Abstract

Objective: The objective of this research is to analyze the relationship between economic growth and environmental degradation through a regression model for the Peruvian case, during the period 1990-2019, based on Georgescu Roegen's Bioeconomy; who explains that, in environmental terms, economic growth seems to be more of a problem than a solution. Method: The quantitative approach was considered, of a non-experimental type, with a descriptive and correlational design; where secondary source information from the World Bank database was used. Results: According to the results obtained, it is concluded that the variable with the most relationship or that best explains economic growth is energy consumption, followed by CO2 emissions; indicators of environmental degradation explain 24% of economic growth, being a model without problems of heteroscedasticity or autocorrelation; the level of individual significance in all cases is less than 5% and according to the proposed model it is necessary to; if CO2 emissions increase, PBI per capita would increase by 19% and if energy consumption increases, PIB per capita would increase by 20%. Conclusions: Finally, it was possible to contrast the hypothesis that there is a direct and significant relationship between economic growth and environmental degradation.

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