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SD-LSTM: A Dynamic Time Series Model for Predicting the Coupling Coordination of Smart Agro-Rural Development in China

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成果类型:
期刊论文
作者:
Xiong, Chunlin;Zhang, Yilin;Wang, Weijie
通讯作者:
Xiong, CL
作者机构:
[Xiong, Chunlin; Zhang, Yilin] Hunan Agr Univ, Coll Publ Adm & Law, 1 Nongda Rd, Changsha 410128, Peoples R China.
[Wang, Weijie] Hengyang Normal Univ, Coll Comp Sci & Technol, Hengyang 421002, Peoples R China.
通讯机构:
[Xiong, CL ] H
Hunan Agr Univ, Coll Publ Adm & Law, 1 Nongda Rd, Changsha 410128, Peoples R China.
语种:
英文
关键词:
SD-LSTM;smart agro-rural development;digital rural construction;high-quality development of agriculture;coupling coordination
期刊:
Agriculture-Basel
ISSN:
2077-0472
年:
2025
卷:
15
期:
14
页码:
1491-
基金类别:
Conceptualization, C.X. and Y.Z.; methodology, Y.Z.; software, W.W.; validation, Y.Z., C.X. and W.W.; formal analysis, C.X.; investigation, Y.Z.; resources, C.X.; data curation, Y.Z.; writing—original draft preparation, Y.Z.; writing—review and editing, C.X., Y.Z. and W.W.; visualization, Y.Z.; supervision, C.X.; project administration, Y.Z.; funding acquisition, C.X. All authors have read and agreed to the published version of the manuscript. This work was supported by Chunlin Xiong of the Key Project of National Social Science Fund of China (24AZZ010); the National Social Science Foundation’s Post-funded Project “Evaluation and Optimization of Agricultural and Rural Informatization Policies” (22FGLB006); the Key Project of Changsha Soft Science Research Program: Research on Dynamic Evaluation, Simulation Prediction, and Optimization Path of High Quality Development of Rural Digital Economy in Changsha City (KH2502003); and the Hunan Province Social Science Foundation’s “Academic Hunan” High-quality Cultivation Project “Mechanism Innovation for Improving Rural Grassroots Governance Efficiency in the Era of Big Data” (23ZDAJ010).
机构署名:
本校为第一且通讯机构
院系归属:
公共管理与法学学院
摘要:
The rapid advancement of digital information technology in rural China has positioned smart agro-rural development as a key driver of agricultural modernization. This study focuses on the theme of digital rural construction (DRC) and high-quality agricultural development (HAD), combining the two into smart agriculture and rural development. Utilizing panel data from 31 Chinese provinces from 2011 to 2022, a comprehensive evaluation index system is constructed to assess development levels. The entropy weight method and kernel density estimation ...

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