TY - JOUR T1 - An Empirical Investigation in Turkish Mobile Network Market TT - An Empirical Investigation in Turkish Mobile Network Market AU - Kaya, Havvanur Feyza AU - Kaynak, Selahattin PY - 2024 DA - March Y2 - 2024 DO - 10.53487/atasobed.1454526 JF - Current Perspectives in Social Sciences PB - Ataturk University WT - DergiPark SN - 2822-3160 SP - 23 EP - 31 VL - 28 IS - 1 LA - en AB - The purpose of this study is to investigate the impacts of total subscribers, net investment, mobile data traffic, and mobile number portability on the net sales revenues. In this study, the effects of total subscribers, net investment, mobile data traffic, and mobile number portability on the net sales revenues are tested by using Generalized Method of Moments. The data cover the period of 2010:01-2019:03 (quarterly) for Turkish mobile network market. The Turkish mobile network market is dominated by the three major firms Turkcell, Vodafone, and Avea. According to findings of this study, the most efficient variable that affects net sales revenues is the total mobile data traffic in Turkcell. However, the most efficient variable that affects net sales revenues is the number of total subscribers in Vodafone and Avea. While the number of total subscribers does not have a statistically significant effect on net sales revenues in Turkcell, does significant effect on net sales revenues in Vodafone and Avea. Also, total mobile data traffic does not have effect on the net sales revenues in Avea, but others. KW - Mobile market KW - net sales revenues KW - GMM N2 - The purpose of this study is to investigate the impacts of total subscribers, net investment, mobile data traffic, and mobile number portability on the net sales revenues. In this study, the effects of total subscribers, net investment, mobile data traffic, and mobile number portability on the net sales revenues are tested by using Generalized Method of Moments. The data cover the period of 2010:01-2019:03 (quarterly) for Turkish mobile network market. The Turkish mobile network market is dominated by the three major firms Turkcell, Vodafone, and Avea. According to findings of this study, the most efficient variable that affects net sales revenues is the total mobile data traffic in Turkcell. However, the most efficient variable that affects net sales revenues is the number of total subscribers in Vodafone and Avea. While the number of total subscribers does not have a statistically significant effect on net sales revenues in Turkcell, does significant effect on net sales revenues in Vodafone and Avea. Also, total mobile data traffic does not have effect on the net sales revenues in Avea, but others. CR - Atiyas, I., & Doǧan, P. (2007). When good intentions are not enough: Sequential entry and competition in the Turkish mobile industry. Telecommunications Policy, 31(8–9), 502–523. CR - Breitung, J., 2002. Nonparametric tests for unit roots and cointegration. Journal of Econometrics 108, 343–363. CR - Brock, G. J., & Sutherland, E. (2000). Telecommunications and Economic Growth in the Former USSR. East European Quarterly, 34(3). CR - Cronin, F. J., Colleran, E. K., Herbert, P. L., & Lewitzky, S. (1993). Telecommunications and Growth: The Contribution of Telecommunications Infrastructure Investment to Aggregate and Sectoral Productivity. Telecommunications Policy, 17(9), 677-690. CR - Cronin, F. J., Parker, E. B., Colleran, E. K., & Gold, M. A. (1991). Telecommunications Infrastructure and Economic Growth: An Analysis of Causality. Telecommunications Policy, 15(6), 529-535. Durukan, T., & Hamurcu, Ç. (2009). Mobil İletişimde Pazar Yoğunlaşması. Journal of Black Sea Studies, 6(22). CR - Gan, P., & Yu, H. (2009). Optimal Islamic monetary policy rule for Malaysia: the Svensson’s Approach. International Research Journal of Finance and Economics. 30(30), 165-176. CR - Güvel, E. A., & Aytun, C. (2013). Telekomünikasyon Altyapisi ve Ekonomik Büyüme: Farkli Gelir Gruplari Üzerine Bir Uygulama*/Telecommunications Infrastructure and Economic Growth: An Application for Different Income Groups. Business and Economics Research Journal, 4(3), 1-20 CR - Hansen, L.P., (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50,1029 – 1054. CR - Hansen, B. E., & West, K. D. (2002). Generalized Method of Moments and Macroeconomics. Journal of Business & Economic Statistics, 20(4), 460-469. UR - https://doi.org/10.53487/atasobed.1454526 L1 - https://dergipark.org.tr/en/download/article-file/3802146 ER -