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Thailand in the Era of Digital Economy: How Does Digital Technology Promote Economic Growth?

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Predictive Econometrics and Big Data (TES 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 753))

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Abstract

As Thailand has undergone the reformation in both social and economic dimensions due to the digital economy, technologies are now becoming the new driving forces of economic growth. Therefore, an attempt of this study is to provide an empirical evidence on this issue, examining how increases in digital technologies impact the Thai economy. This study employs the stochastic frontier model estimated by entropy approach to model the production function. Because of a specific capability of this model, we are also able to find out how efficiently those technologies are utilized. The estimated results show that technologies can contribute positively to the Thai economy although the magnitudes are small. Moreover, our finding emphasizes that the digital technologies are not being used at the maximum capability, therefore, there is still a room for improvement in Thailand.

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References

  1. Aigner, D.J., Lovell, C.A.K., Schmidt, P.J.: Formulation and estimation of stochastic frontier production function models. J. Econ. 6, 21–37 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  2. Battese, G.E., Coelli, T.J.: Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. In: Gulledge, T.R., Lovell, C.A.K. (eds.) International Applications of Productivity and Efficiency Analysis, pp. 149–165. Springer, Dordrecht (1992)

    Chapter  Google Scholar 

  3. Meeusen, W., van Den Broeck, J.: Efficiency estimation from Cobb-Douglas production functions with composed error. Int. Econ. Rev. 18, 435–444 (1977)

    Article  MATH  Google Scholar 

  4. Efron, B.: Bootstrap methods: another look at the jackknife. Ann. Stat. 7, 1–26 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  5. Tonini, A., Pede, V.: A generalized maximum entropy stochastic frontier measuring productivity accounting for spatial dependency. Entropy 13(11), 1916–1927 (2011)

    Article  Google Scholar 

  6. Shannon, C.E.: A mathematical theory of communication. ACM SIGMOBILE Mob. Comput. Commun. Rev. 5(1), 3–55 (2001)

    Article  MathSciNet  Google Scholar 

  7. Mittelhammer, R.C., Judge, G.G., Miller, D.J.: Econometric Foundations Pack with CD-ROM, vol. 1. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  8. Wu, X.: A weighted generalized maximum entropy estimator with a data-driven weight. Entropy 11(4), 917–930 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  9. Golan, A.: Information and entropy econometrics-editor’s view. J. Econ. 107(1), 1–15 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  10. Powell, W.W., Snellman, K.: The knowledge economy. Annu. Rev. Sociol. 30, 199–220 (2004)

    Article  Google Scholar 

  11. Qu, J., Simes, R., O’Mahony, J.: How do digital technologies drive economic growth? Econ. Record 93(S1), 57–69 (2016)

    Google Scholar 

  12. Gordon, R.J.: Secular stagnation on the supply side: US producivity growth in the long run. Commun. Strateg. 1(100), 19–45 (2015)

    Google Scholar 

  13. Audretsch, D.B., Welfens, P.J.: The New Economy and Economic Growth in Europe and the US. Springer Science & Business Media, Heidelberg (2013)

    Google Scholar 

  14. Campbell, R., Rogers, K., Rezek, J.: Efficient frontier estimation: a maximum entropy approach. J. Prod. Anal. 30(3), 213–221 (2008)

    Article  Google Scholar 

  15. Macedo, P., Silva, E.: A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator. Econ. Bull. 1, 587–596 (2010)

    Google Scholar 

  16. United States. Central Intelligence Agency, Government Publications Office (eds.): The World Factbook 2014–15. Government Printing Office (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. International College, Chiang Mai University, Chiang Mai, Thailand

    Noppasit Chakpitak

  2. Center of Excellence in Econometrics, Chiang Mai University, Chiang Mai, 52000, Thailand

    Paravee Maneejuk, Somsak Chanaim & Songsak Sriboonchitta

  3. Faculty of Economics, Chiang Mai University, Chiang Mai, 52000, Thailand

    Paravee Maneejuk, Somsak Chanaim & Songsak Sriboonchitta

Authors
  1. Noppasit Chakpitak
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  2. Paravee Maneejuk
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  3. Somsak Chanaim
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  4. Songsak Sriboonchitta
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Corresponding author

Correspondence to Paravee Maneejuk .

Editor information

Editors and Affiliations

  1. Computer Science Department, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  2. International College, Chiang Mai University, Chiang Mai, Thailand

    Songsak Sriboonchitta

  3. International College, Chiang Mai University, Chiang Mai, Thailand

    Nopasit Chakpitak

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Chakpitak, N., Maneejuk, P., Chanaim, S., Sriboonchitta, S. (2018). Thailand in the Era of Digital Economy: How Does Digital Technology Promote Economic Growth?. In: Kreinovich, V., Sriboonchitta, S., Chakpitak, N. (eds) Predictive Econometrics and Big Data. TES 2018. Studies in Computational Intelligence, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-70942-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-70942-0_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70941-3

  • Online ISBN: 978-3-319-70942-0

  • eBook Packages: EngineeringEngineering (R0)

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