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Consumer Preferences for Digital Cable Broadcasting Service in Korea: A Choice Experiment Study

Asian Journal of Innovation and Policy / Asian Journal of Innovation and Policy, (P)2287-1608; (E)2287-1616
2016, v.5 no.2, pp.185-196
KU SE JU
Yoo, Seung-Hoon
Kwak, Seung-Jun
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Abstract

A digital cable broadcasting service is a multimedia broadcasting service that provides high definition and various supplementary services by using digital transmission. Korea implemented a complete digital broadcasting service by 2012. This study applied a choice experiment to investigate consumer preferences, and it calculated the marginal willingness to pay for this service. Moreover, we employed a multinomial probit model to relax the assumption that all respondents have the same preference for attributes being valued. The results suggest that respondents value channels, definition, video-on-demand (VOD) service, pay-per-view (PPV) service, and commerce based on TV (T-commerce). On the other hand, online gaming may be less important as an attribute for digital cable broadcasting service in Korea.

keywords
Digital cable broadcasting service, choice experiment, multinomial probit model, marginal willingness to pay

Reference

1.

Adamowicz, W., Louviere, J., and Williams, M. (1994), Combining revealed and stated preference methods for valuing environmental amenities, Journal of Environmental Economics and Management, 26, 271-292.

2.

Bhat, C. (1995), A heteroscedastic extreme value model of intercity travel mode choice, Transportation Research, 29B, 471-483.

3.

Choi, J.Y., Koh, D.Y., and Lee, J.S. (2008), Ex-ante simulation of mobile TV market based on Consumers' Preference Data, Technological Forecasting & Social Change, 75, 1043-1053.

4.

Geweke, J. (1989), Bayesian inference in econometric models using Monte Carlo integration, Econometrica, 57, 1317-1339.

5.

Grossman, H., Holling, H., Grassoff, U., and Schwabe, R. (2006), Optimal designs for asymmetric linear paired comparisons with a profile strength constraint, Metrika, 64, 109-119.

6.

Hajivassiliou, V., and Mcfadden, D. (1998), The method of simulated scores for the estimation LDV models, Econometrica, 66, 863-896.

7.

Hajivassiliou, V., McFadden, D., and Ruud, P. (1996), Simulation of multivariate normal rectangle probabilities and their derivative: theoretical and computational results, Journal of Econometrics, 72, 85-134.

8.

Joo, C.M. (2004), A study on the adoption factors of potential users of the digital TV, Broadcasting research, 59, 199-225.

9.

Kang, S.W., Cho, S.S., and Lie, H.Y. (2005), The economic value of next-generation converged communications and broadcasting services, ETRI Journal, 27(6), 759-767.

10.

Kanninen ,B. (2002), Optimal design for multinomial choice experiments, Journal of Marketing Research, 39, 214-227.

11.

Keane, M. (1994), A computationally practical simulation estimator for panel data, Econometrica, 62, 95-116.

12.

Koh, D.Y., Lee, J.S., and Kim, T.Y. (2006), Forecasting future broadcasting service market based on the consumer preferences for the attributes of new convergence broadcasting services, Journal of Technology Innovation, 14(1), 227-255 (in Korean). Korea Cable Television Broadcasting Commission, http://www.kcta.or.kr

13.

Krinsky, I., and Robb, A. (1986), On approximating the statistical properties of elasticities, Review of Economics and Statistics, 68, 715-719.

14.

Layton, D. (2000), Random coefficient models for stated preference surveys, Journal of Environmental Economics and Management, 40, 21-36.

15.

Street, D., and Burgess L. (2010), The Construction of Optimal Stated Choice Experiments: Theory and Applications, Hoboken NJ: Wiley.

16.

Maddala, G. (1983), Limited-Dependent and Qualitative variables in Econometrics, New York: Cambridge University Press.

17.

Train, K. (1986), Qualitative Choice Analysis: Theory, Econometrics and an Application to Automobile Demand, Cambridge, Massachusetts: The MIT Press.

Asian Journal of Innovation and Policy