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中国农学通报 ›› 2018, Vol. 34 ›› Issue (8): 158-164.doi: 10.11924/j.issn.1000-6850.casb17030140

所属专题: 美丽乡村建设 现代农业发展与乡村振兴 农业地理

• 三农研究 • 上一篇    

新乡市居民乡村旅游决策行为及影响因素研究

秦安振,王亚妮   

  1. 中国农业科学院 农田灌溉研究所,河南师范大学 旅游学院
  • 收稿日期:2017-03-21 修回日期:2018-02-26 接受日期:2017-07-25 出版日期:2018-03-21 发布日期:2018-03-21
  • 通讯作者: 秦安振
  • 基金资助:
    中国农业科学院科技创新工程(ASTIP);中央级科研院所基本科研业务费专项(中国农业科学院农田灌溉研究所)(FIRI2016-04);河南省教 育厅科学技术研究重点项目“我国旅游景区生态文明建设的路径研究”(14A630040)。

Rural Tourism of Residents in Xinxiang: Decision-making Behavior and Influencing Factors

  • Received:2017-03-21 Revised:2018-02-26 Accepted:2017-07-25 Online:2018-03-21 Published:2018-03-21

摘要: 居民乡村旅游决策行为受众多因素影响,筛选影响乡村旅游决策行为的关键因子,将为景区管理部门提升景区吸引力提供重要依据。本研究筛选了12项观测指标,从4个维度分析了新乡市居民的乡村旅游决策行为,构建了基于AMOS结构方程的决策模型。结果表明:居民收入水平、休闲时间和受教育程度是影响乡村旅游决策的重要因素。景区形象对旅游决策的直接影响最大,表明景区自身因素是促使居民做出最终决策的直接因子。旅游攻略主要通过旅游期望对决策产生影响。提高居民收入水平和乡村旅游景区品牌知名度将对城市居民乡村旅游决策的形成产生正向影响。

关键词: 橡胶树, 橡胶树, 次生体细胞胚, 成熟培养, 激素, 脱落酸

Abstract: Abstract: Rural tourism decision-making behaviors of urban residents are driven by a variety of factors. It will provide important theoretical basis for improving the attraction of a scenic spot for tourism management department by identifying key factors affecting rural tourism decision-making behavior. The authors selected 12 measurement indicators to analyze rural tourism decision-making behavior of residents in Xinxiang from 4 dimensions of latent variables, and established a decision model based on AMOS structural equations. The results showed that: residents income level, leisure time, and educational level were important factors significantly affecting rural tourism decision-making; the direct influence of destination image on tourism decision-making was greatest, indicating internal factors of scenic spots were direct decision-making factors driving tourists to make a final decision; tourism strategy had an indirect effect on decision–making mainly through tourism expectation. It was concluded that improving resident income level and enhancing scenic brand awareness would exert positive effects on final tourism decision-making.

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