Abstract
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.
Highlights
Was β = 0.211 (p < 0.01), the regression coefficient of network structure richness (NSR) on green innovation performance (GIP) was β = 0.199 (p < 0.01), and the regression coefficient of network relationship closeness (NRC) to GIP was β = 0.235 (p < 0.001). These findings demonstrate that the three dimensions of network potential had a significant positive impact on GIP
We focus on network potential as a network locus based on points), the indirect effect from NRC to GIP through absorptive capacity (AC) was significant
We further focus onConclusions the influencing of AC as mediating and Environmental turbulence (ET) as moderated mediation in the network
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. As the main component of the national economy, the manufacturing industry plays an important role in the rapid growth of China’s economy. It faces problems, such as high resource consumption, high pollutant emissions, and weak independent innovation capabilities [1]. China joined the “Paris Climate Agreement” and implemented the National Action Program “Made in
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