Telecommunications and Economic Activity: An Analysis of Granger Causality

The pervasive role of telecommunications in contemporary commerce is well documented, and has dramatically increased the demand for services. Across the world, countries are seeking to improve telecommunications infrastructure and benefit from anticipated increases in economic activity, and a causal relation between the two is often tacitly assumed. This paper analyzes aggregate data at the national level to see if there is any empirical evidence that supports this assumption. We apply the well established Granger test for causality using time series data for levels of telecommunications infrastructure and economic activity from thirty countries. We find that the evidence for causality from levels of telecommunications infrastructure to economic activity is stronger than that for causality in the opposite direction. Moreover, this pattern appears to hold for both industrialized and developing economies, even though the former has strong service sectors that are heavily dependent on telecommunications. These findings provide additional insights into the complex relationship between telecommunications and economic activity. Some potential policy implications are also discussed. Granger causality tests have not seen much application in the IS literature, and we mention some IS research issues that may benefit from such analysis.

[1]  C. Sims Money, Income, and Causality , 1972 .

[2]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[3]  D. Clark,et al.  Telecommunications and travel: Potential impact in rural areas , 1981 .

[4]  L. Taylor Telecommunications Demand: A Survey and Critique , 1981 .

[5]  David K. Guilkey,et al.  Small Sample Properties of Three Tests for Granger-Causal Ordering in a Bivariate Stochastic System , 1982 .

[6]  John Geweke,et al.  Inference and causality in economic time series models , 1984 .

[7]  JoAnne Yates,et al.  Electronic markets and electronic hierarchies , 1987, CACM.

[8]  Vijay Gurbaxani,et al.  The impact of information systems on organizations and markets , 1991, CACM.

[9]  P. Attewell Information technology and the productivity paradox , 1993 .

[10]  G. P. Zanias The long run, causality, and forecasting in the advertising-sales relationship , 1994 .

[11]  Ajit Kambil,et al.  Electronic Integration and Business Network Redesign: a Roles-Linkage Perspective , 1993, J. Manag. Inf. Syst..

[12]  B. Wellenius Implementing Reforms in the Telecommunications Sector: Lessons from Experience , 1994 .

[13]  Bari A. Harlam,et al.  Telecommunications and economic development: Econometric analysis of the US experience , 1994 .

[14]  Emmanuel U. Nnadozie,et al.  Causality tests of export-led growth: The case of Mexico , 1995 .

[15]  A. F. Darrat,et al.  Has futures trading activity caused stock price volatility , 1995 .

[16]  Larry Press,et al.  Resources for Networks in Less-Industrialized Nations , 1995, Computer.

[17]  A GRANGER CAUSALITY APPROACH TO INVESTIGATING THE IMPACT OF FISCAL POLICY ON THE U.S. ECONOMY: 1970.I — 1990.III , 1995 .

[18]  R. Wigand,et al.  Electronic Markets and Virtual Value Chains on the Information Superhighway , 1995 .

[19]  V Kapuria-foreman,et al.  Population and growth causality in developing countries. , 1995, Journal Of Developing Areas.

[20]  M. M. Rahman,et al.  Telecommunications and Economic Development , 1996 .

[21]  W. Duncan Reekie,et al.  A natural experiment of the effect of advertising on sales: the SASOL case , 1996 .

[22]  Massimo G. Colombo,et al.  Technological cooperative agreements and firm's R & D intensity. A note on causality relations , 1996 .

[23]  Sanjeev Dewan,et al.  Firm Characteristics and Investments in Information Technology: Scale and Scope Effects , 1998, Inf. Syst. Res..

[24]  M.J. Riezenman,et al.  Communications [Technology 1999 analysis and forecast] , 1999, IEEE Spectrum.

[25]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[26]  Richard Schmalensee,et al.  Advertising and aggregate consumption: an analysis of causality , 1980 .

[27]  Cristián Zegers Ariztía,et al.  Manual , 2002 .