The G20 Leaders’Summit will be held in South Africa in late November.As the presiding nation,South Africa has held or will host a total of 132 o"cial meetings this year,aiming to address the most pressing challe...The G20 Leaders’Summit will be held in South Africa in late November.As the presiding nation,South Africa has held or will host a total of 132 o"cial meetings this year,aiming to address the most pressing challenges facing the world,particularly those a!ecting countries in the Global South.In recent years,hunger and poverty have remained persistent challenges globally.Despite impressive economic growth in many countries,millions still su!er from food insecurity,malnutrition,and extreme poverty,particularly in the Global South.Recognising this,the G20 has launched a key initiative,the Global Alliance Against Hunger and Poverty(GAAHP),aimed at accelerating progress towards the United Nations Sustainable Development Goals(SDGs),specifically SDG 1(no poverty),SDG 2(zero hunger),and related goals focused on reducing inequality and fostering global partnerships.展开更多
Leaving no one behind is a worldwide goal,but it is difficult to make policy to address this issue because we do not have a thorough knowledge of where poverty exists and in what forms due to lack of data,particularly...Leaving no one behind is a worldwide goal,but it is difficult to make policy to address this issue because we do not have a thorough knowledge of where poverty exists and in what forms due to lack of data,particularly in developing countries.Household interview surveys are the common way to collect such information,but conducting large-scale surveys frequently is difficult from the perspective of cost and time.Here,we show a novel method for estimating income levels of individual building in urban and peri-urban rural areas.The combination of high-resolution satellite imagery and household interview survey data obtained by visiting households on the ground makes it possible to estimate income levels at a detailed scale for the first time.These data are often handled in different academic disciplines and are rarely used in combination.Using the results,we can determine the number and location of poor people at the local scale.We can also identify areas with particularly high concentrations of poor people.This information enables planning and policy making for more effective poverty reduction and disaster prevention measures tailored to local conditions.Thus,the results of this study will help developing countries to achieve sustainable development.展开更多
文摘The G20 Leaders’Summit will be held in South Africa in late November.As the presiding nation,South Africa has held or will host a total of 132 o"cial meetings this year,aiming to address the most pressing challenges facing the world,particularly those a!ecting countries in the Global South.In recent years,hunger and poverty have remained persistent challenges globally.Despite impressive economic growth in many countries,millions still su!er from food insecurity,malnutrition,and extreme poverty,particularly in the Global South.Recognising this,the G20 has launched a key initiative,the Global Alliance Against Hunger and Poverty(GAAHP),aimed at accelerating progress towards the United Nations Sustainable Development Goals(SDGs),specifically SDG 1(no poverty),SDG 2(zero hunger),and related goals focused on reducing inequality and fostering global partnerships.
文摘Leaving no one behind is a worldwide goal,but it is difficult to make policy to address this issue because we do not have a thorough knowledge of where poverty exists and in what forms due to lack of data,particularly in developing countries.Household interview surveys are the common way to collect such information,but conducting large-scale surveys frequently is difficult from the perspective of cost and time.Here,we show a novel method for estimating income levels of individual building in urban and peri-urban rural areas.The combination of high-resolution satellite imagery and household interview survey data obtained by visiting households on the ground makes it possible to estimate income levels at a detailed scale for the first time.These data are often handled in different academic disciplines and are rarely used in combination.Using the results,we can determine the number and location of poor people at the local scale.We can also identify areas with particularly high concentrations of poor people.This information enables planning and policy making for more effective poverty reduction and disaster prevention measures tailored to local conditions.Thus,the results of this study will help developing countries to achieve sustainable development.
