ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

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NEP 2020 and the Language-in-Education Policy in India

The National Education Policy of India 2020 is a significant policy document laying the national-level strategy for the new millennium. It is ambitious and claims universal access to quality education as its key aim, keeping with the Sustainable Development Goal 4 of the United Nations Agenda 2030. One of the highlights of the NEP is its emphasis on mother tongue education at the primary levels in both state- and privately owned schools. The present paper critically assesses the NEP 2020, primarily in relation to the language-in-education policy. The paper argues that it presents a “contradiction of intentions,” aspiring towards inclusion of the historically disadvantaged and marginalised groups on the one hand, while practising a policy of aggressive privatisation and disinvestment in public education on the other.

Understanding the Skills and Livelihood Aspirations of the Working Homeless Men of Yamuna Pushta

Delhi’s homeless migrants work daily wage jobs that provide temporary housing on worksites, but they often endure abuse from their contractors and employers and receive low to no wages. The city’s approximately 200 shelters allot 18 square feet per resident, which is far below the National Urban Livelihoods Mission’s Scheme of Shelters for Urban Homeless guideline of 50 square feet per person. Labourers in Yamuna Pushta use congested shelters because the nearby jobs determine their survival. In this context, the homeless labourers’ working and shelter conditions, the skills they possess, and the barriers they face to decent working conditions are examined.

Global Unemployment and Inequality during 1991–2019

Based on secondary data, the paper discusses the changes in global unemployment and inequality between 1991 and 2019. The analysis reveals that the rate of unemployment and incidence of inequality have either increased or remained stubbornly high in almost all the countries under study...

Analysing Core Indicators of Decent Work for the Indian Fisheries Sector

The International Labour Organization included the concept of decent work in the Sustainable Development Goals to address concerns about workplace conditions, especially in developing countries. Among the different sectors of any developing economy, agriculture and allied activities have lagged the most in terms of decent work. This paper examines decent work in the fisheries sector in India. Using the National Sample Survey Office data from the Employment and Unemployment Survey of India, the paper arrives at a multidimensional decent work index. The paper finds that labourers belonging to the richer states rank lower in terms of decent work compared to the relatively poorer states, indicating higher inequality in the former regions. It also finds that per capita incomes are well below the poverty line for more than 40% of workers in fisheries.

National Lockdown and COVID-19 Containment in India

What impact the 2020 COVID-19 lockdown has had on the spread of the virus in Class 1 cities of India is discussed using an interrupted time series model. Four variants of the susceptible–infected–recovered models are used to develop a counterfactual, which are compared with actual data. The analysis reveals that the lockdown has reduced the number of COVID-19 cases by 23.65 million–33.77 million and averted approximately 0.001 million–0.010 million deaths. At the regional level, it has prevented a major health crisis as existing intensive care unit and ventilator facilities for critically ill patients would have been inadequate.

Reliability of PLFS 2019–20 Data

The April–June (2020) quarterly data for the urban sector showed a massive decline in the workforce participation rate and a huge increase in the unemployment rate. Still, the annual average work participation rate rose sharply in 2019–20 compared to the earlier two rounds of the Periodic Labour Force Survey estimates, and the average unemployment rate declined somewhat. Given these patterns, the Centre for Monitoring Indian Economy data set, despite its own problems, seems to be casting a more realistic picture.

District-level Estimates of Unemployment Rates in Odisha

This article describes the possibilities of using an alternative method, such as small area estimation, for generating district-level unemployment estimates with higher precision. The SAE method is applied to generate the unemployment rate of different districts of Odisha combining the Periodic Labour Force Survey 2018–19 data of the National Sample Survey Office and the auxiliary variables from other secondary data sources.

How Unstable Are the Sources of Livelihood?

This paper, based on the data from the annual Periodic Labour Force Survey, reflects on the lack of sustainable sources of livelihood and the phenomenon of multiple activities pursued simultaneously. A thorough analysis of the quarterly data suggests that in the rural areas, workers largely dependent on agriculture are compelled to shift to other activities in the off season. The nature of employment also varies, particularly in the urban areas. The occupational choice model estimated based on the quarterly data is indicative of changes in the marginal effect for workers of a given caste or an individual with a certain educational attainment. Certain social categories and workers with less educational attainments are more susceptible to changing probability of joining a particular activity and adopting multiple activities.

The Lost Decades

The government must reimagine the fundamentals of the economy in favour of equality.

Migrant Workers from West Bengal since 1991

The in and out balance of migration in West Bengal, for the first time, was recorded negative in the 2000s, and it is estimated to have gotten worse in the 2010s. Based on estimates, more people migrated out than entered the state in the 2010s compared to the 2000s. Though the crisis started towards the end of the left regime, it has worsened under the Trinamool Congress government. The article provides insights into labour migration, unemployment and economic growth during 1991–2018.

Worrisome Trends in Inflation and Unemployment

Both the problems will further hurt the disadvantaged groups and push more people into poverty.

The COVID-19 Pandemic and Livelihood Loss

Significant variations in the rise in the unemployment rate across regions after the nationwide lockdown was enforced without any discrimination are noted. The reasons for such disparities are explored and migration is noted as an important factor. States with higher rates of migration and urbanisation, greater dependency on casual wage employment and non-agricultural employment witnessed hunger and an adverse impact on livelihood.


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