Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density

面板数据 生产力 计量经济学 全要素生产率 经济 人口 经济增长 人口学 社会学
作者
Qian Zhou,Qinglong Shao,Xiaoling Zhang,Jie Chen
出处
期刊:Land Use Policy [Elsevier]
卷期号:91: 104410-104410 被引量:16
标识
DOI:10.1016/j.landusepol.2019.104410
摘要

The issue of what to promote in total factor productivity (TFP) in urban areas has been widely discussed in academia and housing prices and population density are confirmed to be two of the most essential driving factors. However, research into the interaction of housing prices and population density with TFP has been neglected, with no previous studies taking spatial factors into consideration, which may bias the results. From this perspective, using spatial panel data models and employing instrumental variables to solve the endogenous problem, this study examines the impact of housing prices on TFP through the mediating effect of population density for 283 Chinese cities during the period 2000–2013, and confirms that the mediating effect accounts for 18.70 % of the total effect. The results show the positive and significant association of housing prices with TFP and the inverted U-shape of population density. The underlying logic is that housing prices change population density by attracting people with high purchasing power and discouraging those unable to afford housing, whereas increased density helps to promote productivity since the settled inhabitants always have highly developed work skills and are well educated. The influencing mechanism of housing prices on TFP through population density is analyzed, namely the spillover effect. We find that the spillover effect exists in the eastern and central regions, as well as first, second, and third tier cities, while for western regions and fifth tier cities, population mobility and increased in housing prices slows their economic development. There is no evidence of any spillover effect in fourth tier cities. A discussion and suggested policy implications are also provided.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
追寻的山晴完成签到,获得积分10
2秒前
3秒前
猴子先生完成签到,获得积分10
3秒前
儒雅丹寒发布了新的文献求助10
3秒前
smile完成签到,获得积分10
4秒前
5秒前
儒雅的葶关注了科研通微信公众号
5秒前
5秒前
狗大王完成签到,获得积分10
6秒前
打打应助活力竺采纳,获得10
6秒前
7秒前
碗碗发布了新的文献求助10
7秒前
浮生发布了新的文献求助10
8秒前
Akim应助11111采纳,获得10
8秒前
可爱的函函应助piglet采纳,获得10
8秒前
jgs发布了新的文献求助10
10秒前
猪猪Pie发布了新的文献求助30
10秒前
香蕉觅云应助zouyan233采纳,获得10
10秒前
Rdx发布了新的文献求助10
12秒前
fossick2010完成签到 ,获得积分20
16秒前
MrSong完成签到,获得积分10
17秒前
Hello应助科研通管家采纳,获得10
19秒前
ding应助科研通管家采纳,获得10
19秒前
JamesPei应助科研通管家采纳,获得10
20秒前
隐形曼青应助科研通管家采纳,获得10
20秒前
甜甜玫瑰应助科研通管家采纳,获得10
20秒前
在水一方应助科研通管家采纳,获得10
20秒前
慕青应助科研通管家采纳,获得10
20秒前
大模型应助科研通管家采纳,获得10
20秒前
科研通AI2S应助科研通管家采纳,获得10
20秒前
20秒前
20秒前
jqy发布了新的文献求助10
23秒前
晓海发布了新的文献求助10
23秒前
浮生发布了新的文献求助10
25秒前
可乐应助小王采纳,获得10
27秒前
28秒前
29秒前
29秒前
31秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 1800
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
How Maoism Was Made: Reconstructing China, 1949-1965 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3313559
求助须知:如何正确求助?哪些是违规求助? 2945879
关于积分的说明 8527489
捐赠科研通 2621538
什么是DOI,文献DOI怎么找? 1433778
科研通“疑难数据库(出版商)”最低求助积分说明 665098
邀请新用户注册赠送积分活动 650637