The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development...The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.展开更多
Poverty is a severe barrier to sustainable human development and a pressing worldwide issue.Understanding how to accurately assess the spatial distribution of poverty in mountain areas has become crucial for ensuring ...Poverty is a severe barrier to sustainable human development and a pressing worldwide issue.Understanding how to accurately assess the spatial distribution of poverty in mountain areas has become crucial for ensuring that governments at all levels take suitable poverty reduction strategies.In this study,the mountain poverty spatial index(MPSI)was created by combining the digital elevation model(DEM),Luojia-1 night-time light imagery,point of interest(POI)data,and vegetation index products.The MPSI was then used to identify the spatial characteristics of poverty at different scales in the hilly area of Ganzhou city,Jiangxi Province,China.Socioeconomic statistics and Google satellite images were used to verify the reliability of MPSI by constructing a multidimensional poverty index(MPI)at the county scale.The results showed that MPSI and MPI have a positive correlation with a correlation coefficient of 0.8934(P<0.001),which indicates that MPSI could be used to identify the spatial distribution of poverty well.Specifically,the smallest distribution of both MPSI and MPI was in Zhanggong District(1.4555 and 0.1894),which indicates that most of the affluent counties were concentrated in the central region of Ganzhou,and the poor areas were scattered in the surrounding areas of Ganzhou.In addition,MPSI accurately identified poverty in mountainous areas with complex terrain in small administrative units,which can provide a more accurate way to monitor the poverty situation in the mountainous areas of China.This study will be useful for providing scientific references for the Chinese government to implement targeted strategies for eradicating poverty with differentiated policies.展开更多
基金financially supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region,China(2022D01B234).
文摘The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.
基金supported by the Science and Technology Program of Jiangxi Provincial Education Department(GJJ180233)。
文摘Poverty is a severe barrier to sustainable human development and a pressing worldwide issue.Understanding how to accurately assess the spatial distribution of poverty in mountain areas has become crucial for ensuring that governments at all levels take suitable poverty reduction strategies.In this study,the mountain poverty spatial index(MPSI)was created by combining the digital elevation model(DEM),Luojia-1 night-time light imagery,point of interest(POI)data,and vegetation index products.The MPSI was then used to identify the spatial characteristics of poverty at different scales in the hilly area of Ganzhou city,Jiangxi Province,China.Socioeconomic statistics and Google satellite images were used to verify the reliability of MPSI by constructing a multidimensional poverty index(MPI)at the county scale.The results showed that MPSI and MPI have a positive correlation with a correlation coefficient of 0.8934(P<0.001),which indicates that MPSI could be used to identify the spatial distribution of poverty well.Specifically,the smallest distribution of both MPSI and MPI was in Zhanggong District(1.4555 and 0.1894),which indicates that most of the affluent counties were concentrated in the central region of Ganzhou,and the poor areas were scattered in the surrounding areas of Ganzhou.In addition,MPSI accurately identified poverty in mountainous areas with complex terrain in small administrative units,which can provide a more accurate way to monitor the poverty situation in the mountainous areas of China.This study will be useful for providing scientific references for the Chinese government to implement targeted strategies for eradicating poverty with differentiated policies.
