跨界企业大数据平台对农业产业链的整合与重塑——以“FNB”农业大数据平台为例
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摘要
大数据的兴起,为整合重塑传统农业产业链提供了创造性的发展空间和动力机制。本文通过"FNB"农业大数据平台的典型案例研究发现:通过大数据平台建立创新销售和服务模式,可以解决以往农业服务、农村金融服务难以渗透到田间地头的难题;大数据平台在推进农业产业链整合与重塑过程并非两者简单拼凑,而是信息技术与农业产业深度融合形成的有效机制;互联网、大数据等新兴技术对优化农业产业链的引擎作用尚未充分发挥作用。因此加快推进农村信息化基础设施建设、发挥政府引导职能,完善法律法规体系、联通各环节主体并整合多方资源、健全人才引进和培养机制是整合重塑农业产业链的关键所在。
The traditional agricultural industry chain has long distribution channels of agricultural materials,great credit pressure on various layers of agricultural finance,single agricultural service form,and so on,which seriously hinders the development of agricultural modernization. With the rise of big data,it provides the development space and dynamic mechanism for the integration and remodeling of the agricultural industrial chain innovation. Based on the typical case study of "FNB" agricultural big data platform,the paper finds that: 1) establishing innovative sales and service model through big data platform can solve the problems of agricultural service and rural financial service which are difficult to penetrate into the field; 2) big data platform is not a simple patchwork but information in the process of promoting the integration and remolding of agricultural industrial chain; 3) Internet,big data and other emerging technologies have not played a full role in optimizing the engine of agricultural industrial chain. So popularizing the construction of rural information infrastructure,giving play to the government's guiding function,perfecting the legal system,connecting the main parts of each link and integrating various resources,and perfecting the talent introduction and training mechanism are the keys to integrate and reshape the agricultural industrial chain.
The traditional agricultural industry chain has long distribution channels of agricultural materials,great credit pressure on various layers of agricultural finance,single agricultural service form,and so on,which seriously hinders the development of agricultural modernization. With the rise of big data,it provides the development space and dynamic mechanism for the integration and remodeling of the agricultural industrial chain innovation. Based on the typical case study of "FNB" agricultural big data platform,the paper finds that: 1) establishing innovative sales and service model through big data platform can solve the problems of agricultural service and rural financial service which are difficult to penetrate into the field; 2) big data platform is not a simple patchwork but information in the process of promoting the integration and remolding of agricultural industrial chain; 3) Internet,big data and other emerging technologies have not played a full role in optimizing the engine of agricultural industrial chain. So popularizing the construction of rural information infrastructure,giving play to the government's guiding function,perfecting the legal system,connecting the main parts of each link and integrating various resources,and perfecting the talent introduction and training mechanism are the keys to integrate and reshape the agricultural industrial chain.
引文
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[10]李仪.“互联网+”背景下的农业商业模式创新:基于农业全产业链闭合平台的视角[J].学习与探索,2016(9):101-106.
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[14]成德宁,汪浩,黄杨.“互联网+农业”背景下我国农业产业链的改造与升级[J].农村经济,2017(5):52-57.
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[19]鞠晓晖,朱玉东,陈雨生.美国农业物联网生产服务体系建设及对中国的启示[J].世界农业,2016(7):39-43.
[20]许彩侠.区域协同创新机制研究——基于创新驿站的再思考[J].科研管理,2012,33(5):19-25+55.
[21]钱国英.“互联网+”下的农业培训多元协同模式创新探索[J].南方农业,2018,12(14):165-166.
[22]周虹.农业科技协同创新公共信息服务平台建设研究——以梅州市石扇镇为例[J].乡村科技,2018(2):127-128.
[23]刘志迎,付丽华,马朝良,等.基于Meta分析的创新二元性与企业绩效关系研究[J].科学学与科学技术管理,2017,38(6):171-180.
[24]罗珊.基于创新视角的中国制造业投入与产出研究[J].科技与经济,2010,23(4):77-81.
[25]李秀峰,陈守合,郭雷风.大数据时代农业信息服务的技术创新[J].中国农业科技导报,2014,16(4):10-15.
[26]张少凤,马健,高凌洁,陈珠社,陈晨.物联网和云计算环境下关天经济区农业信息服务系统设计[J].电子设计工程,2018,26(11):33-36+41.
[27]Eisenhardt K M. Building Theories from Case Study Research[J]. Academy of Management Journal,1989,(14).
[28]Nicolaj Siggelkow,张丽华,姜惠.案例研究的说服力[J].管理世界,2008(6):156-160.
(1)联合国粮农组织:《粮食和农业的未来:趋势与挑战》
(2)中国社会科学院:《中国农村经济形势分析与预测(2017-2018)》,简称农村绿皮书。
[2]许世卫,王东杰,李哲敏.大数据推动农业现代化应用研究[J].中国农业科学,2015,48(17):3429-3438.
[3]孙忠富,杜克明,郑飞翔,等.大数据在智慧农业中研究与应用展望[J].中国农业科技导报,2013,15(6):63-71.
[4]戴小文,漆雁斌,陈文宽.农业现代化背景下大数据分析在农业经济中的应用研究[J].四川师范大学学报(社会科学版),2015,42(2):70-77.
[5]光峰,姚程宽,王维进.农业领域大数据的应用研究[J].洛阳师范学院学报,2015,34(8):75-77.
[6]LEAO RRCC,HAMACHER S,OLIVEIRA F. Optimization of Biodiesel Supply Chains Based on Small Farmers:A Case Study in Brazil[J]. Bioresource Technology,2011,(102).
[7]GE H,GRAY R,NOLAN J. Agricultural Supply Chain Optimization and Complexity:A Comparison of Analytic vs Simulated Solutions and Policies[J]. Production Economics,2015(159):208-209.
[8]刘丽伟,高中理.“互联网+”促进农业经济发展方式转变的路径研究——基于农业产业链视角[J].世农业,2015(12):18-23.
[9]王山,奉公.农业虚拟产业集群:“互联网+”创新驱动农业产业链融合的新模式[J].上海经济研究,2016(6):86-92.
[10]李仪.“互联网+”背景下的农业商业模式创新:基于农业全产业链闭合平台的视角[J].学习与探索,2016(9):101-106.
[11]施威,曹成铭.“互联网+农业产业链”创新机制与路径研究[J].理论探讨,2017(6):110-114.
[12]李国英.“互联网+”背景下我国现代农业产业链及商业模式解构[J].农村经济,2015(9):29-33.
[13]寇光涛,卢凤君.“互联网+农业产业链”的实践总结与创新路径[J].农村经济,2016(8):30-34.
[14]成德宁,汪浩,黄杨.“互联网+农业”背景下我国农业产业链的改造与升级[J].农村经济,2017(5):52-57.
[15]姜长云.关于构建新型农业经营体系的思考——如何实现中国农业产业链、价值链的转型升级[J].人民论坛·学术前沿,2014(1):70-78.
[16]刘长江,李红联,李少斌.经济新常态视角下“互联网+农业”发展的困境与破解[J].青海社会科学,2017(1):93-97.
[17]陈劲,阳银娟.协同创新的驱动机理[J].技术经济,2012,31(8):6-11+25.
[18]解学梅,左蕾蕾.企业协同创新网络特征与创新绩效:基于知识吸收能力的中介效应研究[J].南开管理评论,2013,16(3):47-56.
[19]鞠晓晖,朱玉东,陈雨生.美国农业物联网生产服务体系建设及对中国的启示[J].世界农业,2016(7):39-43.
[20]许彩侠.区域协同创新机制研究——基于创新驿站的再思考[J].科研管理,2012,33(5):19-25+55.
[21]钱国英.“互联网+”下的农业培训多元协同模式创新探索[J].南方农业,2018,12(14):165-166.
[22]周虹.农业科技协同创新公共信息服务平台建设研究——以梅州市石扇镇为例[J].乡村科技,2018(2):127-128.
[23]刘志迎,付丽华,马朝良,等.基于Meta分析的创新二元性与企业绩效关系研究[J].科学学与科学技术管理,2017,38(6):171-180.
[24]罗珊.基于创新视角的中国制造业投入与产出研究[J].科技与经济,2010,23(4):77-81.
[25]李秀峰,陈守合,郭雷风.大数据时代农业信息服务的技术创新[J].中国农业科技导报,2014,16(4):10-15.
[26]张少凤,马健,高凌洁,陈珠社,陈晨.物联网和云计算环境下关天经济区农业信息服务系统设计[J].电子设计工程,2018,26(11):33-36+41.
[27]Eisenhardt K M. Building Theories from Case Study Research[J]. Academy of Management Journal,1989,(14).
[28]Nicolaj Siggelkow,张丽华,姜惠.案例研究的说服力[J].管理世界,2008(6):156-160.
(1)联合国粮农组织:《粮食和农业的未来:趋势与挑战》
(2)中国社会科学院:《中国农村经济形势分析与预测(2017-2018)》,简称农村绿皮书。