The study evaluates the performance of the scheme—Rashtriya Swasthaya Bima Yojana—in different districts of Uttar Pradesh using Data Envelopment Analysis. Additionally, the slack-based forecasting was used to find out how much excess of amount of inputs they are consuming and how much they are lagging behind to use outputs. The study will be helpful for the policymakers (in this case Ministry of Labour and Employment and GIZ) to further improve the scheme. The study and the findings if adopted may help in improving the scheme and which will definitely help the masses, mainly Below Poverty Line (BPL) people for whom the scheme was framed.
CumminsD.TennysonS.WeissM.A. (1999). Consolidation and efficiency in the US life insurance industry. Journal of Banking & Finance, 23(2–4), 325–57.
7.
FanChiang KuChengWen Shu (2009). An efficiency comparison of direct and indirect channels in Taiwan insurance marketing. Direct marketing:An International Journal, 3(4), 343–59.
8.
ForgiaG.L.NagpalS. (2012). Government sponsored health insurance in India: Are you covered?
HamidS.A.JenniferRobertsPaulMosley (2010b). Can micro health insurance reduce poverty? Evidence from Bangladesh.
11.
HwangS.N.KaoT.L. (2006). Measuring managerial efficiency in non-life insurance companies: An application of two-stage data envelopment analysis technique. International Journal of Management, 23(3), 699–720.
Hyun H.Son (2008). Conditional cash transfer programs: An effective tool for poverty alleviation. Economics and Research Department Policy Brief Series No. 51, Asian Development Bank.
15.
JengV.LaiG.C.McNamaraM. J. (2007). Efficiency and demutualization: evidence from the US life insurance industry in the 1980s and 1990s. The Journal of Risk and Insurance, 74 (3), 683–711.
16.
KaoC.HwangS.N. (2008). Efficiency decomposition in two-stage data envelopment analysis: an application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–29.
17.
KwadjoAnsahCharlesAndohJoshuaAbor (2012). Evaluating the cost efficiency of insurance companies in Ghana. Journal of Risk Finance, 1(3), 61–76.
18.
MeimandM.CavanaR.Y.LakingR. (2002). Using DEA and survival analysis for measuring performance of branches in New Zealand accident compensation corporation. Journal of the Operational Research Society, 53(3), 303–13.
19.
Health Insurance for the Poor-India. Policy brief 12, inter-regional inequality facility sharing ideas and policies across Africa, Asia and Latin America. Available at http://www.odi.org.uk/resources/download/3127.pdf
20.
RaoAnanthHosseinKashaniAttieaMarrie (2010). Analysis of managerial efficiency in insurance sector in the UAE: An emerging economy. International Journal of Managerial Finance, 6(4), 329–43.
Health Insurance for India’s poor. (2011). Report by GIZ. A publication in the German health practice collection.
24.
25.
World Health Statistics (2010). by World Health Organization.
26.
XiaolingHuZhangCuizhenJin-LiHuZhuNong (2009). Analyzing efficiency in the Chinese life insurance industry. Management Research News, 32(10), 905–20.
27.
YaoS.JiangC.FengC.Willen bockelD. (2007). WTO challenges and efficiency of Chinese banks. Applied Economics, 39(5), 629–43.
28.
WuD.YangZ.VelaS.LiangL. (2007). Simultaneous analysis of production and investment performance of Canadian life and health insurance companies using data envelopment analysis. Computers & Operations Research, 34, 180–98.
