From the current perspective, rural revitalization is an important hot issue in China. With the rapid development of agriculture in recent years, agriculture has entered an important stage of transformation to modernization, and the environment and conditions of agricultural development are different from those in the past, and the development field is also more extensive. Therefore, it is also necessary for agricultural statistics to keep pace with the development of the times and quickly adapt to the new situation and new requirements. Based on it, this paper analyzes the significance of agricultural statistics in rural revitalization and proposes strategies for the implementation of agricultural statistics in this context for reference.

Sun Xiaobin. Research on Agricultural Statistics to Boost Rural Revitalization. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 11: 87-91. https://doi.org/10.25236/FSST.2022.041114.

[1] The research group of Zhejiang Provincial Bureau of Statistics, Zhu Yuan, Zhang Yadong. Cultivating a Better "Future" in the Field of Hope - A Research Report on the Investment Status of Rural Revitalization in Zhejiang [J]. Statistical Theory and Practice, 2022(08):45-48.

[2] He Yujing, Zhang Weiwei. Analysis on the Coupling and Coordinated Development of China’s Provicial Rural Basic Public Services and Rural Revitalization and Its Influencing Factors: From the Perspective of Rural Multidimensional Relative Poverty [J]. Chongqing Social Sciences, 2022(08):48-68.

[3] Li Bing. The Mechanism and Path of Green Transformation of Rural Energy for Rural Revitalization in Henan [J]. Rural Areas, Agriculture & Farmers (B), 2022(07):13-14.

[4] Hu Chao, Sun Jiguo. Does Digital Inclusive Finance Help Promote Rural Revitalization in a Comprehensive Manner? --An Empirical Analysis Based on Panel Data of 30 Provinces and Cities [J]. Journal of Hebei Agricultural University (Social Sciences), 2022, 24(04):57-67.

[5] Zhen Meiqin. An Analysis of the Importance of Agricultural Statistical Services for Rural Revitalization Development [J]. China Agricultural Machinery Safety Supervision, 2022(03):37-39.

[6] Ren Guoping, Liu Liming, Li Hongqing, Ji Xiang, Yin Gang. Pattern Optimization for Integrated Rural Land Management with an Improved Entropy Weight DEA-TOPSIS Model [J]. Journal of Geo-information Science, 2022, 24(02):280-298.

[7] Liang Dong, Jia Xinwei, Li Tao. Analysis of Agricultural and Rural Information Collection in the Context of the Implementation of Rural Revitalization Strategy [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2020, 41(10):165-169.