东爪哇对COVID-19的恐惧决定区域税收:空间德宾模型(SDM)溢出方法

N. Atikah, B. Widodo, S. Rahardjo, Mardlijah, N. Kholifia, D. L. Afifah
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引用次数: 0

摘要

COVID-19大流行在受感染国家造成了经济、社会和政治危机。这些国家实施了封锁政策,以预测疫情的蔓延,导致包括税收在内的财政收入减少。在大流行期间实现税收并不容易,因为几乎所有部门都出现了衰退。空间相互作用影响税收收入,因此在分析空间相互作用时必须采用空间模型。其中一种空间模式是空间杜宾模式(SDM),是空间自回归模式(SAR)的发展。在SDM模型中,因变量和自变量都包含空间效应。溢出效应是指一个地区的变化引起另一个地区变化的趋势。本研究的主要目的是估计溢出效应对东爪哇地区/城市税收的影响及其蔓延。研究发现,东爪哇省的gdp、通货膨胀、产业数量和总人口对税收有正向的空间溢出效应。©2022作者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinant regional tax revenue in fear of COVID-19 in East Java: Spatial Durbin Model (SDM) spillover approach
The COVID-19 pandemic has caused economic, social and political crises in the infected countries. These countries implemented a lockdown policy to anticipate the spread, resulting in decreased financial revenues, including tax revenues. It is not easy to achieve tax revenue during a pandemic because almost all sectors have declined. Spatial interactions influence tax revenue, so a spatial model must be applied in its analysis. One of the spatial models is Spatial Durbin Model (SDM) is the development of the spatial autoregressive model (SAR). In the SDM model, the dependent variable and the independent variable both contain spatial effects. Spillover is the tendency of a changes in one area are following changes in another areas. This study's main objective is to estimate spillover's effect on districts/cities tax revenue and its spread in East Java. Researchers found a positive spatial spillover of GRDP, inflation, number of industries, and total population on tax revenue in East Java. © 2022 Author(s).
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