中国沿海地区海洋经济效率时空演化特征——基于三阶段超效率SBM-Global和三阶段Malmquist的分析
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摘要
基于考虑非期望产出的三阶段超效率SBM-Global模型和三阶段Malmquist生产率指数模型,对我国沿海除港澳台地区以外的11个省份2004—2015年海洋经济效率进行测算和时空对比分析。结果表明:与一阶段相比,三阶段海洋经济相对效率整体上升,各省份海洋经济效率排名波动较大,各地区海洋经济效率相对差异和绝对差异逐渐缩小;空间格局分布上,由河北省一枝独秀发展为环渤海、长三角、珠三角三足鼎立。与一阶段相比,三阶段全要素生产率(TFP)整体上升,TFP增长省份不断增多,全国TFP总体不断提高,增速不断加快;空间分布格局上,"低低"型在2008年后消失,后期以"高高"型和"低高"型为主。
Based on the three-stage super-efficiency SBM-Global model considering unexpected output and the three-stage Malmquist production index model considering unexpected output,the marine economic efficiency of 11 coastal provinces in China from 2004 to 2015 was measured and compared in time and space. The results show that the relative efficiency of marine economy in third stage has increased as a whole,the ranking of marine economic efficiency in each province fluctuates greatly,and the relative and absolute differences of marine economic efficiency in different regions gradually narrow. In the spatial pattern distribution,it turned from an outstanding branch of Hebei to a tripod of the Bohai Sea Rim,the Yangtze River Delta and the Pearl River Delta. Compared with the first stage,the total factor productivity( TFP) in three stages has risen as a whole,and the TFP growth provinces have increased continuously,and the overall TFP growth rate in the whole country has been continuously improved and accelerated. In the spatial distribution pattern,the "low-low"type disappeared after 2008,and the "high-high"type and the "low-high"type are the main types in the later stage.
Based on the three-stage super-efficiency SBM-Global model considering unexpected output and the three-stage Malmquist production index model considering unexpected output,the marine economic efficiency of 11 coastal provinces in China from 2004 to 2015 was measured and compared in time and space. The results show that the relative efficiency of marine economy in third stage has increased as a whole,the ranking of marine economic efficiency in each province fluctuates greatly,and the relative and absolute differences of marine economic efficiency in different regions gradually narrow. In the spatial pattern distribution,it turned from an outstanding branch of Hebei to a tripod of the Bohai Sea Rim,the Yangtze River Delta and the Pearl River Delta. Compared with the first stage,the total factor productivity( TFP) in three stages has risen as a whole,and the TFP growth provinces have increased continuously,and the overall TFP growth rate in the whole country has been continuously improved and accelerated. In the spatial distribution pattern,the "low-low"type disappeared after 2008,and the "high-high"type and the "low-high"type are the main types in the later stage.
引文
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[2]王泽宇,远芳,徐静,等.海洋资源空间异质性测度及其与海洋经济发展的关系[J].地域研究与开发,2018,37(3):17-22.
[3]柯丽娜,阴曙升,武红庆,等.基于集对分析的辽宁沿海经济带海域集约利用研究[J].地域研究与开发,2018,37(4):48-53.
[4] TINGLEY D,PASCOE S,COGLAN L. Factors Affecting Technical Efficiency in Fisheries:Stochastic Production Frontier versus Data Envelopment Analysis Approaches[J]. Fisheries Research,2005,73(3):363-376.
[5] ODECK J,BRATHEN S. A Meta-analysis of DEA and SFA Studies of the Technical Efficiency of Seaports:A Comparison of Fixed and Random-effects Regression Models[J]. Transportation Research Part A:Policy and Practice,2012,46(10):1574-1585.
[6]李淑娟,周珊.滨海城市旅游发展效率时空分异与驱动因素研究——以山东半岛蓝色经济区为例[J].中国海洋大学学报(社会科学版),2015,34(4):8-15.
[7]赵林,张宇硕,焦新颖,等.基于SBM和Malmquist生产率指数的中国海洋经济效率评价研究[J].资源科学,2016,38(3):461-475.
[8] FRIED H O,LOVELL C A K,SCHMIDT S S,et al. Accounting for Environmental Effects and Statistical Noisein Data Envelopment Analysis[J]. Journal of Productivity Analysis,2002,17(1/2):157-174.
[9] TIMMER C P. Using A Probabilistic Frontier Production Function to Measure Technical Efficiency[J]. Journal of Political Economy,1971,79(4):776-794.
[10]徐妍.基于三阶段DEA模型的新疆工业创新效率及其区域差异[J].地域研究与开发,2016,35(1):82-86,114.
[11] FARE R,GRSOSSKOPF S,NORRIS M,et al. Productivity Growth,Technical Progress,and Efficiency Change in Industrialized Countries[J]. American Economic Review,1994,84(1):66-83.
[12]郭建科,邓昭,许妍,等.中国海洋产业就业结构变化及其影响因素[J].地域研究与开发,2018,37(2):36-40,57.
[13]马占新.数据包络分析方法在中国经济管理中的应用进展[J].管理学报,2010,7(5):785-789.