Acute poverty prevails in eight Indian states, a new ‘multidimensional’ measure of global poverty has said. The measure claims that the eight states put together account for more poor people than those present in the 26 poorest African nations combined. The new measure, called the multidimensional poverty Index (MPI), was developed and applied by the Oxford Poverty and Human Development Initiative (OPHI) with the United Nation Development Programme’s (UNDP) support. It...

Eight Indian states account for more poor people than in the 26 poorest African countries combined, a new measure of global poverty has found. The Indian states, including Bihar, Uttar Pradesh and West Bengal, have 421 million "poor" people, the study found. This is more than the 410 million poor in the poorest African countries, it said. The multidimensional poverty Index (MPI) measures a range of "deprivations" at household levels. Developed by Oxford Poverty...

In June 1991, the country embarked on a bold adventure by exposing to market vicissitudes its insulated manufactories, regulated (but pockmarked with soft spots) financial markets and inexperienced economic players. An economy, in those days, was about people, not giant factories and ships with riches. Though successive governments have secured the reformative underpinnings of the liberalisation process, it is to the credit of players in India that the sublime quest...

KEY TRENDS   • As per the 2019 Global Hunger Index report, neighbouring countries such as China (GHI score: 6.5; GHI rank: 25), Sri Lanka (GHI score: 17.1; GHI rank: 66), Myanmar (GHI score: 19.8; GHI rank: 69), Nepal (GHI score: 20.8; GHI rank: 73), Bangladesh (GHI score: 25.8; GHI rank: 88) and Pakistan (GHI score: 28.5; GHI rank: 94) have outperformed India (GHI score: 30.3; GHI rank: 102) *13    • As per the 2018 Global Hunger Index report,...

  KEY TRENDS   • The report entitled Pradhan Mantri Fasal Bima Yojana: An Assessment from the Centre for Science and Environment (released on 21 July, 2017) finds that PMBY is not beneficial for farmers in vulnerable regions. For farmers in vulnerable regions such as Bundelkhand and Marathwada, factors like low indemnity levels, low threshold yields, low sum insured and default on loans make PMFBY a poor scheme to safeguard against extreme weather events. CSE's...