摘要
文章采用考虑非期望的超效率SBM模型、探索性空间数据分析(ESDA)与空间杜宾模型(SDM),深入讨论粤港澳大湾区2009—2019年绿色创新效率空间纹理、演化及驱动因素。结果表明:(1)湾区绿色创新效率具有良性发展趋势,先后经历"增长期""衰退期"与"重振期"三个阶段。区域内城市绿色创新效率分布具有"城市梯度"与"中流驱动"差异特征。(2)湾区绿色创新效率具有明显空间负相关性,局部主要表现为高—高集聚、低—高集聚和高—低集聚特征,绿色创新效率存在"极化"现象导致空间分布格局稳定性较差。香港、澳门空间溢出效应显著增强,推动珠三角城市群绿色创新基本实现联动发展。(3)政府支持力度、开放程度、环境规制及教育水平对绿色创新效率提升起到促进作用,产业结构起到负向作用。教育水平及产业结构具有正向空间溢出效应,开放程度具有负向空间溢出效应,其余因素空间溢出效应不显著。最后,结合研究结论对粤港澳大湾区绿色创新提出针对性建议,包括加快形成绿色创新成果落地转化长效机制,推动绿色创新与产业链、教育链、人才链有效衔接,降低区域间协作创新制度交易成本等一系列战略性举措。
This paper explores the spatial distribution,evolution law and driving factors of green innovation efficiency in the Guangdong-Hong Kong-Macao Greater Bay Area from 2009 to 2019 applying the unexpected super-efficiency SBM model, exploratory spatial data analysis(ESDA) and spatial Durbin Model(SDM). The results show that: 1) The green innovation efficiency has a benign development trend and experiences three stages successively: growth period,recession period and recovery period,it shows the distribution characteristics of urban gradient and mid-stream drive. 2) The green innovation efficiency in the Greater Bay Area has obvious negative spatial correlation,which is mainly manifested in the characteristics of high-high agglomeration, low-high agglomeration and high-low agglomeration. The "polarization" phenomenon of green innovation efficiency leads to poor spatial distribution pattern stability. It has significantly increased their spillovers in Hong Kong and Macao, and urban agglomerations in the Pearl River Delta region have basically achieved interconnected development in green innovation. 3)Government support, degree of openness,environmental regulations and education level promote the efficiency of green innovation besides the industrial structure.The educational level and industrial structure have positive spatial spillover effect, the degree of openness has negative spatial spillover effect, and the other factors have insignificant spatial spillover effect. Finally, based on the research conclusions,it puts forward some proposals for green innovation in the Guangdong-Hong Kong-Macao Greater Bay Area:accelerating the formation of a long-term mechanism for the implementation and transformation of green innovation achievements, promoting the effective connection of green innovation with industrial chain, education chain and talent chain,and reducing the transaction cost of inter-regional collaborative innovation system.
作者
董会忠
李旋
张仁杰
DONG Huizhong;LI Xuan;ZHANG Renjie(School of Management,Shandong University of Technology,Zibo 255022,Shandong,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2021年第5期134-144,共11页
Economic Geography
基金
国家社会科学基金项目(19BJY085)。
关键词
粤港澳大湾区
绿色创新效率
空间杜宾模型
开放程度
环境规制
产业链
创新驱动
Guangdong-Hong Kong-Macao Greater Bay Area
green innovation efficiency
Spatial Durbin Model
degree of openness
environmental regulation
industrial chain
innovation driven
