AGGREGATION VERSUS DISAGGREGATION IN INPUT-OUTPUT ANALYSIS OF THE ENVIRONMENT
AGGREGATION VERSUS DISAGGREGATION IN INPUT-OUTPUT ANALYSIS OF THE ENVIRONMENT
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DOI：
10.1080/09535314.2010.548793
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发表时间：
2011-01-01
影响因子：
2.5
通讯作者：
Lenzen, Manfred
中科院分区：
文献类型：
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作者：
Lenzen, Manfred
对环境问题进行投入产出分析的分析员经常受到不同分类中存在的环境和投入产出数据的困扰，环境敏感部门有时被汇总到经济投入产出数据库中。原则上，有两种办法可以处理这种错位：要么必须将环境数据汇总到投入产出分类中，这会造成信息的不必要损失；要么必须根据零碎的信息对投入产出数据进行分类。在这篇文章中，我表明，在确定投入产出乘数时，即使是基于很少的真实数据点，对投入产出数据进行分解也要优于对环境数据进行汇总。如果分类的部门在其经济和环境特征方面是不同的，情况尤其如此。这项工作的结果可能有助于分析师理解，即使是基于少量代理信息的分解也可以显著提高投入产出乘数的准确性。或许，这些结果也将为在未来的工作中更倾向于模型分解而不是聚集提供鼓励。
Analysts carrying out input-output analyses of environmental issues are often plagued by environmental and input-output data existing in different classifications, with environmentally sensitive sectors sometimes being aggregated in the economic input-output database. In principle there are two alternatives for dealing with such misalignment: either environmental data have to be aggregated into the input-output classification, which entails an undesirable loss of information, or input-output data have to be disaggregated based on fragmentary information. In this article, I show that disaggregation of input-output data, even if based on few real data points, is superior to aggregating environmental data in determining input-output multipliers. This is especially true if the disaggregated sectors are heterogeneous with respect to their economic and environmental characteristics. The results of this work may help analysts in understanding that disaggregation based on even a small amount of proxy information can improve the accuracy of input-output multipliers significantly. Perhaps, these results will also provide encouragement for preferring model disaggregation to aggregation in future work.