Skip to main navigation Skip to search Skip to main content

Public procurement and green innovation in Chinese enterprises: insights from econometric models and cross-case studies

  • Lei Cheng
  • , Xiaohong Wang*
  • , Meilin Zhao
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study employs econometric models and cross-case analysis to investigate the impact and mechanism of public procurement (PP) on enterprises’ green innovation (EGI). Based on the manual identification of government customers, we conduct panel model estimations on Chinese listed company data from 2010 to 2021. Findings reveal that PP has a green innovation effect at the micro level. Moreover, expected market returns, corporate social responsibility (CSR), and financing constraints play a mediating role between PP and EGI. Additionally, we delved into the relationship between PP and EGI through a cross-case study. It not only validates the conclusions drawn from the econometric model but also summarises the heterogeneous characteristics of PP affecting EGI in practice. This study not only contributes to the existing literature on the outcomes of PP and factors impacting EGI but also furnishes additional empirical insights into the mechanisms through which PP enhances EGI.

Original languageEnglish
Pages (from-to)572-603
Number of pages32
JournalAsian Journal of Technology Innovation
Volume32
Issue number3
DOIs
StatePublished - 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Public procurement
  • cross-case studies
  • econometric models
  • green innovation
  • mechanism

Fingerprint

Dive into the research topics of 'Public procurement and green innovation in Chinese enterprises: insights from econometric models and cross-case studies'. Together they form a unique fingerprint.

Cite this