摘要：以大数据创新发展推进城市绿色转型是实现“双碳”战略目标与中国式现代化的重要抓手。本文基于2000—2022年中国266个地级及以上城市的面板数 据，运用纳入时间跨期因素与城市网络结构的动态网络数据包络分析模型，以设立国家级大数据综合试验区为准自然实验，基于双重差分模型探究其对城市绿色转型的政策净效应。研究结果显示，大数据综试区设立有效推动了城市绿色转型，这一结论在进行异质性处理效应检验、置换检验、内生性检验、控制并行政策干扰等多重情形下依然稳健。异质性分析表明，大数据综试区设立对高绿色金融发展水平、市场化水平、数字产业创新水平以及产业结构高级化水平的城市绿色转型推动作用更为显著。机制检验显示，绿色技术创新效应以及资源优化配置效应是大数据综试区推动城市绿色转型的重要传导渠道。进一步拓展性分析表明，大数据综试区设立存在正向空间溢出效应，其数据赋能与科技引领对邻近城市绿色转型也会产生辐射带动作用。坚持突出特色，强化大数据赋能与绿色创新示范，因地制宜推进大数据综试区建设，是推动城市绿色转型的关键路径选择。
关键词：国家级大数据综合试验区；绿色转型；绿色技术创新效应；资源优化配 置效应；DNSBM模型
Can National-Level Big Data Comprehensive Pilot Zone Drive Urban Green Transformation？
YuLan,ZhangBingbing
Abstract: Promoting urban green transformation with big data innovation and development is an important starting point for achieving the double carbon strategic goal and China's modernization. Based on panel data of 266 prefecture-level and above cities in China from 2000 to 2022, this paper uses a Dynamic Network Slacks-Based Measure model that incorporates time-varying factors and urban network structures to systematically evaluate the green transformation progress of each city. And taking the establishment of the National-level Big Data Comprehensive Pilot Zone (BDCPZ) as a natural experiment, this paper uses the difference-in-difference model to investigate the impact of BDCPZ on the urban green transformation. The study finds that the establishment of BDCPZ significantly promotes urban green transformation, and this conclusion remains robust after conducting heterogeneous treatment effects analysis, replacement test, endogeneity test, controlling for concurrent policy interference, etc. Heterogeneity analysis shows that the establishment of BDCPZ has a more significant impact on the green transformation of cities with high levels of green finance development, marketization, digital industry innovation, and industrial upgrading. Mechanism analysis shows that the green technology innovation effect and resource optimization allocation effect are the important channels through which BDCPZ promotes urban green transformation. Further expansion analysis shows that the establishment of BDCPZ has a positive spatial spillover effect, and the data empowerment and technological leadership will also have a radiating and driving effect on the green transformation of neighboring cities. Adhering to highlighting characteristics, strengthening big data empowerment and green innovation demonstration, and promoting the construction of BDCPZ according to local conditions are key path choices for promoting urban green transformation.
Keywords：National-Level Big Data Comprehensive Pilot Zone; Green Transformation; Green Technology Innovation Effect; Resource Optimization Allocation Effect; Dynamic Network Slacks-Based Measure Model
