Page 155 - 《华中农业大学学报(社会科学版)》2025年第3期
P. 155
150 华中农业大学学报(社会科学版) (总177 期)
[31] 韩雨彤,周季蕾,任菲.动态视角下实时评论内容对直播电商商品销量的影响[J].管理科学,2022,35(1):17-28.
[32] 陈义涛,赵军伟,刘茜 . 乡村振兴战略下助农直播价值共创机制研究——基于消费者视角的实证分析[J]. 价格理论与实践,
2024(1):80-84.
[33] 耿树海,赵青霞.直播带货低客单价背景下的农产品流通体系创新[J].商业经济研究,2022(9):133-135.
[34] 谢新洲,林彦君.从工具理性到汇合营销:基于直播带货的品牌传播优化路径[J].新闻爱好者,2021(9):42-46.
[35] 高锡荣.企业技术创新意识的结构效应分析[J].科技进步与对策,2010,27(15):99-105.
[36] 朱建民,朱静娇 . 制造业技术转型视角下企业创新意识与创新绩效实证研究——基于技术战略的调节作用[J]. 预测,2018,37
(3):29-34.
[37] 陈富桥,凌晨.茶叶全产业链大数据中心功能设计与开发进展[J].农业大数据学报,2021,3(2):54-66.
[38] 林梦星,陈富桥,杜佩,等.茶叶企业电子商务经营效率及其影响因素分析[J].茶叶科学,2018,38(5):461-468.
[39] 李松,赵冬梅 . 农业企业线上市场进入时机的决策机制——来自中小型茶叶企业的经验证据[J]. 中国农业大学学报,2022,27
(2):278-293.
[40] 金灿阳,徐蔼婷,邱可阳.中国省域数字经济发展水平测度及其空间关联研究[J].统计与信息论坛,2022,37(6):11-21.
[41] 杨旭林,潘昌健,姜仁华 . 有机认证对茶企经营效益的影响研究——基于倾向得分匹配的反事实估计[J]. 茶叶科学,2023,43
(6):881-890.
[42] 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.
[43] 郭嘉鸿,谢祯,林春桃.茶叶消费者品牌忠诚度形成机理研究[J/OL].茶叶通讯,1-10[2024-06-25].http://kns.cnki.net/kcms/de‐
tail/43.1106.S.20240517.1505.027.html.
[44] 王辰宇,孙静春,史思雨.电商平台中销售模式选择与直播营销策略研究[J].管理工程学报,2023,37(5):190-199.
[45] 马千惠,郑少锋 . 信息获取渠道对农户绿色防控技术采纳行为的影响[J]. 西北农林科技大学学报(社会科学版),2023,23(3):
109-119.
Live⁃Streaming Sales and Operating Revenue
of Agricultural Enterprise
——Evidence from Tea Enterprises
CHEN Fuqiao,LI Dongxu,JIANG Renhua
Abstract Innovation in retail channels based on digital technology is exerting a significant impact
on the business models of agricultural enterprises,with live-streaming sales increasingly being adopted.
The impact of live-streaming sales on the operating revenue of agricultural enterprises is a topic worthy
of study.Using survey data from 258 tea enterprises collected via the National Tea Industry Full-Industry
Chain Big Data Center platform,this paper empirically analyzes the effects,heterogeneity,and mecha‐
nisms of live-streaming sales on the operating revenue of tea enterprises.The study finds that engaging in
live-streaming sales promotes the growth of tea enterprises’ operating revenue.Moreover,the impact of
live-streaming sales on revenue varies across different business models,operation scales,stages of live-
streaming investment,live-streaming operation modes,marketing strategies,and regions. In addition,
live-streaming sales can improve operating revenue by raising product prices,with brand promotion and
brand innovation playing positive moderating roles in this process.Based on these findings,targeted rec‐
ommendations are proposed,including strengthening policy support for the tea industry,enhancing new
infrastructure for tea business entities,increasing efforts in talent cultivation,and reinforcing the integra‐
tion of online and offline channels.
Key words live commerce; tea enterprises; operational revenue; business models
(责任编辑:陈万红)

