How to drive green innovation in China's mining enterprises? Under the perspective of environmental legitimacy and green absorptive capacity

2021 ◽  
Vol 72 ◽  
pp. 102038
Author(s):  
Min Zhou ◽  
Kannan Govindan ◽  
Xiongbiao Xie ◽  
Liang Yan
Keyword(s):  
Absorptive Capacity ◽  
Green Innovation ◽  
Environmental Legitimacy

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals The Penetration of Green Innovation on Firm Performance: Effects of Absorptive Capacity and Managerial Environmental Concern

2019 ◽  
Vol 11 (9) ◽  
pp. 2455 ◽  
Author(s):  
Min Xue ◽  
Francis Boadu ◽  
Yu Xie
Keyword(s):  
Firm Performance ◽  
Hierarchical Linear Modeling ◽  
Absorptive Capacity ◽  
Environmental Sustainability ◽  
Environmental Concern ◽  
Green Innovation ◽  
Linear Modeling ◽  
Performance Effects ◽  
Performance Dimensions ◽  
Positive Effect

Under the background of environmental sustainability, it is of great significance to investigate how green innovation influences firm performance dimensions in emerging economies. Explicitly, the interaction effects of absorptive capacity (AC) and managerial environmental concern (MEC) on the correlation between green innovation and firm performance dimensions must be explored. Our data were obtained through a questionnaire survey from 253 companies operating in China. Using hierarchical linear modeling (HLM), we found that (1) green innovation has a robustly positive effect on firm performance dimensions (operational, financial and environmental), and (2) absorptive capacity and managerial environmental concern can positively affect the correlation between green innovation and firm performance dimensions. Our results illustrate the integrating effects of absorptive capacity, managerial environmental concern, green innovation and firm performance dimensions.

scholarly journals Do Tournament Incentives Matter for CEOs to Be Environmentally Responsible? Evidence from Chinese Listed Companies

2022 ◽  
Vol 19 (1) ◽  
pp. 470
Author(s):  
Sajid Ullah ◽  
Farman Ullah Khan ◽  
Laura-Mariana Cismaș ◽  
Muhammad Usman ◽  
Andra Miculescu
Keyword(s):  
Positive Relationship ◽  
Listed Companies ◽  
Management Research ◽  
Green Innovation ◽  
Policy Makers ◽  
Top Executives ◽  
Tournament Theory ◽  
Chinese Listed Companies ◽  
Environmentally Responsible ◽  
Environmental Legitimacy

Relying on tournament theory and environmental management research, we examine how CEO tournament incentives induce top executives to invest more in green innovation. Using a sample of Chinese listed companies from 2010 to 2016, we find evidence that CEO tournament incentives are positively associated with green innovation. In addition, we find that a positive relationship between CEO tournament incentives and green innovation is stronger in state-owned enterprises than in non-state-owned enterprises. These results support tournament theory, which proposes that better incentives induce top executives’ efforts to win the tournament incentives, and such efforts are subject to fiercer competition among employees, which improves firms’ social and financial performance. Moreover, our findings have implications for policy makers and regulators who wish to enhance environmental legitimacy by providing tournament incentives to top executives.

Interorganizational learning, green knowledge integration capability and green innovation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rixiao Cui ◽  
Juanru Wang ◽  
Yajiong Xue ◽  
Huigang Liang
Keyword(s):  
Organizational Learning ◽  
Absorptive Capacity ◽  
Knowledge Integration ◽  
Green Innovation ◽  
Interorganizational Learning ◽  
Content Type ◽  
Positive Effects ◽  
The Relationship ◽  
Moderating Role

PurposeAlthough interorganizational learning has attracted substantial attention, research about its effects on green innovation is still rare. Combining theories of organizational learning and absorptive capacity, this study explores the relationships among interorganizational learning, green knowledge integration capability (GKIC) and green innovation (GI), and analyzes the moderating role of green absorptive capacity (GAC). Based on resource-based and ambidexterity theories, this study focuses on vertical exploitative (VEL) and lateral explorative learning (LEL). This study expands the research of GI by proposing two different interorganizational learning mechanisms and uncovering the intricate relationship between them and GI.Design/methodology/approachBased on a sample of 203 Chinese manufacturing firms, the authors used a hierarchical regression analysis and bootstrap method to test the theoretical framework and research hypotheses of this paper.FindingsResults show that VEL and LEL have positive effects on GI. GKIC partially mediates the relationship between VEL and GI and completely mediates the relationship between LEL and GI. Moreover, GAC plays a moderating role between LEL and GKIC and moderates the effect of LEL on GI via GKIC, such that the effect is stronger when GAC increases. However, it does not moderate the relationship between VEL and GKIC.Originality/valueFirst, founded on resource-based and ambidexterity theories, this study considers two dimensions of interorganizational learning, VEL and LEL. Second, by testing the mediating role of GKIC, the authors provide a theoretical lens to understand the relationship between interorganizational learning and GI. Third, by examining boundary conditions of GAC, the authors enrich organizational learning and absorptive capacity theory in the context of green development.

scholarly journals Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance

2018 ◽  
Vol 22 (2) ◽  
pp. 432-452 ◽  
Author(s):  
Gema Albort-Morant ◽  
Antonio L. Leal-Rodríguez ◽  
Valentina De Marchi
Keyword(s):  
Absorptive Capacity ◽  
Manufacturing Sector ◽  
Innovation Performance ◽  
Path Modeling ◽  
Green Innovation ◽  
Learning Mechanisms ◽  
Content Type ◽  
External Knowledge ◽  
Automotive Components ◽  
Knowledge Based

Purpose This paper aims to explore in depth how internal and external knowledge-based drivers actually affect the firms’ green innovation performance. Subsequently, this study analyzes the relationships between absorptive capacity (internal knowledge-based driver), relationship learning (external knowledge-based driver) and green innovation performance. Design/methodology/approach This study relies on a sample of 112 firms belonging to the Spanish automotive components manufacturing sector (ACMS) and uses partial least squares path modeling to test the hypotheses proposed. Findings The empirical results show that both absorptive capacity and relationship learning exert a significant positive effect on the dependent variable and that relationship learning moderates the link between absorptive capacity and green innovation performance. Research limitations/implications This paper presents some limitations with respect to the particular sector (i.e. the ACMS) and geographical context (Spain). For this reason, researchers must be thoughtful while generalizing these results to distinct scenarios. Practical implications Managers should devote more time and resources to reinforce their absorptive capacity as an important strategic tool to generate new knowledge and hence foster green innovation performance in manufacturing industries. Social implications The paper shows the importance of encouraging decision-makers to cultivate and rely on relationship learning mechanisms with their main stakeholders and to acquire the necessary information and knowledge that might be valuable in the maturity of green innovations. Originality/value This study proposes that relationship learning plays a moderating role in the relationship between absorptive capacity and green innovation performance.

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