• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Xu, Junbing (Xu, Junbing.) [1] | Zhu, Minling (Zhu, Minling.) [2] | Song, Shengying (Song, Shengying.) [3] | Wu, Yunxi (Wu, Yunxi.) [4]

Indexed by:

SCIE

Abstract:

Exploiting the quasi-natural experiment of the social insurance collection system reform implemented in China in 2000, based on data from China's industrial enterprise database from 1998 to 2006, we use the difference-in-differences method to test the impact of changing the social insurance collection institution on corporate tax evasion. We find that changing the social insurance collection institution from the social security department to the local tax department significantly deters corporate tax evasion. A series of robustness tests also support this conclusion. The reason is changing the social insurance collection institution to the local tax department increases its' social insurance information of the enterprise, and reduces the information asymmetry between the enterprise and the collection institution. Furthermore, we find that the impact of changing the social insurance collection institution on corporate tax evasion is more evident in the samples of labor-intensive enterprises, low labor cost enterprises, and enterprises under the jurisdiction of the local tax department. These results indicate that government institutional reform is a valid way to reduce the information asymmetry between the government and enterprises, which will finally deter corporate tax evasion.

Keyword:

Community:

  • [ 1 ] [Xu, Junbing]Minjiang Univ, NewHuadu Business Sch, Fuzhou, Fujian, Peoples R China
  • [ 2 ] [Zhu, Minling]Hunan Agr Univ, Econ Coll, Changsha, Hunan, Peoples R China
  • [ 3 ] [Song, Shengying]Jimei Univ, Inst Finance & Economixs, Xiamen, Fujian, Peoples R China
  • [ 4 ] [Wu, Yunxi]Fuzhou Univ, Sch Econ & Management, Fuzhou, Fujian, Peoples R China

Reprint 's Address:

Show more details

Related Keywords:

Related Article:

Source :

PLOS ONE

ISSN: 1932-6203

Year: 2022

Issue: 12

Volume: 17

3 . 7

JCR@2022

2 . 9 0 0

JCR@2023

ESI HC Threshold:117

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Online/Total:99/10272405
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1