Spatio-temporal characteristics and influencing factors of container terminals efficiency in the Yangtze River Delta

Shilin YE; Ziran JIANG; Xinhua QI

doi:10.11821/dlyj020190737

Journals >Geographical Research >Volume 39 >Issue 8 >Page 1782 > Article

Geographical Research
Vol. 39, Issue 8, 1782 (2020)

Spatio-temporal characteristics and influencing factors of container terminals efficiency in the Yangtze River Delta

Shilin YE^1、2、3, Ziran JIANG^4、*, and Xinhua QI²

Author Affiliations

¹Key Laboratory for Humid Subtropical Eco-geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou 350007, China

²School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China

³Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

⁴School of Economics and Management, Zhejiang Normal University, Jinhua 321004, Zhejiang, China

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DOI: 10.11821/dlyj020190737 Cite this Article

Shilin YE, Ziran JIANG, Xinhua QI. Spatio-temporal characteristics and influencing factors of container terminals efficiency in the Yangtze River Delta[J]. Geographical Research, 2020, 39(8): 1782 Copy Citation Text

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Fig. 1. Distribution of sample terminals

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Fig. 2. Dynamics of comprehensive technical efficiency and its decomposition of container terminals

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Fig. 3. Correlations between comprehensive technical efficiency and its decomposition of container terminals

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Fig. 4. Variation coefficient of comprehensive technical efficiency of container terminals in the Yangtze River Delta

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Fig. 5. Dynamics of comprehensive technical efficiency and its decomposition of coastal and riverside container terminals

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指标	产出	投入
指标	集装箱吞吐量(TEU)	码头长度(m)	桥吊数量(台)	轮胎吊数量(台)	在岗职工人数(人)
最大值	8900088	3000	60	140	1110
最小值	221045	300	3	4	252
均值	3008600.90	1345.27	15.54	43.21	596.61
标准差	2198505.84	717.95	9.960	28.43	222.24

Table 1. The descriptive statistical characteristics of input and output variables

集装箱码头	2008年	2009年	2010年	2011年	2012年	2013年	2014年	2015年	2016年	2017年
连云港新东方	0.584	0.561	0.683	0.829	0.878	1.150	0.794	1.048	1.003	0.792
南京龙潭	0.451	0.427	0.474	0.559	0.572	0.644	0.660	0.585	0.609	0.630
南通港	0.453	0.408	0.423	0.437	0.444	0.449	0.465	0.462	0.466	0.483
张家港永嘉	0.466	0.496	0.471	0.594	0.559	0.773	0.545	0.495	0.496	0.515
太仓国际	0.339	0.324	0.424	0.385	0.374	0.385	0.392	0.391	0.383	0.385
扬州远扬	0.442	0.434	0.491	0.461	0.390	0.385	0.397	0.411	0.376	0.387
上海浦东	0.647	0.519	0.549	0.540	0.502	0.518	0.543	0.562	0.571	0.594
上港振东	0.650	0.568	0.621	0.617	0.628	0.653	0.698	0.764	0.638	0.656
上海沪东	0.554	0.553	0.568	0.597	0.542	0.551	0.569	0.598	0.603	0.636
上海明东	0.582	0.569	0.624	0.535	0.356	0.476	0.514	0.548	0.569	0.624
上海盛东	0.437	0.372	0.451	0.429	0.580	0.582	0.616	0.621	0.630	0.685
上海冠东	0.291	0.356	0.459	0.584	0.625	0.627	0.655	0.658	0.666	0.717
宁波北仑	0.507	0.462	0.515	0.516	0.509	0.469	0.495	0.503	0.500	0.610
宁波北二	0.593	0.542	0.579	0.549	0.583	0.610	0.553	0.494	0.518	0.508
宁波大榭	0.319	0.335	0.398	0.422	0.446	0.449	0.500	0.515	0.460	0.492

Table 2. Dynamics of comprehensive technical efficiency of container terminals in the Yangtze River Delta

变量	回归系数	标准误差	Z统计量	P值
X₁	0.385	0.090	4.268	0.000^***
X₂	0.015	0.064	0.240	0.810
X₃	0.030	0.080	0.379	0.705
X₄	0.091	0.050	1.811	0.070^*
X₅	-0.048	0.134	-0.359	0.720
X₆	-0.039	0.113	-0.342	0.733
X₇	0.187	0.063	2.972	0.003^***
c	-0.030	0.077	-0.383	0.701
对数似然值	89.165

Table 3. Regression analysis result of factors affecting container terminals efficiency in the Yangtze River Delta

Shilin YE, Ziran JIANG, Xinhua QI. Spatio-temporal characteristics and influencing factors of container terminals efficiency in the Yangtze River Delta[J]. Geographical Research, 2020, 39(8): 1782

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