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Pakistan’s first ever official report on multidimensional poverty was launched by the Ministry of Planning, Development and Reform. According to the report, nearly 39 percent of Pakistanis live in multidimensional poverty, with the highest rates of poverty in FATA and Balochistan.

Why does data about increasing rural consumption shock us? Urban imagination sees the rural as a static, timeless domain where people are bare-minimalists lacking in ambition, agency or entrepreneurship. However, even if agriculture is declining, the rural isn’t. The rural is getting reconstituted amidst this confusion with ambivalent trends.

Drawing on rich datasets from national household surveys (DHS and MICS), the 2016 global Multidimensional Poverty Index (MPI) covers 46 countries in Africa, which are home to just over 1 billion people. Of these, 54% of the population, 544 million people, are multidimensionally poor.

This publication is a joint effort by the GEF partnership to showcase some of the insights gained from the now substantial portfolio of GEF-funded adaptation projects.

This paper provides an overview of poverty and well-being trends in India since the mid-1990s. Poverty reduction since 2005 has been much faster than the earlier decade, as a result of broad-based growth across most geographic areas. Underlying this is a pattern of high mobility in economic status that has led to an emerging middle class.

A taskforce set up by Niti Aayog on eliminating poverty released its report dealing in detail on how key government initiatives can contribute to uplift of poor, but stopped short of determining the poverty line as practised traditionally.

While the finance minister took care to express the commitment of his government to poor and vulnerable people while presenting the Union Budget for 2016–17, this stated commitment has not been backed by adequate increases in allocations to areas of critical interest to the poor. It is likely that resource constraints will continue to be a serious hindrance in important areas like nutrition, health and livelihood support. (Letter)

This paper uses panel data to analyze factors that contributed to the rapid decline in poverty in India between 2005 and 2012. The analysis employs a nonparametric decomposition method that measures the relative contributions of different components of household livelihoods to observed changes in poverty.

Indian agriculture is once again in a slowdown. After the spurt of 2004–05—2011–12 when growth accelerated and the variability of production declined, in recent years growth has slowed and volatility has risen. Given weak world economic prospects and looming climate change, the main objectives of agricultural policy should now be to (i) enhance effi ciency of production and natural resource use, and (ii) devise appropriate safety nets to cope with risks whether from markets or climate.

A close examination of Bihar's recent growth experience reveals several paradoxes. These are paradoxes only with reference to certain orthodox positions widely held in development economics. Resolving these paradoxes helps formulate a more incisive understanding of what bottlenecks lie in the way of eliminating poverty in Bihar and opens the way for working out solutions to the problem. 

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