China's provincial carbon emission driving factors analysis and scenario forecasting

Li, Siyao; Yao, Lili; Zhang, Yuchi; Zhao, Yixin; Sun, Lu

doi:10.1016/j.indic.2024.100390

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Upgrading the fishing capacity per energy consumption unit and transforming it into a low-energy and high-efficiency fishing mode will promote carbon reduction (Liu et al, 2023;Xu et al, 2023). Meanwhile, the government should distribute the emission reduction tasks in provinces according to their development reality, with a focus on those provinces that have substantial carbon emissions (Li et al, 2024).…”

Section: Spatiotemporal Evolutions Of Carbon Budget From the Provinci...mentioning

confidence: 99%

Spatio-temporal differences and simulation studies of the carbon budget from fisheries in the northern marine economic circle of China

Jia,

Liu,

Guan

et al. 2024

Front. Mar. Sci.

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With the proposal of dual carbon goals, enhancing carbon sinks and reducing carbon emissions has become a critical issue. Fisheries, as a component of agriculture, possess the dual attributes of being a “carbon sink” (biological carbon fixation) and a “carbon source” (the carbon emissions from fishing vessels). Therefore, it is necessary to assess the carbon sink and carbon emission levels of fisheries. The northern marine economic circle, which includes Liaoning, Hebei, Tianjin, and Shandong, is an important site for fisheries in China, characterized by abundant aquatic resources. However, a comprehensive assessment of the carbon budget for fisheries in this region is still unclear. This study calculated the carbon sinks, carbon emissions, and net carbon emissions associated with fisheries in the region from 2013 to 2020. Additionally, we used sensitivity analysis and scenario simulation to explore the factors influencing the net carbon emissions. The results revealed that the carbon budget of the northern marine economic circle was in a carbon deficit (the amount of carbon emissions was higher than that of carbon sinks) from 2013 to 2020. However, a downward trend in the net carbon emissions was observed, indicating the potential of achieving carbon neutrality. From the perspective of provinces, significant differences among provinces (cities) were found in terms of carbon sinks, carbon emissions, and net carbon emissions, with Shandong having the largest net carbon emissions. Furthermore, the production of clams and the use of seawater trawl net have a significant impact on the net carbon emissions. Increasing the production of clams while reducing the power of trawling operations can significantly decrease net carbon emissions. Based on these results, this study provides relevant suggestions to enhance the carbon sink capacity and decrease the carbon emissions of fisheries in the northern marine economic circle.

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Section: Spatiotemporal Evolutions Of Carbon Budget From the Provinci...mentioning

confidence: 99%

Spatio-temporal differences and simulation studies of the carbon budget from fisheries in the northern marine economic circle of China

Jia,

Liu,

Guan

et al. 2024

Front. Mar. Sci.

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show abstract

“…Grassland, forest, shrubland, and wetland are identified as major carbon sinks, whereas construction land and cultivated land are recognized as primary carbon sources [17]. The basis of research on carbon emissions from land use rests on the accounting of carbon emissions, and currently, the main methods include field measurements [18], carbon emission coefficient method [19], model calculations [20], and remote sensing estimation [21]. Among these, the carbon emission coefficient method, due to its simplicity, practicality, and broad applicability, has been widely adopted [19,22].…”

Section: Introductionmentioning

confidence: 99%

“…The basis of research on carbon emissions from land use rests on the accounting of carbon emissions, and currently, the main methods include field measurements [18], carbon emission coefficient method [19], model calculations [20], and remote sensing estimation [21]. Among these, the carbon emission coefficient method, due to its simplicity, practicality, and broad applicability, has been widely adopted [19,22]. Building upon carbon emission accounting, scholars have conducted studies at various scales and perspectives, focusing on aspects like carbon emission intensities [23], spatiotemporal variations [24], evolutionary patterns [25], driving factors [26], and optimization strategies [27].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Effects and Optimization Strategies of Land-Use Carbon Emissions at the County Scale: A Case Study of Shaanxi Province, China

Zhang,

Li,

Liu

et al. 2024

Sustainability

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Land use, as one of the major sources of carbon emissions, has profound implications for global climate change. County-level land-use systems play a critical role in national carbon emission management and control. Consequently, it is essential to explore the spatiotemporal effects and optimization strategies of land-use carbon emissions at the county scale to promote the achievement of regional dual carbon targets. This study, focusing on Shaanxi Province, analyzed the spatiotemporal characteristics of land use from 2000 to 2020. By establishing a carbon emission evaluation model, the spatiotemporal effects of county-level carbon emissions were clarified. Utilizing Geodetector and K-means clustering methods, the driving mechanisms and clustering characteristics of county-level carbon emissions were elucidated, and optimization strategies for land use carbon emission were explored. The results showed that during 2000–2020, land use in Shaanxi Province underwent significant spatiotemporal changes, with constructed land increasing by 97.62%, while cultivated land and grassland were substantially reduced. The overall county-level carbon emissions exhibited a pattern of North > Central > South. The total carbon emissions within the province increased nearly fourfold over 20 years, reaching 1.00 × 108 tons. Constructed land was the primary source of emissions, while forest land contributed significantly to the carbon sink of the study area. Interactions among factors had significant impacts on the spatial differentiation of total county-level carbon emissions. For counties with different types of carbon emissions, differentiated optimization strategies were recommended. Low-carbon emission counties should intensify ecological protection and rational utilization, medium-carbon emission counties need to strike a balance between economic development and environmental protection, while high-carbon emission counties should prioritize profound emission reduction and structural transformation.

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Analysis of influencing factors and carbon emission scenario prediction during building operation stage

Luo,

Liu,

Liu

et al. 2025

Energy

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China's provincial carbon emission driving factors analysis and scenario forecasting

Cited by 3 publications

References 15 publications

Spatio-temporal differences and simulation studies of the carbon budget from fisheries in the northern marine economic circle of China

Spatio-temporal differences and simulation studies of the carbon budget from fisheries in the northern marine economic circle of China

Spatiotemporal Effects and Optimization Strategies of Land-Use Carbon Emissions at the County Scale: A Case Study of Shaanxi Province, China

Analysis of influencing factors and carbon emission scenario prediction during building operation stage

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