Using the extended STIRPAT model, this research examines the influence of various factors on US carbon emission from 1960 to 2019, including nuclear and alternative energy of total, fossil energy of total, GDP per capita, total population, urban population of total and merchandise trade of GDP. Ridge regression was used to perform the study. The research results show the significant of all factors on carbon emission. The estimated elastic coefficients reveal the most important factor influencing carbon emission is merchandise trade of GDP. GDP per capita has negative impact on carbon emission. Nuclear and alternative energy of total, urban population of total are also prominent influencing factors, while the other factors such as total population and fossil energy of total have less significant impact on carbon emission in US. These findings of this research will be of great significance for US to control its carbon emission in the future and to mitigate the global warming to some extent.

本研究使用扩展的STIRPAT模型，研究了1960年至2019年期间各种因素对美国碳排放的影响，包括核能和替代能源总量，化石能源总量，人均GDP，总人口，城市人口总数和商品贸易GDP。使用Ridge回归进行研究。研究结果表明所有影响碳排放的因素都具有重要意义。估计的弹性系数表明，影响碳排放的最重要因素是GDP的商品贸易。人均GDP对碳排放有负面影响。核能和替代能源，城市总人口也是主要的影响因素，而其他因素，例如总人口和总化石能源对美国的碳排放影响较小。