管理评论 ›› 2025, Vol. 37 ›› Issue (11): 232-244.

• • 上一篇    

营商环境生态驱动数绿协同创新发展的动态组态效应研究

田庆锋, 沈伟康, 李瑶   

  1. 西北工业大学管理学院, 西安 710129
  • 收稿日期:2024-08-20 发布日期:2025-12-17
  • 作者简介:田庆锋,西北工业大学管理学院教授,博士生导师,博士;沈伟康(通讯作者),西北工业大学管理学院博士研究生;李瑶,西北工业大学管理学院博士研究生。
  • 基金资助:
    国家社会科学基金重大项目(22&ZD069);国家自然科学基金项目(72172128);陕西省社会科学基金项目(2022R044);西北工业大学博士论文创新基金项目(SOMBC202502)。

Research on Dynamic Configurational Effects of Doing Business Ecosystems Driving Digital-Green Synergistic Innovation

Tian Qingfeng, Shen Weikang, Li Yao   

  1. School of Management, Northwestern Polytechnical University, Xi'an 710129
  • Received:2024-08-20 Published:2025-12-17

摘要: 数绿协同创新是发展新质生产力的核心要素。如何通过优化营商环境生态以驱动数绿协同创新发展是亟须回答的热点议题。本文明确了数绿协同创新的概念内涵和评价方式,并结合制度组态理论与生态系统耦合观,以2011—2021年724家高科技上市企业为样本,采用混合方法探究实现高水平数绿协同创新发展的多元营商环境生态组态路径、演变规律及影响效应。研究发现:①单个营商环境生态要素不是数绿协同创新发展的必要条件。②存在4条驱动数绿协同创新发展的组态路径,即政府赋能-社会主导下的非耦合型(H1)、社会主导下的非耦合型(H2)、政府-社会双元主导下的非耦合型(H3)和政府-市场-社会协同下的松散耦合型(H4),其中,人力资源和创新环境发挥着较为普适的作用。③时间维度上,组态H1、H3和H4呈现明显的平行波动下降趋势。从分布上看,部分高科技企业实现高水平数绿协同创新发展的路径并不唯一。④高水平组态驱动效应显著,且在民营及管理层年轻化的高科技企业中更为明显。本文结果对揭示高水平数绿协同创新发展的营商环境生态路径提供了重要的理论依据和实践参考。

关键词: 数绿协同创新, 营商环境生态, 制度组态, 生态系统耦合观, 混合方法

Abstract: Digital-green synergistic innovation is a core element in the development of new quality productive forces. How to optimize the doing business ecosystems to drive the development of digital-green synergistic innovation is an urgent issue. This paper clarifies the concept and evaluation approach of digital-green synergistic innovation, and integrates institutional configuration theory with the ecological system coupling perspective. Using a sample of 724 listed high-tech companies from 2011 to 2021, this paper employs a mixed-method approach to explore the diverse doing business ecological configuration paths, evolution patterns, and impact effects that drive high-level digital-green synergistic innovation. The findings are as follows: (1) Individual doing business ecological factors do not constitute a necessary condition for the development of digital-green synergistic innovation. (2) Four configuration paths driving digital-green synergistic innovation are identified: government-empowered, socially-led non-coupling (H1), socially-led non-coupling (H2), government-social dual-led non-coupling (H3), and government-market-social collaborative loose coupling (H4), with human resources and innovation environment playing a relatively universal role. (3) From a temporal perspective, configurations H1, H3, and H4 exhibit a clear parallel downward fluctuation trend. Geographically, some high-tech companies achieve high-level digital-green synergistic innovation development through non-unique paths. (4) The driving effects of high-level configurations are significant, particularly in private companies and high-tech companies run by a young management team. The results of this study provide important theoretical foundations and practical references for revealing the doing business ecological paths that drive high-level digital-green synergistic innovation.

Key words: digital-green synergistic innovation, doing business ecosystems, institutional configuration, ecological system coupling perspective, mixed-method approach