Finance and inequality: a study of Indian states

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

Changing Role of Agriculture in Income and Employment, and Trends of Agricultural Worker Productivity in Indian States

2020 ◽  
pp. 183-189
Keyword(s):  
Green Revolution ◽  
Positive Trend ◽  
Worker Productivity ◽  
Indian States ◽  
Agricultural Worker ◽  
The Sixties ◽  
High Level ◽  
The Cost ◽  
Changing Role

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.

Initial Remedial Action to Coronavirus in India: a Study

2020 ◽  
Vol 16 ◽  
Author(s):  
Pooja ◽  
Karan Veer
Keyword(s):  
Artificial Intelligence ◽  
Developing Country ◽  
Crucial Role ◽  
Essential Role ◽  
Remedial Action ◽  
Indian States

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.

scholarly journals Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shrabanti Maity ◽  
Nandini Ghosh ◽  
Ummey Rummana Barlaskar
Keyword(s):  
Disease Management ◽  
Recovery Rate ◽  
Tamil Nadu ◽  
Health Determinants ◽  
Stochastic Production Frontier ◽  
Exogenous Variables ◽  
Indian States ◽  
Secondary Sources ◽  
Comparative Efficiency ◽  
Long Run

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.

Molecular survey and phylogenetic analysis of tick-borne pathogens in ticks infesting cattle from two South Indian states

2021 ◽  
pp. 100595
Author(s):  
Paramanandham Krishnamoorthy ◽  
Subramanium Sudhagar ◽  
Akshata Lokanath Goudar ◽  
Siju Susan Jacob ◽  
Kuralayanapalya Puttahonappa Suresh
Keyword(s):  
Phylogenetic Analysis ◽  
Indian States ◽  
Molecular Survey ◽  
South Indian

Status of Agricultural Credit and Indebtedness in India: An Analysis

2021 ◽  
pp. 001946622110153
Author(s):  
Suresh Kumar Maurya ◽  
Neha Vishwakarma
Keyword(s):  
Andhra Pradesh ◽  
Uttar Pradesh ◽  
Medium Term ◽  
Agricultural Credit ◽  
Indian States ◽  
Agricultural Household ◽  
Agricultural Households ◽  
Size Groups ◽  
Jel Code ◽  
Land Size

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

scholarly journals Reviewing the Crop Residual Burning and Aerosol Variations during the COVID-19 Pandemic Hit Year 2020 over North India

Pollutants ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 127-140
Author(s):  
Manoj Hari ◽  
Rajesh Kumar Sahu ◽  
Bhishma Tyagi ◽  
Ravikant Kaushik
Keyword(s):  
Air Quality ◽  
Agricultural Waste ◽  
North India ◽  
National Capital Region ◽  
Industrial Emissions ◽  
Indian States ◽  
Back Trajectories ◽  
In Situ Data ◽  
National Capital ◽  
Waste Burning

The north Indian states of Haryana and Punjab are believed to be the key sources of air pollution in the National Capital Region due to massive agricultural waste burning in crop harvesting seasons. However, with the pandemic COVID-19 hitting the country, the usual practices were disrupted. COVID-19 preventive lockdown led to restricted vehicular and industrial emissions and caused the labours to leave the agricultural business in Haryana and Punjab. With the changed scenario of 2020, the present study investigates the variations in air quality over the Haryana and Punjab, and their relative impact on the air quality of Delhi. The work attempts to understand the change in agricultural waste burning during 2020 and its implication on the local air quality over both the states and the transported pollution on the national capital Delhi. The study utilises in-situ data for the year 2019–2020 with satellite observations of MODIS aqua/terra for fire counts, aerosol optical depth (AOD) and back-trajectories run by the hybrid single-particle Lagrangian integrated trajectory model (HYSPLIT).

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