A Study on Spatial Spillover Effect of Regional Integration on Information Disclosure of Charitable Organizations: An Analysis Based on Logistic Model

Fang Wang, Jia Dong, Qiqi Chen

2022

Abstract

The paper uses the disclosed receiving and dispatching information of Red Cross Societies of various cities during the fight against COVID-19 as a research sample to empirically test the spatial spillover effects of urban agglomeration construction. We find that the higher timeliness and relevance of information disclosure in the Red Cross in urban agglomerations central cities, the higher timeliness and relevance of those in the Red Cross in non-central cities. In addition, the spatial spillover effect of counterpart support can be enhanced by intergov-ernmental cooperation.

Paper Citation

in Harvard Style

Wang F., Dong J. and Chen Q. (2022). A Study on Spatial Spillover Effect of Regional Integration on Information Disclosure of Charitable Organizations: An Analysis Based on Logistic Model. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 453-457. DOI: 10.5220/0011739800003607

in Bibtex Style

@conference{icpdi22,
author={Fang Wang and Jia Dong and Qiqi Chen},
title={A Study on Spatial Spillover Effect of Regional Integration on Information Disclosure of Charitable Organizations: An Analysis Based on Logistic Model},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={453-457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011739800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - A Study on Spatial Spillover Effect of Regional Integration on Information Disclosure of Charitable Organizations: An Analysis Based on Logistic Model
SN - 978-989-758-620-0
AU - Wang F.
AU - Dong J.
AU - Chen Q.
PY - 2022
SP - 453
EP - 457
DO - 10.5220/0011739800003607
PB - SciTePress