TY - JOUR
T1 - Incidence of Energy Consumption, Mining Sector and Economic Growth on CO2 Emission Levels
T2 - Evidence from Peru
AU - Acuña-Ascencio, Rosa
AU - Carhuamaca-Coronel, Enzo
AU - Mougenot, Benoit
N1 - Publisher Copyright:
© 2024, Econjournals. All rights reserved.
PY - 2024/1/15
Y1 - 2024/1/15
N2 - 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.
AB - 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.
KW - Autoregressive Distributed Lag
KW - Dynamic Model
KW - Environmental Kuznets Curve
KW - Gross Domestic Product
UR - http://www.scopus.com/inward/record.url?scp=85184224944&partnerID=8YFLogxK
U2 - 10.32479/ijeep.14786
DO - 10.32479/ijeep.14786
M3 - Artículo
AN - SCOPUS:85184224944
SN - 2146-4553
VL - 14
SP - 6
EP - 11
JO - International Journal of Energy Economics and Policy
JF - International Journal of Energy Economics and Policy
IS - 1
ER -