Study on carbon emission reduction effect of institutional openness in China

Guo, Jinguang; Wang, Hongli

doi:10.1038/s41598-023-27442-5

Cited by 12 publications

(8 citation statements)

References 79 publications

(72 reference statements)

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“…These are crucial for the first, second and fourth groups to achieve CO 2 emissions peak before 2030. (ii) green and digital technology 57 – 59 , e.g., carbon capture and storage (CCS). Carbon capture and storage technology could capture CO 2 released from burning fossil fuels or biomass, and store it underground.…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

The trajectory of carbon emissions and terrestrial carbon sinks at the provincial level in China

Hu,

Li,

Zhang

et al. 2024

Sci Rep

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Global greenhouse gas emission, major factor driving climate change, has been increasing since nineteenth century. STIRPAT and CEVSA models were performed to estimate the carbon emission peaks and terrestrial ecosystem carbon sinks at the provincial level in China, respectively. Utilizing the growth characteristics and the peak time criteria for the period 1997–2019, the patterns of energy consumption and CO2 emissions from 30 Chinese provinces are categorized into four groups: (i) one-stage increase (5 provinces), (ii) two-stage increase (10 provinces), (iii) maximum around 2013 (13 provinces), and (iv) maximum around 2017 (2 provinces). According to the STIRPAT model, the anticipated time of peak CO2 emissions for Beijing from the third group is ~ 2025 in both business-as-usual and high-speed scenarios. For Xinjiang Uygur autonomous region from the first group and Zhejiang province from the second group, the expected peak time is 2025 to 2030. Shaanxi province from the fourth group is likely to reach carbon emission peak before 2030. The inventory-based estimate of China’s terrestrial carbon sink is ~ 266.2 Tg C/a during the period 1982–2015, offsetting 18.3% of contemporary CO2 emissions. The province-level CO2 emissions, peak emissions and terrestrial carbon sinks estimates presented here are significant for those concerned with carbon neutrality.

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Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

The trajectory of carbon emissions and terrestrial carbon sinks at the provincial level in China

Hu,

Li,

Zhang

et al. 2024

Sci Rep

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“…Drawing from relevant research 43,44,45 , this study includes the following control variables: Foreign direct investment (fdi), represented by the ratio of foreign direct investment to regional gross domestic product. (5) Government intervention (gov), signified by the ratio of government fiscal expenditures to regional gross domestic product.…”

Section: Control Variablesmentioning

confidence: 99%

How does digital trade promote carbon emissions reduction? A dual perspective on supply and demand

Zhu,

Bao,

Qin

2024

Preprint

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Digital trade assumes a vital role in tackling critical challenges such as the mitigation of carbon emissions and the pursuit of sustainable development. This study draws upon panel data encompassing 30 provinces and municipalities in China spanning the years 2013 to 2021. By establishing an index system to gauge regional digital trade development levels, the article examines the impact mechanism and spillover effects of digital trade on carbon reduction from both the supply and demand perspectives. The research results show that: (1) Digital trade can effectively promote regional carbon reduction, with a more pronounced effect in China's central and western regions and lower carbon emissions regions. (2) Digital trade further suppresses regional carbon emissions through green technological innovation and upgrades in residential consumption structure. (3) Digital trade has spillover effect on carbon emissions, and this “neighborhood effect” is greater than the “local effect”. Digital trade provides strong support for carbon reduction and sustainable development and also provides a strategic direction for government policy formulation.

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“…This study explores the effects of future LUCC on Shanghai's carbon stock under various scenarios using the InVEST model, which is significant for the future understanding of the regional terrestrial ecosystems in Shanghai and also helps to target the implementation of improvement measures in the future. Through the simulated projections of the two scenarios of natural development and ecological protection, it is recommended that the Shanghai Municipal Government (i) strictly control the scale of land for built-up and implement strict cropland protection measures; (ii) implement policies to promote sustainable land use, such as land zoning, conservation easements, and carbon sequestration incentives [45]; and (iii) implement ecological initiatives, such as those that safeguard wetlands and natural forests [19]. As a part of the demonstration zone of green and integrated ecological development of the Yangtze River Delta, Qingpu District has great potential to contribute to the regional carbon stock.…”

Section: Carbon Stock Capacity Predictions For Shanghai Under Various...mentioning

confidence: 99%

Spatiotemporal Evolution and Prediction of Land Use and Carbon Stock in Shanghai

Xu,

Yu,

Lin

et al. 2024

Land

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Soil organic carbon (SOC) constitutes a critical component of carbon reservoirs within terrestrial ecosystems. The ramifications of urban land use transitions on SOC dynamics, particularly in rapidly urbanizing regions such as Shanghai, remain insufficiently elucidated. This investigation synergizes a predictive land use change model (Logistic-CA-Markov) with an ecosystem service quantification framework (InVEST), aiming to delineate the interplay between SOC variability and Land Use and Land Cover Change (LUCC) under natural development and ecological protection scenarios. Empirical observations from 2010 to 2020 reveal a contraction in Shanghai’s agricultural land of 34,912.76 hectares, juxtaposed with an expansion of urban built-up areas of 36,048.24 hectares. Projections for 2030 under an ecological protection scenario indicate a moderated urban sprawl, reducing built-up area expansion by 13,518 hectares relative to the natural development scenario. Notably, the net carbon sequestration capacity of Shanghai is anticipated to diminish by approximately 0.418 million tons between 2020 and 2030. This trend is observed under both considered scenarios, forecasting a cumulative reduction in SOC stocks exceeding 1 million tons by 2030. The natural development pathway portends a more pronounced and accelerated depletion of SOC reserves. Although ecological conservation measures show the potential to decelerate this loss, they appear insufficient to reverse the ongoing decline in SOC stocks. This study advocates for strategic urban planning interventions focused on constraining the growth of building densities and augmenting the preservation and management of eco-lands. Such measures are imperative for bolstering Shanghai’s carbon sequestration capacity.

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Study on carbon emission reduction effect of institutional openness in China

Cited by 12 publications

References 79 publications

The trajectory of carbon emissions and terrestrial carbon sinks at the provincial level in China

The trajectory of carbon emissions and terrestrial carbon sinks at the provincial level in China

How does digital trade promote carbon emissions reduction? A dual perspective on supply and demand

Spatiotemporal Evolution and Prediction of Land Use and Carbon Stock in Shanghai

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