Corporate tax collection in times of Covid-19 pandemic: An analysis of the Peruvian economy
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Author(s)Ana Leyla Yupanqui-CastilloLink to ORCID Index: https://orcid.org/0000-0002-7875-4393
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Katarzyna Werner-MastersLink to ORCID Index: https://orcid.org/0000-0003-4874-516X
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Franklin Cordova-BuizaLink to ORCID Index: https://orcid.org/0000-0002-7623-7472
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DOIhttp://dx.doi.org/10.21511/pmf.13(2).2024.09
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Article InfoVolume 13 2024, Issue #2, pp. 98-109
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14 Downloads
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Creative Commons Attribution 4.0 International License
Tax collection is a source of financing expenses for governments, including the mitigation of the social and economic impacts of diverse disruptions. This applies to Peru, where the amount of corporate tax collected during the Covid-19 pandemic showed a notable variation. This study aims to analyze the impact of various tax management initiatives of the Peruvian government on tax collection during the pandemic from 2019 to 2021. The methodology employs a quantitative approach with a non-experimental research design and longitudinal measurement. Documentary analysis was applied to examine data composed of annual statistical reports relevant to the tax administration organization in Peru, videos, documentaries, conferences, and information related to tax collection. The findings clearly show a fiscal slowdown in 2020 as a consequence of the pandemic; however, considerable growth in tax revenues across different tax regimes, geographic areas of the country, economic sectors, and categories of different taxes collected were reported in 2021. This outcome results from the implementation of various fiscal tax relief measures in the early stages of the pandemic, with their effect being observed in 2021. Thus, it is argued that these measures contributed to the reactivation of the business economy in Peru, improving the country’s economic situation.
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JEL Classification (Paper profile tab)H25, H71
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References55
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Tables1
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Figures1
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- Figure 1. Tax collection in the different regimes
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- Table 1. Tax collection by geographical areas of Peru.
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