Impact of rural e-commerce on county-level grain production: “crowding in” or “crowding out”

  • DENG Jinqian ,
  • LI Manjun
Expand
  • School of Economics, Lanzhou University, Lanzhou Gansu 730000, China

Received date: 2025-05-05

  Revised date: 2025-10-27

  Online published: 2026-06-05

Abstract

Food security is of paramount national importance. In the context of accelerating global digital technology penetration and profound transformations in consumption patterns, the development of rural e-commerce is a crucial measure for transforming agricultur-al development approaches and innovating rural business models. Revealing whether rural e-commerce “crowds in” or “crowds out” county-level grain production is of significant importance when considering the assurance of China's food self-sufficiency. This study utilized the “Taobao Village” initiative—a collaborative endeavor between Alibaba Group's Taobao e-commerce platform and local gov-ernments—to construct county-level panel data based on the number of Taobao Villages. The study systematically examined the impact of rural e-commerce on county-level grain production and its underlying mechanisms. The findings revealed the following: ① It is evi-dent that rural e-commerce development exerted a significant crowding-out effect on country-level grain production. This conclusion re-mained robust after endogeneity treatment and multiple robustness tests. ② The crowding-out effect of rural e-commerce development on county-level grain production demonstrated significant heterogeneity due to differences in agricultural functional zones, county ad-ministrative attributes, and geographic locations. The crowding-out effect was observed in production-consumption balanced areas and major grain-consuming regions, county-level cities and municipal districts, and western regions. ③ The crowding-out effect of rural e-commerce on county-level grain production was primarily achieved through the non-agricultural shift of the rural labor employment structure and the non-grain shift of the cultivated land planting structure. ④ Major grain-producing county reward policies could effec-tively correct the crowding-out effect of rural e-commerce development on county-level grain production, providing empirical evidence for better stabilizing grain production and safeguarding national food security in the digital economy era. Based on this, to achieve the objective of securing China's food self-sufficiency in the digital intelligence era, it is necessary to strengthen the integration of e-com-merce technology, platforms, and business models with county-level grain production; establish an “e-commerce + grain” collaborative development mechanism; increase subsidies for major grain-producing counties; and ensure that grain planting areas remain stable at safe levels.

Cite this article

DENG Jinqian , LI Manjun . Impact of rural e-commerce on county-level grain production: “crowding in” or “crowding out”[J]. China Population, Resources and Environment, 2026 , 36(3) : 159 -169 . DOI: 10.12062/cpre.20251015

References

[1] 唐跃桓,杨其静,李秋芸,等. 电子商务发展与农民增收:基于电子商务进农村综合示范政策的考察[J]. 中国农村经济,2020(6):75-94.
[2] 马俊凯,李光泗,韩冬. 数字经济赋能粮食供应链韧性:作用路径和政策取向[J]. 新疆社会科学,2023(1):46-54.
[3] 祝嘉良,蔡熙乾,陈锋. 数字经济真的缩小了收入差距吗:来自Meta 分析的发表偏倚证据[J]. 经济科学,2025(1):168-190.
[4] 伍骏骞,张星民. 粮食生产激励能促进农民增收和县域经济发展吗:基于产粮大县奖励政策的准自然实验[J]. 财经研究, 2023,49(1):124-138.
[5] 曾福生,蔡林军. 劳动力转移影响粮食生产韧性的理论机制与实证检验[J]. 华南农业大学学报(社会科学版),2024(5):84-94.
[6] BUREAU J C,SWINNEN J.EU policies and global food security[J]. Global food security,2018,16:106-115.
[7] HAMEED M,AHMADALIPOUR A,MORADKHANI H.Drought and food security in the middle east:an analytical framework[J]. Agricultural and forest meteorology,2020,281:107816.
[8] ZHOU X Y,LU G,XU Z,et al.Influence of Russia-Ukraine war on the global energy and food security[J]. Resources,conservation and recycling,2023,188:106657.
[9] 甘林针,钱龙,钟钰. 成效不彰VS 行之有效:粮食安全省长责任制促进了粮食生产吗?[J]. 经济评论,2024(2):22-35.
[10] ROZELLE S,TAYLOR J E,DEBRAUW A.Migration,remittanc-es,and agricultural productivity in China[J]. American economic review,1999,89(2):287-291.
[11] 侯孟阳,邓元杰,姚顺波. 城镇化、耕地集约利用与粮食生产: 气候条件下有调节的中介效应[J]. 中国人口·资源与环境, 2022,32(10):160-171.
[12] 钟甫宁,陆五一,徐志刚. 农村劳动力外出务工不利于粮食生产吗:对农户要素替代与种植结构调整行为及约束条件的解析[J]. 中国农村经济,2016(7):36-47.
[13] 杨青,贾杰斐,刘进,等. 农机购置补贴何以影响粮食综合生产能力:基于农机社会化服务的视角[J]. 管理世界,2023,39(12):106-123.
[14] 耿鹏鹏,汪成云,赵亮. 新一轮农地确权政策与中国粮食安全: 基于农地流转市场化转型视角[J]. 财经问题研究,2024(9):90-102.
[15] 靳卫东,房芳,陈佩奇. 土地流转有助于提升粮食安全吗:基于土地经营方式转变的分析[J]. 中国地质大学学报(社会科学版),2023,23(4):105-121.
[16] 周文凤,徐定德. 农户分化对耕地非粮化的影响[J]. 资源科学,2024(11):2278-2288.
[17] 赵和楠,刘雨诗,李智慧. 产粮大县奖励政策对县域粮食生产的影响:有效激励抑或有限福利[J]. 改革,2024(6):93-107.
[18] 周涛 .电子商务对经济发展有何影响[J]. 人民论坛,2017(14):90-91.
[19] 董志勇,李大铭,李成明. 数字乡村建设赋能乡村振兴:关键问题与优化路径[J]. 行政管理改革,2022(6):39-46.
[20] 高鸣,杨新宇. 农业增效益:数字技术赋能粮食产业高质量发展的实践进路[J]. 学习与探索,2025(2):23-32.
[21] 张琦,张艳荣. 以农业社会化服务破解土地撂荒难题[J]. 人民论坛,2023(5):87-92.
[22] 刘生龙,张晓明. 数字基础设施与粮食生产:基于深度学习的实证证据[J]. 数量经济技术经济研究,2024,41(7):155-176.
[23] 刘翠花,戚聿东,丁述磊. 数字乡村与代际收入流动性:基于淘宝村的证据[J]. 世界经济,2025(2):230-256.
[24] 张军 .劳动力老龄化对粮食生产效率的影响及其缓解路径[J]. 华南农业大学学报(社会科学版),2024(6):36-49.
[25] 黄季焜,靳少泽. 未来谁来种地:基于我国农户劳动力就业代际差异视角[J]. 农业技术经济,2015(1):4-10.
[26] 周琦宇,龙开胜. 农村电商加剧耕地“非粮化”了吗:基于电子商务进农村综合示范政策的考察[J]. 农业技术经济,2025(2):20-42.
[27] 封立涛,邹文锦. 产出缺口还是规模效应:数字经济对粮食安全的影响及其机制分析[J]. 经济评论,2024(6):134-150.
[28] 肖国安,陈谦,王文涛. 乡村振兴战略背景下我国农村电商发展路径研究[J]. 贵州社会科学,2022(10):161-168.
[29] 陈华帅,谢可琴. 农村电商与农村家庭收入包容性增长[J]. 经济评论,2024(5):92-107.
[30] 朱杰,彭浩瀚,张志,等. 数字乡村建设对粮食安全的影响研究: 基于县域层面的实证分析[J]. 中国软科学,2025(5):79-91.
[31] 胡向东,石自忠,袁龙江. 加快建设农业强国的内涵与路径分析[J]. 农业经济问题,2023(6):4-17.
[32] 石婕妤,吴秀芹,董贵华. 三江流域(云南区段)耕地非粮化空间格局及驱动因素[J]. 北京大学学报(自然科学版),2024(5):893-904.
[33] 尹志超,吴子硕,王瑞,等. 数字乡村建设促进非农就业了吗: 基于全国农村固定观察点追踪数据的实证分析[J]. 经济学家, 2024(6):25-34.
[34] 吴一平,杨芳,周彩. 电子商务与财政能力:来自中国淘宝村的证据[J]. 世界经济,2022,45(3):82-105.
[35] 张红宇 .中国农业运行的底层逻辑:准确把握农业新质生产力的深刻内涵[J]. 农业经济问题,2024(12):24-32.
[36] 孙妍,陈立东,邢春冰. 农村电子商务发展与劳动力就业选择: 基于性别差异视角[J]. 劳动经济研究,2024,12(6):47-69.
[37] 郭磊磊,郭剑雄. 基于农业要素收益率视角的“刘易斯拐点”判断[J]. 经济经纬,2018,35(3):44-49.
[38] 张雪,周密. 农户种植结构调整中的羊群效应:以辽宁省玉米种植户为例[J]. 华中农业大学学报(社会科学版),2019(4):54-62.
[39] DEICHMANN U,GOYAL A,MISHRA D.Will digital technolo-gies transform agriculture in developing countries[J]. Agricultural economics,2016,47(S1):21-33.
[40] 李宁,周琦宇,邹丽琼. 农产品网络销售会影响新型农业经营主体的农地经营规模吗[J]. 农业技术经济,2022(2):94-109.
[41] 李宏兵,王爽,赵春明. 农村电子商务发展的收入分配效应研究:来自“淘宝村”的经验证据[J]. 经济经纬,2021(1):37-47.
[42] 展进涛,周静鑫,俞建飞. 汇聚涓涓细流:农村电商的收入效应与溢出效应研究[J]. 南京农业大学学报(社会科学版),2024(2):136-147.
[43] 张琛,孔祥智. 行政区划调整与粮食生产:来自合成控制法的证据[J]. 南京农业大学学报(社会科学版),2017(3):121-133.
[44] CARTER C A,FERGUSON S M.State trading deregulation and prairie durum wheat production[J]. Canadian journal of agricul-tural economics,2020,68(1):107-116.
[45] 罗必良 .农地撂荒及其治理:已有研究与进一步拓展[J]. 华中农业大学学报(社会科学版),2025(1):1-7.
[46] 许恒周,曹旭欣. 土地经营权抵押贷款试点政策对农业机械化的影响研究:来自中国试点县准自然实验的证据[J]. 中国土地科学,2023(5):57-66.
[47] 王妍霏,叶举,曹杰. 农村流通数字化影响粮食体系韧性的机理及效应研究[J]. 长江流域资源与环境,2025,34(2):423-436.
[48] 江艇 .因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济,2022(5):100-120.
[49] 罗明忠,魏滨辉. 农村集体产权制度改革与县域城乡收入差距[J]. 华南农业大学学报(社会科学版),2022,21(6):78-90.
[50] 杜鑫. 劳动力转移对中国粮食生产的影响:基于2020 年全国 10 省份农户调查数据的经验研究[J]. 经济问题,2022(3):104-115.
[51] 邓金钱,刘明霞. 财政依赖与乡村振兴:来自中国县域面板数据的经验证据[J]. 当代经济研究,2025(5):116-128.
Outlines

/