文章摘要
农业信息资源配置对农产品电商绩效影响机制研究——以东部地区为例
The influencing mechanism of agricultural information resource allocation on agricultural e-commerce performance in eastern China
投稿时间:2020-05-24  修订日期:2020-08-19
DOI:10.13872/j.1000-0275.2020.0077
中文关键词: 农业信息资源  配置水平  农产品电商  电商绩效  面板门槛模型  东部地区
英文关键词: agricultural information resource  allocation level  agricultural product e-commerce  e-commerce performance  panel threshold model  Eastern area of China
基金项目:国家社会科学基金项目(17BJY136);中央高校基本科研业务费专项资金资助项目(2662019FW018);中国人民大学中国扶贫研究院“扶贫研究博士论文奖学金”
作者单位E-mail
贾铖 华中农业大学经管学院/华中农业大学电子商务研究所 1791143392@qq.com 
夏春萍 华中农业大学经管学院/华中农业大学电子商务研究所 xcp@mail.hzau.edu.cn 
陈鹏宇 华中农业大学经管学院 2317584074@qq.com 
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中文摘要:
      在数字农业背景下,探究农业信息资源配置对农产品电商发展的影响关系对提高农业信息资源利用水平、拓展农产品电商经营规模具有重要的现实意义。基于全信息转换理论,利用东部10省市的面板数据,构建以农业信息资源配置水平为门槛变量的面板门槛模型,从农户信息转化能力与农村产业结构两条逻辑主线进一步剖析农业信息资源配置对农产品电商绩效的影响关系。结果表明,2011—2018年东部地区农业信息资源平均配置水平介于0.4~0.5之间。其中,长三角地区>珠三角地区>环渤海地区,多省市均呈现“W(M)型”变化特征。农业信息资源配置水平对农产品电商绩效存在单一门槛的影响效应,且始终正向促进农产品电商发展;然而跨过“门槛界限”后,促进作用减弱49.7%。研究表明,信息技术生产率悖论也存在于农产品电商的发展过程中。因此,为推进农业信息资源配置水平对农产品电商绩效的持续发展,农业信息资源低配置地区应该继续采取信息要素驱动发展模式;而高配置地区应向农产品电商全产业链技术综合集成方向转变。同时结合电商物流、电能供应等基建配备,从而全面提升东部地区乃至全国各地农产品电商发展的绩效水平。
英文摘要:
      Understanding the impacts of agricultural information resources on agricultural products’ e-commerce performance under the background of digital agriculture has a practical significance to expand agricultural product e-commerce business scale. Based on the principles of information conversions and panel data of 10 eastern areas from 2011 to 2018, this paper constructed a panel threshold model with the level of agricultural information resource allocation as the threshold variable and explored the non-linear relationship of agricultural information resource allocation level on agricultural products’ e-commerce performance by two logical main lines of farmers’ information transformation ability and rural industrial structure. Results show that during the study period, the average allocation level of agricultural information resources in the eastern region is between 0.4 and 0.5. Among them, the Yangtze River Delta region was greater than the Pearl River Delta region, followed by the Bohai Rim region, and many provinces’ variation characteristics were showing an “W-shape (or M-shape)”. In addition, the impact had a single threshold and positive effect. However, when crossing the “threshold level”, the promotion effect weakened by 49.7%. It confirms that information technology productivity paradox also existed in the development process of agricultural e-commerce. Therefore, to promote the sustainable development of the level of agricultural information resource allocation to the performance of agricultural e-commerce, regions with low levels of agricultural information resources should continue to adopt the information element-driven development model. And then areas with a high level of allocation should shift to the direction of the integration of agricultural product e-commerce whole industry chain technology. In the future, the local government needs to improve e-commerce logistics, electrical energy supply, and other infrastructures to improve the performance level of agricultural product e-commerce development in the eastern region and even across China.
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