Impact assessment of digital transformation on the green innovation efficiency of China's manufacturing enterprises

Lin, Boqiang; Xie, Yongjing

doi:10.1016/j.eiar.2023.107373

Cited by 20 publications

(4 citation statements)

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“…To mitigate the potential endogeneity problem, we used the two-stage least squares method for the instrumental variable regression. Following the approach outlined by Lin and Xie [ 14 ] and Qi and Song [ 39 ], instrumental variables for digital transformation were selected. Specifically, the first-order lag term of digital transformation (IV2) and the mean value of digital transformation within the same province and industry (IV1) were chosen as instrumental variables.…”

Section: Resultsmentioning

confidence: 99%

“…[ 13 ] conclude, through a case study, that the creation of a platform for supply chain collaboration and pooling of idle resources can help digital transformation create a green supply chain, which can lead to the formation of communities of interest among enterprises and enhance corporate willingness toward green governance. Lin and Xie [ 14 ] find that digital transformation helps firms accurately predict market demand, strategically allocate innovation resources to key areas, improve the conversion and utilization efficiency of resources, and create a competitive advantage for the green governance of firms at the production stage. Wang et al .…”

Section: Literature Reviewmentioning

confidence: 99%

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The impact of digital transformation on corporate green governance under carbon peaking and neutrality goals: Evidence from China

Wang,

Guo,

et al. 2024

PLoS ONE

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Digital transformation, as a significant shift in optimizing enterprise resource allocation and enhancing information connectivity, offers the opportunity to stimulate the endogenous dynamics of corporate green governance. Employing a sample of 3,002 listed companies in China, a fixed-effects model, and the entropy power method to formulate a green governance index system, this study examines how digital transformation affects corporate green governance concerning carbon peaking and carbon neutrality objectives. According to these findings, the implementation of the digital transformation improves corporate green governance, each unit increase in digital transformation correlates with a 1.91% enhancement in green governance. Moreover, an examination of the mechanisms shows that green governance can be promoted by addressing information asymmetry and enhancing operational efficiency. Additionally, the association between corporate green governance and digital transformation is moderated favorably by strategic aggressiveness. Furthermore, our results indicate that digital transformation contributes significantly to the advancement of green governance within enterprises located in areas with high digital financing and strong technology integration capacities. Digitalization has a stronger effect on promoting green governance for enterprises in pilot regions than in non-pilot regions in terms of carbon emission trading. This study not only assists enterprises in elucidating the developmental trajectory of digital transformation amid carbon peaking and carbon neutrality goals but also provides a reference for decision-making on how digital technology can empower corporate green governance and promote sustainable economic growth.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The impact of digital transformation on corporate green governance under carbon peaking and neutrality goals: Evidence from China

Wang,

Guo,

et al. 2024

PLoS ONE

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“…For instance, the adoption of digital technology may supplant certain roles within the agricultural sector, precipitating unemployment. Similarly, the deployment of robots is likely to diminish the demand for low-skilled labor [32]. However, on the contrary, some researchers believe that digitization can promote employment.…”

Section: Relationship Between Digitalization and Sustainable Employmentmentioning

confidence: 99%

Digitalization’s Effect on Chinese Employment Mechanism Study

Zhao,

Tang

2024

Sustainability

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The influence of the digital revolution on the labor market is undeniably profound. While much of the existing research has concentrated on the role of digitalization in boosting employment rates, its impact on the long-term sustainability of employment remains largely unexplored. In the context of prevailing uncertainties, the imperative to bolster employment resilience through digitalization becomes increasingly apparent. This study aims to bridge the existing gap by introducing an innovative analytical framework that integrates digitalization, enterprise resilience (ER), and sustainable employment (SE). Focusing on publicly listed companies within China’s manufacturing sector, the research employs fixed effects models and mediation analysis to intricately explore the interactions among these variables. The investigation yields several pivotal insights: (1) digitalization has a significantly positive impact on sustainable employment; (2) enterprise resilience acts as a positive mediator in the relationship between digitalization and sustainable employment; (3) through heterogeneity analysis, it is demonstrated that digitalization plays a more pronounced role in bolstering employment stability in non-high-tech industries and companies exhibiting superior financial health in the eastern region. These findings offer critical perspectives for informing government policy and devising corporate strategies that capitalize on digitalization and enhance enterprise resilience, thereby promoting more sustainable employment trajectories.

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“…It is important to improve the green innovation's efficiency to drive the shift towards sustainability in the manufacturing sector. According to Lin and Xie (2023), leveraging digital technology for digital transformation can enhance management efficiency and drive green innovation within the manufacturing industry through research and development subsidies, ultimately fostering a green transformation. Nevertheless, the use of digital technology requires a significant amount of energy resources, leading to electronic pollution, which contradicts the principles of high-quality ecological environment (Loeser et al,2017).…”

Section: Introductionmentioning

confidence: 99%

Influencing Factors as well as Implementation Path of Synergistic Development of Digitalization and Greening in Manufacturing Industry: Analysis from a Configuration Perspective

haiyong,

Han,

Qin

2024

REA

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<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The manufacturing sector must incorporate digitalization and greening as crucial strategies to attain high level of development in the context of the digital economy, given its significant role in quality of environment. Most of existing studies explore net effect of a single or several factors on the digitalization or greening in the manufacturing industry. Limited investigation has been done to integrate various factors impacting the connection and synchronized advancement of digitalization and greening within the manufacturing. Factors affecting the synergy of digitalization and green change within manufacturing are recognized in this article, and a theoretical framework is established to analyze. FsQCA tool is also put into use to survey configurational cases, which contains synergy degree of green digitalization from 30 provinces’ manufacturing in China. Results show that: (1) Between 2007 and 2020, the development level of digital-green integration in the manufacturing industry shows an upward trend. There are three types of collaborative modes, namely, "industrial robot driven" "market development driven" and "market development driven - industrial robot driven", with each mode consisting of at least one to four equivalent pathways. (2) The marketization level and application of industrial robots are the important external and internal pulling forces that drive the synergy degree of digitalization and green change within manufacturing industry, respectively.(3) The influencing factors of the collaborative mode choice of digital-green development within manufacturing industry are complementary, among which, the degree of marketization is similar to the role of industrial robots in the configuration, which are capable to weaken the negative impact from insufficient government R&D investment support under specific conditions; (4) The non-high collaborative state of digital green in manufacturing industry is mainly due to the low level of marketization, openness, and economic development, as well as the low application rate of industrial robots and software products. This study enriches the theoretical understanding on digitalization and green change of manufacturing industry. Meanwhile, it also provides insights to advance the integrated and synergistic advancement of digital green transformation in manufacturing practice.</span></p>

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Impact assessment of digital transformation on the green innovation efficiency of China's manufacturing enterprises

Cited by 20 publications

References 63 publications

The impact of digital transformation on corporate green governance under carbon peaking and neutrality goals: Evidence from China

The impact of digital transformation on corporate green governance under carbon peaking and neutrality goals: Evidence from China

Digitalization’s Effect on Chinese Employment Mechanism Study

Influencing Factors as well as Implementation Path of Synergistic Development of Digitalization and Greening in Manufacturing Industry: Analysis from a Configuration Perspective

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