-TheWire.in * India will lose 101 billion work-hours a year to the effects of global warming, according to a new study. * There is more scientific evidence to show how extreme weather, including rainfall, impacts economies worldwide. * Another study found economic growth decreases when the number of wet days and the number of days with extreme rainfall increase. Kochi: As the world becomes warmer, India will lose more than 101 billion hours of...
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1,750 Indians died due to extreme weather events in 2021, says new IMD report
In the month of January this year, more than 100 homeless persons died (please click here and here to access) in Delhi-NCR due to cold wave like conditions. Although a Delhi-based non-government organisation (NGO) Centre for Holistic Development (CHD) made that claim, and therefore asked the Chief Minister of Delhi to make proper arrangements for the homeless poor during winters, the officials of the Delhi Urban Shelter Improvement Board (DUSIB)...
More »In Glasgow, all eyes on 2030 -D Raghunandan
-The Hindu COP26 must focus sharply on reducing emissions till 2030, rather than on net zero 2050, which is too distant a goal The stage is set for the 26th UN Climate Change Conference of the Parties (COP26) in Glasgow, starting October 31. Major preparatory conferences and bilateral meetings have been held to persuade countries to raise their emission reduction commitments from the Nationally Determined Contributions (NDC) under the Paris Agreement. Some...
More »98% of the caste data is error-free: RGI told House panel in 2016 -Sobhana K Nair
-The Hindu Error is not in data but in government’s judgement: RJD MP Manoj K. Jha The Union government last week told the Supreme Court that the caste data enumerated in the Socio-Economic Caste Census (SECC) of 2011 was “unusable”, but in 2016, the Registrar-General and Census Commissioner of India had informed the Standing Committee on Rural Development that 98.87% of the data on individual caste and religion was “error free”. In its...
More »Latest available PLFS data sheds light on unpaid helpers in self-employment & underemployment among various types of workers
Generally, economists refer to indicators like Worker Population Ratio (WPR), Labour Force Participation Rate (LFPR) and Unemployment Rate (UR) in order to assess the extent of joblessness and work related precarity at a particular period of time in a certain geographical area. However, there are other indicators too, which can help in understanding the job situation, livelihoods security and vulnerability of workers in a better way such as 'percentage distribution...
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