This paper analyzes the relationship between GDP (gross domestic product), carbon dioxide emissions from the consumption of energy, total renewable electricity consumption, dry natural gas consumption, and total petroleum consumption (all variables are in per capita terms) for Peru during 1980–2011. The Autoregressive Distributed Lag (ARDL) methodology was used to test a cointegration relationship, and the Granger causality test, based on the vector error correction model (VECM), was used to test for causality. An innovative criterion proposed by Narayan and Narayan (2010) was employed to test the Environmental Kuznets Curve (EKC) hypothesis. The study does not support an inverted U-shaped EKC relationship. For this reason, it is urgent that Peru designs environmental policies that minimize the emission of greenhouse gases (GHG) using alternative energy sources e.g. solar, wind, hydraulics, among others. In addition, we found an unidirectional causality relationship between CO₂ emissions and their determinants.

本文分析了1980-1999年秘鲁的GDP（国内生产总值），能源消耗产生的二氧化碳排放量，可再生电力总消耗量，干燥天然气消耗量和石油总消耗量（所有变量均以人均计算）之间的关系。 2011。使用自回归分布滞后（ARDL）方法来检验协整关系，并使用基于矢量误差校正模型（VECM）的Granger因果关系检验来检验因果关系。Narayan和Narayan（2010）提出的创新标准用于检验环境库兹涅茨曲线（EKC）假设。该研究不支持倒U型EKC关系。为此原因，迫切需要秘鲁制定环境政策，以使用替代能源（例如太阳能，风能，水力发电等）来最大程度地减少温室气体（GHG）的排放。此外，我们发现了CO之间的单向因果关系₂排放及其决定因素。