运筹与管理 ›› 2023, Vol. 32 ›› Issue (12): 208-213.DOI: 10.12005/orms.2023.0409

• 应用研究 • 上一篇    下一篇

组态视角下数字经济发展影响区域绿色创新的驱动模式研究

郭金花, 贾月琴, 曹翠珍   

  1. 山西财经大学 工商管理学院,山西 太原 030006
  • 收稿日期:2022-05-06 出版日期:2023-12-25 发布日期:2024-02-06
  • 通讯作者: 郭金花(1991-),女,山西朔州人,博士,副教授,硕士生导师,研究方向:数字经济与技术创新。
  • 作者简介:贾月琴(1998-),女,山西临汾人,硕士,研究方向:绿色创新;曹翠珍(1967-),女,山西神池人,博士,教授,硕士生导师,研究方向:绿色创新。
  • 基金资助:
    国家自然科学基金青年项目(72102133);教育部人文社科基金青年项目(21YJC790040);山西省科技战略研究专项课题(202204031401072);山西社会主义学院科研课题(sxsyzbkt086)

Research on the Driving Model of Digital Economy Development Affecting Regional Green Innovation from the Perspective of Configuration

GUO Jinhua, JIA Yueqin, CAO Cuizhen   

  1. School of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030006, China
  • Received:2022-05-06 Online:2023-12-25 Published:2024-02-06

摘要: 当前数字经济对绿色创新的赋能效应日益突显,本文以30个省市为案例,基于组态视角探究数字经济对区域绿色创新的影响。研究发现:数字资源、数字技术、数字产业、数字环境各维度条件变量均无法单独构成驱动区域绿色创新的必要条件,需要通过联动匹配才能发挥作用。导致区域高绿色创新水平的驱动模式有五类,分别为资源-产业-环境主导技术协同型、资源-产业主导技术-环境协同型、资源-产业-环境主导型、资源-产业主导型和技术-环境主导型绿色创新驱动模式;导致非高绿色创新水平的驱动模式包括资源-环境缺失型和资源-技术-环境缺失型两种。数字资源、数字技术、数字产业和数字环境的不同条件组合可通过等效替代以“殊途同归”的方式提升区域绿色创新水平。

关键词: 数字经济, 绿色创新, 模糊集定性比较分析, 驱动模式

Abstract: Under the background of dual carbon, facing the dual pressure of serious resource consumption and environmental pollution, how to achieve the green development model of “not only gold and silver mountains, but also green water and green mountains” has become the main goal of economic development in various regions. With digital technology as the driving force and digital knowledge and information as the key production factors, the digital economy has an increasingly prominent enabling effect on green innovation. Therefore, how to give full play to the innovation enabling effect of the digital economy to improve the regional green innovation has become an important issue to be solved urgently in all regions to balance the sustainable and healthy economic development and ecological environmental protection. From the four dimensions of “digital resources-digital technology-digital industry-digital environment”, this paper builds an analytical framework of the impact of digital economy on green innovation at the macro level. Taking 30 provinces (municipalities and districts) in China as a case study, this paper adopts fuzzy set qualitative comparative analysis (fsQCA) method to explore the driving model of regional green innovation influenced by digital economy.
The study draws the following conclusions.(1)The dimension condition variables of digital resources, technology, industry and environment cannot constitute the necessary conditions to drive regional green innovation alone. (2)There are five driving modes of high-level regional green innovation, namely resource-industry-environment leading technology synergy, resource-industry leading technology and environment synergy, resource-industry-environment leading, resource-industry-environment leading, resource-industry leading and technology-environment leading. The driving modes leading to low green innovation level include resource-environment deficiency and resource-technology-environment deficiency. (3)Different combinations of digital resources, technologies, industries and environment can enhance the regional green innovation through equivalent substitution in a way of “different paths and the same goal”.
The paper puts forward the following suggestions. Firstly, differentiated promotion strategies should be implemented for regions with high green innovation with different driving models. For resource-industry oriented areas, the integration of digital technology and related industries should be strengthened. At the same time, such regions should create a good digital consumption and digital government environment to provide support and guarantee for regional green innovation. Secondly, non-high green innovation regions should set development goals according to their own endowment conditions. For example, such areas should focus on improving digital resources and digital industries, and attach importance to attracting high-quality digital talent resources. Thirdly, all regions should analyze the advantages and disadvantages of regional industrial development and resources and environment, and fully consider the relationship between the combination of various conditions, so as to effectively stimulate the endogenous power of innovation subjects and improve the regional green innovation.

Key words: digital economy; green innovation; fsQCA; driving mode

中图分类号: