District-Level Inequity in Selected Indian States
In this chapter, we focus on district-level data for five major Indian states which include poor and rich states across different geographical directions in India. The district-level data thus used include the states of Assam, Bihar, Orissa, Gujarat and T
- PDF / 788,792 Bytes
- 78 Pages / 439.37 x 666.142 pts Page_size
- 7 Downloads / 282 Views
District-Level Inequity in Selected Indian States
Abstract In this chapter, we focus on district-level data for five major Indian states which include poor and rich states across different geographical directions in India. The district-level data thus used include the states of Assam, Bihar, Orissa, Gujarat and Tamil Nadu. We discuss various aspects of health care namely medical facilities, medical manpower, utilization, efficiency and equity. We use different inequity coefficients including Gini coefficients, Theils T and L measures, concentration curve, concentration index and Erryger’s index.
In this chapter, we analyze inequity in health care and efficiency of outcomes for districts of five selected States. These include both rich and poorer states in India. Geographically, we have chosen one state each from north-east, east, west and south in India. Our focus is at district-level (or intra-state) units within the States of Assam (north eastern state), Bihar and Orissa (eastern states, latter a coastal eastern state), Gujarat (western state) and Tamil Nadu (southern state). Three of these states namely Assam, Bihar and Orissa are among the low-income states and Gujarat and Tamil Nadu fall among the richer states in India. We presume that inequity at district level also has an impact on the health system outcomes in a state. Thus using district-level data for these states we have analyzed both equity and efficiency outcomes in these states. We discuss inequity in terms of health facilities and manpower distribution across districts in each of these states. The analysis is based on data from different publications of respective states. We present different indicators of inequity which include mainly coefficient of variation, Gini coefficient and Theil Entropy measures. We also use concentration curve, concentration index and Erryger’s index.
© Springer Nature Singapore Pte Ltd. 2017 B.C. Purohit, Inequity in Indian Health Care, India Studies in Business and Economics, DOI 10.1007/978-981-10-5044-2_5
71
72
5.1 5.1.1
5 District-Level Inequity in Selected Indian States
Inequity and Efficiency in Healthcare Sector in Assam1 Introduction
Emphasis on efficiency in resource utilization in healthcare sector is now considered to be a trend in resource allocation across social sectors. This is witnessed in the literature by a number of studies which have laid emphasis on the overall health system performance and its impact on health outcomes.2 Some country specific studies, for instance, have concentrated on hospitals, nursing homes, HMOs and district health authorities.3 As methods both parametric and non-parametric techniques have been employed. Among the later methods, an idealized yardstick is developed which is used to evaluate economic performance of health system. More frequently, due to its normative approach, a frontier efficiency measurement technique is used. It provides a production possibility frontier depicting a locus of potentially technical efficient output combination that an organization or health system is
Data Loading...
