This paper aims at analyzing the current situation of residential energy consumption in Shandong, identifying the influence factors governing energy consumption based on the LMDI (Log Mean Divisia Index) method, and describing the decoupling relationship between residential energy consumption and residential income based on the Tapio decoupling method. The main results are as follows: (1) The residential energy consumption structures of urban and rural have become multilevel. Furthermore, the gap in per capital residential energy consumption between urban and rural regions narrowed. (2) The energy intensity had an obvious inhibitory effect on decreasing urban residential energy consumption. Per capital income and population structure increased the urban residential energy consumption over the study period. However, per capital income and energy intensity played a more significant role in promoting rural residential energy consumption. And the population structure decreased rural residential energy consumption. During the study period, the contributions from both energy consumption structure and total population effect were negligible. (3) Since 2000, the decoupling index for both urban and rural resident gradually declined, which also shows that residential energy consumption in urban and rural regions was gradually less depend on residential income.
Journal of Cleaner Production – Elsevier
Published: Sep 1, 2018
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