|
|
Efficiency Research on SpatialTemporal Differentiation of Innovation and Transformation of City Group from the Perspective of Coordination |
Wei Huai'an,Ping Xian |
(Collage of Public Administration, Huazhong University of Science and Technology, Wuhan, 430070, China) |
|
|
Abstract The collaborative development pattern of city group has a tremendous impact on the innovation and the transformation of the urban centers and other member cities. Taking the Wuhan city circle as an example, calculating the efficiency of the two stages of the innovation and transformation of nine cities in the Wuhan city circle during 20072016 based on the twophase DEA model. The study finds that the spatialtemporal differentiation of twostage efficiency in Wuhan Metropolitan Area is clear, and the efficiency gap between member cities and central cities shows a narrowing and then expansion trend, which restricts the improvement of the overall efficiency of all. Accordingly, it is proposed that in the process of the development of city groups in the future, attention should be paid to strengthening the effectiveness of coordination policies, optimizing the distribution of scientific and technological resources among central cities and member cities, and rationally planning the spatial layout of the development of the central cities, and promoting regional development. The overall improvement of scientific and innovation and transformation efficiency.
|
Received: 24 January 2019
|
|
|
|
|
[1] 中国科学技术发展战略研究院.国家创新指数报告(2016-2017)图解[EB/OL].http://www.casted.org.cn/channel/newsinfo/6336, 2017-8-18.[2] 中华人民共和国科学技术部.国家创新指数报告(2016-2017) [EB/OL].http://www.most.gov.cn/cxdc/cxdcpjbg/201710/P020171027321781250072.pdf,2018-6-7.[3] 樊华,周德群.中国省域科技创新效率演化及其影响因素研究[J].科研管理,2012,33(1):10-18,26.[4] 刘杰,谭清美.科技投入产出效率评价模型的改进研究——以江苏省为例[J].科学管理研究,2011,29(1):106-109.[5] 王双进,李新刚.京津冀高技术产业R&D活动效率测度[J].科技进步与对策,2018,35(5):52-59.[6] 刘亮.区域协同背景下长三角科技创新协同发展战略思路研究[J].上海经济,2017(4):75-81.[7] 睢党臣,董玉迪.中国新丝绸之路经济带科技效率的测度及分解——基于DEA-Malmquist指数的方法[J].地域研究与开发,2015,34(5):19-23.[8] 岳海鸥,张彦奇,吕芳芳,等.山东省会城市群经济圈科技投入与产出评价体系研究[J].中国科技资源导刊,2016,48(5):19-26.[9] BERGERAN,HUMPHREYDB. Efficiency of financial institutions: international survey and directions for future research[J]. European Journal of Operational Research,1997,98(2): 175-212.[10] HOLLINGSWORTHB.The measurement of efficiency and productivity of health service delivery[J]. Health Economics,2008,17(10): 1107-1128.[11] MAHDILOOM,SAENRF,LEEK. Technical, environmental and eco-efficiency measurement for supplier selection: an extension and application of data envelopment analysis[J]. International Journal of Production Economics,2015,168:279-289.[12] 李涛.资源约束下中国碳减排与经济增长的双赢绩效研究——基于非径向DEA方法RAM模型的测度[J].经济学(季刊),2013,12(2):667-692.[13] 何砚,赵弘.京津冀城市可持续发展效率动态测评及比较研究——基于超效率CCR-DEA模型和Malmquist指数的度量[J].工业技术经济,2017,36(11):29-36.[14] 徐巧玲.科技投入产出的相对效率评价研究——基于DEA的BCC模型与SE-CCR模型的分析[J].科技管理研究,2014,34(1):66-70.[15] 陈国生,杨凤鸣,陈晓亮,等.基于Bootstrap-DEA方法的中国科技资源配置效率空间差异研究[J].经济地理,2014,34(11):36-42.[16] 李娟,李建强,吉中贵,等.基于超DEA模型的成都市城市土地利用效率评价[J].资源与产业,2010,12(2):40-45.[17] 张建清,张岚,王嵩,等.基于DPSIR-DEA模型的区域可持续发展效率测度及分析[J].中国人口·资源与环境,2017,27(11):1-9.[18] 冯志军,陈伟.中国高技术产业研发创新效率研究——基于资源约束型两阶段DEA模型的新视角[J].系统工程理论与实践,2014,34(5):1202-1212.[19] 乔元波,王砚羽.基于三阶段DEA-Windows分析的中国省域创新效率评价[J].科学学与科学技术管理,2017,38(1):88-97.[20] 龚锋.地方公共安全服务供给效率评估——基于四阶段DEA和Bootstrapped DEA的实证研究[J].管理世界,2008(4):80-90.[21] 毛良虎,姜莹.长江经济带区域创新效率及空间差异研究[J].华东经济管理,2016,30(8):73-78.[22] CHARNESA,COOPER WW ,RHODESE. Measuring efficiency of decision-making units[J]. European Journal of Operational Research,1978,2(6):429-444.[23] 徐蒙,王文亮,沙德春.基于灰色DEA模型的河南省科技创新投入产出效率研究[J].河南科学,2018,36(1):118-123.[24] 刘志华,李林,姜郁文.我国区域科技协同创新绩效评价模型及实证研究[J].管理学报,2014,11(06):861-868.[25] GUNNARM,PAULAM,VANP.Economic theory and under-developedregions[J].InternationalAffairs,1971,34(3):361. |
|
|
|