Abstract：
The research investigates the relationship between intelligence quotient (IQ) and environmental degradation, aiming to understand how cognitive abilities influence environmental outcomes across different nations and time periods. The objective is to examine the impact of intelligence quotient (IQ) on environmental indicators such as carbon emissions, ecological demand, and the Environmental Kuznets Curve (EKC), seeking insights to inform environmental policy and stewardship. The study utilizes statistical techniques including Ordinary Least Squares (OLS), Two Stage Least Squares (2SLS), and Iteratively Weighted Least Squares (IWLS) to analyze data from 147 nations over the years 2000-2017. These methods are applied to explore the relationship between IQ and environmental metrics while considering other relevant variables. The findings reveal unexpected positive associations between human intelligence quotient and carbon emissions, as well as ecological demand, challenging conventional notions of \"delay discounting.\" Additionally, variations in the Environmental Kuznets Curve (EKC) hypothesis are identified across different pollutants, highlighting the roles of governance and international commitments in mitigating emissions. The study concludes by advocating for the adoption of a \"delay discounting culture\" to address environmental challenges effectively. It underscores the complex interactions between intelligence, governance, and population dynamics in shaping environmental outcomes, emphasizing the need for targeted policies to achieve sustainability objectives.
摘要：
该研究调查了智商（IQ）与环境退化之间的关系，旨在了解认知能力如何影响不同国家和时间段的环境结果。目的是研究智商（IQ）对碳排放等环境指标的影响，生态需求,和环境库兹涅茨曲线(EKC)，寻求洞察力，为环境政策和管理提供信息。这项研究利用统计技术，包括普通最小二乘(OLS)，两阶段最小二乘(2SLS)，和迭代加权最小二乘(IWLS)分析来自147个国家2000-2017年的数据。这些方法用于探索智商与环境指标之间的关系，同时考虑其他相关变量。这些发现揭示了人类智商和碳排放之间意想不到的正相关，以及生态需求，挑战传统的“延迟折扣”概念。\"此外，在不同的污染物中识别出环境库兹涅茨曲线(EKC)假设的变化，强调治理和国际承诺在减少排放方面的作用。该研究最后主张采用“延迟折扣文化”来有效应对环境挑战。它强调了智力之间复杂的相互作用，治理，以及塑造环境结果的人口动态，强调需要有针对性的政策来实现可持续发展目标。
