Understanding Public Support for the Flat-Rate Personal Income Tax in a Post-Communist Context: The Case of Romania

Author:

Gheorghiță Andrei1ORCID

Affiliation:

1. Centre for Social Research, Lucian Blaga University of Sibiu, 550169 Sibiu, Romania

Abstract

The overall landscape of personal income taxation (PIT) has changed rapidly in numerous post-communist countries of Central and Eastern Europe (CEE), with the adoption of a form of flat-rate tax. Although the economic consequences of this change have been studied extensively, little is known about public opinion on the topic in these countries. This article aims to shed some light on how public opinion addresses the issue of flat-rate PIT in Romania. Logistic regression analysis is used to assess the impact of self-interest, education, age, gender, ideology, political trust, social solidarity, and political knowledge on public support for flat-rate PIT, based on survey data (N = 1105) from the Romanian Election Study (RES). The results suggest that high-income earners, women, and those with higher levels of political trust are more likely to support flat-rate PIT, while higher levels of social solidarity and more education increase the chances of being reluctant about it. Furthermore, the analysis finds no evidence that age, ideology, or political knowledge have an influence on people’s fiscal preferences. The article’s findings provide lessons for policymakers on how fiscal preferences arise and may evolve in a post-communist context, particularly in relation to recurring societal crises.

Funder

Romanian Ministry of Research and Innovation

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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