江汉大学学报(自然科学版) ›› 2020, Vol. 48 ›› Issue (5): 21-35.doi: 10.16389/j.cnki.cn42-1737/n.2020.05.003

• 数学 • 上一篇    下一篇

基于三阶段DEA-windows和空间相关的长江经济带创新效率时空特征研究

卢小兰1,张可意2   

  1. 1. 江汉大学 商学院,湖北 武汉 430056;2. 华中师范大学 数学与统计学学院,湖北 武汉 430079
  • 发布日期:2020-09-22
  • 作者简介:卢小兰(1972— ),女,副教授,博士,研究方向:经济应用统计。

Research on Time-Space Characteristics of Innovation Efficiency in Yangtze River Economic Belt Based on Three-Stage DEA-windows and Spatial Correlation

LU Xiaolan1,ZHANG Keyi2   

  1. 1. School of Business,Jianghan University,Wuhan 430056,Hubei,China;2. School of Mathematics and Statistics,Central China Normal University,Wuhan 430079,Hubei,China
  • Published:2020-09-22
  • Supported by:
    教育部人文社会科学基金青年项目(17YJC790153)

摘要: 运用三阶段DEA-windows和空间统计方法,测算2006-2017年长江经济带创新效率,分析长江经济带各省市及上中下游地区创新效率的时空特征。研究表明:在剔除管理无效率和随机扰动前后,11省市均未实现DEA有效,创新效率的时空间差异均明显;调整后长江经济带综合效率和规模效率均值较调整前明显更小,纯技术效率均值更高;长江经济带综合效率和规模效率随时间单调上升,纯技术效率随时间波动不大,综合效率不高主要由规模效率非有效导致;长江经济带综合效率及规模效率的空间差异和空间正相关明显,但这种空间特点均有所减弱,纯技术效率的空间差异和空间相关均不明显;调整后长江经济带创新效率呈现由东向西递减态势,区别于调整前中游地区为创新“洼地”的特点;此外,环境变量对3 种投入冗余的影响基本一致,表现为环境规制、财政支持和教育水平的加强有利于提升创新效率,经济条件、研发规模和产业结构的提升可能导致投入的冗余。

关键词: 长江经济带, 创新效率, 三阶段DEA-windows, 空间相关

Abstract: Using the three-stage DEA-windows and spatial statistical analysis methods,the innovation efficiency of the Yangtze River Economic Belt from 2006 to 2017 was measured,and the time-space characteristics of the innovation efficiency of the provinces and cities in the Yangtze River Economic Belt and the upper,middle and lower reaches of the Yangtze River Economic Belt were analyzed. The results show that before and after excluding management inefficiencies and random disturbances,11 provinces and cities have not achieved DEA effectiveness, and the temporal and spatial differences in innovation efficiency are obvious. After the adjustment,the average values of innovation comprehensive efficiency and innovation scale efficiency of the Yangtze Economic Belt are significantly smaller than before the adjustment,and the average values of pure technical efficiency are higher. The comprehensive efficiency and scale efficiency of the Yangtze River Economic Belt increase monotonously with time,while the pure technical efficiency does not fluctuate much with time,and the low comprehensive efficiency of innovation is mainly caused by the ineffective scale efficiency. The spatial difference and spatial positive correlation of the comprehensive efficiency and scale efficiency of the Yangtze River Economic Belt are obvious,but these spatial characteristics are gradually weakened. Meanwhile,the spatial difference and spatial correlation of the pure technical efficiency are not obvious. After the adjustment,the innovation efficiency of the Yangtze River Economic Belt shows a decreasing trend from east to west,which is different from that of the middle reaches of the Yangtze River with the lowest innovation efficiency before the adjustment. Also,the impact of environmental variables on the redundancy of three inputs is basically the same,which shows that the enhancement of environmental regulation,financial support,and education level is conducive to the improvement of innovation efficiency,while the improvement of economic conditions,R&D scale,and industrial structure may lead to the redundancy of inputs.

Key words: Yangtze River Economic Belt, innovation efficiency, three-stage DEAwindows, spatial correlation

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