| 摘要: |
| 区域间的空间溢出和技术溢出效应日益显著，在进行能源强度收敛研究时不可忽略空间依赖性和时间动态性。在考虑空间维度的地理邻近性和时间维度的动态性的基础上，采用动态空间面板模型分析中国29个省区能源强度的空间分布、动态变化趋势以及收敛情况，研究表明：从中国能源强度的空间分布来看，呈现东低西高的格局，并且存在空间自相关现象；从动态趋势看，能源强度的空间自相关指数在2005年之后趋于稳定，东、中、西部的能源强度均呈现持续下降的趋势；从总体趋势来看，能源强度存在绝对σ收敛，不存在绝对β收敛，但存在显著的条件β收敛。提高能源效率以及缩小区域能源效率差异，应充分利用空间溢出效应，鼓励能源强度低的地区的技术溢出到能源强度高的地区，从而加快全国区域间能源强度的收敛速度。 |
| 关键词: 能源强度 能源效率 收敛性 收敛速度 空间自相关 空间溢出效应 技术溢出效应 Moran指数 空间依赖性 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Study on Spatial Distribution and Convergence of China’s Energy Intensity—Analysis Based on Dynamic Spatial Panel Model |
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JIANG Lei1, 2，BAI Ling21,2
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1. Department of Economic Geography, Faculty of Spatial Sciences, University of Groningen, 9747 AD,Groningen, The Netherlands;2.The Key Lab of Geographic Information Science of Chinese Ministry of Education, East China Normal University, Shanghai 200241,
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| Abstract: |
| The effect of spatial spillover and technical spillover between regions is increasing daily, and the study on energy intensity convergence should not overlook spatial dependence and time dynamics. Based on considering the geographic neighborhood of spatial dimension and the dynamics of time-dimension, this paper uses dynamic spatial panel model to analyze the spatial distribution, dynamic change trends and convergence of the energy intensity in 29 provinces and municipalities of China, and the research shows that the spatial distribution of energy intensity of China demonstrates the pattern with low intensity in the east and high intensity in the west and has spatial autocorrelation phenomenon, that the dynamic trends indicates that the spatial autocorrelation index of energy intensity is inclined to be stable after 2005, that the energy intensity in the east, in the middle area and in the west of China demonstrates declining trend, that in overall trend, there is an obviously absoluteσconvergence and no absoluteβconvergence but there is a significant conditionalβconvergence. In order to raise energy efficiency to shrink regional energy efficiency gap, China should sufficiently make use of spatial spillover effect, encourage the technical spillover from the regions with low energy intensity to the areas with high energy intensity so that the convergence speed of energy intensity between regions of China can be accelerated. |
| Key words: energy intensity energy efficiency convergence convergence speed spatial autocorrelation spatial spillover effect technical spillover effect Moran index spatial dependence |
