湖北农业科学 ›› 2022, Vol. 61 ›› Issue (24): 200-205.doi: 10.14088/j.cnki.issn0439-8114.2022.24.041

• 经济·管理 • 上一篇    下一篇

基于COX比例风险模型的农户绿色转型生产影响研究

兰宇, 苏向辉, 马瑛, 何小方   

  1. 新疆农业大学管理学院,乌鲁木齐 830052
  • 收稿日期:2021-08-02 出版日期:2022-12-25 发布日期:2023-01-18
  • 通讯作者: 马瑛(1975-),女,山东冠县人,教授,博士,主要从事农业资源与环境研究,(电话)17303256637(电子信箱)xndmy@qq.com。
  • 作者简介:兰宇(1996-),男,河北邯郸人,在读硕士研究生,研究方向为农村经济理论与政策,(电话)15633781609(电子信箱)1228188922@qq.com。
  • 基金资助:
    国家社会科学基金项目(19BGL157); 新疆维吾尔自治区“三农”课题(2519NYNCT)

Research on the impact of farmers' green transformation production based on the COX proportional risk model

LAN Yu, SU Xiang-hui, MA Ying, HE Xiao-fang   

  1. School of Management, Xinjiang Agricultural University, Urumqi 830052,China
  • Received:2021-08-02 Online:2022-12-25 Published:2023-01-18

摘要: 以新疆奇台县为例,对农户进行实地调研,通过访谈、问卷调查、文献研究等形式获得数据,建立COX比例风险模型,分析农户绿色转型生产意愿及影响因素。结果表明,在内在意识与外部环境的双重影响下,农户受教育程度、政府补贴、环保意识、预期收入等对农户绿色转型生产具有显著影响。基于此,提出加强绿色理念宣传、完善保障补贴机制、创新销售渠道和建立经营主体多元协作等针对性措施。研究旨在保障农户持续增收的同时,引导和规范农户绿色转型生产。

关键词: 农户绿色转型, 影响因素, COX比例风险模型

Abstract: Taking Qitai county in Xinjiang as an example, this paper conducted field investigations on farmers, obtained data through interviews, questionnaire surveys, and literature studies, established the COX proportional risk model, and analyzed farmers' willingness to transition to green production and influencing factors. The results showed that under the dual influence of internal awareness and external environment, farmers' education level, government subsidies, environmental awareness, and expected income had a significant impact on farmers' green transition production. Based on this, targeted measures such as strengthening the promotion of green concepts, improving the guarantee subsidy mechanism, innovating sales channels, and establishing diversified cooperation among operating entities were proposed. The research aimed to guide and regulate farmers' green transformation production while ensuring the continuous increase of farmers' income.

Key words: green transformation of farmers, influencing factors, COX proportional risk model

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