Online citations, reference lists, and bibliographies.
← Back to Search

Overall Summary, Hypotheses Test, And Policy Implications

Nabaz T. Khayyat
Published 2017 · Economics

Cite This
Download PDF
Analyze on Scholarcy
Share
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 paper references
The Internationalization and Performance of Korean and Japanese Firms: An Empirical Analysis Based on Micro-data
S. Ahn (2005)
10.7208/CHICAGO/9780226379005.003.0003
Exporting and Performance of Plants
Chin Hee Hahn (2005)
10.1046/J.0013-0133.2003.00166.X
Productivity, Output, and Failure: A Comparison of Taiwanese and Korean Manufacturers
Bee Yan Aw (2002)
10.1080/12265080801911907
Total Factor Productivity in Korean Manufacturing Industries
Inha Oh (2008)
10.1016/S0304-4076(96)01802-7
Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline
B. Baltagi (1997)
International Comparison of Total Factor Productivity in ICT Industries: A Stochastic Frontier Approach
정선영 (2011)
10.1111/J.1467-937X.2010.00612.X
Modelling income processes with lots of heterogeneity
M. Browning (2002)
10.1016/J.TECHFORE.2008.03.009
The changing pattern of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s?
M. Kim (2009)
10.1146/ANNUREV.EG.04.110179.002245
FRONTIERS IN ENERGY DEMAND MODELING
R. S. Hartman (1979)
ICT and Energy Use: Patterns of Substitutability and Complementarity in Production
Elena Ketteni (2013)
Structural Changes in Asia and Growth Prospects After the Crisis
Jean-Claude Berthélémy (2000)
10.1080/01621459.1999.10474156
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
M. Pesaran (1999)
10.1007/978-3-540-75892-1_16
To Pool or Not to Pool
B. Baltagi (2008)
10.1016/J.JPOLMOD.2004.08.012
Economies of scale, technological progress, and the sources of economic growth: case of Korea, 1969-2000
S. Y. Kwack (2005)
10.3386/w3041
Dynamic Factor Demand Models, Productivity Measurement, and Rates of Return: Theory and an Empirical Application to the U.S. Bell System
M. Nadiri (1989)
10.1111/j.1468-5876.2009.00470.x
Comparative Analysis of Plant Dynamics by Size: Korean Manufacturing
Inha Oh (2009)
10.1016/S1574-0684(05)01008-7
Chapter 8 Growth Econometrics
S. Durlauf (2005)
From Miracle to Maturity: The Growth of the Korean Economy
Barry J. Eichengreen (2012)
Econometric Analysis of Panel Data
B. Baltagi (1995)
10.4337/9781847208743.00012
Growth Accounting and Productivity Analysis by 33 Industrial Sectors in Korea (1984-2002)
H. K. Pyo (2006)
10.2139/ssrn.2154959
Evidence on the Impact of R&D and ICT Investment on Innovation and Productivity in Italian Firms
B. Hall (2012)
New Indexes of Coincident and Leading Economic Indicators
James H. Stock (1989)
10.1016/J.JAPWOR.2014.02.002
Total Factor Productivity of Korean Manufacturing Industries Comparison of Competing Models with Firm-Level Data
Dong-hyun Oh (2010)
10.1111/J.1467-8489.2004.00240.X
Productivity Improvement in Korean Rice Farming: Parametric and Non-Parametric Analysis
O. Kwon (2004)
10.1162/003465300559037
The Generalized Dynamic-Factor Model: Identification and Estimation
M. Forni (2000)
10.1016/S0304-3932(01)00065-4
Does productivity growth fall after the adoption of new technology
M. Huggett (2001)
10.1093/CESIFO/49.3.295
ICT and productivity in Europe and the United States. Where do the differences come from
Bart van Ark (2003)
10.1016/0304-4076(86)90033-3
A comparison of alternative methods for the estimation of dynamic factor demand models under non-static expectations☆
I. Prucha (1986)



Semantic Scholar Logo Some data provided by SemanticScholar