考虑碳排放的长江经济带交通资源配置效率研究
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摘要
由于长江经济带已提升为国家发展战略,因此分析长江经济带交通资源配置是否协调均衡有重要的意义。在建立考虑碳排放指标体系的基础上,运用ML指数测度分析了长江经济带2007-2016年的交通资源配置效率,结果表明:长江经济带的资源配置效率波动,时间上来看总体呈先上升后下降的趋势,空间上来看各省市差距较大,资源配置效率值仍需提高,其中技术进步指数是制约长江经济带发展的主要因素。
In this paper, based on the establishment of a resource allocation evaluation index system that considers carbon emissions,we used the ML index to measure the traffic resources allocation efficiency of the Yangtze River Economic Belt from 2007 to 2016. The results showed that the resources allocation efficiency of the belt fluctuated over the period, generally showing the pattern of first rising and then declining; spatially, the gap between provinces and cities was considerable; the resources allocation efficiency still needed improving;and among the influence factors, the technical progress index was the main one restricting the development of the Yangtze River Economic Belt.
In this paper, based on the establishment of a resource allocation evaluation index system that considers carbon emissions,we used the ML index to measure the traffic resources allocation efficiency of the Yangtze River Economic Belt from 2007 to 2016. The results showed that the resources allocation efficiency of the belt fluctuated over the period, generally showing the pattern of first rising and then declining; spatially, the gap between provinces and cities was considerable; the resources allocation efficiency still needed improving;and among the influence factors, the technical progress index was the main one restricting the development of the Yangtze River Economic Belt.
引文
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[8]杨恺钧,毛博伟,胡菡.长江经济带物流业全要素能源效率—基于包含碳排放的SBM与GML指数模型[J].北京理工大学学报(社会科学版),2016,18(6):54-62.
[9]王白雪,郭琨.北京市公共交通碳排放效率研究—基于超效率SBM模型和ML指数[J].系统科学与数学,2018,38(4):456-467.
[10]白雪洁,戴小辉.基于DEA模型的中国主要轿车企业生产效率分析[J].财经研究,2006,(10):35-47.
[11]Chuang Y H,Fare R.Grosskopf S.productive and Undesirable Outputs:A Directional Distance Function Approach[J].Journal of Environment Management,1997,51(3):229-240.
[2]陈贻龙,邵振一.运输经济学[M].北京:人民交通出版社,1999.
[3]刘鑫,蒋惠园,冯琪,等.基于数据包络分析法的长江航运与长江经济带适应性评价[J].水运管理,2018,40(7):13-16.
[4]汪德根,孙枫.长江经济带陆路交通可达性与城镇化空间耦合协调度[J].地理科学,2018,38(7):1 089-1 097.
[5]匡银银,黄永燊.长江经济带主要运输方式比较优势及其竞争格局分析[J].物流技术,2015,34(23):67-70.
[6]杨翔,李小平,周大川.中国制造业碳生产率的差异与收敛性研究[J].数量经济技术经济研究,2015,32(12):3-20.
[7]李忠民,夏德水,姚宇.长江经济带交通基础设施效率分析—基于DEA模型的Malmqusit指数方法[J].技术经济,2014,33(7):62-68.
[8]杨恺钧,毛博伟,胡菡.长江经济带物流业全要素能源效率—基于包含碳排放的SBM与GML指数模型[J].北京理工大学学报(社会科学版),2016,18(6):54-62.
[9]王白雪,郭琨.北京市公共交通碳排放效率研究—基于超效率SBM模型和ML指数[J].系统科学与数学,2018,38(4):456-467.
[10]白雪洁,戴小辉.基于DEA模型的中国主要轿车企业生产效率分析[J].财经研究,2006,(10):35-47.
[11]Chuang Y H,Fare R.Grosskopf S.productive and Undesirable Outputs:A Directional Distance Function Approach[J].Journal of Environment Management,1997,51(3):229-240.