EFFICIENCY OF NON-LIFE INSURANCE IN INDONESIA
DOI:
https://doi.org/10.14414/jebav.v14i3.46Keywords:
Non Life Insurance, Data Envelopment Analysis, Technical EfficiencyAbstract
It is a fact that financial institutions among Asian countries, especially Indonesia, have beendominated by commercial banks. In addition, an insurance market share is only 10 percent ofthe financial market. Yet, the insurance industry is an important partner for the banking industry.This function is to guarantee the risk of banks in distributing credit and supportingthe national economy through the community's fund. This paper evaluates the relative efficiencyof 23 Non Life Insurance companies in Indonesia, using Data Envelopment Analysis(DEA) model. DEA is a management evaluation tool that assists in identifying the most efficientand inefficient decision-making units (DMUs) in the best practice frontier. Empiricalresults show that bigger insurance companies are found to be more efficient than smallerfirms. Moreover, companies with captive market and the company's group with non-captivemarket have relatively the same result. These findings are new empirical contributions toefficiency literature of the insurance industry. The paper also provides policy implicationsfor the Indonesian insurance sector.References
Abidin and Cabanda, 2006, Financial and
Production Performances of Domestic
and Foreign Banks in Indonesia: Pre
and Post Financial Crisis. Manajemen
Usahawan Indonesia, No.06, 3 - 9
Banker, R. D., Charnes, A., Cooper, W.W
, Some models for estimating
technical and scale inefficiencies in
data envelopment analysis. Management
Science 30,1078-1092.
Barr, Richard, K. Killgo, F. Siems and S.
Table 2
Linkage between Profitability Ratios and DEA Performance
Variables Dependent : DEA Coefficient P- value
Independent
C 0.5135 0.0000
ROA -0.0076 0.2506
ROE 0.0060 0.3051
NPM 0.0008(*) 0.0776
( ) Indicates p-value. *, ** significant at 0.10, 0.05 probability level, respectively.
Zimmel, 2002, Evaluating the Productive
Efficiency and Performance of
U.S. Commercial Banks. Managerial
Finance vol.28 no.8.
Berger, N. Allen and D.B Humphrey, 1992,
Measurement and Efficiency issue in
Commercial Banking. National bureau
of Economic Research, University of
Chicago Press.
Bos, Jaap W. and Kolari, James, 2005, Large
Bank Efficiency in Europe and the
United States: Are There Economics
Motivations for Geographic Expansion
in Financial Service?” The Journal of
Business; July;78,4 pg 1555.
Brockett, L Patrick, William W. Cooper,
Linda L.Golden, John J. Rousseau, and
Yuying Wang, 2005, Financial intermediary
versus production approach to
efficiency of marketing distribution
system and organizational structure of
insurance companies’. The journal of
risk and insurance, Vol 72. No. 3.
-412.
Coelli, Tim, 1996, A Guide to Frontier version
1: A computer program for Stochastic
Frontier Production and Cost
Function Estimation. Australia : CEPA
Working Paper.
Coelli, Tim, Rao, D.S and G. Battese, 1998,
An Introduction to Efficiency and Productivity
Analysis. United States of
America; Kluwer Academic Publisher.
Coelli, Tim and Rao, Prasada, 2003, Total
Factor Productivity in Agriculture: A
malmquist Index Analysis of 93 Countries,
– 2000. University of
Queensland, Australia. CEPA, Working
paper series No.02/2003.
Denizer, A. Cevdet and Dinc Mustafa, 2000,
Measuring Banking Efficiency in the
pre and Post Liberalization Environment:
Evidence from the Turkish
Banking System. George Washington
University.
Eling Martin and Michael Luhnen, 2008,
Frontier efficiency methodologies to
measure performance in the insurance
industry: overview and new empirical
evidence. Working papers on risk
management and insurance no 56.
University of St. Gallen.
Huang Li Ying, Tzy-yih Hsiao, and Gene c.
Lai, 2007, Does Corporate and Ownweship
Structure Influence Performance?
Evidence from Taiwan Life Insurance
Companies. Journal of Insurance
Issues. 30, 2, 123 – 151.
Hwang Shiuh-Nan and Tong-Liang Kao,
, Measuring Managerial Efficiency
in Non Life Insurance Companies
: An Aplication of Two Stage
Data Envelopment Analysis. International
Journal of Management Vol 23
No.3, 699 – 720.
Karim, Mohd Zaini Abd, 2001, Comparative
Bank Efficiency Across Select
ASEAN Countries. ASEAN Economic
Bulletin vol.18: 289.
Li, Shanling, S. Liu and G.A Whitmore,
, Comparative Performance of
Chinese Commercial Banks. China:
Review of Quantitative Finance and
Accounting, January.
Mahadevan, Renuka, 2003, To Measure or
Not To Measure Total Factor Productivity
Growth?. Oxford Development
Studies, vol.31, no.3.365 – 378.
Oral, M and R.Yolalan, 1990, “An Emperical
Study on Measurement Operating
Efficiency and Profitability of Bank
Branches”. European Journal of Operational
Research, 46, 282-94.
Vencappa Dev, Paul Fenn, and Stephen Diacon,
, Parametric Decomposition
of Total Factor Productivity Growth in
the European Insurance Industry: Evidence
from Life and Non-Life Companies.
Working Paper. Nottingham
University Business School. United
Kingdom.
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