Efficiency Analysis of Life Insurance Companies in Indonesia and Malaysia
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This study focuses on measuring the performance of life insurance companies in Indonesia and Malaysia. Input oriented Data Envelopment Analysis (DEA) uses panel data to extract the efficiency score of 5 life insurance companies from Indonesia and 5 life insurance companies from Malaysia for the year of 2015-2019. DEA-based Malmquist Total Factor Productivity (TFP) Index used to measure the efficiency change along the study period. This study utilizes asset and operating expenses as input variables, as for output variables, this study utilizes premium and investment income. Based on an efficiency score computed by DEA, most of the life insurance companies in both countries perform efficiently during the study period. However, life insurance companies in Indonesia still perform more efficiently than Malaysian life insurance companies. The results of the Malmquist TFP Index for life insurance companies in both countries show that there is 2.5% improvement in technical efficiency change, 1.5% deterioration in technology efficiency change, 0.6% improvement in pure efficiency change, 1.9% improvement on scale efficiency change, and 0.9% increase in TFP change. It shows that the main reason for TFP increased is due to improvement of technical efficiency change.
Ardianto MIR, Sukmaningrum PS (2020) Analisis Efisiensi Asuransi Jiwa Syariah Di Indonesia Dan Takaful Family Di Malaysia Dengan Metode Data Envelopment Analysis (Studi Kasus Pada Koperasi Jasa Keuangan Syariah Al Abrar). J Ekon Syariah Teor dan Terap. 7(2):319.
Athawale S, Fernandes P (2016) An Analysis of Efficiency Performance of Private life Insurance. 3(3):48–56.
Chakraborty K, Dutta A, Sengupta PP (2012) Efficiency and Productivity of Indian Life Insurance Industry. Asia-Pacific J Risk Insur. 7(1).
Coelli T (1996) A Guide to DEAP Version 2.1: A Data Envelopment Analysis, CEPA Work Pap 96/08 Abstr. 4(1):1–7.
Cummins JD, Weiss MA, Xie X, Zi H (2010) Economies of scope in financial services : A DEA efficiency analysis of the US insurance industry. J Bank Financ, 34(7):1525–39.
Duasa J, Rahim A, Rahman A (2006) Measuring Efficiency of Insurance and Takaful companies using DEA
Hu X, Zhang C, Hu JL, Zhu N (2009) Analyzing efficiency in the Chinese life insurance industry. Manag Res News. 32(10):905–20.
Jaloudi MM (2019) The efficiency of Jordan insurance companies and its determinants using DEA, slacks, and logit models. J Asian Bus Econ Stud. 26(1):153–66.
Ji Y, Lee C (2010) Data Envelopment Analysis. Stata J. (2):267–80.
Kasman A, Turgutlu E (2007) A Comparison of Chance-constrained DEA and Stochastic Frontier Analysis : An Application to the Turkish Life Insurance Industry. 90(0):0–8.
Leverty T, Lin Y, Zhou H (2004) Firm Performance in the Chinese Insurance Industry. Wharton Working Paper.
Mendes AB, Santos JMA, Da Silva (2013) Efficiency measures in the agricultural sector: With applications.
Naushad M, Faridi MR, Faisal S(2020) Measuring the managerial efficiency of insurance companies in Saudi Arabia: A data envelopment analysis approach. J Asian Financ Econ Bus. 7(6):297–304.
OECD (2019) Social Protection System Review of Indonesia, OECD Development Pathways, OECD, 1–165 p.
Saad NM, Idris NEH (2011) Efficiency of life insurance Companies in Malaysia and Brunei : A comparative analysis. Int J Humanit Soc Sci, 1(3):111–22.
Shahar S, Lau H, Puteh SEW, Amara S, Razak NA. (2019) Health, access and nutritional issues among low-income population in Malaysia: Introductory note. BMC Public Health. 19(Suppl 4):1–5.
Sinha RP (2015) A Dynamic DEA Model for Indian Life Insurance Companies. Glob Bus Rev, 16(2):258–69.
Surminski S (2014) The role of insurance in reducing direct risk-the case of flood insurance. Int Rev Environ Resour Econ. 7(3–4):241–78.
Viverita V (2019) Efficiency Analysis of Private Insurance Firms Before and After The Application of BPJS Regulations. 89(Apbec 2018):368–73.
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