Determinants of multidimensional poverty in Nigeria: A state level analysis

2022 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Mubaraq Sulaimon
Keyword(s):  
State Level ◽  
Multidimensional Poverty ◽  
Level Analysis

scholarly journals Measurement of Multidimensional Poverty in India: A State-level Analysis

2020 ◽  
Vol 14 (2) ◽  
pp. 257-274
Author(s):  
Sabyasachi Tripathi ◽  
Komali Yenneti
Keyword(s):  
Urban Poverty ◽  
Regional Analysis ◽  
Rural Poverty ◽  
State Level ◽  
Multidimensional Poverty ◽  
Standard Of Living ◽  
Sample Survey ◽  
Multidimensional Poverty Index ◽  
Head Count ◽  
Level Analysis

This article measures Multidimensional Poverty Index (MPI) in India using National Sample Survey (NSS) data on “Consumption Expenditure” for the period 2004–2005 and 2011–2012, adopting Alkire and Foster’s (2011, Journal of Public Economics, vol. 95, pp. 476–487) methodology. It considers three main indicators, namely standard of living, education and income at the level of households or persons. The results show that multidimensional poverty head count has declined from 62.2 per cent in 2004–2005 to 38.4 per cent in 2011–2012. However, separate rural and urban regional analysis clearly indicates a sharp decline in rural poverty compared to urban poverty reduction. Lack of education of the household members made the highest contribution to poverty, followed by income and standard of living in India. A state-level analysis shows that Jharkhand, Uttar Pradesh, Rajasthan, Orissa, Bihar, Chhattisgarh and Arunachal Pradesh have a higher poverty head count ratio, while Kerala, Mizoram, Nagaland, Punjab, Himachal Pradesh and Haryana have a lower poverty rate.

The Politics of Chiefs and Commoners before the 1830s

2020 ◽  
Author(s):  
Raevin Jimenez
Keyword(s):  
Nineteenth Century ◽  
South African ◽  
State Level ◽  
Temporal Context ◽  
Political Elites ◽  
African History ◽  
New Wave ◽  
Early Nineteenth Century ◽  
Late Eighteenth ◽  
Level Analysis

The field of pre-1830 South African history has been subject to periodic interrogations into conventional narratives, sources, and methods. The so-called mfecane debates of the 1980s and 1990s marked a radical departure from characterizations of warfare in the interior, generally regarded in earlier decades as stemming solely or mostly from the Zulu king Shaka. Efforts to reframe violence led to more thorough considerations of political elites and statecraft from the late eighteenth to the early nineteenth century but also contributed to new approaches to ethnicity, dependency, and to some extent gender. A new wave of historiographical critique in the 2010s shows the work of revision to be ongoing. The article considers the debates around the wars of the late precolonial period, including unresolved strands of inquiry, and argues for a move away from state-level analysis toward social histories of women and non-elites. Though it focuses on the 1760s through the 1830s, the article also presents examples highlighting the importance of recovering deeper temporal context for the South African interior.

Opportunities for forest sector emissions reductions: a state‐level analysis

2021 ◽  
Author(s):  
Alexa J. Dugan ◽  
Jeremy W. Lichstein ◽  
Al Steele ◽  
Juha M. Metsaranta ◽  
Steven Bick ◽  
...  
Keyword(s):  
State Level ◽  
Forest Sector ◽  
Emissions Reductions ◽  
Level Analysis

Gender Pay Gap in India: A Sectoral and Regional Analysis

2018 ◽  
Vol 7 (2) ◽  
pp. 1-5
Author(s):  
Hemlata Sharma
Keyword(s):  
Regional Analysis ◽  
State Level ◽  
Gender Pay Gap ◽  
Pay Gap ◽  
Rural Sector ◽  
Urban Sector ◽  
Private Households ◽  
Rural And Urban ◽  
Level Analysis

This paper attempts to measure Gender Pay Gap (GPG) in India using NSSO data for the year 2011-12. Our results show that Gender Pay Gap in India is higher in rural sector as compared to urban sector. In both rural and urban sector agriculture and private households with employed persons account for highest Gender Pay Gap. Our results also show that GPG is higher among illiterates and below matric literate employees. However, state level analysis of Gender Pay Gap shows that economically developed states have lower Gender Pay Gap and the poorer states have higher Gender Pay Gap in India.

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