| 摘要: |
| 文章构建海洋科技绿色创新两阶段模型，将网络超效率EBM模型和DEA窗口分析相结合测度了我国沿海地区2008—2017年海洋科技绿色创新整体和分阶段效率。结果显示：考察期内整体效率均未实现DEA有效，研发与转化阶段的低效是其内在原因；整体效率与研发效率变化趋势高度相似；区域间效率水平差异比较明显，2011年后整体及阶段效率水平均呈现“东部较高、南部次之、北部较低”的态势；研究期内“高研发高转化”型地区仅有江苏、浙江、广东。 |
| 关键词: 海洋科技 绿色创新效率 网络超效率EBM模型 DEA窗口分析 |
| DOI：10.20016/j.cnki.hykfygl.20220330.010 |
|
| 基金项目:国家社会科学基金项目“我国陆海产业结构协同发展的绿色效应测度”（18CJY018）. |
|
| Research on Green Innovation Efficiency of Marine Science and Technology in China From the Perspective of Two Stages: Based on Network Super-EBM Model and DEA Window Analysis |
| LI Zhihao,JIN Xue,LYU Xinman |
| School of economics, Ocean University of China;School of economics, Ocean University of China;Marine Development Research Institute |
| Abstract: |
| This paper built a two-stage process model of green innovation of marine science and technology, to measure and analyze the whole and phrased efficiency of green innovation of the marine science and technology in China’s coastal areas from 2008 to 2017 by combining the Network Super-EBM model and DEA Window Analysis. The results showed that the whole efficiency of green and innovation of the coastal areas’ marine science and technology had not realized DEA effectiveness because of the immanent cause, low R&D and translation efficiency. The variation trends of the whole efficiency and R&D efficiency were highly similar, which indicated that the R&D efficiency needed to be enhanced. There were big efficiency gaps among the areas, the whole and phase efficiencies after 2011 presented a situation that “higher in the east, second in the south, and lower in the north”. In the study period, only Jiangsu, Zhejiang and Guangdong belonged to the “high R&D and high translation” areas. |
| Key words: Marine science and technology, Green innovation efficiency, Network Super-EBM Model, DEA Window Analysis |
