近年来,国际贸易领域碳排放影响因素的计量方法主要有描述性统计、回归分析法、情景分析法、结构分析法以及指数分解法(IDA)等几大类,而指数分解法凭借其自身优点成为当前学者研究的主流方法。文章从指数分解方法基本模型入手,在深入剖析Laspeyres指数分解法和Divisia指数分解法基础上,梳理了该方法在国际贸易碳排放中的实际应用,并对此法进行了评述。
In recent years, the measurements of carbon emissions influence factor in international trade mainly include descriptive statistics, regression analysis, scenario analysis, structure analysis and index decomposition analysis(IDA) and so on. But index decomposition analysis with its own advantages has become the mainstream of the current study methods. The article starts with the basic model of index decomposition approach, based on the deep analysis of Laspeyres index decomposition method and Divisia index decomposition method, introduces the practical application of this method in international trade carbon emissions, finally gives a review to this method.