Distributional dynamics of income in Indian states: Inequality, reallocation, and income transitions

2021 ◽  
Author(s):  
Anand Sahasranaman ◽  
Nishanth Kumar
2019 ◽  
Vol 20 (2) ◽  
pp. 184-204 ◽  
Author(s):  
Sulekha Hembram ◽  
Souparna Maji ◽  
Sushil Kr. Haldar

The objective of this study is to investigate the presence of ‘club convergence’ in respect of income among 15 major states in India during 1982–2014 using Markov chain along with stochastic kernel. The distributional dynamics observed among the major states support the process of ‘club convergence’. The empirical findings prove the hypotheses that economies that are similar in their structural characteristics and initial per capita income levels will converge with each other in per capita terms in the long run. The present study empirically re-establishes the hypotheses of ‘low-level equilibrium trap’ caused by low human capital investment. JEL: C14, H51, H52, O49, O53


The productivity of land has been often discussed and deliberated by the academia and policymakers to understand agriculture, however, very few studies have focused on the agriculture worker productivity to analyze this sector. This study concentrates on the productivity of agricultural workers from across the states taking two-time points into consideration. The agriculture worker productivity needs to be dealt with seriously and on a time series basis so that the marginal productivity of worker can be ascertained but also the dependency of worker on agriculture gets revealed. There is still disguised unemployment in all the states and high level of labour migration, yet most of the states showed the dependency has gone down. Although a state like Madhya Pradesh is doing very well in terms of income earned but that is at the cost of increased worker power in agriculture as a result of which, the productivity of worker has gone down. States like Mizoram, Meghalaya, Nagaland and Tripura, though small in size showed remarkable growth in productivity and all these states showed a positive trend in terms of worker shifting away from agriculture. The traditional states which gained the most from Green Revolution of the sixties are performing decently well, but they need to have the next major policy push so that they move to the next orbit of growth.


Author(s):  
Pooja ◽  
Karan Veer

Abstract:: Because of this pandemic COVID19 (now called SARS-CoV-2), few Indian states are now at the borderline to join the transmitting stage of the virus. The condition is troubling and new scientific, environmental and infrastructure needs to play a crucial role in removing this important problem globally (including India). It focused in this report on how India; a developing country is trying to stop corona spreading, and how artificial intelligence (AI) plays an essential role in controlling and monitoring the disease. The study also focuses on the topic and the challenges a developing country such as India faces.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shrabanti Maity ◽  
Nandini Ghosh ◽  
Ummey Rummana Barlaskar

Abstract Background Currently, the novel coronavirus or COVID-19 pandemic poses the greatest global health threat worldwide, and India is no exception. As an overpopulated developing country, it is very difficult to maintain social distancing to restrict the spread of the disease in India. Under these circumstances, it is necessary to examine India’s interstate performances to combat COVID-19. This study aims to explore twin objectives: to investigate the comparative efficiency of Indian states to combat COVID-19 and to unfold the factors responsible for interstate disparities in the efficiency in combatting COVID-19. Methods The stochastic production frontier model was utilized for data analysis. The empirical analysis was facilitated by the inefficiency effects model, revealing the factors that influence interstate variability in disease management efficiency. Three types of variables, namely, output, inputs, and exogenous, were used to measure health system efficiency. The relevant variables were compiled from secondary sources. The recovery rate from COVID-19 was the output variable and health infrastructures were considered as the input variable. On the contrary, the non-health determinants considered to have a strong influence on the efficiency of states’ disease management, but could not be considered as input variables, were recognised as exogenous variables. These exogenous variables were specifically used for the inefficiency analysis. Results The empirical results demonstrated the existence of disparities across Indian states in the level of efficiency in combatting COVID-19. A non-trivial outcome of this study was that Tamil Nadu was the best performer and Manipur was the worst performer of the investigated states. Variables such as elderly people, sex ratio, literacy rate, population density, influenced the efficiency of states, and thus, affected the recovery rate. Conclusion This study argues for the efficient utilisation of the existing health infrastructures in India. Simultaneously, the study suggests improving the health infrastructure to achieve a long-run benefit.


Author(s):  
Paramanandham Krishnamoorthy ◽  
Subramanium Sudhagar ◽  
Akshata Lokanath Goudar ◽  
Siju Susan Jacob ◽  
Kuralayanapalya Puttahonappa Suresh

2021 ◽  
pp. 001946622110153
Author(s):  
Suresh Kumar Maurya ◽  
Neha Vishwakarma

This article attempts to analyse status of agricultural credit and indebtedness in India. The objectives of the study are as follows: (a) to study a comparison of flow of total institutional agricultural credit among different land size groups at all India level; (b) to study a comparison of indebtedness of agricultural households between different size classes of land possessed at both states and all India level and (c) to analyse incidence of indebtedness in major Indian states. It is concluded that mostly, short- and medium-term loans of agricultural purposes are taken for marginal land size groups in India. The percentage of indebted agricultural households to total agricultural household increases as land size increases. The percentage of holdings is less than percentage of indebted agricultural households in Punjab, Uttar Pradesh, Andhra Pradesh, West Bengal, Karnataka, Odisha and Rajasthan. JEL Code: Q14


2011 ◽  
Vol 44 (34) ◽  
pp. 4527-4538 ◽  
Author(s):  
Rashmi Umesh Arora
Keyword(s):  

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