中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2022, Vol. 41 ›› Issue (12): 56-61.DOI: 10.3969/j.issn.1674-0696.2022.12.08

• 交通+大数据人工智能 • 上一篇    下一篇

基于DEA博弈交叉效率—SDM模型的江苏省沿江八市港口效率研究

蒋惠园,丁建军   

  1. (武汉理工大学 交通学院,湖北 武汉 430063)
  • 收稿日期:2021-06-23 修回日期:2021-09-05 发布日期:2023-01-16
  • 作者简介:蒋惠园(1965—),女,安徽无为人,教授,博士生导师,主要从事交通运输经济、交通运输规划和物流及区域经济规划方面的研究。E-mail:jianghuiyuanpanh@163.com
  • 基金资助:
    交通运输部软科学研究项目(2015-332-811-270);长江中游城市群港口协同发展研究(19YJA630069)

Port Efficiency of Eight Cities along the Yangtze River in Jiangsu Province Based on DEA Game Cross Efficiency—SDM model

JIANG Huiyuan, DING Jianjun   

  1. (School of Transportation, Wuhan University of Technology, Wuhan 430063, Hubei, China)
  • Received:2021-06-23 Revised:2021-09-05 Published:2023-01-16

摘要: 江苏省沿江八市港口是长三角地区的重要运输节点,其港口效率的高低具有重要的研究意义。依据港口背景及数据统计情况,通过因子分析法得出经济投入、基础设施建设和联运设施建设3个投入指标;再运用DEA博弈交叉效率模型对港口效率进行测度,并分析其时空特征;最后运用空间杜宾模型对港口效率与影响因素之间的空间效应做进一步分析。效率测度研究结果表明:2012—2019年江苏省沿江八市的港口效率值在时间上呈现波动发展,总体呈上升趋势;在空间上呈现中间高,两边低的特性。由全局空间自相关分析得出:港口效率存在显著的空间负相关性。由空间杜宾模型分析结果表明:沿江八市港口效率与经济资源投入及联运设施建设呈正相关,与港口基础设施及周边港口效率呈负相关。

关键词: 交通运输工程;博弈交叉效率;港口效率;空间杜宾模型;因子分析

Abstract: The eight cities along the Yangtze River in Jiangsu province are important transportation nodes in the Yangtze River Delta, and their port efficiency has important research significance. According to the port background and data statistics, the factor analysis method was used to obtain three input indicators, including economic input, infrastructure construction and intermodal facility construction. And then the DEA game cross efficiency model was used to measure the port efficiency and analyze its space-time characteristics. Finally, spatial Durbin model (SDM) was used to furtherly analyze the spatial effect between port efficiency and influencing factors. The efficiency measurement research results show that the efficiency values of the eight ports along the Yangtze River in Jiangsu province from 2012 to 2019 fluctuate in time, with an overall upward trend; spatially, they are high in the middle and low on both sides. Global spatial autocorrelation analysis shows that the port efficiency has a significantly negative spatial correlation. The SDM analysis results show that the port efficiency of the eight cities along the river is positively correlated with the input of economic resources and the construction of intermodal facilities, and negatively correlated with the port infrastructure and the efficiency of surrounding ports.

Key words: traffic and transportation engineering; game cross efficiency; port efficiency; SDM; factor analysis

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