Tax Governance and Corporate Labor Investment Efficiency: A Quasi‐Natural Experiment From China

Author:

Yang Laifeng1ORCID,Lu Junwei1,Wang Qing Sophie23,Lai Shaojie34ORCID

Affiliation:

1. School of Management Shandong University Jinan China

2. Department of Economics and Finance University of Canterbury Christchurch New Zealand

3. School of Finance Jiangxi University of Finance and Economics Nanchang China

4. Jiangxi Financial Development Institute Nanchang China

Abstract

ABSTRACTResearch Question/IssueWe take advantage of China's staggered rollout of the Golden Tax Phase (GTP) III reform to examine how enhanced tax governance through digitalization affects corporate labor investment efficiency (LIE).Research Findings/InsightsApplying a staggered difference‐in‐differences approach to Chinese A‐share listed companies spanning from 2010 to 2017, our research reveals a significant improvement in LIE due to digitalized tax governance. Our path analysis demonstrates that the relationship between tax governance and LIE is mediated by enhancements in corporate governance and information quality. Notably, improved information quality exerts a more substantial influence than corporate governance. In addition to these mediated pathways, we identify a residual direct effect from digitalized tax governance to LIE.Theoretical/Academic ImplicationsThis study uncovers a causal relationship between digitalized tax governance and corporate LIE. It offers new insights into the broader effects of tax governance, specifically how businesses adjust their employment decisions when tax administration becomes more digitalized.Practitioner/Policy ImplicationsThis study highlights a positive externality of digitalized tax governance, offering valuable insights for policymakers aiming to optimize tax administration processes through information technology.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Wiley

Reference65 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3