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基础设施与中国城市全要素生产率

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本文基于2003-2017年间中国城市面板数据,从经济效率的角度分解全要素生产率并考察基础设施对技术进步、技术效率和规模经济的影响.研究结果表明:基础设施、传统基础设施和数字基础设施整体上促进技术进步、提高技术效率、抑制规模经济.区分流量效应和存量效应发现:传统基础设施的存量效应和流量效应均提高技术进步、抑制规模经济;在技术效率方面,传统基础设施流量效应显著提高技术效率,存量效应不显著.数字基础设施的存量效应促进技术进步、提高技术效率、抑制规模经济,流量效应促进规模经济、抑制技术进步和技术效率.交互效应说明不同类型基础设施的存量和流量在影响全要素生产率时存在相互作用.本文的研究结论有助于为政府制定差异化的基础设施建设政策改善全要素生产率提供参考.
The Impact of Infrastructure on Total Factor Productivity of Chinese Cities
Based on the panel data of Chinese cities from 2003 to 2017,this paper decomposes TFP from the perspective of economy efficiency and investigates impacts of infrastructure on technical change,technical efficiency and scale economies.The results show that:infrastructure,traditional infrastructure,and digital infrastructure promote technical change and technical efficiency and inhibit scale economies as a whole.After distinguishing flow effect and stock effect,this study finds that both stock effect and flow effect of traditional infrastructure promote technical change and inhibit scale economies.In terms of technical efficiency,flow effect of traditional infrastructure promotes technical efficiency while stock effect is insignificant.Stock effect of digital infrastructure mainly lies in promoting technical change and technical efficiency and inhibiting scale economies;while flow effect significantly promotes scale economies,inhibits technical change and technical efficiency.Interaction effect indicates that stock and flow of different types of infrastructure interact with each other when influencing TFP.Findings of this paper are helpful to provide reference for the government to formulate differentiated infrastructure construction policies to improve TFP.

Traditional InfrastructureDigital InfrastructureTFP DecompositionEconomy EfficiencyStochastic Frontier Analysis

骆文月、随洪光

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南开大学经济学院,300071

山东大学经济学院,250100

传统基础设施 数字基础设施 TFP分解 经济效率 随机前沿分析

国家自然科学基金面上项目山东省社科规划基金重点项目国家社会科学基金重大项目

7187307723BJJJ0317ZDA040

2024

经济评论
武汉大学

经济评论

CSTPCDCSSCICHSSCD北大核心
影响因子:1.49
ISSN:1005-3425
年,卷(期):2024.245(1)
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