江西财经大学学报 ›› 2016, Vol. 0 ›› Issue (06): 347-.

• • 上一篇    

城市绿色创新效率实证研究——来自长江中游城市群的证据

李金滟,李泽宇,李 超   

  1. (中国地质大学 经济管理学院,湖北 武汉 430074)
  • 发布日期:2021-01-21
  • 作者简介:李金滟,中国地质大学(武汉)副教授,博士,主要从事城市与区域经济研究,联系方式ljyjan@163.com;李泽宇,中国地质大学(武汉)研究生,主要从事城市与经济学研究;李 超,中国地质大学(武汉)研究生,主要从事城市与区域经济研究。

An Empirical Analysis of Urban Green Innovation Efficiency: Evidences from the City Group along Yangtze River Middle Reaches

LI Jin-yan, LI Ze-yu, LI Chao   

  1. (China University of Geosciences, Wuhan 430074, China)
  • Published:2021-01-21

摘要: 运用带有非期望产出的SBM-DEA模型和ML指数,采用长江中游城市群28个地级市2007-2014年的数据,比较了不考虑环境污染、考虑环境污染和绿色发展三种情形下的创新效率、绿色创新全要素生产率;并通过空间误差模型对城市绿色创新影响因素进行分析。结论表明:江西、湖南多数长中游城市仍然处在创新发展的红利期,湖北大部分长中游城市已经出现边际效率下降,技术效率不足;大部分城市技术效率跟不上技术进步,单纯地追求技术进步不足以促进城市可持续发展,需要将绿色与技术创新相结合;城市交通通达程度、政府支持、城市高校数量、第三产业发展对城市绿色创新发展有积极作用。

关键词: 城市绿色创新效率,SBM-DEA模型,ML指数,空间误差模型,长江中游城市群

Abstract: Applying a SBM-DEA model with undesirable output and the ML index and adopting the data of 28 prefecture-level cities of the city group along the middle reaches of the Yangtze River during 2007-2014, this paper compares the innovation efficiency and the green innovation TFP under the three conditions, i.e., without consideration of environmental pollution, with consideration of environmental pollution, and with green development. The results indicate that most cities along Yangtze River in Jiangxi and Hunan provinces are still enjoying the benefits of innovation and development, while in most cities of Hubei province there appear such phenomena as declining marginal efficiency and lacking of technical efficiency. The technical efficiency of most cities cannot keep up with the technological progress, to simply pursue technological progress is not enough to promote urban sustainable development, which need to combine green and technology innovation. Such factors as the degree of urban transportation, the government support, the number of higher education institutions in the cities, and the development of tertiary industry can play a positive role in the green innovation development of the cities.

Key words: urban green innovation efficiency; SBM-DEA model; ML index; spatial error model; Changjiang River middle reaches megalopolis