本文基于2008-2012年中国30个省域为研究对象,从Bayes空间计量的角度研究省域之间生活能源消费的空间效应,并分析不同因素对居民生活能源消费的影响。研究结果表明:中国省域居民能源消费存在显著的空间自相关,多数省域的居民能源消费在空间上呈现高一高和低一低集聚;人口规模是影响居民能源消费最重要的影响因素,其次是居民消费支出和能源消费强度;从当期效应来看,各变量对居民能源消费的直接效应和总效应均显著为正,因此,降低能源消费需要控制人口规模向城市转移的增长速度、降低能源消费强度、引导和改善居民消费结构。
Based on the spatial econometric perspective ,this paper takes Chinese 30 provinces as the research object and makes a spatial econometric analysis of factors and its influence on provincial resident energy consumption. The research results show that: first, there is a significant spatial auto correlation in Chinese provincial residential energy consumption and most of residential energy consumption in space showed high - high and low - low concentration ; second, the population scale is the most important factor inflttencing residential energy consumption, followed by the residents' consumption expenditure and energy consumption intensity; third, from the current effect, the direct and total effects of variables on residential energy consumption are significantly positive. Therefore, reducing energy consumption and carbon emissions needs to control the growth rate of population scale from rural areas to cities, reduce energy consumption intensity, guide and improve residents' consumption structure.