新型城镇化背景下农户信息服务支付意愿及影响因素分析—

摘要基于北京信息进村入户行政村农户信息情况调查数据,立足信息生态视角,运用Oprobit模型、Interval-censored模型分别分析了农户信息服务支付意愿与支付金额意愿的影响因素,并测算了农户信息服务的具体意愿支付金额。结果表明:少数农户有信息服务支付意愿,绝大多数农户信息服务意愿支付金额为10元/月以下,且付费信息服务形式主要为短信包月与收费电视;信息户特征、信息资源与信息技术对农户信息服务支付意愿有显著影响;信息户特征与信息环境对农户信息服务支付金额意愿有显著影响;经两种方法计算,农户全年信息服务意愿支付金额分别为144.24元与201.60元,分别占农户全年总纯收入的0.22%与0.31%。

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	曹冰雪
	李瑾
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关键词：信息服务支付意愿信息生态新型城镇化

Abstract： This paper uses Oprobit model and Interval-censored model to analyze the influencing factors of farmers' WTP and amount of WTP for information service and calculate the farmers' specific amount of WTP for information service from the perspective of information ecology based on the survey data of farmers in Beijing. The results show that a small number of farmers have WTP for information services, the vast majority of farmers' amount of WTP for information services is ‘less than 10 yuan per month', and the main forms of paid information services are ‘short message monthly package' and ‘pay-TV'; the variables of information person, resource and technology affect the farmers' WTP for information services mainly; while, the variables of information person and environment affect the farmers' amount of WTP for information services entirely; through two methods, the annual farmers' amount of WTP for information services are 144.24 yuan and 201.6 yuan, accounting for 0.22% and 0.31% of the total net income of farmers.

Keywords： Information Service Willingness to Pay Information Ecology New Urbanization

收稿日期 2019-03-04; 接受日期 ;

基金资助:中国工程院咨询研究重大项目(2019-ZD-002);北京市社会科学基金重点项目(17XCA002);中国博士后科学基金项目(2019M660544);北京市农林科学院博士后科研基金项目(2018-ZZ-016)

通讯作者 李瑾(1978— ),女,湖北襄阳人,博士,研究员,主要从事农业信息理论与政策研究。

作者简介: 曹冰雪(1990— ),女,陕西榆林人,博士,助理研究员,主要从事信息经济学研究;冯献(1986— ),女,广西桂平人,博士,助理研究员,主要从事农业信息化战略研究。

引用本文:

曹冰雪, 李瑾, 冯献.新型城镇化背景下农户信息服务支付意愿及影响因素分析——基于北京市652家农户的调查数据[J]. 经济经纬, 2020,4: 28-37

CAO Bingxue, LI Jin, FENG Xian.The Willingness to Pay for Information Services of Farmers and Its Determinants in the Process of New Urbanization——An Analysis Based on Data from 652 Farmers in Beijing[J] Economic Survey, 2020,V37(4): 28-37

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2020/V37/I4/28

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