IS THERE TARIFF MIMICKING? THE CASE OF WATER PROVISION IN POLAND

P. Swianiewicz, Julita Łukomska
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引用次数: 2

Abstract

The concept of competition in public finance is usually applied to taxes, and it is often used to analyse policies of local governments. There are two types of tax competition: classic for mobile tax base and yardstick competition, in which local politicians compete for political capital being related to comparison of tax rates with neighbouring municipalities. The latter type is often addressed as tax mimicking in which rates in one municipality are following decisions made in close geographic proximity (neighbouring municipalities). In our paper we argue that in Central and Eastern Europe the concept might be even more useful in case of tariffs for local public services than in case of local taxes. It is due to relatively low tax autonomy of local governments and low tax yields collected from local taxes. We test applicability of the mimicking model in explaining variation of tariffs for water provision in three Polish regions. The test includes controlling variables, such as population size, affluence of local budgets and location and is conducted through multiple linear regression model. This method will allow us to determine whether geographical proximity is indeed a decisive factor, or is similarity of tariffs a result of other similarities of socio-economic environment. The paper is based on results of the “Fees for local public services financial and political importance” research project. The project is funded by Narodowe Centrum Nauki (National Science Centre) grant number UMO-2015/19/B/HS4/02898
是否存在关税模仿?以波兰供水为例
公共财政中的竞争概念通常适用于税收,并经常用于分析地方政府的政策。有两种类型的税收竞争:典型的移动税基竞争和标准竞争,在这种竞争中,地方政客争夺与邻近城市的税率比较相关的政治资本。后一种类型通常被称为税收模仿,其中一个城市的税率遵循地理上接近的决定(邻近的城市)。在我们的论文中,我们认为,在中欧和东欧,对地方公共服务征收关税的情况下,这一概念可能比对地方税收的情况更有用。这是因为地方自治团体的税收自治权相对较低,而且从地方税中征收的税收收益也较低。我们测试了模拟模型在解释波兰三个地区的供水关税变化方面的适用性。检验包括控制变量,如人口规模、地方预算富裕程度、地理位置等,采用多元线性回归模型进行检验。这种方法将使我们能够确定地理邻近是否确实是一个决定性因素,或者关税的相似性是社会经济环境的其他相似性的结果。本文基于“地方公共服务收费的财政和政治重要性”研究项目的结果。本项目由国家科学中心(Narodowe Centrum Nauki)资助,资助号为UMO-2015/19/B/HS4/02898
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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