Spatial Distribution of the Informal Economy. A Theoretical and Empirical Investigation

Albu, Lucian-Liviu; Ghizdeanu, Ion; Stanica, Cristian

doi:10.3280/scre2011-001003

Cited by 3 publications

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“…Regarding the distribution function in Mojokerto, Araujo & Rodrigues, (2016) argues that the distributional policy of taxation changes, apart from efficiency gains, increases in labor taxes exacerbate income inequality, increasing the shadow economy. Albu, (2007) simulates implicitly assuming the same distribution of the entire population with formal income as in the case of sample A. On the other hand, in sample A, one can find a subsample B which only consists of households earning informal income.…”

Section: Introductionmentioning

confidence: 99%

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2023

jbis

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This study aims to empirically study the effects of the allocation, distribution, and stabilization variables on the shadow economy and their impact on tax revenues. This research is descriptiveexplorative and explanatory research. The research location is at the PKL Center, Jl. Fort Pancasila City of Mojokerto. The population of 369 with the Slovin tolerance formula of 0.01 was determined as a sample of 79 respondents. Data collection uses a questionnaire; data analysis is assisted by SmartPLS software version 3.3.7. The results show: 1) Allocations have a significant effect on the shadow economy; 2) Distribution has a significant effect on the shadow economy; 3) Stabilization has no effect on the shadow economy; 4) Allocations do not affect tax revenues; 5) Distribution has a significant effect on tax revenues; 6) Stabilization has a significant effect on tax revenues; 7) Shadow economy has a significant effect on tax revenues; 8) Allocations have an indirect effect on tax revenues through the shadow economy; 9) Distribution has an indirect effect on tax revenues through the shadow economy; 10) Stabilization has an indirect effect on tax revenues through the shadow economy.

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Section: Introductionmentioning

confidence: 99%

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2023

jbis

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Shedding Light on the Driving Forces of the Romanian Shadow Economy: An Empirical Investigation Based on the MIMIC Approach

Davidescu

Schneider

2019

Contributions to Management Science

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The Impact of Unemployment Rate on the Size of Romanian Shadow Economy

Davidescu

Dobre

2013

Public Finance Review

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This article estimates the size of the Romanian shadow economy (SE) using the currency demand approach, in order to evaluate if there is any relationship between the SE and unemployment rate (UR). Using Granger causality tests and error correction models, we examine the impact of both registered and International Labour Office unemployment rates (ILO_UR) on the Romanian SE covering the period between 2000Q1 and 2010Q2. We find that the Romanian SE as a percentage of official gross domestic product (GDP) is decreasing over the analyzed period, from 36.5 percent at the end of 2000 to 31.5 of real GDP at the middle of 2010. Our empirical results also support a unidirectional Granger causality that runs from the URs to the SE. The generalized impulse response functions indicate the existence of a short-run negative relationship between URs and the Romanian SE. The empirical results also indicate that there is a positive long-run relationship between both URs and SE, with a 1 percent increase in URs leading to an increase in the SE of 0.36 percent due to the registered unemployment rate and an increase of 2.27 percent due to the ILO_UR.

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Spatial Distribution of the Informal Economy. A Theoretical and Empirical Investigation

Cited by 3 publications

References 0 publications

Untitled

Untitled

Shedding Light on the Driving Forces of the Romanian Shadow Economy: An Empirical Investigation Based on the MIMIC Approach

The Impact of Unemployment Rate on the Size of Romanian Shadow Economy

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