国家级大数据综合试验区如何影响制造业企业高质量发展：基于资源配置效率视角

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摘要数智化时代,大数据已成为驱动中国经济高质量发展的重要引擎。以2010—2021年中国A股制造业上市公司为样本,基于资源配置效率视角,通过构建双重差分模型,系统分析国家级大数据综合试验区的设立对制造业企业高质量发展的影响效应及其内在机理,结果显示：国家级大数据综合试验区的设立能够显著提升制造业企业全要素生产率,这一结果在通过PSM-DID、平行趋势检验等稳健性检验后依然成立,表明大数据综合试验区促进了制造业企业的高质量发展。其中,提升企业的资源配置效率是重要的内在作用机制,即大数据综合试验区通过提高劳动力资源配置效率、投资效率以及绿色创新效率促进了制造业企业高质量发展。大数据综合试验区的高质量发展促进效应在非国有企业、高科技企业,以及环境规制强度较大、金融科技发展水平较高区域的企业中更为明显。经济后果分析表明,制造业企业高质量发展能够增强组织韧性,且大数据综合试验区的设立强化了企业高质量发展与组织韧性之间的正相关关系。

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关键词 ：大数据综合试验区, 企业高质量发展, 制造业, 资源配置效率, 双重差分模型

Abstract：In the era of digital intelligence, big data has become an important engine driving the high-quality development of China's economy. Taking China's A-share listed manufacturing companies from 2010 to 2021 as samples, based on the perspective of resource allocation efficiency, by constructing a DID model, the impact of the establishment of a national big data comprehensive pilot zone on the high-quality development of manufacturing enterprises and its internal mechanism are systematically analyzed. The results show that the establishment of a national big data comprehensive pilot zone can significantly enhance the total factor productivity of manufacturing enterprises. This result remains valid after a series of robustness tests, including PSM-DID and parallel trend tests, indicating that the establishment of a national big data comprehensive pilot zone has promoted the high-quality development of manufacturing enterprises. Improving the resource allocation efficiency of enterprises is an important internal mechanism, that is, the big data comprehensive pilot zone promotes the high-quality development of manufacturing enterprises by improving the labor resource allocation efficiency, investment efficiency and green innovation efficiency. The high-quality development promotion effect of the big data comprehensive pilot zone is more pronounced in non-state-owned enterprises, high-tech enterprises, and regions with strong environmental regulations and high levels of financial technology development. The economic consequence analysis shows that the high-quality development of manufacturing enterprises can enhance organizational resilience, and the establishment of a big data comprehensive pilot zone strengthens the positive correlation between high-quality development of enterprises and organizational resilience.

Key words： big data comprehensive pilot zones high-quality development of enterprises manufacturing industry resource allocation efficiency DID model

收稿日期: 2024-05-13

中图分类号:	F49
	F832.51
	F273.1

基金资助:国家社会科学基金课题“数字经济赋能粤港澳大湾区协同创新发展的机理与路径研究”（23BJL114）; 广州市哲学社会科学规划项目“数字化转型背景下数据要素投入对企业高质量发展影响机理及路径研究：多重均衡视角”（2024GZYB38）; 中共广东省委党校重大攻关课题“数据要素集聚对新质生产力的影响机理与推进策略研究”（XYZDGG 202405）

作者简介: 赵超,经济学博士,中共广东省委党校教授、硕士生导师,主要从事区域经济与科技创新研究;曾庆铎,经济学博士,广东工业大学经济学院讲师,主要从事数字经济与科技金融研究。

引用本文:

赵超, 曾庆铎. 国家级大数据综合试验区如何影响制造业企业高质量发展：基于资源配置效率视角[J]. 《深圳大学学报》（人文社科版）, 2024, 41(5): 71-83. ZHAO Chao, ZENG Qing-duo. The Impact of National Big Data Comprehensive Pilot Zones on the High-quality Development of Manufacturing Enterprises: From the Perspective of Resource Allocation Efficiency. , 2024, 41(5): 71-83.

链接本文:

https://xb.szu.edu.cn/CN/ 或 https://xb.szu.edu.cn/CN/Y2024/V41/I5/71

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