Understanding the evolution of fiscal performance of Indian states

2021 ◽  
Author(s):  
Vaseem Akram ◽  
Badri Narayan Rath
Keyword(s):  
Indian States ◽  
Fiscal Performance

scholarly journals FISCAL PERFORMANCE BENCHMARKING OF INDIAN STATES-A ROBUST FRONTIER APPROACH

2017 ◽  
Vol 1 (4) ◽  
pp. 225
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Central Government ◽  
Parametric Methods ◽  
Indian States ◽  
Free Disposal Hull ◽  
Performance Benchmarking ◽  
Second Stage ◽  
Fiscal Performance ◽  
Free Disposal ◽  
Input And Output ◽  
Non Parametric

Aim: The objective of the paper is to construct an index of fiscal performance of Indian states using four non-parametric approaches ( Data Envelopment Analysis(DEA), Free Disposal Hull(FDH), Order-m and Order-alpha).The reason behind using non-parametric methods for the purpose of construction of index is that the traditional ratio approach is incapable of handling multiple input and output indicators.Research methods: The present study uses a two stage approach. In the first stage, four non-parametric methods have been used to evaluate the performance of Indian states for five consecutive years. The input and output indicators have been selected on the basis of a simple theoretical model. Further, in order to tackle the problem of estimation bias (due to sampling variations) bootstrapped DEA and bootstrapped Order-m methods have been applied. In the second stage ,impact of indebtedness on the performance of the states has been assessed using a censored regression framework.Findings: The major outcome of the study is the construction of a fiscal performance index based on multiple indicators. Moreover, the second stage results indicate that state performance is significantly influenced by their degree of indebtedness.Originality/Value of the article: The present study is perhaps the first attempt to assess the performance of sub-national units in terms of both convex and non-convex mathematical programming methods.Implications of the research : The approach (with suitable  modifications) can be effectively used to benchmark state performance which can serve as a basis for resource transfer from the central government to the 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.

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