How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning

被引:0
|
作者
Fang, Yan [1 ]
Liu, Yinglin [2 ]
Yang, Yi [3 ]
Lucey, Brian [4 ]
Abedin, Mohammad Zoynul [5 ]
机构
[1] Shanghai Univ Int Business & Econ, Shanghai 201620, Peoples R China
[2] Shanghai Lixin Univ Accounting & Finance, Shanghai 201620, Peoples R China
[3] East China Univ Polit Sci & Law, Shanghai 201620, Peoples R China
[4] Univ Dublin, Trinity Coll Dublin, Trinity Business Sch, Dublin, Ireland
[5] Swansea Univ, Sch Management, Bay Campus,Fabian Way, Swansea SA1 8EN, Wales
关键词
Economic Resilience; Urban Investment Debts; Double Machine Learning; LASSO Technique; Heterogeneity Analysis; REGIONAL RESILIENCE; GOVERNMENT DEBT; HETEROGENEITY; GROWTH; EUROPE;
D O I
10.1016/j.ribaf.2024.102728
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper employs the double machine learning model to investigate the impact of urban investment bonds on economic resilience. To deal with a broad set of macroeconomic and industry variables, LASSO is used for model estimation. The sample consists of 239 Chinese cities that issued debt and loan instruments between 2016 and 2021. The results show that 1) urban investment bonds have a positive, inverted U-shaped effect on economic resilience; 2) the ability to recover from an economic shock plays an important role in constructing the Chinese economic resilience index. The heterogeneity analysis reveals that the impact of urban investment bonds on economic resilience varies according to cities' locations, industrial structure, and financial structure. Furthermore, the mechanism analysis demonstrates that urban investment bonds enhance economic resilience by promoting infrastructure development. These findings provide helpful guidance for China and other developing countries to ensure financing security and maintain robust economic growth.
引用
收藏
页数:13
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