摘要：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，并分析生活能源消费碳排放的影响因素。视角对省域居民能源消费及其影响因素进行了空间计量分析。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-高和低-低集聚；人口规模是影响居民能源消费最重要的影响因素，控制城镇人口规模的增长速度是降低居民能源消费的关键；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的增长速度、降低能源消费强度、引导和改善居民消费结构不断升级。

Abstract: Based on 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: 1.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;2. The population scale is the most important factor influencing residential energy consumption and controlling the growth speed of urban population scale is the key to reduce the residential energy consumption;3. From the current effect, the direct and total effects of variables on residential energy consumption are significantly positive. Therefore, reducing the energy consumption and carbon emissions need to control the growth rate of population scale, reduce the energy consumption intensity, guide and improve the residents' consumption structure.