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作 者:刘宏伟[1] 王叶青 石红娟 LIU Hongwei;WANGYeqing;SHIHongjuan(Business School,AnhuiUniversity,Hefei 230000,China)
出 处:《物流技术》2021年第11期34-39,117,共7页Logistics Technology
基 金:安徽省哲学社会科学规划项目(AHSKY2019D016)。
摘 要:采用DEA-SBM模型对珠三角创新型城市绿色创新效率进行测算。在此基础上,建立珠三角创新型城市绿色创新效率与物流业复合系统协同模型,以珠三角9个创新型城市2009-2018年绿色创新效率与物流业相关数据进行实证研究。研究表明:珠三角各创新型城市绿色创新效率与物流业协同发展水平较低,各城市复合系统协同度差异明显,原因在于珠三角创新型城市的绿色创新效率波动较大,且部分珠三角创新型城市的物流产业还处于较低的发展水平。为提高复合系统协同度,需保持稳健的创新投入、控制绿色创新的非期望产出以及加强物流业的发展。In this paper,we used the DEA-SBM model to measure the green innovation efficiency of the innovative cities in the Pearl River Delta.On this basis,a collaborative model was established to measure the green innovation efficiency and logistics industry composite system of the cities in an empirical study using the data relating to the green innovation efficiency and the logistics industry of the 9 innovative cities in the Pearl River Delta from 2009 to 2018.The result showed that the level of collaboration between the green innovation efficiency and the logistics industry of the cities is relatively low,and the degree of composite system synergy varies significantly among the cities.This is due to the fact that the green innovation efficiency of the innovative cities in the Pearl River Delta fluctuates greatly,and some of them are at quite low level in terms of logistics development.In order to improve their composite system synergy,we argued it is necessary to maintain steady investment in innovation,control the undesired output of green innovation,and strengthen the development of the logistics industry.
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