作　　者： ;

机构地区： 哈尔滨工业大学

出　　处： 《地域研究与开发》 2020年第1期127-132,151,共7页

摘　　要： 基于EDGAR数据,通过传统数理方法和GIS技术相结合,分析广东省市域碳排放的时序过程演化和空间差异特征,在构建地理加权回归模型基础上分析其影响因素。结果表明:广东市域间碳排放的绝对差异呈上升趋势,相对差异变化不大,低于平均水平的城市占大多数且为增加的趋势,城市碳排放集聚性不断减弱;碳排放空间格局相对稳定,高碳排放区域集聚在珠三角发达城市,整体空间格局表现为倒“U”型和北低南高,且东西向和南北向的差距均有缩小趋势;碳排放的影响因子存在空间异质性,经济因素对碳排放影响较大的城市集中在粤西落后地区,人口对城市碳排放的影响较为稳定,技术对碳排放抑制作用比较明显且这种作用表现为从西部逐渐向东部递减的趋势,同时发现存在能源回弹效应,需要优化各城市经济发展方式和调整产业结构。 Based on EDGAR data,this paper analyzes the sequential process evolution and spatial difference characteristics of carbon emissions in urban areas of Guangdong Province by combining traditional mathematical methods with GIS technology,and constructs a geographically weighted regression model to analyze its influencing factors.The results show that the absolute difference of carbon emissions between urban areas in Guangdong shows an increasing trend,and the relative differences do not change much.The cities below the average level account for the majority and show an increasing trend,and the urban carbon emission agglomeration continues to weaken;The spatial pattern of carbon emission is relatively stable,and the high-carbon emission areas are concentrated in the developed cities of the Pearl River Delta.The overall spatial pattern represents as inverted U-shaped and is higher in the north and lower in the south.The gap between east-west and north-south direction has the narrowed trend;The impact factors of carbon emissions exist spatial heterogeneous.The cities with large economic impacts on carbon emissions are concentrated in the backward areas of western Guangdong.The impact of population on urban carbon emissions is relatively stable.The inhibition effect of technology on carbon emission is relatively obvious and the regression coefficient is decreasing from the west to the east.At the same time,it is found that there is an energy rebound effect,which is necessary to optimize the economic development mode of each city and adjust the industrial structure.

关 键 词： 城市碳排放 时空分异特征 影响因素 数据 广东省

领　　域： []