地理研究 ›› 2017, Vol. 36 ›› Issue (2): 226-240.doi: 10.11821/dlyj201702003

• 研究论文 • 上一篇    下一篇

快速城市化背景下城市边缘区失地农民适应性研究——以西安市为例

何艳冰1,2(), 黄晓军1(), 杨新军1   

  1. 1. 西北大学城市与环境学院,西安 710127
    2. 河南理工大学建筑与艺术设计学院,焦作 454000
  • 收稿日期:2016-08-30 修回日期:2016-11-29 出版日期:2017-02-20 发布日期:2017-02-20
  • 作者简介:

    作者简介:何艳冰(1983- ),女,河南新乡人,博士生,讲师,主要研究方向为城市脆弱性与可持续发展。E-mail:heyanbing2008@hpu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41401138,41571163);教育部人文社科研究项目(12YJC790072);陕西省自然科学基金项目(2014JQ5195)

Adaptation of land-lost farmers to rapid urbanization in urban fringe: A case study of Xi'an

Yanbing HE1,2(), Xiaojun HUANG1(), Xinjun YANG1   

  1. 1. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
    2. School of Architectural & Artistic Design, Henan Polytechnic University, Jiaozuo 454000, Henan, China
  • Received:2016-08-30 Revised:2016-11-29 Online:2017-02-20 Published:2017-02-20

摘要:

全球变化背景下的适应性研究是当前地学领域关注的焦点议题,为可持续发展研究提供了新的视角。将适应性分析框架应用到城市边缘区失地农民研究中,基于失地农民适应性内涵,从认知能力、缓冲能力、学习能力、转型能力和管理能力五方面构建适应能力评价指标体系,以西安城市边缘区为案例,通过实地调研、问卷调查与深度访谈获取数据,在对失地农民适应模式进行分类的基础上,采用熵权TOPSIS法评价不同类型失地农民的适应能力,辨识制约失地农民适应能力提升的障碍因素。结果表明:① 失地农民的适应模式分为短期雇工型、租金主导型、自主创业型、工资保障型和社保依赖型五种类型;② 不同类型失地农民适应能力的评价结果依次为自主创业型>租金主导型>工资保障型>短期雇工型>社保依赖型;③ 不同类型失地农民适应能力的障碍因素呈趋同态势,其中职业技能培训、收入多样性指数、社会保障满意度、职业稳定程度和政府帮扶程度是主要障碍因子。最后,提出失地农民适应性管理对策建议及未来需进一步关注的问题。

关键词: 城市边缘区, 失地农民, 适应性, 适应能力, 熵权TOPSIS法, 西安

Abstract:

Research on adaptation in the context of global change (e.g., climate change, natural disaster, and ecological system) has received broad attention, however, relatively few attempts have been made to assess the effects of social and human variation on adaptation. With China’s rapid urbanization, many farmers in urban fringe areas lost their farmland and had to adjust their livelihood so as to adapt social and spatial change. Thus, the adaptation of these land-lost farmers has become an important social issue in China. This article applies the adaptation analytical framework to the case of land-lost farmers in the urban fringe of Xi'an, and defines the concept and adaptation framework of land-lost farmers. Based on the conception and analytical framework, we developed an indicator system to evaluate adaptive capacity from five dimensions including cognitive capacity, buffering capacity, learning capacity, transformative capacity and management capacity. Using a mix of qualitative and quantitative analyses, we combined data from in-person interviews with household surveys in 2015. Based on the way of livelihood and employment, five types of adaptation strategies for land-lost households were classified: short-term employment, rents from commercial house, self-employment, regular earnings and social security from government. The approach of TOPSIS was used to assess adaptive capacity for different types of land-lost households. The result shows that the value of adaptive capacity for type of self-employment is the highest, and the type of social security from government is the lowest. In order to find out which factors limit the adaptive capacity, an obstacle degree model was introduced in this study. Vocational skills training, income diversity index, satisfaction of social security system, occupational stability and government support are major factors that influence the adaptive capacity of land-lost farmers. Eventually, the paper presents the measures and proposals about adaptive management from aspects of land-lost farmers, community and government. Our findings highlight the need for land-lost farmers to improve their vocational skills, and enhance transformative capacity to non-agricultural industries and urban society. And the community support system should also be brought into full play in promoting adaptation. Simultaneously, local governments should make corresponding management measures to different types of land-lost farmers, such as employment training, improvement of social security system, acceleration of population urbanization and so on. The conclusions in this paper could provide some empirical guidance for coordinating the relationship between human and environment and improving adaptive capacity of land-lost farmers.

Key words: urban fringe, land-lost farmers, adaptation, adaptive capacity, entropy-TOPSIS method, Xi'an