Regional disaggregation of energy consumption target: The case of Henan province

Abstract

An approach to determine energy consumption control target allocation based on analytic hierarchy process, Ward's clustering algorithm, and differential adjustment method is proposed in this study. A case study of the allocation of control targets in Henan by 2020 is then conducted via the proposed method. The results show that: The per capita added value of the secondary industry is the primary factor for the increasing carbon emissions in provinces. Regions with high cardinality of energy consumption have to shoulder the largest reduction, whereas regions with low energy intensity and poor economic conditions met the minimum requirements for energy consumption in 2020.