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Social protection can be a strategic tool for climate risk management and provides an important answer to the current calls for climate action and for increased resilience as we recover from COVID-19.

Among the important tasks of the UNFSS is identifying ways to finance the transformation of the global food system.

This paper is a contribution to the empirical literature that seeks to understand the factors contributing to poverty reduction in developing countries. Studies have sought to explain changes in poverty between two points in time by decomposing aggregate change in poverty into component factors, viz.

Modern economic policy making in Nigeria has placed enormous emphasis on diversification of the economy to non-oil productive sectors.

Myanmar, a least developed country, has made significant achievements in poverty reduction over the last decade. Despite such achievements, analyses of available data prior to the COVID-19 pandemic show that millions of people in Myanmar had remained vulnerable and at risk of falling into poverty in the face of a negative shock.

As humanity’s demand on natural resources is increasingly exceeding Earth’s biological rate of regeneration, environmental deterioration such as greenhouse gas accumulation in the atmosphere, ocean acidification and groundwater depletion is accelerating. As a result, the capacity of ecosystems to renew biomass, herein referred to as ‘biocapacity’, is becoming the material bottleneck for the human economy.

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One year on from the start of the coronavirus pandemic, many of the fears about the increase in hunger and poverty have been confirmed.

Despite turning out better than expected, growth in 2020 is estimated to be the worst on record, at –1.9 percent, leading to a large increase in poverty.

Basic Statistics 2021 presents data for 46 economies in Asia and the Pacific on development indicators tracking progress toward the Sustainable Development Goals.

In view of importance of regular reporting of the state-wise values of HDI, GDI and GII, an attempt has been made to compute HDI, GDI and GII using the HDRO methodology and available data sets for the States/UTs as well as for the country as a whole for the years 2011-12 and 2017-18.