摘要
贫困县的脱贫对促进区域平衡发展和共同富裕具有重要意义。文章引入地理资本的理论视角,利用空间分析和有序Logit回归模型,揭示了2016—2020年脱贫攻坚时期中国国家级贫困县脱贫的时空特征与影响因素。研究发现,贫困县的脱贫集中发生在2017—2019年,在空间上呈现两种集聚特征:一是行政区集聚,即同一地级市范围内的县域脱贫时间相近;二是自然区集聚,即一个自然地理区范围内的县域脱贫时间相近。它们反映了贫困县脱贫与人文和自然地理因素之间的关系。贫困县脱贫受到区域人文和自然环境因素的综合影响,包括地方生产力水平、农业发展基础、经济活力、在区域经济体系中的经济区位等经济地理资本,第二产业就业机会、居民储蓄存款、人口密度等社会地理资本以及平均坡度、平均降水量等生态地理资本。研究结果对促进贫困县持续发展、缩小相对贫困具有参考价值。
Poverty alleviation in poverty-stricken counties is important for promoting even regional development and common prosperity.Based on the geographical capital theory,this paper applied spatial analysis and ordered Logit regression models to explore the spatio-temporal characteristics and determinants of poverty alleviation in state-level poor counties during the poverty alleviation period of 2016-2020.The key findings are as follows:Firstly,the distribution of state-level poor counties is characterized by the regional pattern of highly concentrating in the central and western areas of China,and this regional concentration has the feature of spatially contiguous.Secondly,the poverty alleviation in poor counties occurred primarily between 2017 and 2019.The process is characterized by two kinds of geographical clustering:administrative-area-based clustering and natural-area-based clustering.Administrative clustering refers to counties that are affiliated to the same prefecture-level city alleviate poverty at a similar time,while the natural-area clustering refers to counties that are located in a natural geographical area alleviate poverty at a similar time.Such clustering reflects the connection between poverty alleviation and human and physical geographical factors.Thirdly,poverty alleviation in poor counties is influenced by both human and natural environmental factors,including the economic geographical capital such as local productivity level,agricultural development,economic vitality,and economic location in the regional economic system,the social geographical capital such as secondary industry employment opportunities,resident savings deposits and population density,and the ecological geographical capital such as average slope and average precipitation.The results have reference value for promoting sustainable development and reducing relative poverty in poor counties.
作者
黄耿志
柴力行
HUANG Gengzhi;CHAI Lixing(School of Geography and Planning,Sun Yat-Sen University,Guangzhou 510006,Guangdong,China;Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai 519000,Guangdong,China)
出处
《经济地理》
CSSCI
CSCD
北大核心
2023年第3期162-171,共10页
Economic Geography
基金
国家自然科学基金项目(42122007、41930646)。
关键词
贫困地理
贫困县
脱贫
地理资本
经济、社会与生态
扶贫政策
集中特困连片区
geography of poverty
poor counties
poverty alleviation
geographical capital
economy-society-ecology
poverty alleviation policy
areas with concentrated extreme poverty
