长江经济带渔业经济碳排放效率空间格局及影响因素研究
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摘要
基于2006～2016年长江经济带11个省(市)的面板数据,结合超效率SBM模型、 ESDA空间分析法解析渔业经济碳排放效率时空格局演变,并用Tobit面板回归实证检验其影响因素,结果表明:空间差异上,长江经济带渔业经济碳排放效率总体上不断上升,但呈现由下游向上游递减的梯度变化态势;空间自相关性上,长江经济带渔业经济碳排放效率的全局Moran's指数呈现分段变化的态势,空间依赖具有动态性,逐步过渡为L-H型和L-L型省份为主导地位的空间格局;影响因素方面,渔业经济碳排放效率与经济发展水平、科技推广力度、产业结构优化、基础设施呈正相关关系,与对外开放水平呈负相关关系。
Based on the panel data of 11 Provinces in the Yangtze River Economic Belt from 2006 to 2016,this paper analyzes the temporal and spatial pattern evolution of carbon emission efficiency of fishery economy by combining the super-efficiency SBM model and ESDA spatial analysis method,and tests the influencing factors using Tobit panel regression.The results show that:spatially,the overall carbon emission efficiency of fishery economy in the Yangtze River Economic Belt is improving,while it shows a descending gradient changes from downstream to upstream;in terms of spatial autocorrelation,the global Moran index of carbon emission efficiency of fishery economy shows a trend of sectional change,and the spatial dependence is dynamic,gradually transiting to the spatial pattern in which L-H and L-L provinces dominate;in terms of influencing factors,the carbon emission efficiency of fishery economy is positively correlated with the level of economic development,the promotion of science and technology,the optimization of industrial structure and infrastructure,and negatively correlated with the level of opening up.
Based on the panel data of 11 Provinces in the Yangtze River Economic Belt from 2006 to 2016,this paper analyzes the temporal and spatial pattern evolution of carbon emission efficiency of fishery economy by combining the super-efficiency SBM model and ESDA spatial analysis method,and tests the influencing factors using Tobit panel regression.The results show that:spatially,the overall carbon emission efficiency of fishery economy in the Yangtze River Economic Belt is improving,while it shows a descending gradient changes from downstream to upstream;in terms of spatial autocorrelation,the global Moran index of carbon emission efficiency of fishery economy shows a trend of sectional change,and the spatial dependence is dynamic,gradually transiting to the spatial pattern in which L-H and L-L provinces dominate;in terms of influencing factors,the carbon emission efficiency of fishery economy is positively correlated with the level of economic development,the promotion of science and technology,the optimization of industrial structure and infrastructure,and negatively correlated with the level of opening up.
引文
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[2]张祝利,王玮,何雅萍.我国渔船作业过程碳排放的估算[J].上海海洋大学学报,2010,19(6):848-852.
[3]许冬兰,王樱洁.我国沿海渔业碳生产率的区域差异及影响因素[J].中国农业大学学报,2015,20(2):284-290.
[4]李晨,冯伟,邵桂兰.中国省域渔业全要素碳排放效率时空分异[J].经济地理,2018,38(5):179-187.
[5]邵桂兰,侯涵涵,李晨.我国沿海地区海洋渔业碳排放时空分异研究---基于省际数据的ESDA分析[J].山东财经大学学报,2018,30(1):27-34.
[6]KENJI YAMAJI,RYUJI MATSUHASHI,YUTAKA NAGATA,et al.A Study on Economic Measures for CO2Reduction in Japan[J].Energy Policy,1993,21(2):123-132.
[7]MIELNIK O,GOLDEMBERG J.The Evolution of the Carbonization Index in Developing Countries[J].Energy Policy,1997,27(5):307-308.
[8]金书秦,陈洁.我国水产养殖的直接能耗及碳排放研究[J].中国渔业经济,2012,30(1):73-82.
[9]ANDERSEN P,PETERSEN N C.A Procedure for Ranking Efficient Units in Data Envelopment Analysis[J].Management Science,1993(39):1261-1264.