Globalization in Reverse: The Missing Link in Energy Consumption

Authors

  • Tarana Azimova

Keywords:

energy consumption, panel data analysis, globalization, renewable technologies

Abstract

We present a theoretical framework that demonstrates the globalization as a beneficial trend which fosters the movement of advanced technology from developed nations to developing countries leading to the deployment of large scale energy projects on renewable technologies. We explore the implications of this framework with panel data and vector autoregressive (VAR) analyses. These suggest that an increase in social globalization which accounts for the spread of know-how, skilled workers and technology by 1 percent reduces the energy consumption by roughly 21 percent. This lead to increasing the employment of clean and renewable energy sources through the attainment of technological efficiency. However, substantial increase in traditional energy demand from developing countries suggests the trend of anti-globalization.

How to Cite

Globalization in Reverse: The Missing Link in Energy Consumption. (2019). Global Journal of Human-Social Science, 19(E3), 1-9. https://socialscienceresearch.org/index.php/GJHSS/article/view/2818

References

A Dreher (2006) Does globalization affect growth? Evidence from a new index of globalization. 38(10), 1091-1110.

A Dreher, N Gaston, P Martens (2008) Measuring globalisation: Gauging its consequences.

Khalid Ahmed, Mita Bhattacharya, Ahmer Qazi, Wei Long (2015) Energy consumption in China and underlying factors in a changing landscape: Empirical evidence since the reform period. 58, 224-234.

J Kraft, A Kraft (1978) On the Relationship between Energy and GNP. 3, 401-403.

M Al-Iriani (2006) Energy-GDP relationship revisited: an example from GCC countries using panel causality. 34(17), 3342-3350.

Ilhan Ozturk, Muhittin Kaplan, Huseyin Kalyoncu (2013) The Causal Relationship between Energy Consumption and GDP in Turkey. 24(5), 727-734.

David Stern (1993) Energy and economic growth in the USA. 15(2), 137-150.

Chien-Chiang Lee (2005) Energy consumption and GDP in developing countries: A cointegrated panel analysis. 27(3), 415-427.

Nicholas Apergis, James Payne (2009) CO2 emissions, energy usage, and output in Central America. 37(8), 3282-3286.

J Asafu-Adjaye (2000) The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries. 22(6), 615-625.

Chien-Chiang Lee, Chun-Ping Chang (2008) Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data. 30(1), 50-65.

Renuka Mahadevan, John Asafu-Adjaye (2007) Energy consumption, economic growth and prices: A reassessment using panel VECM for developed and developing countries. 35(4), 2481-2490.

Eden Yu, Been-Kwei Hwang (1985) The relationship between energy and GNP. 6(3), 186-190.

B Cheng (1995) An investigation of cointegration and causality between energy consumption and economic growth. 21(1).

Ugur Soytas, Ramazan Sari, Bradley Ewing (2009) Energy consumption, income, and carbon emissions in the United States. 62(3-4), 482-489.

Yong Glasure (2002) Energy and national income in Korea: further evidence on the role of omitted variables. 24(4), 355-365.

Scu-Chen Chang (2014) Effects of financial developments and income on energy consumption. 35, 28-44.

A Zobaa, W Lee (2006) The globalization of energy markets in Asia. 6.

M Harris (2001) Privatization and the globalization of energy markets.

J Stiglitz (2004) Capital-market Liberalization, Globalization, and the IMF. 20(1), 57-71.

D Guthrie, D Guthrie (2012) China and globalization: the social, economic and political transformation of Chinese society.

A Levine, C Lin, C Chu (2002) Unit root tests in panel data: asymptotic and finite sample properties. 46(1), 31-77.

K Im, M Pesaran, Y Shin (1997) Testing for unit roots in heterogeneous panels.

Kaddour Hadri (2000) Testing for stationarity in heterogeneous panel data. 3(2), 148-161.

B Muthén (2000) Methodological Issues in Random Coefficient Growth Modeling Using a Latent Variable Framework: Applications to the Development of Heavy Drinking in Ages 18 through 37. 127-154.

J Hox (2002) Multilevel Analysis. Techniques and applications.

Nan Laird, James Ware (1982) Random-Effects Models for Longitudinal Data. 38(4), 963.

H Levene (1960) Robust Tests for Equality of Variances. 278-292.

A Bhargava, L Franzini, W Narendranathan (1982) Serial Correlation and the Fixed Effects Model. 49(4), 533.

M Arellano (1987) Computing Robust Standard Errors for Within-Groups Estimators. 49(4), 431-434.

M Arellano (1993) On the testing of correlated effects with panel data. 59(1-2), 87-97.

F Canova, M Ciccarelli (2004) Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model. 120, 327-359.

F Canova (2007) Methods for applied macroeconomic research. 13.

F Canova, M Ciccarelli (2009) Estimating Multi-country VAR models. 50, 929-961.

Fabio Canova, Matteo Ciccarelli (2013) Panel Vector Autoregressive Models: A Survey.

Blaise Gnimassoun, Valérie Mignon (2013) HOW DO MACROECONOMIC IMBALANCES INTERACT? EVIDENCE FROM A PANEL VAR ANALYSIS. 20(7), 1717-1741.

Blaise Gnimassoun, Valérie Mignon (2015) Persistence of Current‐account Disequilibria and Real Exchange‐rate Misalignments. 23(1), 137-159.

Lutz Kilian (1998) Small-sample Confidence Intervals for Impulse Response Functions. 80(2), 218-230.

Globalization in Reverse: The Missing Link in Energy Consumption

Published

2019-04-30

How to Cite

Globalization in Reverse: The Missing Link in Energy Consumption. (2019). Global Journal of Human-Social Science, 19(E3), 1-9. https://socialscienceresearch.org/index.php/GJHSS/article/view/2818