基于Logistic-ISM模型的茶农采纳病虫生态调控技术的影响因素及层次结构分析

doi:10.13305/j.cnki.jts.2020.05.015

茶叶科学 ›› 2020, Vol. 40 ›› Issue (5): 696-706.doi: 10.13305/j.cnki.jts.2020.05.015

• 研究报告 • 上一篇

基于Logistic-ISM模型的茶农采纳病虫生态调控技术的影响因素及层次结构分析

郑蓉蓉^1,2, 刘路星², 马妍丽¹, 王自帅¹, 陈少游¹, 何敦春^1,3,*, 谢联辉^1,*

1.福建农林大学植物病毒研究所,福建福州 350002;
2.福建农林大学安溪茶学院,福建泉州 362406;
3.福建江夏学院经济贸易学院,福建福州 350108

收稿日期:2019-09-18 修回日期:2019-12-12 出版日期:2020-10-15 发布日期:2020-10-10
通讯作者: * hedc@fafu.eu.cn;xielh@fafu.edu.cn
作者简介:郑蓉蓉,女,讲师,博士研究生,主要从事植保经济学方面的研究。
基金资助:
福建省社科研究基地生态文明研究中心项目（KXJD1807A）、福建省自然科学基金（2018J01707）、福建农林大学安溪茶学院骨干青年基金（ACKY2016001）、福建省安溪县现代农业产业园协同创新中心（KMd18003A）

Analysis on the Impact Factors and Hierarchical Structure of the Farmers’ Adoption of Tea Ecological Pest Management by Logistic-ISM Model

ZHENG Rongrong^1,2, LIU Luxing², MA Yanli¹, WANG Zishuai¹, CHEN Shaoyou¹, HE Dunchun^1,3,*, XIE Lianhui^1,*

1. Institute of Plant Virology, Fujian Agriculture and Forestry University, Fuzhou 350002, China;
2. Anxi college of Tea Science, Fujian Agriculture and Forestry University, Quanzhou 362406, China;
3. School of Economics and Trade, Fujian Jiangxia University, Fuzhou 350108, China

Received:2019-09-18 Revised:2019-12-12 Online:2020-10-15 Published:2020-10-10

摘要/Abstract

摘要： 茶叶是中国重要的经济作物,品质安全附加值大,病虫防控是保障茶叶品质安全的关键环节。传统病虫防控的负外部性明显,生态调控是未来发展的方向,弄清茶农采纳生态调控技术的影响因素及其内在关系是重要的科学命题。为此,随机选取福建省五大茶区的517位茶农进行调查,对获取的数据采用Logistic回归模型分析茶农采纳生态调控技术的显著性影响因素,进而运用解释结构模型（Interpretative structural modeling,ISM）分析这些显著性因素间的层次结构,从茶农特征、技术认知和环境特征3个方面探讨因素间的内在逻辑。结果表明,在茶农采纳生态调控技术的显著性影响因素层次结构中,表层直接因素有茶叶年收益、销售模式、培训次数、政府抽检频率、往年病虫情况,中间因素有新技术成本和收益变化的认知、是否合作社成员、茶园面积,根源因素有文化教育程度、年龄,各层次因素沿根源层、中间层、表层、目标层逐级向上影响。据此,本文从合作、培训、监管、示范等方面提出了对茶树病虫生态调控技术推广进行宏观管理的建议。

关键词: 病虫生态调控, Logistic-ISM模型, 影响因素, 层次结构

Abstract: Tea is one of important economic crops in China. Tea pest management is the key to ensure the quantity and its added value. The conventional pest management mode had contributed to saving the amounts of tea but resulted in the pollution dilemma of tea and ecology simultaneously. In contrast, the ecological management mode can alleviate the pollution and increase the safety of tea and farmers’ revenue. However, promotion of the mode was limited in practice. Hence, it is an urgent scientific topic to ascertain the factors and its interaction mechanism of tea farmers’ adoption of the ecological pest management. In this study, the 517 tea farmers were selected randomly in five counties of Fujian province according to the designed questionnaire and some available data were collected to analyze the significant factors affecting tea farmers’ adoption of ecological pest management technology by the Logistic Regression Model. The hierarchy and inner logic relations of these significant factors were then discovered by the Interpretative Structural Modeling (ISM). The results show that tea farmers’ adoption was significantly influenced by three hierarchy factors. The direct factors included annual tea revenue, sales model, frequency of technical training, frequency of government casual inspection and degree of pest occurrence of previous years. The intermediate factors included cognition of cost and benefit change of applying new technology, cooperative member or not and size of tea garden. The basic factors included education level and age. Finally, some suggestions for the promotion of tea ecological pest management were proposed according to these impact factors and their relationships.

Key words: tea ecological pest management, Logistic-ISM model, impact factors, hierarchy

中图分类号:

郑蓉蓉, 刘路星, 马妍丽, 王自帅, 陈少游, 何敦春, 谢联辉. 基于Logistic-ISM模型的茶农采纳病虫生态调控技术的影响因素及层次结构分析[J]. 茶叶科学, 2020, 40(5): 696-706. doi: 10.13305/j.cnki.jts.2020.05.015.

ZHENG Rongrong, LIU Luxing, MA Yanli, WANG Zishuai, CHEN Shaoyou, HE Dunchun, XIE Lianhui. Analysis on the Impact Factors and Hierarchical Structure of the Farmers’ Adoption of Tea Ecological Pest Management by Logistic-ISM Model[J]. Journal of Tea Science, 2020, 40(5): 696-706. doi: 10.13305/j.cnki.jts.2020.05.015.

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基于Logistic-ISM模型的茶农采纳病虫生态调控技术的影响因素及层次结构分析

Analysis on the Impact Factors and Hierarchical Structure of the Farmers’ Adoption of Tea Ecological Pest Management by Logistic-ISM Model

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