Cabanda, Emilyn
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Performance Measurement Model for the Consumer Industry Listed on Indonesia Stock Exchange: DEA and SFA Approaches Prabowo, T. Handono Eko; Cabanda, Emilyn
Indonesian Capital Market Review Vol. 2, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research attempts to provide performance measurement model for the consumer industry listed on Indonesia Stock Exchange (IDX) by using the data envelopment analysis (DEA) and the stochastic frontier analysis (SFA). There were 36 panel irms analyzed over the period of 2000-2005 or 216 pooled observations. The output variable was total sales and input variables were labor, inventory, ixed assets and capital. Z-variables are age of the irm, size of the irm, market share and time period. Empirical indings reveal that the average technical eficiency (mean TE) for consumer industry was 0.6630. The study indicates the existence of output slacks (output deicits) and input slacks (input wastages) in the consumer industry's operation. The study also shows that the joint effect of four z-variables on the technical ineficiencies of the consumer industry was signiicant although the individual effects of one or more variables might not be statistically signiicant.
EFFICIENCY OF NON-LIFE INSURANCE IN INDONESIA Abidin, Zaenal; Cabanda, Emilyn
Journal of Economics, Business, and Accountancy Ventura Vol. 14 No. 3 (2011): December 2011
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v14i3.46

Abstract

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.