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Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses

机译:人口,年龄结构和城市化对碳排放量/能源消耗的影响:宏观,跨国分析的证据

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摘要

This review summarizes the evidence from cross-country, macro-level studies on the way demographic factors and processes-specifically, population, age structure, household size, urbanization, and population density-influence carbon emissions and energy consumption. Analyses employing time-variant data have produced great variance in population elasticity estimations-sometimes significantly greater than one, sometimes significantly less than one; whereas, cross-sectional analyses typically have estimated population elasticities near one. Studies that have considered age structure typically have used standard World Bank definitions and mostly have found those variables to be insignificant. However, when researchers have considered levels of disaggregation that approximate life-cycle behavior like family size, they have uncovered relationships that are complex and nonlinear. Average household size has a negative relationship with road energy use and aggregate carbon emissions. Urbanization appears positively associated with energy consumption and carbon emissions. Higher population density is associated with lower levels of energy consumption and emissions.
机译:这篇综述总结了来自跨国,宏观研究的证据,这些研究涉及人口统计学因素和过程的方式,特别是人口,年龄结构,家庭规模,城市化以及人口密度对碳排放和能源消耗的影响。使用时变数据进行的分析在总体弹性估计中产生了很大的差异,有时显着大于1,有时显着小于1。而横断面分析通常估计的人口弹性接近于一。考虑了年龄结构的研究通常使用世界银行的标准定义,并且大多数发现这些变量无关紧要。但是,当研究人员考虑到近似生命周期行为(例如家庭规模)的分解水平时,他们发现了复杂而非线性的关系。家庭平均规模与道路能源使用和碳排放总量负相关。城市化似乎与能源消耗和碳排放呈正相关。人口密度越高,能耗和排放水平越低。

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