Oliver, Atara Stephanie (2013): Information Technology and Transportation: Substitutes or Complements?
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Abstract
The increased availability and prevalence of Information and Communications Technology (ICT) provides opportunities to use such products as substitutes for transportation. Common examples of this substitution are telecommuting, video conferences, and online classes. However, despite the intuitive appeal of a substitution relationship existing between ICT and transportation, prior research has indicated that the relationship between ICT and transportation is quite complex; at times ICT substitutes for travel and at other times ICT and travel complement each other. Therefore, using a Quadratic Almost Ideal Demand System (QUAIDS) model and data from the US Consumer Expenditure Survey and the Consumer Price Index, I analyzed the effect of ICT expenditures on transportation demand. The analysis indicates that ICT may serve as a substitute for air travel, but primarily serves as a complement for private transportation. Overall the data supports a complementary relationship between ICT and transportation, which indicates that an increase in technology may increase rather than decrease the negative externalities associated with transportation.
Item Type: | MPRA Paper |
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Original Title: | Information Technology and Transportation: Substitutes or Complements? |
Language: | English |
Keywords: | Transportation, Consumer Expenditures, Information Technology |
Subjects: | D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O33 - Technological Change: Choices and Consequences ; Diffusion Processes R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R22 - Other Demand R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise |
Item ID: | 46548 |
Depositing User: | Ms. Atara Stephanie Oliver |
Date Deposited: | 25 Apr 2013 16:58 |
Last Modified: | 29 Sep 2019 13:17 |
References: | Andreev, P., Salomon, I., Pliskin, N., 2010. Review: State of teleactivities. Transportation Research Part C: Emerging Technologies 18 (1), 3-20. Banister, D., Stead, D., 2004. Impact of information and communications technology on transport. Transport Reviews 24 (5), 611-632. Banks, J., Blundell, R., Lewbel, A., 1997. Quadratic engel curves and consumer demand. Review of Economics and Statistics 79 (4), 527-539. Barnett, WA; Yue, P., 1998. Nonparametric and robust inference. Advances in Econometrics 7, 229-252. Barnett, W. A., 1983. New indices of money supply and the Flexible laurent demand system. Journal of Business & Economic Statistics 1 (1), 7-23. Blundell, R., Pashardes, P., Weber, G., 1993. What do we learn about consumer demand patterns from micro data? The American Economic Review, 570-597. Choo, S., Lee, T., Mokhtarian, P. L., 2007. Relationships between us consumer expenditures on communications and transportation using almost ideal demand system modeling: 1984-2002. Transportation Planning and Technology 30 (5), 431-453. Christensen, L. R., Jorgenson, D. W., Lau, L. J., 1975. Transcendental logarithmic utility functions. The American Economic Review 65 (3), 367-383. Cooper, R. J., McLaren, K. R., 1996. A system of demand equations satisfying effectively global regularity conditions. The Review of Economics and Statistics, 359-364. Deakin, E., 2001. Sustainable development and sustainable transportation: strategies for economic prosperity, environmental quality, and equity. Deaton, A., Muellbauer, J., 1980. An almost ideal demand system. The American Economic Review 70 (3), 312-326. Dhar, T., Chavas, J.-P., Gould, B. W., 2003. An empirical assessment of endogeneity issues in demand analysis for differentiated products. American Journal of Agricultural Economics 85 (3), 605-617. Diewert, W. E., 1971. An application of the shephard duality theorem: a generalized leontief production function. The Journal of Political Economy, 481-507. Fan, S., Wailes, E. J., Cramer, G. L., 1995. Household demand in rural china: a two-stage les-aids model. American Journal of Agricultural Economics 77 (1),54-62. Fisher, D., Fleissig, A. R., Serletis, A., 2001. An empirical comparison of flexible demand system functional forms. Journal of Applied Econometrics 16 (1), 59-80. Gallant, A. R., 1981. On the bias in flexible functional forms and an essentially unbiased form: the fourier flexible form. Journal of Econometrics 15 (2), 211-245. Gorman, W. M., 1953. Community preference fields. Econometrica: Journal of the Econometric Society, 63-80. Jones, D. W., Leiby, P. N., Paik, I. K., 2004. Oil price shocks and the macroeconomy: what has been learned since 1996. The Energy Journal, 1-32. Mokhtarian, P. L., Salomon, I., Handy, S. L., 2006. The impacts of ict on leisure activities and travel: a conceptual exploration. Transportation 33 (3), 263-289. Muellbauer, J., 1976. Community preferences and the representative consumer. Econometrica: Journal of the Econometric Society, 979-999. Murray, A. G., 2012. Three essays examining household energy demand and behavior. Ph.D. thesis, Virginia Polytechnic Institute and State University. Poi, B. P., 2012. Easy demand-system estimation with quaids. Stata Journal 12 (3), 433-446. Ray, R., 1983. Measuring the costs of children: an alternative approach. Journal of Public Economics 22 (1), 89-102. Salomon, I., Mokhtarian, P., 2008. Can telecommunications help solve transportation problems? a decade later: Are the prospects any better. Handbook of Transport Modelling, 519-540. Schrank, D., Eisele, B., Lomax, T., 2012. TTI 2011 Urban Mobility Report. Smith, A., 2010a. Home broadband 2010. Pew Internet and American Life Project. Smith, A., 2010b. Mobile access 2010. Pew Internet and American Life Project. Taylor, L. D., 2010. Consumer demand in the United States: Prices, income,and consumption behavior. Springer New York. Wang, D., Law, F. Y. T., 2007. Impacts of information and communication technologies (ict) on time use and travel behavior: a structural equations analysis. Transportation 34 (4), 513-527 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/46548 |
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