我校经济管理学院金贵老师团队在T2级别期刊——《Journal of Geographical Sciences》上发表题为“Multidimensional measurement of poverty and its spatio-temporal dynamics in China from the perspective of development geography”。论文通讯作者金贵为经济管理学院教授、博士生导师。
Abstract / 摘要：
MT 探索贫困的时空动态对于我国可持续减贫研究具有重要意义。本文基于发展地理学的视角,提出了将人类发展方法与可持续发展目标全球指标框架相结合的面板向量自回归( PVAR )模型,以识别中国的致贫因素和减贫因素。旨在测度2007—2017年中国各省的多维贫困指数( MPI ),并运用探索性时空数据分析( ESTDA )方法揭示多维贫困的时空动态特征。结果表明：( 1 )我国的致贫因素包括较高的社会总抚养比和灾种比,减贫因素包括较高的人均GDP、人均社会保障支出、人均公共卫生支出、人均万人医院数、新型农村合作医疗参合率、植被复盖率、人均教育支出、高校数量、人均研究开发( R )
原文 Exploring the spatio-temporal dynamics of poverty is important for research on sustainable poverty reduction in China. Based on the perspective of development geography, this paper proposes a panel vector autoregressive (PVAR) model that combines the human development approach with the global indicator framework for Sustainable Development Goals (SDGs) to identify the poverty-causing and the poverty-reducing factors in China. The aim is to measure the multidimensional poverty index (MPI) of China’s provinces from 2007 to 2017, and use the exploratory spatio-temporal data analysis (ESTDA) method to reveal the characteristics of the spatio-temporal dynamics of multidimensional poverty. The results show the following: (1) The poverty-causing factors in China include the high social gross dependency ratio and crop-to-disaster ratio, and the poverty-reducing factors include the high per capita GDP, per capita social security expenditure, per capita public health expenditure, number of hospitals per 10,000 people, rate of participation in the new rural cooperative medical scheme, vegetation coverage, per capita education expenditure, number of universities, per capita research and development (R&D) expenditure, and funding per capita for cultural undertakings. (2) From 2007 to 2017, provincial income poverty (IP), health poverty (HP), cultural poverty (CP), and multidimensional poverty have been significantly reduced in China, and the overall national poverty has dropped by 5.67% annually. there is a differentiation in poverty along different dimensions in certain provinces. (3) During the study period, the local spatial pattern of multidimensional poverty between provinces showed strong spatial dynamics, and a trend of increase from the eastern to the central and western regions was noted. The MPI among provinces exhibited a strong spatial dependence over time to form a pattern of decrease from northwestern and northeastern China to the surrounding areas. (4) The spatio-temporal networks of multidimensional poverty in adjacent provinces were mainly negatively correlated, with only Shaanxi and Henan, Shaanxi and Ningxia, Qinghai and Gansu, Hubei and Anhui, Sichuan and Guizhou, and Hainan and Guangdong forming spatially strong cooperative poverty reduction relationships. These results have important reference value for the implementation of China’s poverty alleviation strategy.
论文信息;
Title/题目:
Multidimensional measurement of poverty and its spatio-temporal dynamics in China from the perspective of development geography
Authors/作者:
Dong Yin; Jin Gui; Deng Xiangzheng; Wu Feng
Key Words / 关键词 ：
development geography; multidimensional poverty; poverty measurement; spatio-temporal dynamics; collaborative poverty reduction
Indexed by / 核心评价 ：
CSTPCD; SCI; CSCD; AHCI; Scopus; INSPEC; WAJCI; Kjqkxm;
DOI: 10.1007/S11442-021-1836-X
全文链接：https://link.springer.com/article/10.1007/s11442-021-1836-x
