Transforming digital value chain ecosystems for dual-carbon target: An exploration of the BDS-RAS framework

Dou, Runliang; Hou, Yanchao; Lin, Kuo-Yi; Si, Shubin; Wei, Yixin

doi:10.1016/j.cie.2023.109861

Cited by 4 publications

(2 citation statements)

References 101 publications

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“…This paper explores the background of prioritizing ecological conservation and achieving the strategic goal of "dual carbon" [55][56][57][58], proposing a novel model for agricultural carbon compensation zoning to plan the agricultural carbon compensation areas at the township level. This study provides a more effective reference for future similar research.…”

Section: Innovationmentioning

confidence: 99%

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

Yang,

Zhang,

et al. 2024

Land

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Optimizing agricultural carbon compensation zoning is crucial for establishing robust mechanisms in agricultural carbon compensation management, with significant implications for achieving national “dual carbon” strategic objectives. This study employs K-means and the three-dimensional magic cube approach to construct a novel evaluation index system for comprehensive carbon compensation zoning. By combining spatial land-use zoning, we delineate carbon compensation zones in Guangshui City, Hubei Province, and analyze the spatiotemporal variations of agricultural carbon balance, proposing optimization strategies. The results show that (1) from 2000 to 2021, agricultural carbon emissions and absorption exhibit a trend of increasing followed by decreasing, with spatial patterns of “higher in the northwest, lower in the southeast” and “higher in the southwest, lower in the northeast”; (2) the Gini coefficient of agricultural carbon emissions averages at 0.24, with economic contribution coefficients and ecological carrying coefficients ranging from 0.04–16.1 and 0.39–1.99, respectively, from 2000 to 2021; and (3) in 2021, Guangshui City comprises seven payment zones, four balance zones, and six compensation zones, ultimately forming eight optimized agricultural carbon compensation zones in alignment with regional agricultural carbon balance objectives. This study provides theoretical references for enhancing county-level agricultural carbon comprehensive compensation management mechanisms.

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Section: Innovationmentioning

confidence: 99%

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

Yang,

Zhang,

et al. 2024

Land

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“…AI has been integrated into many activities, and its management is becoming essential in organizations (Vasquez, 2022;Linden, Tilman, & Laurent, 2023;Auza-Santiváñez et al, 2023). This is reflected in the growth of the global AI market, valued at $150.2 billion in 2023 and projected to increase at a CAGR of 36.8% between 2023 and 2030 (Dou et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Generative artificial intelligence in higher education learning: A review based on academic databases

Andrade-Girón,

Marín-Rodriguez,

Sandivar-Rosas

et al. 2024

Iberoamerican Journal of Science Measurement and Communication

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Objective. The rapid integration of Generative Artificial Intelligence (AI), especially tools like ChatGPT, into educational sectors has spurred significant academic interest. This review article provides a systematic examination of the current scholarly landscape concerning the use of ChatGPT within higher education. Design/Methodology/Approach. Drawing from a range of academic databases between 2022 and 2024, we meticulously adhere to PRISMA guidelines, evaluating a final set of 28 out of 1740 initial articles based on predetermined inclusion and exclusion criteria. Results/Discussion. Our analysis reveals diverse global contributions predominantly from Asia and identifies a prevalent quantitative research approach among the studies. We delve into the selected articles' geographical distribution, methodologies, and thematic outcomes, highlighting a notable lack of research from Latin America. The review critically assesses the validity, utility, and time optimization aspects of ChatGPT in educational settings, uncovering a positive impact on student learning and time management. However, we pinpoint a significant gap in rigorous experimental research, underscoring the need for studies with random sampling and controlled settings to enhance the external validity of findings. Additionally, we call attention to the ethical considerations and the necessity for higher education institutions to adapt teaching methodologies to incorporate AI effectively. Conclusion. The article concludes with recommendations for future research to address the identified gaps and optimize the educational use of generative AI technologies like ChatGPT.

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Governance effects of pollution reduction and carbon mitigation of carbon emission trading policy in China

Cheng,

Yu,

Gao

et al. 2024

Environmental Research

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Transforming digital value chain ecosystems for dual-carbon target: An exploration of the BDS-RAS framework

Cited by 4 publications

References 101 publications

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province

Generative artificial intelligence in higher education learning: A review based on academic databases

Governance effects of pollution reduction and carbon mitigation of carbon emission trading policy in China

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