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数智化赋能城市包容性绿色增长:来自双重机器学习的因果推断 被引量:5

Digital intelligence enabling urban inclusive green growth:causal inference from double machine learning
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摘要 作为一种充分体现数改智转、数智融合等新技术理念的新质生产力,数智化真正意义上实现了新一代信息技术从小数据到大数据,再到智慧数据的本质飞跃,是共同富裕背景下地方践行包容性绿色增长理念的强劲动能。该研究基于数智化内涵构建城市层面的数智化指标体系及指数,并运用双重机器学习算法、两种“黑盒”模型解释工具等前沿技术及中国279个地级及以上城市面板数据,考察了数智化对城市包容性绿色增长的内在机制及激励效应。研究发现:(1)数智化能有效激发城市包容性绿色增长活力,且这一积极赋能效果明显强于数字化和智能化分别产生的潜在冲击。(2)在非资源型城市、“胡焕庸线”以西经济区、内陆地区和外围城市中,数智化更有利于城市包容性绿色增长;在市场一体化和非正式制度较弱、数字经济水平较低、金融支持力度较大的城市,数智化驱动更具后发优势。(3)数智化主要通过诱发政府干预、优化要素配置和提高从业质量,助力城市包容性绿色增长。(4)数智化赋能的包容性绿色增长效应遵循“梅特卡夫法则”,呈现出明显的正向边际效率递增态势,且这种积极作用随时间的推移逐渐增强,贡献也越来越大。据此,应加快制定和完善相关政策法规,积极推动数智化发展与城市包容性绿色增长的深度融合,从而有效实现经济、社会与生态和谐共生。该研究不仅为促进城市包容性绿色增长提供了数智驱动的新视角,也为新发展格局下国家统筹实现数字中国战略和共同富裕目标的“双赢”提供了政策启示。 As a form of new quality productive forces fully embodying new technological concepts such as digital transformation,intel-ligent transformation,and digital and intelligent integration,digital intelligence has truly realized the essential leap of a new generation of information technology from small data to big data and then to intelligent data.It is a strong driving force for local governments to practice the concept of inclusive green growth in the context of common prosperity.Based on the implications of digital intelligence,this study attempted to construct a digital intelligence index system and index at the city level,and used cutting-edge technologies such as double machine learning algorithms and two“black box”model interpretation tools,as well as panel data from 279 prefecture-level and above cities in China,to examine the internal mechanism and incentive effect of digital intelligence on urban inclusive green growth.The study found that:①Digital intelligence could effectively stimulate the vitality of urban inclusive green growth,and this positive em-powerment effect was significantly stronger than the potential impact produced by digitization and intellectualization.②In non-re-source-based cities,economic zones west of the Heihe-Tengchong Line,inland areas,and peripheral cities,digital intelligence was more conducive to urban inclusive green growth;in cities with weaker market integration and informal institutions,low levels of digital economy,and greater financial support,the digital intelligence drive had more“late-mover advantages.”③Digital intelligence mainly contributed to urban inclusive green growth by inducing government intervention,optimizing factor allocation,and improving the quali-ty of employment.④The inclusive green growth effect of digital intelligence empowerment followed Metcalfe's Law,showing a clear trend of increasing positive marginal efficiency,and this positive effect gradually increased over time,with an increasing contribution.Accordingly,it is necessary to accelerate the formulation and improvement of relevant policies and regulations and actively promote the deep integration of digital intelligence development and urban inclusive green growth,so as to effectively achieve the harmonious coex-istence of economy,society,and ecology.This study not only provides a new,digitally driven perspective for promoting urban inclusive green growth but also provides policy implications for the“win-win”situation of achieving the Digital China initiative and the goal of common prosperity under the new development pattern.
作者 韩先锋 李佳佳 HAN Xianfeng;LI Jiajia(School of Management and Economics,Kunming University of Science and Technology,Kunming Yunnan 650093,China)
出处 《中国人口·资源与环境》 北大核心 2025年第6期177-189,共13页 China Population,Resources and Environment
基金 国家自然科学基金面上项目“‘两高’制造业数智化转型赋能绿色创新:机制探索、经验辨识与政策启示”(批准号:72473059) 教育部人文社科规划基金项目“数智化赋能制造业绿色转型的机理与政策研究”(批准号:23YJA790026)。
关键词 数智化 包容性绿色增长 双重机器学习 非线性效应 digital intelligence inclusive green growth double machine learning nonlinear effect
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