海洋经济

2018, v.8;No.47(05) 11-21

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基于Logistic二元离散选择模型的养殖智能投饵装备产业化问题实证研究——以智能投饵船为例
An Empirical Study on the Industrialization of Aquaculture Intelligent Feeding Equipment Based on Logistic Two Element Discrete Selection Model:Taking the Intelligent Feeding Boat for Example

张效莉;胡忠;纠手才;
ZHANG Xiaoli;HU Zhong;JIU Shoucai;Center for Studies of Marine Economy, Shanghai Ocean University;Yiju Enterprise (China) Group Co., Ltd.;

摘要(Abstract):

智慧养殖是未来养殖行业发展趋势,为了判断养殖用户对智能养殖装备的需求情况,以便基于用户需求推进此类智能养殖装备实现产业化,进一步促进对虾养殖的智慧化和现代化,依据长三角两省一市246位对虾养殖户的调查数据,运用Logistic二元离散选择模型,对养殖户购买智能投饵船的意愿及其影响因素进行了调查和实证分析。研究结果表明,养殖户购买智能投饵船的整体意愿较为强烈,市场需求空间较大,其中单口池塘的面积、投饵成本、养殖户受教育水平、家庭收入水平、周围人的示范作用、亲戚朋友的建议、公司提供免费用的服务、政府补贴等因素是影响养殖户购买智能投饵船的主要因素。
Intelligent breeding is the development trend of the future breeding industry,and in order to judge the demand of the farm users on the product so as to promote the industrialization of this kind of intelligent breeding equipment based on the user's demand,and further the wisdom and modernization of shrimp culture,this article,according to the survey data of 246 prawn farmers in two provinces and one city of the Yangtze River Delta, uses the Logistic Two element discrete selection model to make an empirical analysis of the willingness of prawn farmers to buy intelligent feeding boat and its influence factors. The results show that the overall willingness of prawn farmers to buy intelligent feeding boat is relatively strong, and the market demand is large, and, among others, the single pond area, feeding costs, prawn farmers' educational level, family income level, demonstration effect of the people around, relatives and friends' suggestions,whether the company provides the service of free use, and government subsidies are the main factors affecting the prawn farmers′ willingness to buy intelligent feeding boat.

关键词(KeyWords): 智能投饵船;购买意愿;影响因素;Logistic二元离散选择模型
Intelligent feeding boat;Purchase willness;Influencing factors;Logistic Two element discrete selection model

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作者(Author): 张效莉;胡忠;纠手才;
ZHANG Xiaoli;HU Zhong;JIU Shoucai;Center for Studies of Marine Economy, Shanghai Ocean University;Yiju Enterprise (China) Group Co., Ltd.;

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