大湖地区种稻户专业化统防统治采纳意愿研究
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摘要
病虫害防治是水稻种植过程中的关键环节,加强水稻病虫害防治对保障粮食安全具有十分重要的意义。文章以鄱阳湖地区为例,探究大湖地区种稻户专业化统防统治采纳意愿。利用692份调查问卷数据,运用Logistic模型分析种稻户专业化统防统治采纳意愿的影响因素,并进一步运用ISM模型分析各影响因素间的关联关系和层次结构。研究结果显示:性别、年龄、文化程度、水稻种植面积、对专业化统防统治了解程度、农药对身体健康影响的认知、农药对环境影响的认知等7个因素对种稻户专业化统防统治采纳意愿有显著影响。进一步分析发现,对专业化统防统治的了解程度是表层直接因素,户主性别、户主年龄、水稻种植面积、农药对身体健康影响的认知、农药对环境影响的认知是中层间接因素,户主文化程度是深层根源因素。在此基础上,提出了相关政策建议。
Pest control is the key link in the rice planting process, it is of great significance to strengthen the control of rice pests and diseases in ensuring food security. Taking the Poyang Lake area as a research area, this paper explores the willingness of rice farmers in adopting specialized and unified prevention in the Great Lake area. Using the data of 692 questionnaires and logistic model, this paper analyzed the influencing factors of rice farmers' willingness on the adoption of specialized and unified prevention. Furthermore, ISM model is used to analyze the relationship and hierarchy among the influencing factors. The results showed that seven factors, such as gender, age, education degree, the area of rice planting, understanding of specialized and unified prevention, knowledge of the of pesticide impact on health and environment had significant effects on the willingness of rice farmers in adopting the specialized and unified prevention.Further analysis found that understanding of the specialized and unified prevention was the direct factor. The gender and age of householder, the area of rice planting, the knowledge of the pesticide impact on health and environment were the indirect factors. The education degree of householder was the deep root factor. On this basis, the relevant policy recommendations are put forward.
Pest control is the key link in the rice planting process, it is of great significance to strengthen the control of rice pests and diseases in ensuring food security. Taking the Poyang Lake area as a research area, this paper explores the willingness of rice farmers in adopting specialized and unified prevention in the Great Lake area. Using the data of 692 questionnaires and logistic model, this paper analyzed the influencing factors of rice farmers' willingness on the adoption of specialized and unified prevention. Furthermore, ISM model is used to analyze the relationship and hierarchy among the influencing factors. The results showed that seven factors, such as gender, age, education degree, the area of rice planting, understanding of specialized and unified prevention, knowledge of the of pesticide impact on health and environment had significant effects on the willingness of rice farmers in adopting the specialized and unified prevention.Further analysis found that understanding of the specialized and unified prevention was the direct factor. The gender and age of householder, the area of rice planting, the knowledge of the pesticide impact on health and environment were the indirect factors. The education degree of householder was the deep root factor. On this basis, the relevant policy recommendations are put forward.
引文
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[13] Grossman L S. Pesticides,caution and experimentation in St.Vincent[J]. Eastern Caribbean. Human Ecology,1992,20(3):315-326.
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[15] Jeger J M. Bottlenecks in IPM[J]. Crop Protection,2000,19(8-10):787-792.
[16]刘忠艳. ISM框架下女性创业绩效影响因素分析——一个创业失败的案例研究[J].科学学研究,2017(2):272-281.
[17]夏晶,夏季,张旺.基于ISM模型的新生代农民工工作幸福感的影响因素分析[J].中南民族大学学报:人文社会科学版,2016(1):170-174.
[18]周利平,邓群钊,翁贞林.农户参与用水协会行为影响因素的实证分析——基于Logistic-ISM模型[J].华中科技大学学报:社会科学版,2013,27(5):107-115.
[19]刘长进,腾玉华,张轶之.农村居民清洁能源应用意愿与行为一致性分析[J].湖南农业大学学报:社会科学版,2017,18(6):13-19.
[20]付莲莲.国内农产品价格波动影响因素的结构及动态演变机制[D].南昌:南昌大学,2014.
[21]赵丹丹,刘春明,鲍丙飞,等.农业可持续发展能力评价与子系统协调度分析——以我国粮食主产区为例[J].经济地理,2018(4):157-163.
[2]徐斌.农户植保专业化服务采纳行为及其效果研究[D].南京:南京农业大学,2013.
[3]王一杰,邸菲,辛岭.我国粮食主产区粮食生产现状、存在问题及政策建议[J].农业现代化研究,2018(1):37-47.
[4]张利国,鲍丙飞,董亮.鄱阳湖生态经济区粮食单产时空格局演变及驱动因素探究[J].经济地理,2018,38(2):154-161.
[5] Feder G,Slade R. The acquisition of information and the adoption of new technology[J]. American Journal of Agricultural Economics,1984,66(3):312-320.
[6] Gershon F,Just R E,Ziberman D. Adoption of agricultural innovations in developing countries:A survey[J]. Economic Development an Cultural Change,1985,33(2):255-298.
[7]蔡书凯.农户IPM技术采纳行为及其效果分析[D].杭州:浙江大学,2012.
[8]赵连阁,蔡书凯.农户IPM技术采纳行为影响因素分析——基于安徽省芜湖市的实证[J].农业经济问题,2012(3):50-57.
[9]喻永红,张巨勇.农户采用水稻IPM技术的意愿及其影响因素——基于湖北省的调查数据[J].中国农村经济,2009(11):77-86.
[10]储成兵.农户IPM技术采用行为及其激励机制研究[D].北京:中国农业大学,2015.
[11]龚继红,钟淑宝,孙剑.以龙头企业创新服务为中心的农村科技服务体系建设[J].科技进步与对策,2005(3):98-100.
[12]彭魏倬加,刘卫柏.种养专业大户的农村土地经营权抵押融资需求意愿及影响因素——基于湖南4个试点县调查的实证研究简[J].经济地理,2018,38(12):176-182.
[13] Grossman L S. Pesticides,caution and experimentation in St.Vincent[J]. Eastern Caribbean. Human Ecology,1992,20(3):315-326.
[14] Hashemi S M,Damalas C A. Famers perceptions of Pesticide efficacy:Reflectiongs on the importance of pest management practices adoption[J]. Journal of Sustainable Agriculture,2010,35(1):69-85.
[15] Jeger J M. Bottlenecks in IPM[J]. Crop Protection,2000,19(8-10):787-792.
[16]刘忠艳. ISM框架下女性创业绩效影响因素分析——一个创业失败的案例研究[J].科学学研究,2017(2):272-281.
[17]夏晶,夏季,张旺.基于ISM模型的新生代农民工工作幸福感的影响因素分析[J].中南民族大学学报:人文社会科学版,2016(1):170-174.
[18]周利平,邓群钊,翁贞林.农户参与用水协会行为影响因素的实证分析——基于Logistic-ISM模型[J].华中科技大学学报:社会科学版,2013,27(5):107-115.
[19]刘长进,腾玉华,张轶之.农村居民清洁能源应用意愿与行为一致性分析[J].湖南农业大学学报:社会科学版,2017,18(6):13-19.
[20]付莲莲.国内农产品价格波动影响因素的结构及动态演变机制[D].南昌:南昌大学,2014.
[21]赵丹丹,刘春明,鲍丙飞,等.农业可持续发展能力评价与子系统协调度分析——以我国粮食主产区为例[J].经济地理,2018(4):157-163.