Production of Tea in Assam and West Bengal:Technical Inefficiency Effects

Maity, Shrabanti; Neogi, Chiranjib

doi:10.21648/arthavij/2014/v56/i4/111175

Cited by 7 publications

(9 citation statements)

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“…Significantly, relative efficiency scores exhibited how efficiently the states were performing in combatting COVID-19 in comparison to the most efficient state. The analysis of the relative health sector efficiency in combatting COVID-19 of the states was performed by considering the overall mean efficiency score of 0.709 as the benchmark of efficiency [ 8 , 21 ]. It is worth noting that the corresponding value of S.D.…”

Section: Resultsmentioning

confidence: 99%

“…For example, West Bengal’s efficiency score was 0.932 higher than the overall mean efficiency score of 0.709. Thus, West Bengal was considered as a technically efficient state in combatting COVID-19 relative to other Indian states [ 8 , 21 ]. Applying this benchmark, 14 of 22 Indian states were identified to be performing amply in combatting COVID-19, meaning 64% of Indian states were performing satisfactorily to combat COVID-19.…”

Section: Resultsmentioning

confidence: 99%

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

2020

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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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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

2020

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“…It is noteworthy that the efficiency scores are a relative performance indicator and it is stating that how efficiently one state is performing in reducing the COVID-19 death rate relative to the most efficient state. The identification of the state as efficient or inefficient is facilitated by considering the overall mean efficiency score, 0.680 as the benchmark [ 21 ]. Accordingly, a state will be recognised as technically efficient iff its efficiency score exceeds the mean efficiency score and vice-versa.…”

Section: Resultsmentioning

confidence: 99%

“…Accordingly, a state will be recognised as technically efficient iff its efficiency score exceeds the mean efficiency score and vice-versa. For instance, the technical efficiency score for West Bengal is 0.933, higher than the overall mean efficiency score and thus the state is recognised as technically efficient in combating COVID-19 relative to the other state in the list [ 21 ]. Based on this benchmark thirteen out of twenty-two states are turned out technically efficient.…”

Section: Resultsmentioning

confidence: 99%

Women's political leadership and efficiency in reducing COVID-19 death rate: An application of technical inefficiency effects model across Indian states

Maity

Barlaskar

2022

Socio-Economic Planning Sciences

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Evidence from earlier studies on COVID-19 suggests that the countries led by female leaders were more successful in handling the COVID-19. India being a patrilocal society evident that women's political autonomy in the Gram Panchayat does miracles concerning development. With this backdrop, the present paper aims to explore the role of women's political participation and leadership on the efficiency in reducing the COVID-19 death rate for Indian states. This predominantly empirical paper is entirely based on secondary data compiled from different sources. The empirical analysis of the paper is facilitated by the utilization of the Technical Inefficiency Effects model within the framework of Stochastic Production Frontier. The empirical results accredit us to conclude that the efficiency of the Indian states in reducing the COVID-19 death rate is highly influenced by female political participation and leadership, digitalization, urbanization, and literacy rate. The study ends with suitable policy prescriptions.

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“…Thus, West Bengal was considered as a technically efficient state in combatting relative to other Indian states (Dutta and Neogi, 2013;Maity and Neogi, 2014). Applying this benchmark, 14 of 22Indian states were identified to be performing amply in combatting COVID-19, meaning 64% of Indian states were performing satisfactorily to combat COVID-19.…”

Section: Efficiency Analysis Of Different States In Indiamentioning

confidence: 99%

Interstate Disparities in the Performances in Combatting COVID-19 in India: Efficiency Estimates Across States

Maity

Ghosh

Barlaskar

2020

Preprint

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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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Production of Tea in Assam and West Bengal:Technical Inefficiency Effects

Cited by 7 publications

References 0 publications

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

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

Women's political leadership and efficiency in reducing COVID-19 death rate: An application of technical inefficiency effects model across Indian states

Interstate Disparities in the Performances in Combatting COVID-19 in India: Efficiency Estimates Across States

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