基于GIS的青海省贫困人口空间分布探析
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摘要
[目的]贫困人口脱贫是一项长期而又重大的任务,摸清贫困人口的空间分布格局和特征,是新阶段精准扶贫工作的核心和关键。通过分析青海省贫困人口规模、分布情况,得出贫困人口的空间分布格局和特征。[方法]文章在GIS软件和Geo Da软件的支持下,采用不均衡指数、集中指数和洛伦兹曲线法来测度青海省贫困人口分布的集中化程度,使用青海省贫困人口等数据,在空间上对青海省贫困分布现状进行了刻画。[结果]通过分析得出:青海东部农业区和青南牧业区的贫困人口为两个高值区,柴达木工矿区贫困人口分布较少,呈现出明显的地域分异;贫困发生率与贫困人口分布对比分析得出:柴达木地区贫困人口数最少,贫困发生率也是全省最低的区域;东部地区贫困人口分布是全省最多的区域,但因其人口基数大,贫困发生率低于平均贫困发生率;三江源地区贫困人口数分布较多,因其人口基数较小,该区域为全省贫困发生率最高的区域;计算结果得出,青海省分县贫困发生率Moran'I指数为0. 572,检验结果显著,说明全省县域贫困发生率存在着正相关性,说明贫困发生率相似的县域存在着空间集聚现象。[结论]青海省贫困人口空间分布不均衡是总的特征,根据计算所得结果将全省划分为5种贫困类型区域:消除贫困区、一级贫困区、二级贫困区、三级贫困区和四级贫困区。从自然资源、生态环境和劳动力素质等方面对各贫困区贫困原因进行分析,并提出对策。
Poverty alleviation is a long-term and important task,and the spatial distribution pattern and characteristics of the poverty-stricken population are the core and key of targeted poverty alleviation in new stage. The spatial distribution pattern and characteristics of the poor population can be calculated by analyzing the scale and distribution of poverty in Qinghai province. With the support of GIS software and Geo Da software,this research measured the degree of centralization of poverty population in Qinghai province by using the unbalanced index,concentration index and lorentz curve method. Moreover,it described the space distribution of poverty status in Qinghai province through combining the data of poverty-stricken population in Qinghai province. It is concluded that the poor population in the agricultural area of the eastern part of Qinghai and the pastoral area in the southern part of Qinghai are two high-value areas,and the poor population distribution in Qaidam mining area is less,showing obvious regional differentiation. The comparative analysis of the incidence of poverty and the distribution of poverty-stricken population show that the poverty rate in Qaidam area is the lowest,and the incidence of poverty is the lowest in the province. The distribution of poverty in the eastern region is the largest in the province,but because of its large population,the incidence of poverty is lower than the average poverty rate. The number of poor people in Sanjiangyuan region is more distributed,and the region has the highest incidence of poverty in the whole province because of its small population. The result show that the Moran'I index of poverty incidence is 0.572 in each county of Qinghai province,and the test results are significant. There is a positive correlation between incidence of poverty and a phenomenon of spatial agglomeration among the counties with similar incidence of poverty in Qinghai province. As per the analysis,the Qinghai province is categorized into 5 types of poverty-stricken areas,namely the elimination of poverty-stricken areas,first-grade poverty-stricken areas,secondary poverty-stricken areas,tertiary poverty-stricken areas and four-level poverty-stricken areas. Based on such classification,it analyzed the causes of poverty and proposes some countermeasures from the aspects of natural resources,ecological environment and quality of labor force.
Poverty alleviation is a long-term and important task,and the spatial distribution pattern and characteristics of the poverty-stricken population are the core and key of targeted poverty alleviation in new stage. The spatial distribution pattern and characteristics of the poor population can be calculated by analyzing the scale and distribution of poverty in Qinghai province. With the support of GIS software and Geo Da software,this research measured the degree of centralization of poverty population in Qinghai province by using the unbalanced index,concentration index and lorentz curve method. Moreover,it described the space distribution of poverty status in Qinghai province through combining the data of poverty-stricken population in Qinghai province. It is concluded that the poor population in the agricultural area of the eastern part of Qinghai and the pastoral area in the southern part of Qinghai are two high-value areas,and the poor population distribution in Qaidam mining area is less,showing obvious regional differentiation. The comparative analysis of the incidence of poverty and the distribution of poverty-stricken population show that the poverty rate in Qaidam area is the lowest,and the incidence of poverty is the lowest in the province. The distribution of poverty in the eastern region is the largest in the province,but because of its large population,the incidence of poverty is lower than the average poverty rate. The number of poor people in Sanjiangyuan region is more distributed,and the region has the highest incidence of poverty in the whole province because of its small population. The result show that the Moran'I index of poverty incidence is 0.572 in each county of Qinghai province,and the test results are significant. There is a positive correlation between incidence of poverty and a phenomenon of spatial agglomeration among the counties with similar incidence of poverty in Qinghai province. As per the analysis,the Qinghai province is categorized into 5 types of poverty-stricken areas,namely the elimination of poverty-stricken areas,first-grade poverty-stricken areas,secondary poverty-stricken areas,tertiary poverty-stricken areas and four-level poverty-stricken areas. Based on such classification,it analyzed the causes of poverty and proposes some countermeasures from the aspects of natural resources,ecological environment and quality of labor force.
引文
[1]石文荣.山西省农村贫困的原因及对策探析.山西财经大学学报,2010(32)1:27.
[2]王旭明.西海固贫困分布及特征.固原师专学报,2002,1(23):66-69.
[3]苏强.对脱贫攻坚工作的思考与建议--以六安市裕安区为例.现代经济信息,2016(22):485.
[4]明拥军,陈彤.新疆贫困地区科技扶贫理论与实践的思考.中国农业资源与区划,2006,27(1):40-43.
[5]艾云航.关于贫困山区经济开发问题的探讨.农业区划,1998(5):20-24.
[6]黄欣乐,张小龙,丁永潮,等.福建省贫困人口空间分布、致贫因子及扶贫路径研究.福建农林大学学报,2017,20(4):11-18.
[7]杨国涛.地理区位、农户特征与贫困分布-基于西海固720个农户的分析.财贸研究,2007,2:19-24.
[8]刘彦随,李进涛.中国县域农村贫困化分异机制的地理探测与优化决策.地理学报,2017,72(1):161-173.
[9]张善余.人口地理学概论.上海:华东师范大学出版社,2013.
[10]张晶,封志明,杨艳昭.洛伦兹曲线及其在中国耕地、粮食、人口时空演变格局研究中的应用.干旱区资源与环境,2007,21(11):63-67.
[11]王海英,贾萍.武陵山特困区脆弱生态环境与贫困耦合关系空间分布研究.河南师范大学学报,2017,45(6):18-26.
[12]徐建华.计量地理学.北京:高等教育出版社,2013.
[13]黄欣乐,张小龙,丁永潮,等.福建省贫困人口空间分布、致贫因子及扶贫路径研究.福建农林大学学报,2017,20(4):11-18.
[14]曹惠敏,骆华松.云南农村贫困人口空间结构分析.云南地理环境研究,2012,24(1):68-74.
[2]王旭明.西海固贫困分布及特征.固原师专学报,2002,1(23):66-69.
[3]苏强.对脱贫攻坚工作的思考与建议--以六安市裕安区为例.现代经济信息,2016(22):485.
[4]明拥军,陈彤.新疆贫困地区科技扶贫理论与实践的思考.中国农业资源与区划,2006,27(1):40-43.
[5]艾云航.关于贫困山区经济开发问题的探讨.农业区划,1998(5):20-24.
[6]黄欣乐,张小龙,丁永潮,等.福建省贫困人口空间分布、致贫因子及扶贫路径研究.福建农林大学学报,2017,20(4):11-18.
[7]杨国涛.地理区位、农户特征与贫困分布-基于西海固720个农户的分析.财贸研究,2007,2:19-24.
[8]刘彦随,李进涛.中国县域农村贫困化分异机制的地理探测与优化决策.地理学报,2017,72(1):161-173.
[9]张善余.人口地理学概论.上海:华东师范大学出版社,2013.
[10]张晶,封志明,杨艳昭.洛伦兹曲线及其在中国耕地、粮食、人口时空演变格局研究中的应用.干旱区资源与环境,2007,21(11):63-67.
[11]王海英,贾萍.武陵山特困区脆弱生态环境与贫困耦合关系空间分布研究.河南师范大学学报,2017,45(6):18-26.
[12]徐建华.计量地理学.北京:高等教育出版社,2013.
[13]黄欣乐,张小龙,丁永潮,等.福建省贫困人口空间分布、致贫因子及扶贫路径研究.福建农林大学学报,2017,20(4):11-18.
[14]曹惠敏,骆华松.云南农村贫困人口空间结构分析.云南地理环境研究,2012,24(1):68-74.