Incidence of Energy Consumption, Mining Sector and Economic Growth on CO2 Emission Levels: Evidence from Peru

Rosa Acuña-Ascencio, Enzo Carhuamaca-Coronel, Benoit Mougenot*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Environmental pollution and its harmful effects have become a growing topic of study in recent years because the exploitation of resources, rationalized by the prevailing desire for economic growth, is going to directly affect the sustainability of our existing ecosystem in the coming decades. This is considering that there are productive sectors that have a larger environmental footprint, such as the mining industry. This study focuses on establishing the relationship between the variables of energy consumption, gross domestic product per capita, and mineral rents and their impact on the level of pollution by CO2 emissions in the period 1971–2019, using the Environmental Kuznets Curve theory. To this end, we used statistical and econometric tools based on the autoregressive distributed lag dynamic model through a time series analysis starting from historical data. We concluded that the variables CEpc, PBIpc, and RM have deleterious effects as a 1% increase in these variables increases the level of environmental pollution by CO2 emissions by 0.724%, 0.136%, and 0.061%, respectively.

Original languageEnglish
Pages (from-to)6-11
Number of pages6
JournalInternational Journal of Energy Economics and Policy
Volume14
Issue number1
DOIs
StatePublished - 15 Jan 2024

Keywords

  • Autoregressive Distributed Lag
  • Dynamic Model
  • Environmental Kuznets Curve
  • Gross Domestic Product

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