How does green innovation drive urban carbon emission efficiency? —Evidence from the Yangtze River Economic Belt

Fang, Guochang; Gao, Zhengye; Wang, Li; Li, Tian

doi:10.1016/j.jclepro.2022.134196

Cited by 70 publications

(18 citation statements)

References 61 publications

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“…Various factors such as the strategies of other participants, their own R&D capabilities, and policy incentives influence the strategy choices of green innovation subjects. Within complex game relationships and resource allocation methods, the accomplishments of green innovation subjects collectively represent the comprehensive level of urban green innovation (Fang et al, 2022). Generally, the spatial distribution of this comprehensive level of green innovation is heterogeneous, with cities with high levels of green innovation generating spillover and suction effects, thereby promoting the migration or gathering of surrounding green innovation subjects and elements.…”

Section: Theory and Methodsmentioning

confidence: 99%

“…Within complex game relationships and resource allocation methods, the accomplishments of green innovation subjects collectively represent the comprehensive level of urban green innovation (Fang et al, 2022). Generally, the spatial distribution of this comprehensive…”

Section: Analysis Of the Formation Mechanism Of Green Innovation Networkmentioning

confidence: 99%

“…Green innovation is a novel innovation theory founded on a comprehensive analysis of multiple factors, including technological innovation, ecological governance, and economic transformation. It aims to reduce the negative externalities of production and enhance the carrying capacity and sustainability of the ecological environment (Fang et al, 2022; Wei et al, 2023). Green innovation is an organic integration of social, economic, humanistic, and technological values.…”

Section: Introductionmentioning

confidence: 99%

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Research on the diffusion of green innovation behavior based on complex network evolutionary game

Chen,

Yang,

Zhang

2023

Manage Decis Econ

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The strategic choice of green innovation subjects and the evolution of green innovation networks have a two‐way feedback effect. This study aims to construct a comprehensive framework for analyzing the evolution of green innovation networks from micro to macro levels. The gravity model demonstrates the structural complexity of green innovation networks. Additionally, an evolutionary game model based on green innovation networks is constructed to discuss the network's diffusion mechanism of green innovation behavior and its influence on network characteristic indicators. The research findings reveal that (1) the green innovation networks in China exhibit a continuous growth trend but the connectivity of urban nodes varies significantly; (2) the green innovation network's marginal nodes are the “vulnerable groups” in the evolutionary game and the active green innovation strategy cannot be completely spread; and (3) the cost of passive green innovation and the demand for green consumption are the internal and external driving forces that promote the spread of the active green innovation strategy in the network. Finally, this study concludes with several suggestions, including the establishment of a mechanism to promote green innovation reform with the city, industry, and enterprises as the node, fulcrum, and focus, respectively. Additionally, it suggests increasing domestic demand for green consumption. These findings and suggestions can provide a reference for the development of green innovation in other countries or regions.

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Section: Theory and Methodsmentioning

confidence: 99%

Section: Analysis Of the Formation Mechanism Of Green Innovation Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on the diffusion of green innovation behavior based on complex network evolutionary game

Chen,

Yang,

Zhang

2023

Manage Decis Econ

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“…Environmental regulation is another crucial factor influencing enterprise green innovation. Numerous studies have consistently demonstrated that environmental regulation significantly promotes green innovation among enterprises (Wang et al ., 2020; Fang et al ., 2021, 2022; Yang et al ., 2021; Liu et al. , 2022b; Siedschlag et al ., 2022).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…Environmental regulation is another crucial factor influencing enterprise green innovation. Numerous studies have consistently demonstrated that environmental regulation significantly promotes green innovation among enterprises (Wang et al, 2020;Fang et al, 2021Fang et al, , 2022Yang et al, 2021;Liu et al, 2022b;Siedschlag et al, 2022). Different types of environmental regulation tools have varying effects on enterprise green innovation (Peng et al, 2021;Wu et al, 2022).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Housing prices and green innovation: evidence from Chinese enterprises

Fang

2023

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PurposePromoting enterprises' green innovation is vital to realize the sustainable growth of cities and environmental protection and the rise of urban housing prices might affect the green innovation of enterprises to a certain extent. This study aims to discuss the aforementioned objective.Design/methodology/approachBased on the data of listed companies and urban housing prices of main cities in China from 2011 to 2019, this paper examines the impact of housing prices on enterprises' green innovation and analyzes the mechanism of rising housing prices on enterprises' green innovation.FindingsThe rise of urban housing prices can significantly promote the quality of green innovation of enterprises, but it has no significant impact on the quantity of green innovation. The heterogeneity test results show that the rising house prices have a more significant role in promoting the green innovation of non-state-owned enterprises, enterprises listed on the main board, enterprises in the central and western regions, and enterprises in non-first-tier cities. The mechanism research finds that the rise of urban housing prices has a financing relief effect and cost-pushing effect on the green innovation of enterprises.Originality/valueFirstly, it thoroughly examines the influence of housing prices on corporate green innovation. Second, it explores the differential impact of housing prices on enterprises' green innovation based on variations among enterprises and regions, offering valuable insights for the government to formulate proper policy. Lastly, it elucidates the influencing mechanism of housing prices on enterprise green innovation from the perspectives of corporate financing and costs, providing empirical support for enterprises to appropriately perceive the opportunities and challenges posed by rising housing prices and actively promote green innovation.

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Cities’ marginal carbon abatement costs’ heterogeneity and the potential benefits from emission trading schemes in the Yangtze River Delta Region

Zhu,

Jia,

Zhang

et al. 2023

Environ Dev Sustain

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How does green innovation drive urban carbon emission efficiency? —Evidence from the Yangtze River Economic Belt

Cited by 70 publications

References 61 publications

Research on the diffusion of green innovation behavior based on complex network evolutionary game

Research on the diffusion of green innovation behavior based on complex network evolutionary game

Housing prices and green innovation: evidence from Chinese enterprises

Cities’ marginal carbon abatement costs’ heterogeneity and the potential benefits from emission trading schemes in the Yangtze River Delta Region

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