| Title | The effective path of green transformation of heavily polluting enterprises promoted by green merger and acquisition-qualitative comparative analysis based on fuzzy sets |
|---|---|
| ID_Doc | 31478 |
| Authors | Zhang, Y; Sun, ZY; Sun, MX; Zhou, YQ |
| Title | The effective path of green transformation of heavily polluting enterprises promoted by green merger and acquisition-qualitative comparative analysis based on fuzzy sets |
| Year | 2022 |
| Published | Environmental Science And Pollution Research, 29, 42 |
| Abstract | Green merger and acquisition (GMA) is becoming a growing tendency for heavily polluting enterprises in recent years; however, the realization path of green transformation through GMA is still unexplored. Taking 48 Chinese heavily polluting enterprises that had GMA in 2018 as the research object, this paper constructs the "M&A attributes, Organizational characteristics, and External environment" (M-O-E) framework, by using the method of fuzzy-set qualitative comparative analysis (fsQCA) to reveal the configurations of conditions that lead to high levels of green innovation performance. The results show that the high green technology innovation performance after GMA of heavily polluting enterprises is the outcome of multiple antecedents, and no singular antecedent is sufficient for achieving it. Besides, there are three equivalent configurations of conditions to achieve green transformation: professional buyer, internal leading, and internal-external linkage. Among them, the professional buyer configuration highlights that the combination of M&A experience and M&A scale is of great importance, the internal leading configuration emphasizes that the existence of environmental awareness and organizational resources is the core conditions, and the internal-external linkage configuration requires simultaneous efforts of M&A experience and government environmental regulations. Our research contributes to the understanding of green transformation in heavily polluting enterprises from a configurational perspective, and provides a practice-oriented guide to achieve green transformation for the government and heavily polluting enterprises. |
Similar Articles
| ID | Score | Article |
|---|---|---|
35526
|
Miao, ZY; Zhao, GH Configurational paths to the green transformation of Chinese manufacturing enterprises: a TOE framework based on the fsQCA and NCA approaches(2023)Scientific Reports, 13, 1 | |
| 35171
|
Li, L; Che, WJ Internal logic and driving path of enterprise green innovation performance improvement under TOE framework: based on linkage effect analysis of fsQCA and NCA(2024) | |
| 35826
|
Liang, XD; Li, SP; Luo, P; Li, ZY Green mergers and acquisitions and green innovation: an empirical study on heavily polluting enterprises(2022)Environmental Science And Pollution Research, 29, 32 | |
| 34946
|
Yin, W Does digital transformation matter to green innovation: based on TOE framework and configuration perspective(2023)Environmental Science And Pollution Research, 30, 44 | |
| 32293
|
Su, XN; Ding, SJ Research on the Configuration Paths of Low-Carbon Transformation of Heavily Polluting Enterprises(2024)Sustainability, 16, 14 | |
| 34887
|
Lou, S; Yao, CQ; Zhang, DH How to promote green innovation of high-pollution firms? A fuzzy-set QCA approach based on the TOE framework(2023) | |
| 35067
|
Lutfi, A; Al-Hiyari, A; Elshaer, IA; Alrawad, M; Almaiah, MA Green environmental management system and environmental performance: Results from PLS-SEM and fsQCA(2024) | |
| 32342
|
Peng, YT; Chen, YH; Hou, YC; Li, SJ China's logistics green competitiveness promotion path: a fuzzy-set qualitative comparative analysis approach(2022)Environmental Science And Pollution Research, 29, 60 | |
| 32210
|
Luo, Y; Jie, XW; Li, XP; Yao, LM Ranking Chinese SMEs Green Manufacturing Drivers Using a Novel Hybrid Multi-Criterion Decision-Making Model(2018)Sustainability, 10, 8 | |
| 30378
|
Liu, L; Zhang, L; Xu, W Research on the enhancement path of green technology innovation efficiency under the group perspective(2024)Plos One, 19, 8 |