EVALUATION OF PRICE INNOVATION IMPACT ON TELECOMMUNICATION INDUSTRY IN CONGO BRAZZAVILLE BASED ON DEA MODEL
NGOMAH MADGIL DON STENAY JUNIOR *
Department of Sciences and Communication Skills, Marien Ngouabi University, Brazzaville, Congo.
ABDOULAYE COULIBALY
Department Statistics, School of Economics and Management, Beihang University, China.
NGOMAH LE TEMPS DECIDE AMOUR PRESTIGE
Department Statistics, School of Economics and Management, Beihang University, China.
OWASSA DZA REBECCA ANNISHA
University of Science and Technology, School of Environmental Engineering, Beijing Key Laboratory of Resource-oriented Treatment of Industrial pollutants, 100083 Beijing, Peoples Republic of China.
OKO PEA RODELVY BAUDREY
Southwestern University of Finance and Economics, School of Business Administration, China.
*Author to whom correspondence should be addressed.
Abstract
This analysis evaluated price innovation impact on the telecommunication industry using a non-parametric approach based on linear programming which is conducted to measure the relative efficiency of a set of similar Decision-Making Units (DMUs). The DEA model evaluated the efficiency of various prices for the different kinds of services. Each company was assigned a set of efficiency scores for the period 2009 to 2016. Thus the data for this study was collected through an individual’s company website and by visiting the company for the periods 2009-2016. The sample comprises four telecommunication companies in Congo. The analysis measured Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH) technical efficiency scores using the Efficiency Measurement System (EMS Version 1.3, 2000). Therefore the results showed two out of seven variables are found statistically significant at the significant level of 0.05. The negative coefficient of large indicates that a large firm is more likely efficient than a small firm. The results also show that government ownership-based firm is more likely to be efficient than domestic ownership-based firm.
Keywords: Performance, evaluation, telecom companies, DEA model