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Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Research on the New Development Model of Low-carbon Agriculture in Liangshan Prefecture, Sichuan

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344742,
        author={Zhengze  Yuan},
        title={Research on the New Development Model of Low-carbon Agriculture in Liangshan Prefecture, Sichuan},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={low-carbon agriculture; agricultural tourism integration; entropy weight law; coupled coordination model},
        doi={10.4108/eai.8-12-2023.2344742}
    }
    
  • Zhengze Yuan
    Year: 2024
    Research on the New Development Model of Low-carbon Agriculture in Liangshan Prefecture, Sichuan
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344742
Zhengze Yuan1,*
  • 1: Qingdao No.2 Middle School Shandong
*Contact email: zhengzeyuanqd@126.com

Abstract

In 2020, General Secretary Xi Jinping introduced the "dual carbon" imperative, encompassing the objectives of achieving a carbon peaking and carbon neutrality. This directive unequivocally signifies China's intent to shift its economic development paradigm towards a low-carbon trajectory. As agriculture is a substantial contributor to carbon emissions, the development of low-carbon agriculture has become a pivotal facet within the broader pursuit of a low-carbon economy. This study focuses its research on Liangshan Prefecture, located within the province of Sichuan, China. The research constructs a comprehensive evaluation index system for low-carbon agricultural development level in Liangshan Prefecture of Sichuan Province, which includes four first-level indicators of agricultural carbon emissions, agricultural carbon sink level, resource element input, and low-carbon agricultural economy, and twelve second-level indicators which are determined through the utilization of the entropy weight method.

Keywords
low-carbon agriculture; agricultural tourism integration; entropy weight law; coupled coordination model
Published
2024-04-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.8-12-2023.2344742
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