Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

Research on Agricultural Trade Potential between Hebei Province and RCEP Member Countries under the Background of Rural Revitalization——Based on the Time-varying Stochastic Frontier Gravity Model

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347182,
        author={Yakun  Wang and Ruiting  Zhang and Bing  Jiang},
        title={Research on Agricultural Trade Potential between Hebei Province and RCEP Member Countries under the Background of Rural Revitalization------Based on the Time-varying Stochastic Frontier Gravity Model},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={agricultural trade; hebei province; rcep; time-varying stochastic frontier gravity model; rural revitalization},
        doi={10.4108/eai.12-1-2024.2347182}
    }
    
  • Yakun Wang
    Ruiting Zhang
    Bing Jiang
    Year: 2024
    Research on Agricultural Trade Potential between Hebei Province and RCEP Member Countries under the Background of Rural Revitalization——Based on the Time-varying Stochastic Frontier Gravity Model
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347182
Yakun Wang1, Ruiting Zhang1, Bing Jiang2,*
  • 1: Hebei University of Science and Technology
  • 2: Northeast Agricultural University
*Contact email: jiangbing2020@163.com

Abstract

Based on the data of agricultural trade between Hebei Province and RCEP member states from 2011 to 2021, this paper explores the main influencing factors of agricultural trade between Hebei Province and RCEP member states based on time-varying stochastic frontier gravity model and trade inefficiency model, and further calculates trade efficiency. In view of the above research, the paper makes relevant recommendations.