金融创新、产业结构升级与区域生态效率——基于空间计量模型及中介效应的实证分析

本文基于2012~2022年中国30个省级面板数据,运用多因子分析法和超效率SBM模型分别测度金融创新指数和区域生态效率,在此基础上,利用空间计量模型与中介效应模型实证分析金融创新对区域生态效率产生的影响。研究结果表明:金融创新水平的提高能够显著促进区域生态效率的提升,且存在区域异质性;金融创新对区域生态效率具有显著正向的空间溢出效应,本地区金融创新水平的提升将会推动相邻地区生态效率的提升;金融创新可以通过产业结构升级的中介效应促进区域生态效率的提升。This article is based on panel data from 30 provinces in China from 2012 to 2022. Multiple factor analysis and super efficiency SBM models are used to measure the financial innovation index and regional ecological efficiency, respectively. Based on this, spatial econometric models and mediation effect models are used to empirically analyze the impact of financial innovation on regional ecological efficiency. The research results indicate that the improvement of financial innovation level can significantly promote the improvement of regional ecological efficiency, and there is regional heterogeneity. Financial innovation has a positive spatial spillover effect on regional ecological efficiency, and the improvement of local financial innovation level will promote the improvement of ecological efficiency in adjacent regions. Financial innovation can promote the improvement of regional ecological efficiency through the intermediary effect of industrial structure upgrading.

双循环格局下长三角地区跨境电商发展路径研究

现阶段,我国明确了实现经济高质量发展的奋斗目标,大力推动构建以国内大循环为主体、国内国际双循环相互促进的新发展格局,在此时代背景下,长三角地区作为我国跨境电商的第一阵营和核心区域,跨境电商企业正面对全新的发展机遇和挑战。因此,如何在双循环的新发展格局下推动长三角地区跨境电商企业的高质量发展、探索长三角地区跨境电商企业的新发展路径成为各方关注的重点。基于此,本文根据双循环新发展格局的具体要求,针对长三角地区跨境电商行业的发展现状进行分析,明确双循环格局对跨境电商企业发展带来的机遇和挑战,进而针对探索长三角地区跨境电商企业的发展与转型升级路径展开探讨,以期为长三角地区跨境电商企业在双循环格局下实现顺利转型和高质量发展提供一定参考。