| 长江经济带绿色创新效率时空演化趋势研究 |
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| 引用本文： | 张长江.长江经济带绿色创新效率时空演化趋势研究[J].科技管理研究,2022(6). |
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| 作者姓名： | 张长江 |
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| 作者单位： | 南京工业大学经济与管理学院 |
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| 基金项目： | 国家社科基金重点项目“基于战略协同与激励相容的高校科技创新绩效提升研究”（19AGL009） |
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| 摘 要： | 文章采用超效率SBM-DEA模型和探索性空间数据分析方法（ESDA）对2004—2018年长江经济带108个城市绿色创新效率的时空演变特征和空间相关性进行了研究。结果表明：长江经济带绿色创新效率前期呈“倒V型”发展趋势,金融危机后呈缓慢的波动上升状态,纯技术效率是影响绿色创新效率的关键因素;长江经济带上、中、下游的绿色创新效率存在差异,其中下游区域的效率水平最高,上游和中游城市的绿色创新效率均值在各年份期间交替领先;长江经济带绿色创新效率的空间格局由上游和下游高于中游的“U型分布”特征逐渐转变为“多中心分布”特征;随着时间的推进,城市间绿色创新效率的正向空间相关性愈发显著,但低效率城市聚集的规模大于高效率城市,局部两级分化现象加剧。
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| 关 键 词： | 长江经济带 绿色创新效率 超效率SBM-DEA模型 探索性空间数据分析 |
| 收稿时间： | 2021/9/3 0:00:00 |
| 修稿时间： | 2022/3/24 0:00:00 |
Research on the Spatiotemporal Evolution Trend of Green Innovation Efficiency in The Yangtze River Economic Belt |
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| Abstract: | In this paper, super efficiency SBM-DEA model and exploratory spatial data analysis method (ESDA) are used to study the spatial-temporal evolution characteristics and spatial correlation of green innovation efficiency in 108 cities in the Yangtze River Economic Belt from 2004 to 2018.The results show that the green innovation efficiency of the Yangtze River Economic Belt shows an inverted V-shaped development trend in the early stage and a slow rise in fluctuation after the financial crisis. The pure technical efficiency is the key factor affecting the efficiency of green innovation.The green innovation efficiency of the Yangtze River economic belt, the middle and the lower reaches of the Yangtze River are different. The efficiency level of the lower reaches is the highest, and the average value of the green innovation efficiency of the upper and middle reaches of the Yangtze River alternately leads in each year.The spatial pattern of green innovation efficiency in the Yangtze River Economic belt has gradually changed from "U-shaped distribution" in the upper and lower reaches, which is higher than that in the middle reaches, to "multi-center distribution".With the advance of time, the positive spatial correlation of green innovation efficiency between cities is increasingly significant, but the scale of low-efficiency city agglomeration is greater than that of high-efficiency city, and the phenomenon of local polarization is intensified. |
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| Keywords: | Yangtze River Economic belt Green innovation efficiency Super SBM-DEA model Exploratory spatial data analysis |
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