This paper investigates how fiscal spending on livelihood improves multidimensional household poverty in China.Based on the panel data of the“China Health and Nutrition Survey”(CHNS)for 2004-2015,we measured the chr...This paper investigates how fiscal spending on livelihood improves multidimensional household poverty in China.Based on the panel data of the“China Health and Nutrition Survey”(CHNS)for 2004-2015,we measured the chronic multidimensional poverty index for Chinese households.We have created a multitiered model for empirical analysis.Our findings suggest that multidimensional poverty in China is predominantly capacity poverty.Fiscal spending on livelihoods significantly reduces multidimensional poverty for Chinese households,especially rural households.Investments on livelihoods are more poverty-reducing than transfer spending on livelihoods.As an innovation,this paper offers a dynamic analysis of the effects of livelihood spending on multidimensional household poverty controlling for heterogeneity between individual households and across regions.Our conclusion suggests that the government should improve policy arrangements to increase social opportunities and support sustainable development capacities for the poor,while enhancing protective social security systems.展开更多
Blowing snow is a typical natural hazard in high-altitude and snow-prone regions,and its impact could be significantly reduced by accurate forecasts.The empirical study on the conditions for blowing snow hazards on th...Blowing snow is a typical natural hazard in high-altitude and snow-prone regions,and its impact could be significantly reduced by accurate forecasts.The empirical study on the conditions for blowing snow hazards on the Sichuan-Xizang Highway in high-altitude mountainous areas are conducted in this paper.The study reveals that blowing snow events primarily occur from December to the following February,with the affected roads mainly located in mountainous areas above altitudes of 3000 m.Based on physical characteristics,snow cover is categorized into three types with different processes of snowdrifts:newly fallen or wind-transported snow,slightly consolidated snow,and compacted snow undergoing freeze-thaw cycles,each exhibiting distinct snowdrift formation processes.Field measurement results indicate that the average threshold wind speeds for initiating blowing snow are 9.65,14.77,and 23.15 m s^(-1)at the 10-m height for these three snow types,respectively.Additionally,analyzing the effects of temperature and snowfall timing on threshold wind velocity,a multi-tiered susceptibility model for blowing snow is developed.This model offers enhanced practical applicability for classifying different types of snow and provides more detailed insights into the variations in threshold wind speed during both the early and later stages of snowfall events,compared to models that rely solely on constant thresholds or temperature-based criteria.展开更多
In this paper,we design a resource management scheme to support stateful applications,which will be prevalent in sixth generation(6G)networks.Different from stateless applications,stateful applications require context...In this paper,we design a resource management scheme to support stateful applications,which will be prevalent in sixth generation(6G)networks.Different from stateless applications,stateful applications require context data while executing computing tasks from user terminals(UTs).Using a multi-tier computing paradigm with servers deployed at the core network,gateways,and base stations to support stateful applications,we aim to optimize long-term resource reservation by jointly minimizing the usage of computing,storage,and communication resources and the cost of reconfiguring resource reservation.The coupling among different resources and the impact of UT mobility create challenges in resource management.To address the challenges,we develop digital twin(DT)empowered network planning with two elements,i.e.,multi-resource reservation and resource reservation reconfiguration.First,DTs are designed for collecting UT status data,based on which UTs are grouped according to their mobility patterns.Second,an algorithm is proposed to customize resource reservation for different groups to satisfy their different resource demands.Last,a Meta-learning-based approach is developed to reconfigure resource reservation for balancing the network resource usage and the reconfiguration cost.Simulation results demonstrate that the proposed DTempowered network planning outperforms benchmark frameworks by using less resources and incurring lower reconfiguration costs.展开更多
基金supported by the National Social Science Foundation of China(NSSFC)Project“Study on the Dynamic Effects of Fiscal Spending on Multidimensional Poverty”(Grant No.19BJY229).
文摘This paper investigates how fiscal spending on livelihood improves multidimensional household poverty in China.Based on the panel data of the“China Health and Nutrition Survey”(CHNS)for 2004-2015,we measured the chronic multidimensional poverty index for Chinese households.We have created a multitiered model for empirical analysis.Our findings suggest that multidimensional poverty in China is predominantly capacity poverty.Fiscal spending on livelihoods significantly reduces multidimensional poverty for Chinese households,especially rural households.Investments on livelihoods are more poverty-reducing than transfer spending on livelihoods.As an innovation,this paper offers a dynamic analysis of the effects of livelihood spending on multidimensional household poverty controlling for heterogeneity between individual households and across regions.Our conclusion suggests that the government should improve policy arrangements to increase social opportunities and support sustainable development capacities for the poor,while enhancing protective social security systems.
基金Supported by the National Natural Science Foundation of China(52278511)Innovative Development Special Project of China Meteorological Administration(CXFZ2025J071)“Leading the List”Project of Yunnan Meteorological Administration(YNJBGS202306)。
文摘Blowing snow is a typical natural hazard in high-altitude and snow-prone regions,and its impact could be significantly reduced by accurate forecasts.The empirical study on the conditions for blowing snow hazards on the Sichuan-Xizang Highway in high-altitude mountainous areas are conducted in this paper.The study reveals that blowing snow events primarily occur from December to the following February,with the affected roads mainly located in mountainous areas above altitudes of 3000 m.Based on physical characteristics,snow cover is categorized into three types with different processes of snowdrifts:newly fallen or wind-transported snow,slightly consolidated snow,and compacted snow undergoing freeze-thaw cycles,each exhibiting distinct snowdrift formation processes.Field measurement results indicate that the average threshold wind speeds for initiating blowing snow are 9.65,14.77,and 23.15 m s^(-1)at the 10-m height for these three snow types,respectively.Additionally,analyzing the effects of temperature and snowfall timing on threshold wind velocity,a multi-tiered susceptibility model for blowing snow is developed.This model offers enhanced practical applicability for classifying different types of snow and provides more detailed insights into the variations in threshold wind speed during both the early and later stages of snowfall events,compared to models that rely solely on constant thresholds or temperature-based criteria.
基金supported by the Natural Sciences and Engineering Research Council(NSERC)of Canada.
文摘In this paper,we design a resource management scheme to support stateful applications,which will be prevalent in sixth generation(6G)networks.Different from stateless applications,stateful applications require context data while executing computing tasks from user terminals(UTs).Using a multi-tier computing paradigm with servers deployed at the core network,gateways,and base stations to support stateful applications,we aim to optimize long-term resource reservation by jointly minimizing the usage of computing,storage,and communication resources and the cost of reconfiguring resource reservation.The coupling among different resources and the impact of UT mobility create challenges in resource management.To address the challenges,we develop digital twin(DT)empowered network planning with two elements,i.e.,multi-resource reservation and resource reservation reconfiguration.First,DTs are designed for collecting UT status data,based on which UTs are grouped according to their mobility patterns.Second,an algorithm is proposed to customize resource reservation for different groups to satisfy their different resource demands.Last,a Meta-learning-based approach is developed to reconfigure resource reservation for balancing the network resource usage and the reconfiguration cost.Simulation results demonstrate that the proposed DTempowered network planning outperforms benchmark frameworks by using less resources and incurring lower reconfiguration costs.
