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大数据在农业经济问题研究中的应用展望

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大数据引起社会科学研究范式变革的观点已得到普遍认可.在此背景下,本文探究如何基于大数据时代丰富的数据资源与方法开展农业经济问题的研究.具体地,本文提出大数据农业经济预测、基于大数据的农业经济知识发现与因果识别、高频实时农业经济指标构建三种应用思路并进行相应的阐释.同时,本文阐述了利用大数据进行农业经济研究所面临的问题,并从加强数据平台建设、注重多源数据融合、重视传统模型与大数据分析技术的结合三个方面给出相应的建议.本文的研究对于形成中国特色的农业经济理论,指导"三农"工作发展具有重要意义.
The Application Outlook of Big Data in Agricultural Economic Research
It's widely accepted that big data has led to changes of the research paradigm of social science.This paper explores the application of big data in agricultural economics from the perspectives of economic prediction,knowledge discovery and causal inference,and high-frequency real-time indi-cators construction.In addition,problems encountered when applying big data to agricultural economic research are discussed,and suggestions are proposed,including strengthening construction of data plat-form,emphasizing multi-sources data fusion,integration of traditional model and big data analytics methods.The paper is of great significance for the development of rural areas.

Big dataNowcastingKnowledge discoveryCausal inferenceHigh-frequency real-time indicators

刘涛雄、尹德才

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清华大学社会科学学院,北京,100084

大数据 现时预测 知识发现 因果识别 高频实时农业经济指标

2024

农业经济问题
中国农业经济学会 中国农业科学院农业经济与发展研究所

农业经济问题

CSTPCDCSSCICHSSCD北大核心
影响因子:3.177
ISSN:1000-6389
年,卷(期):2024.(8)
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