Exploring the influencing factors of carbon neutralization in Chinese manufacturing enterprises

Zhu, Jianhua; Dou, Zixin; Yan, Xu; Yu, Longzhen; Lu, Ying

doi:10.1007/s11356-022-21386-5

Cited by 21 publications

(20 citation statements)

References 76 publications

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“…Referencing prior research, the following variables were chosen as control variables [ 9 , 41 , 43 , 44 ]. (1) Population size ( Ps ): Population growth usually causes a rise in domestic carbon emissions [ 34 ]; thus it is very likely that population size positively impacts manufacturing carbon emissions. The number of permanent residents at the end of the year in each province is utilized to assess the regional population size.…”

Section: Methods and Datamentioning

confidence: 99%

“…As for the connection between green innovation and manufacturing carbon emissions, on the one hand, green innovation can promote the improvement and application of clean energy, green technology, and energy-saving equipment, which helps to lower manufacturing carbon emissions from the source and production process. Studies by Lee and Min [ 32 ], Lu et al [ 15 ], Mandal and Pal [ 33 ], and Zhu et al [ 34 ] all support that green innovation aids in decreasing carbon emissions. On the other hand, some research also demonstrates that innovation is not always helpful for manufacturing carbon emission abatement [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

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Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective

Zhang

Rongping

Fentaw

et al. 2022

IJERPH

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The achievement of China’s low-carbon development and carbon neutrality depends heavily on the decrease of manufacturing carbon emissions. From coagglomeration’s dynamic evolution perspective, by using panel-threshold-STIRPAT and mediation-STIRPAT models, this study examines the relationships among industrial coagglomeration, green innovation, and manufacturing carbon emissions and explores the direct and indirect function mechanisms. Panel data of China’s 30 provinces from 2010 to 2019 are employed. The results imply that, first, the impact of industrial coagglomeration on manufacturing carbon emissions is nonlinear and has significant threshold effects. Industrial coagglomeration negatively affects manufacturing carbon emissions, and as the coagglomeration level deepens, the negative effect has a diminishing trend in marginal utility. Once the coagglomeration degree exceeds a certain threshold, the negative impact becomes insignificant. At present, for 90% of China’s regions, an increase in industrial coagglomeration level can help reduce manufacturing carbon emissions. Second, green innovation is a vital intermediary between industrial coagglomeration and manufacturing carbon emissions. It is a partial intermediary when industrial coagglomeration is at a relatively lower-level stage and a complete intermediary when industrial coagglomeration is at a relatively higher-level stage. These findings reveal the significance of optimizing industrial coagglomeration and the level and efficiency of green innovation to decrease carbon emissions.

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Section: Methods and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective

Zhang

Rongping

Fentaw

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Scholars like Lu et al [ 18 ] elucidated that digitalization aids enterprises in acquiring and analyzing data, augmenting customer perception, and attaining personalized customization along with networked collaborative transformation. Notwithstanding the progressive universally applicable and integrative nature of digital technology, which proffers novel avenues for value creation [ 19 ], digitization is exerting a profound impact on industries, society, and the economy [ 20 ]. Nevertheless, extant research on digitization has yet to distinctly delineate how manufacturing enterprises harness emergent digital technologies like big data, the IoT, and industrial Internet platforms to refine products, iterate business models, and reshape the dynamics of value creation.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Antecedent configuration pathways for manufacturing-enterprise digital servitization: Based on a technology-organization-environment theoretical framework

Zhang,

Zhao,

Zhou

2024

PLoS ONE

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The expeditious advancement and elevation of the manufacturing industry’s transformation and upgrading represent pivotal strides for China in its ascent toward the upper echelons of the global manufacturing value chain. Currently, China’s manufacturing-industry transformation faces the dual-lag quandary of digitalization and servitization. The notion of digital servitization elucidates the interdependent relationship between digitalization and servitization, unveiling the mechanisms underlying the formation of digital servitization. This holds significant implications for advancing the comprehension of digitalization and servitization and, crucially, facilitates the acceleration of China’s manufacturing sector transitioning from production-centric to service-centric paradigms. Harnessing the technology-organization-environment (TOE) theoretical framework, we constructed a model elucidating the driving factors underpinning manufacturing digital servitization. By employing the fuzzy-set qualitative comparative analysis (fsQCA), we explored strategic decisions and path dependencies in the transformation of manufacturing digital servitization, offering valuable insights to foster China’s manufacturing sector in its digital-servitization journey. The following findings were obtained. (1) A singular condition was insufficient as a prerequisite for manufacturing digital servitization and necessitated the coordinated alignment of multiple variables. (2) Three pathways existed for achieving manufacturing digital servitization: TOE, organization-environment collaborative-oriented, and technology-organization collaborative-oriented. (3) The progression of manufacturing digital servitization resulted from the collective impact of numerous factors, exhibiting a characteristic of different paths leading to the same destination. Various manufacturing enterprises pursued distinct trajectories to achieve digital servitization, contingent upon their unique circumstances. These findings have the potential to provide valuable insights for effectively fostering manufacturing digital servitization.

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“…The digital economy penetrates through digital technology and reduces the information barriers between enterprises and industries. Further, it promotes industrial efficiency and create synergy while using modern science and technology [ 19 ]. It innovates the production process of traditional industries through innovative management options and realizes the servitization of industrial structure [ 20 ].…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

Digital economy, innovation factor allocation and industrial structure transformation—A case study of the Yangtze River Delta city cluster in China

Chang,

Yang,

Abdullah

2024

PLoS ONE

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The attainment of regional high-quality development necessitates the critical role of the digital economy in facilitating the transformation of industrial structures. This study intends to investigate the effect of the digital economy on industrial structure transformation from the perspective of innovation factor allocation using a panel dataset of 41 cities in the Yangtze River Delta region for the period from 2011 to 2020. This paper considers four dimensions to measure the level of industrial structure transformation i.e. industrial structure servitization, industrial structure upgradation, service industry structure upgradation and industrial interaction level. The results of the study suggest that the digital economy can significantly improve industrial structure transformation. The results remain consistent even after several robustness checks. Further, the analysis of the mechanism of action shows that the digital economy can promote industrial structure transformation by optimizing the innovation factor allocation. The study provides several policy implications for the digital economy and its role in the promotion of industrial structure transformation.

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Exploring the influencing factors of carbon neutralization in Chinese manufacturing enterprises

Cited by 21 publications

References 76 publications

Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective

Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective

Antecedent configuration pathways for manufacturing-enterprise digital servitization: Based on a technology-organization-environment theoretical framework

Digital economy, innovation factor allocation and industrial structure transformation—A case study of the Yangtze River Delta city cluster in China

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