How can marine fishery enable low carbon development in China? Based on system dynamics simulation analysis

Liu, Guangliang; Xu, Yang; Ge, Wenfeng; Yang, Xiaodong; Su, Xufeng; Shen, Bing; Ran, Qiying

doi:10.1016/j.ocecoaman.2022.106382

Cited by 25 publications

(18 citation statements)

References 60 publications

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“…No matter how the industry chain is subdivided, it all pertains to nuclear technology, nuclear technology products and applications of nuclear technology products (technologies). Therefore, the carbon footprint calculation based on the life cycle assessment method is mainly performed from these three links (Liu et al, 2023).…”

Section: Io Methodsmentioning

confidence: 99%

Calculation of the Environmental Carrying Capacity of the Civil Nuclear Technology Application Industry Based on its Carbon Footprint

Yuying,

Shiwei

2023

Journal of Resources and Ecology

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Section: Io Methodsmentioning

confidence: 99%

Calculation of the Environmental Carrying Capacity of the Civil Nuclear Technology Application Industry Based on its Carbon Footprint

Yuying,

Shiwei

2023

Journal of Resources and Ecology

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“…In the realm of ecological safety and differentiated management, Hu M. et al [3] employed spatial analysis to investigate the spatial discrepancies in ecological safety in China's Pearl River Delta, emphasizing the importance of zonal management in ecological conservation. Subsequently, Liu G. et al [32] explored how China could achieve low-carbon development through marine fisheries using system dynamics simulation analysis. Furthermore, Magnuszewski P. et al [33] investigated the role of relational practices in water management through gamification, hinting at the potential of simulation and gaming in fostering collaborative governance practices.…”

Section: Application Of System Simulation Technology In Environmental...mentioning

confidence: 99%

Tripartite Coordinated Governance Evolutionary Game and System Simulation Study on the Ecological Environment in China’s Pearl River Basin

Gong,

Zhang,

Wang

et al. 2024

Pol. J. Environ. Stud.

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The aim of this study is to dissect and enhance the tripartite collaborative governance mechanisms among polluting enterprises, the public, and government regulatory bodies within the scope of China's recent healthcare reforms. Through the lens of an evolutionary game model, this research seeks to understand the strategic evolutionary equilibrium among these actors and evaluate the impact of various incentives and penalties on their decision-making processes. Utilizing an evolutionary game model from a bounded rationality perspective, it investigates the strategic evolutionary equilibrium among the stakeholders and the influence of various factors on their strategic evolution. A critical equilibrium point E5(1,1,0) was identified, where enterprises adopt clean production strategies, the public engages in environmental governance, and the government exercises lenient regulatory strategies. Empirical analysis employing real-world data further substantiates the theoretical findings, showcasing how governmental bodies can drive clean production measures among polluting enterprises through economic incentives or penalties. The study outlines pivotal measures for achieving collaborative ecological governance in the Pearl River Delta region, such as establishing an information sharing platform, augmenting government regulation and enforcement, encouraging clean production in enterprises, enhancing public participation, and bolstering support for technological innovation. These measures could promote continuous environmental amelioration and sustainable development in the region. The findings offer both theoretical and practical insights for multifaceted environmental governance

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“…Compared to the years 1850-1900, global temperatures will be 1.09 °C higher from January to September in 2021, on average, which is currently ranked by the World Meteorological Organization as one of the warmest years on record globally (Ribes et al, 2021;Scafetta, 2021). The above facts demonstrate that it is urgent to find breakthrough solutions to speed emission reduction of economic activities to control the increasingly severe climate warming problem (Liu et al, 2023). As a significant living space for human economic activities, the participation of the land factor is indispensable for most economic activities.…”

Section: Introductionmentioning

confidence: 99%

Effects of China’s land-intensive use on carbon emission reduction: A new perspective of industrial structure upgrading

Qiu

Liang

et al. 2022

Front. Environ. Sci.

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The rapid and disorderly expansion of urban construction land has resulted in massive carbon emissions, intensifying the contradiction between land use and low-carbon development. As an essential tool to increase land use efficiency, whether land-intensive use can balance economic and environmental benefits has emerged as a topical issue. This paper investigates the influence of land-intensive use on carbon emissions and its role mechanism under the perspective of industrial structure upgrading by using a two-way fixed-effects model with provincial panel data from 2008 to 2020 in China. The statistical results reveal that land-intensive use not only reduces carbon emissions but also boosts carbon emission efficiency, which achieves carbon emission reduction from both quantity and quality aspects. The carbon emission reduction effect of land-intensive use is mainly manifested in energy, capital, science, and education factors of land-intensive use. The carbon emission reduction benefits obtained through land-intensive use are more noticeable in regions with higher economic development levels. Land-intensive utilization is mainly responsible for carbon emission reduction through promoting industrial structure advanced quality. Our findings suggest that policy makers shall expedite land intensive use development, appropriately synchronize land use levels across regions, and adequately leverage the role mechanisms of advanced industrial structure as a potent measure to promote carbon emission reduction.

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How can marine fishery enable low carbon development in China? Based on system dynamics simulation analysis

Cited by 25 publications

References 60 publications

Calculation of the Environmental Carrying Capacity of the Civil Nuclear Technology Application Industry Based on its Carbon Footprint

Calculation of the Environmental Carrying Capacity of the Civil Nuclear Technology Application Industry Based on its Carbon Footprint

Tripartite Coordinated Governance Evolutionary Game and System Simulation Study on the Ecological Environment in China’s Pearl River Basin

Effects of China’s land-intensive use on carbon emission reduction: A new perspective of industrial structure upgrading

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