新疆边境贫困县自然地理环境影响因素实证分析

干旱区地理 ›› 2015, Vol. 38 ›› Issue (4): 814-820.

新疆边境贫困县自然地理环境影响因素实证分析

黄国勇^1,2, 张敏², 夏咏², 秦波³

1. 安徽蚌埠学院, 安徽蚌埠 233030;
2. 新疆农业大学经济与贸易学院, 新疆乌鲁木齐 830052;
3. 新疆发改委经济研究院, 新疆乌鲁木齐 830002

收稿日期:2014-09-15 修回日期:2014-12-28 出版日期:2015-07-25
通讯作者: 张敏(1955-),女,山西人,教授,博导,研究方向为投资与财务分析
作者简介:黄国勇(1979-),男,湖南人,新疆农业大学经济与贸易学院博士研究生,研究方向为农业经济管理.Email:1327755326@qq.com
基金资助:
受国家发改委委托"以工代赈"课题:《新疆边境贫困县(市)贫困成因及扶贫开发模式创新研究》资助(无项目编号)

Poor effect test of natural geographical environment in arid areas Quantile regression method based on panel data

HUANG Guo-yong^1,2, ZHANG Min², Xia Yong², QIN Bo³

1. Anhui Bengbu College, Bengbu 233030, Anhui, China;
2. Xinjiang Agricultural University School of Economy and Trade, Urumqi 830052, Xinjiang, China;
3. Development and Reform Commission in Xinjiang, Urumqi 830002, Xinjiang, China

Received:2014-09-15 Revised:2014-12-28 Online:2015-07-25

摘要/Abstract

摘要： 运用新疆17个边境重点贫困县市的面板数据,比较OLS与分位数回归方法验证自然地理环境对边境县(市)农民收入和农村贫困率的影响,结果表明:一定生产力背景下,自然地理环境对收入和贫困仍具有一定的负向影响,而作用机理非常复杂。同时,社会、经济发展措施也能从不同方向、水平上缓解自然地理条件的负面作用。

关键词: 贫困, 自然地理环境, 分位数回归, 边境贫困重点县市

Abstract: In this paper, based on the panel data from 17 border cities of poverty-stricken counties in Xinjiang during 2006-2012, the following results by have been got compared with OLS and quantile regression method. It is indicated as follows:(1) With some certain high elevation environments, there exists obvious negative effects on farmers' income and rural poverty, while during the frost-free period, the effects on farmers' income and the rural poverty have not significant difference in proportion of the affected area. Per capital of forest land areas, mineral resources and other nature conditions is of obvious effects on farmers' income and rural poverty, but in the opposite, per capital of forest land area is of positive effect for the farmers' income and rural poverty. Mineral resources has a negative effect to the farmers' income, but a positive effect on rural poverty.(2)Per acre in the amount of water that is available reduce forest area, county road density affects farmers' income but no significant effect on rural poverty, At the same time, annual rainfall, per capital arable land area and the urban area only have significant effects on rural poverty.(3) The farmers' education level and the poverty alleviation funds can't significantly increase farmers' income per capital, but it will slow down the rural poverty. Other social and economic factors on farmers' income and poverty reduction have certain significant effects. The innovation of this paper is to combine poor natural geographical environment with the special social background of the frontier and thus analyze the natural geographical environment of poor effect and the social and economic development of poverty reduction effect under the conditions of different quantile levels.

Key words: poverty, natural geographical environment, Quantile regression, the border poverty counties and urban areas

中图分类号:

P942（245）

黄国勇, 张敏, 夏咏, 秦波. 新疆边境贫困县自然地理环境影响因素实证分析[J]. 干旱区地理, 2015, 38(4): 814-820.

HUANG Guo-yong, ZHANG Min, Xia Yong, QIN Bo. Poor effect test of natural geographical environment in arid areas Quantile regression method based on panel data[J]. , 2015, 38(4): 814-820.

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