中国物流业碳排放的空间非均衡与极化研究

发布时间：2018-05-21 00:33

本文选题：物流业 + 碳排放　；参考：《社会科学辑刊》2015年01期

【摘要】：中国物流业碳排放总体地区差距呈下降趋势,2006年后呈缓慢上升趋势,其中,地区间净差距是总体差距的主要来源,其次为超变密度,地区内差距的贡献最小。物流碳排放的极化测度结果表明,中国物流碳排放分布的极化程度呈下降趋势。地区内的集聚程度和地区间的对抗程度不断减弱,最终成为碳排放极化程度下降的主要来源。一方面,各地区物流业碳排放水平的不断上升说明目前中国物流业仍处于粗放式增长,在物流产值和周转量增加的同时,忽视了碳排放这一必然副产品也随之增加的事实,这一现实提醒我们有必要根据自身物流业所处的发展阶段制定相应的碳减排措施;另一方面,中央及各地方政府在制定物流发展规划和相应的碳减排措施时,要充分考虑到中国各地区物流业发展的实际情况和地域特征,制定差异化的策略,使物流业碳减排和稳定发展相协调。
[Abstract]:The overall regional gap of carbon emissions in China's logistics industry shows a downward trend. After 2006, the regional net gap is the main source of the overall gap, followed by the super-variable density, and the contribution of intra-regional gap is the least. The polarization measurement results of logistics carbon emissions show that the polarization degree of logistics carbon emissions distribution in China is decreasing. The degree of regional agglomeration and the degree of confrontation between regions are weakening, and finally become the main source of the decrease of carbon emission polarization. On the one hand, the rising level of carbon emissions in the logistics industry in various regions shows that the logistics industry in China is still in extensive growth at present. While the value of logistics output and turnover is increasing, it ignores the fact that carbon emissions, an inevitable by-product, are also increasing. This reality reminds us that it is necessary to formulate corresponding carbon emission reduction measures according to the stage of development of our logistics industry. On the other hand, when the central and local governments formulate logistics development plans and corresponding carbon abatement measures, It is necessary to take into account the actual situation and regional characteristics of the development of logistics industry in various regions of China and formulate the strategy of differentiation so that the carbon emission reduction and stable development of the logistics industry can be coordinated.
【作者单位】：东北财经大学管理科学与工程学院;东北财经大学数学与数量经济学院;
【基金】：国家自然科学基金项目(71171035) 国家社会科学基金项目(14CGL040) 教育部人文社科研究项目(13YJC790185;13YJC790023) 辽宁省科学事业公益研究基金项目(2014003023) 辽宁社会科学基金项目(L14CLY043)
【分类号】：F259.2;F205

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