Housing Affordability and Emerging Economy in Urban Beijing

DOI

10.2991/aebmr.k.191217.061How to use a DOI?

Keywords

Housing Affordability, Econometrics Modeling, Business Analysis

Abstract

Purpose – The purpose of this paper is to examine determinants of housing affordability in Beijing and explore how housing affordability will influence business development, with a special focus on startups and skill-intensive firms. Empirical research is based on Beijing grid-cell level data from 2012-2014. Methodology – This paper firstly applies econometrics modeling techniques including OLS model, Logit model, panel regression and negative binominal model to test determinants of housing affordability and its impact on business development. Additionally, we also employ machine learning methods such as k-means clustering to classify grid cells of Beijing metro area based on some social-economic characteristics.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Huang
PY  - 2019
DA  - 2019/12/20
TI  - Housing Affordability and Emerging Economy in Urban Beijing
BT  - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
PB  - Atlantis Press
SP  - 354
EP  - 368
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191217.061
DO  - 10.2991/aebmr.k.191217.061
ID  - Huang2019
ER  -