省域数据要素市场对区域协调发展影响的空间效应

Spatial Effect of Provincial Data Factor Market on Region Coordinated Development

文章基于2011—2022年中国30个省域的相关数据,从大数据政用、商用、民用和人民生活水平、基本公共服务等方面分别构建省域数据要素市场发展和区域协调发展水平评价指标体系,采用熵权法、ArcGIS空间分析等方法测度和考察了两者的发展水平和时空分布特征;同时借助空间杜宾模型检验了数据市场对区域协调发展的本地效应、空间溢出效应及其异质性。结果表明:①在空间分布上,中国各省域数据市场水平呈东高西低空间特征,区域协调发展水平有明显空间相关性。②中国各省域间数据市场水平随时间推移呈收敛趋势,区域协调发展高水平俱乐部成员逐渐增加,低水平俱乐部成员不断减少。③数据市场水平提升既能促进本地协调发展,又能通过区际示范和业务关联作用于外地协调发展水平即产生空间溢出效应,且本地效应大于溢出效应、长期效应超过短期效应。④数据市场发展的影响效应存在区域异质性和阶段异质性,在胡焕庸线东南半壁本地效应和空间溢出效应更明显,且2017年后空间效应显著增强。研究结论为构建数据要素市场化配置机制以及助力区域高质量协调发展提供了理论借鉴和实证参考。

Based on the relevant data of 30 provincial-level regions from 2011 to 2022,the evaluation index system of provincial data market development and region coordinated development(RCD)was constructed from the perspectives of"big data development in commercial,civil and government field",and"people's living standards","basic public services"etc.The entropy weight method and ArcGIS was used to investigate their development level and spatial distribution characteristics.By using spatial Durbin model,the local and spatial spillover effect of data market on RCD and its heterogeneity are tested.The results show that:1)In terms of spatial distribution,the development level of provincial data markets presents spatial characteristics of"high in the east and low in the west",and the RCD level has obvious spatial correlation.2)The development level of inter-provincial data markets shows a convergence trend with the passage of time,and the members in relatively high-level club of RCD gradually increase,while the members in low-level club decrease.3)The data market level not only promotes the local coordinated development,but also exerts spatial spillover effect on other regions through inter-regional demonstration and business association,and the local effect is greater than the spatial spillover effect,the long-term effect outweighs the short-term effect.4)There is obvious region and stage heterogeneity in the effect of data market.In the southeast of the Hu huanyong Line,the local and spatial spillover effect are more obvious,and the spatial effect significantly enhanced after 2017.The research conclusions provide theoretical and empirical reference for the construction of data factor market-oriented allocation mechanism and promoting region high-quality coordinated development.