scholarly journals Health Sector Efficiency Across Indian States Using Stochastic Frontier Analysis

2018 ◽  
Vol 6 (1) ◽  
pp. 15-19
Author(s):  
Khursheed Hussain Dar ◽  
Tariq Ahmad Bhat
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Health Sector ◽  
Indian States ◽  
Frontier Analysis

Why Tax Effort Falls Short of Tax Capacity in Indian States

2016 ◽  
Vol 45 (2) ◽  
pp. 232-259 ◽  
Author(s):  
Sandhya Garg ◽  
Ashima Goyal ◽  
Rupayan Pal
Keyword(s):  
Stochastic Frontier Analysis ◽  
Political Competition ◽  
Stochastic Frontier ◽  
Positive Association ◽  
Negative Association ◽  
Intergovernmental Transfers ◽  
Indian States ◽  
Frontier Analysis ◽  
Tax Effort ◽  
Tax Capacity

This article attempts to measure tax capacity and tax effort of fourteen major Indian states from 1991–1992 to 2010–2011 using stochastic frontier analysis. It shows that the variation across states in tax effort is wide and increasing over time. While per capita gross state domestic product, literacy rate, and labor force participation have positive association with tax capacity, a greater share of agriculture has negative association. Furthermore, intergovernmental transfers, given tax capacity, have negative association with tax effort of states. Expenditure on debt repayment is also adversely associated with tax effort but to a lower extent than outstanding liabilities. Enactment of Fiscal Responsibility and Budget Management Act is associated with improvement in states’ tax effort. Both within-state political competition and governance indicators have positive association on tax effort.

scholarly journals Efficiency of social sector expenditure in India: a case of health and education in selected Indian states

2014 ◽  
Vol 2 (1) ◽  
Author(s):  
Brijesh C. Purohit
Keyword(s):  
Health Care ◽  
Private Sector ◽  
Nutrition Education ◽  
State Government ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Social Sector ◽  
Indian States ◽  
Free Disposal Hull ◽  
Frontier Analysis

Social sector expenditure in India captures a number of important aspects including health, nutrition, education, water supply, sanitation, housing and welfare, among others. Over a period of time, besides budgetary outlay on this sector, private sector has also played a considerable role. Thus, efficiency of expenditure in this sector by state government has to be reckoned both in terms of relative levels of various aspects across the states and in terms of comparable benchmarks for different aspects of the sector. This paper attempts an analysis of social sector efficiency focusing on two major aspects: health and education. Unlike other studies on the Indian context, this analysis focusing on major states in India uses both non-parametric and parametric approaches. Although both approaches provide benchmarks to judge relative efficiency across states, the former provides a yardstick more at an aggregative level without parametric restrictions, whereas the latter is used for major focus on health care aspects. Results of free disposal hull analysis are suggestive of a considerably more scope for improvement in efficiency of public expenditure in health relative to education. Our results of stochastic frontier analysis indicate considerable state level disparities which could be reduced through a mix of strategies involving reallocation of factors (namely, manpower and supply of consumables) within the sector, mobilizing additional resources possibly through enhanced budgetary emphasis, or encouraging more private sector participation. Based on our results, this may enhance efficiency by nearly 20% in health care sector and increase availability and equity across low performing and poorer states like Madhya Pradesh and Uttar Pradesh.

scholarly journals Efficiency Across Hospitals in Bangladesh: Results from Stochastic Frontier Analysis

2021 ◽  
Vol 37 (2) ◽  
pp. 145-159
Author(s):  
Sharmeen Mobin Bhuiyan ◽  
Nasrin Sulatana
Keyword(s):  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Health Sector ◽  
Utilization Rate ◽  
Secondary Source ◽  
Efficient Production ◽  
Frontier Analysis ◽  
District Hospitals ◽  
Financing Gap ◽  
Low Efficiency

The health sector of Bangladesh achieved many of its goals. The sector, however, faces challenges. One major challenge is low efficiency. In a resourcepoor country, inefficiency leads to the waste of available resources widening the financing gap of the health sector. A technically efficient production unit produces a large amount of output with a given amount of inputs using a given state of technology. Technical efficiency of the district hospitals in Bangladesh is measured using the secondary source of data applying stochastic frontier analysis. Results show that the efficiency of some facilities is quite low and there is a mismatch of utilization rate and efficiency levels of the district hospitals. Measures like reducing absenteeism, increasing healthcare demand, and ensuring proper functioning of all inputs should be taken to enhance the efficiency and utilization of the district hospitals. Social Science Review, Vol. 37(2), Dec 2020 Page 145-159

Measuring Organizational Performance

2011 ◽  
pp. 687-706
Author(s):  
James F. Burgess ◽  
Andrew Street
Keyword(s):  
Health Care ◽  
Organizational Performance ◽  
Production Process ◽  
Stochastic Frontier Analysis ◽  
Health Care Organizations ◽  
Stochastic Frontier ◽  
Health Sector ◽  
Analytical Techniques ◽  
Frontier Analysis ◽  
Principal Agent Model

This article describes econometric approaches to comparing the efficiency of health care organizations. It deals with organizational performance measurement by first formulating a principal-agent model in which a regulator (principal) delegates responsibility to health care organizations (agents) to advance a subset of overall health sector objectives. Both effort and efficiency have to be estimated indirectly, after taking account of measurable phenomena, such as inputs, outputs, and constraints on the production process. This article considers four issues fundamental to the development of an efficiency model in an economic context, regarding appropriate unit of analysis, relevant system outputs, and constraints on the production process. This is followed by a review of the main analytical techniques used to assess efficiency, namely, stochastic frontier analysis and data envelopment analysis. Finally, it concludes that despite the challenges in measuring and comparing organizational performance, considerable analytical advances allow greater confidence to be placed in the results of analysis.

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