Skip to main content
SpringerLink
Log in

Overall Summary, Hypotheses Test, and Policy Implications

  • Chapter
  • First Online:
Book cover ICT Investment for Energy Use in the Industrial Sectors

Part of the book series: Lecture Notes in Energy ((LNEN,volume 59))

  • 253 Accesses

Abstract

The analysis presented in Chaps. 6 and 7 provide an appealing perspective of the relationships between the energy demand and other input factors of production, especially the ICT capital investment, as well as between the energy demand and some industries’ characteristics. It also provides a general comparison between these relationships through analyzing the productivity growth of the South Korean industrial sectors. This chapter will provide insights into the implications of all the factors affecting these relationships. It also provides an in-depth discussion of the results, along with a discussion of the limitations of this study and suggestions for future research. Recommendations for decision makers will be made, along with their support and justification that have emerged based on the findings.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The detailed national energy plan can be found at the Korean Energy Economics Institute website:

    “http://www.keei.re.kr/main.nsf/index_en.html?open&p=%2Fweb_keei%2Fen_Issues01.nsf%2Fview04%2FA7C6A48CA75D4CAE49256E2900483FAD&s=%3FOpenDocument”.

Bibliography

  • Ahn, S., Fukao, K., & Kwon, H. U. (2004). The internationalization and performance of Korean and Japanese firms: An empirical analysis based on micro data. Seoul Journal of Economics, 17(4), 439–482.

    Google Scholar 

  • Aw, B. Y., Chung, S., & Roberts, M. J. (2003). Productivity, output, and failure: A comparison of Taiwanese and Korean manufacturers*. The Economic Journal, 113(491), F485–F510. doi:10.1046/j.0013-0133.2003.00166.x

  • Baltagi, B. H. (2008). Econometric analysis of panel data (5th ed.). Chichester: Wiley.

    MATH  Google Scholar 

  • Baltagi, B. H., Bresson, G., & Pirotte, A. (2008). To pool or not to pool? In L. Mátyás & P. Sevestre (Eds.), The econometrics of panel data: Fundamentals and recent developments in theory and practice. Berlin, Germany: Springer.

    Google Scholar 

  • Baltagi, B. H., & Griffin, J. M. (1997). Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline. Journal of Econometrics, 77(2), 303–327. doi:http://dx.doi.org/10.1016/S0304-4076(96)01802-7

  • BerthĂ©lemy, J. C., & Chauvin, S. (2000). Structural changes in Asia and growth prospects after the crisis. Paris, France: CEPII, Centre d’Etudes Prospectives et d’Informations Internationales.

    Google Scholar 

  • Browning, M., Ejrnæs, M., & Alvarez, J. (2010). Modelling income processes with lots of heterogeneity. The Review of Economic Studies, 77(4), 1353–1381. doi:10.1111/j.1467-937X.2010.00612.x

  • Durlauf, S. N., Johnson, P. A., & Temple, J. R. W. (2005). Growth econometrics. In P. Aghion & S. N. Durlauf (Eds.), Handbook of economic growth (pp. 555–677). Elsevier.

    Google Scholar 

  • Eichengreen, B., Dwight, H. P., & Kwanho, S. (2012). From miracle to maturity: The growth of the Korean economy. Harvard University Asia Center.

    Google Scholar 

  • Forni, M., Hallin, M., Lippi, M., & Reichlin, L. (2000). The generalized dynamic-factor model: Identification and estimation. Review of Economics and Statistics, 82(4), 540–554. doi:10.1162/003465300559037

  • Greene, W. H. (2008). Econometric analysis (7th ed.). Prentice Hall.

    Google Scholar 

  • Hahn, C. H. (2005). Exporting and performance of plants: Evidence on Korea in international trade in East Asia (NBER Working Paper 10208). Accessed May 12.

    Google Scholar 

  • Hall, B. H., Lotti, F., & Mairesse, J. (2013). Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms. Economics of Innovation and New Technology, 22(3), 300–328. doi:10.1080/10438599.2012.708134

  • Hartman, R. S. (1979). Frontiers in energy demand modeling. Annual Review of Energy, 4(1), 433–466. doi:10.1146/annurev.eg.04.110179.002245

  • Hsiao, C., Pesaran, H. M., & Tahmiscioglu, A. K. (1999). Bayes estimation of shortrun coefficients in dynamic panel data models. In C. Hsiao, K. Lahiri, L.-F. Lee, & H. M. Pesaran (Eds.), Analysis of panels and limited dependent variable models. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Huggett, M., & Ospina, S. (2001). Does productivity growth fall after the adoption of new technology? Journal of Monetary Economics, 48(1), 173–195. doi:10.1016/s0304-3932(01)00065-4

  • IEA. (2012). Energy policies of IEA countries: The Republic of Korea-2012 review. International Energy Association IEA. International Energy Association IEA, Last Modified January 3, 2014 Accessed January 21. http://www.iea.org/publications/freepublications/

  • Jung, S. (2011). International comparison of total factor productivity in ICT industries: A stochastic frontier approach. Korean Economic Review, 59(1), 25–53.

    Google Scholar 

  • Ketteni, E., Mamuneas, T., & Pashardes, P. (2013). ICT and energy use: Patterns of substitutability and complementarity in production. Cyprus Economic Policy Review, 7(1), 63–86.

    Google Scholar 

  • Khayyat, N. T. (2013). Exploring demand for energy in the South Korean industries. Doctoral dissertation, Economics, SMC University.

    Google Scholar 

  • Kim, M. S., & Park, Y. (2009). The changing pattern of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s? Technological Forecasting and Social Change, 76(5), 688–699. doi:http://dx.doi.org/10.1016/j.techfore.2008.03.009

  • Kwack, S. Y., & Sun, L. Y. (2005). Economies of scale, technological progress, and the sources of economic growth: Case of Korea, 1969–2000. Journal of Policy Modeling, 27(3), 265–283. doi:http://dx.doi.org/10.1016/j.jpolmod.2004.08.012

  • Kwon, O. S., & Lee, H. (2004). Productivity improvement in Korean rice farming: Parametric and non-parametric analysis†. Australian Journal of Agricultural and Resource Economics, 48(2), 323–346. doi:10.1111/j.1467-8489.2004.00240.x

  • Nadiri, M. I., & Prucha, I. R. (1986). A comparison of alternative methods for the estimation of dynamic factor demand models under non-static expectations. Journal of Econometrics, 33(1), 187–211.

    Google Scholar 

  • Nadiri, M. I., & Prucha, I. R. (1990). Dynamic factor demand models, productivity measurement, and rates of return: Theory and an empirical application to the US bell system. Structural Change and Economic Dynamics, 1(2), 263–289.

    Article  Google Scholar 

  • OECD. (2013). OECD Science, technology and industry scoreboard. OECD Publishing. Accessed December 12. http://dx.doi.org/10.1787/sti_scoreboard-2013-en

  • Oh, D., Heshmati, A., & Lööf, H. (2014). Total factor productivity of Korean manufacturing industries: Comparison of competing models with firm-level data. Japan and the World Economy, 30, 25–36. doi:http://dx.doi.org/10.1016/j.japwor.2014.02.002

  • Oh, I., Heshmati, A., Baek, C., & Lee J.-D. (2009). Comparative analysis of plant dynamics by size: Korean manufacturing. Japanese Economic Review, 60(4), 512–538. doi:10.1111/j.1468-5876.2009.00470.x

  • Oh, I., Lee, J.-D., & Heshmati, A. (2008). Total factor productivity in Korean manufacturing industries. Global Economic Review, 37(1), 23–50. doi:10.1080/12265080801911907

  • Park, P. H. (2000). A reflection on the East Asian development model: Comparison of the South Korean and Taiwanese experiences. In F.-J. Richter (Ed.), Thailand, Japan, and the East Asian development model (pp. 141–168). London: Macmillan Press.

    Google Scholar 

  • Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. doi:10.1080/01621459.1999.10474156

  • Polder, M., Van Leeuwen, G., Mohnen, P., & Raymond, W. (2009). Productivity effects of innovation modes (MPRA Working Paper 18893). University Library of Munich, Germany. [Discussion Paper No. 09033] Accessed May 06. http://ideas.repec.org/p/pra/mprapa/18893.html

  • Pyo, H. K., Rhee, K. H., & Ha, B. C. (2007). Growth accounting and productivity analysis by 33 industrial sectors in Korea (1984–2002). In D. W. Jorgenson, M. Kuroda, & K. Motohashi (Eds.), Productivity in Asia: Economics growth and competitiveness. Bodmin, Cornwall, UK: MPG Books Ltd.

    Google Scholar 

  • Stock, J. H., & Watson, M. W. (1989). New indexes of coincident and leading economic indicators. In O. Blanchard & S. Fischer (Eds.), NBER macroeconomics annual (pp. 351–409). Cambridge, MA: MIT Press.

    Google Scholar 

  • van Ark, B., Inklaar, R., & McGuckin, R. H. (2003). ICT and productivity in Europe and the United States where do the differences come from? CESifo Economic Studies, 49(3), 295–318. doi:10.1093/cesifo/49.3.295

Download references

Author information

Authors and Affiliations

  1. SMC University, Zurich, Switzerland

    Nabaz T. Khayyat

  2. Seoul National University, Seoul, Korea (Republic of)

    Nabaz T. Khayyat

  3. Computer Science and Engineering Department, University of Kurdistan Halwer, Erbil, Iraq

    Nabaz T. Khayyat

  4. School of Business Management, University of Liverpool, Liverpool, UK

    Nabaz T. Khayyat

Authors
  1. Nabaz T. Khayyat
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nabaz T. Khayyat .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Khayyat, N.T. (2017). Overall Summary, Hypotheses Test, and Policy Implications. In: ICT Investment for Energy Use in the Industrial Sectors. Lecture Notes in Energy, vol 59. Springer, Singapore. https://doi.org/10.1007/978-981-10-4756-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4756-5_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4755-8

  • Online ISBN: 978-981-10-4756-5

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation