中国沙漠 ›› 2019, Vol. 39 ›› Issue (6): 192-199.DOI: 10.7522/j.issn.1000-694X.2019.00099

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刘璐璐1,2, 李锋瑞1   

  1. 1. 中国科学院西北生态环境资源研究院, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2019-09-09 修回日期:2019-10-25 发布日期:2019-11-14
  • 通讯作者: 李锋瑞(
  • 作者简介:刘璐璐(1984-),女,山东威海人,博士研究生,研究方向为生态经济、区域可持续发展。
  • 基金资助:

Comparison of Engel's Coefficient of the Households Affected by the Grain-for-Green Project in Huining and Anding, Gansu, China

Liu Lulu1,2, Li Fengrui1   

  1. 1. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-09-09 Revised:2019-10-25 Published:2019-11-14

摘要: 测度退耕还林农户的恩格尔系数并分析其显著影响因素及差异性,对于完善退耕还林政策、巩固退耕还林成果、改善退耕农户贫困状况具有重要的现实意义。选取位于黄土高原丘陵沟壑区的会宁县和定西市安定区退耕户跟踪数据,基于收入、政策、家庭因素等多个层面构建相关经济指标,揭示两个区域退耕户恩格尔系数呈现的基本特征、显著影响因素及其差异性。结果表明:首先,由于自然地理环境和区位相近,会宁县和安定区退耕户恩格尔系数呈现出较为一致的高位波动趋势,消费需求弹性较弱是主要影响因素;其次,退耕还林户补贴率对会宁县恩格尔系数有显著的负向影响,说明退耕还林政策对当地居民经济生活具有显著影响,安定区退耕还林户补贴率对恩格尔系数有显著的正向影响,主要原因是退耕还林补贴额在家庭收入中所占比重较少;最后,会宁县和安定区农户退耕率对恩格尔系数有显著影响,这意味着退耕户的主要收入来源于农业收入。

关键词: 恩格尔系数, 退耕还林, 农户

Abstract: Measuring the Engel's coefficient of farmers is important in grain-for-green area. This paper collects the tracking data of Huining County and Anding District and then builds economic indicators with income, policy and family factors. These indicators reveal the differences of the Engel's coefficient in the two regions. The results show that:Firstly, due to the similar geographical location, the Engel's coefficient of Huining and Anding shows a similar trend of high fluctuation, which is mainly caused by the weak elasticity of consumer demand; secondly, the subsidy rate of the farmers has a significant negative impact on the Engel's coefficient in Huining. It shows that the macro policy has a significant effect on the economic life of local residents and implies the rule of fiscal transfer payment. However, the subsidy rate in Anding has a significant positive impact on the Engel's coefficient because of the subsidy accounts for a small proportion of household income; finally, the rate of grain-for-green plays crucial rule on the Engel's coefficient. It means that the main income of the farmers is derived from crop income. Our results have practical significance for achieving accurate poverty alleviation and rural revitalization.

Key words: Engel's coefficient, grain-for-green policy, rural households