional urban areas (FUAs) – in the entire world and assesses their population trends. According to the definition developed by the OECD and the European Union, FUAs are composed of high-density urban centres with at least 50 thousand people plus their surrounding commuting zones. The latter represent the urban centres' areas of influence in terms of labour market flows. The proposed method combines a functional and a morphological approach to overcome the dependency on travel-to-work data to define commuting zones and allow a global delineation. It relies on a probabilistic approach and the use of population and travel impedance gridded data across the globe. Results show that around 3.9 billion people, making up 53% of the world population, live in 8,790 FUAs, out of which 17% live in their commuting zones. Between 2000 and 2015, population growth was higher in larger FUAs, highlighting a general trend toward higher concentration of the metropolitan population. Commuting zones grew faster than urban centres, though with heterogeneous patterns across world regions, income levels and metropolitan size.

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