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ZENODO
Dataset . 2022
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Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru

Authors: IBARRA FRETELL, WALTER GREGORIO; GRIJALVA SALAZAR, ROSARIO VIOLETA;

Green taxes as ecosystem conservation: an analysis of the industrial sector's view in Peru

Abstract

Background: Environmental problems are becoming more and more recurrent nowadays, which is why many countries have acted on the matter, through different forms, laws and taxes that can contribute and reduce the polluting impact of companies at the time of manufacturing their products. One of the reforms has been environmental taxes, which are not only aimed at raising money, but also at taking corrective action on the behavior of companies that damage both the environment and the health of the population. Objective: The research is interested in finding out the opinion and interest of managers of different companies in the industrial sector on environmental taxes, also known as green taxes, and whether they consider it necessary to add green taxes to the current tax system. Method: For the data collection of the research, 120 managers of small and medium-sized enterprises in the industrial sector were questioned about whether green taxes could have an influence on ecosystem conservation and several other questions. Results: 63.3% of the managers surveyed agree that the application of an environmental tax is necessary.

Related Organizations
Keywords

Environmental taxes, ecosystem, environmental problems, pollution, secondary effects.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
Average
Top 10%
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5
9