Clean energy, non-clean energy, and economic growth in the MIST countries

This paper explores the causal relationship between clean (renewable/nuclear) and non-clean energy consumption and economic growth in emerging economies of the MIST (Mexico, Indonesia, South Korea, and Turkey) countries. The panel co-integration tests reveal that there is a long-term equilibrium relationship among GDP, capital formation, labor force, renewable/nuclear, and fossil fuel energy consumption. The panel causality results indicate that (1) there is a positive unidirectional short-run causality from fossil fuel energy consumption to economic growth with a bidirectional long-run causality; (2) there is a unidirectional long-run causality from renewable energy consumption to economic growth with positive bidirectional short-run causality, and a long-run causality from renewable to fossil fuel energy consumption with negative short-run feedback effects; and (3) there is a bidirectional long-run causality between nuclear energy consumption and economic growth and a long-run causality from fossil fuel energy consumption to nuclear energy consumption with positive short-run feedback effects. These suggest that MIST countries should be energy-dependent economies and that energy conservation policies may depress their economic development. However, developing renewable and nuclear energy is a viable solution for addressing energy security and climate change issues, and creating clean and fossil fuel energy partnerships could enhance a sustainable energy economy.

[1]  Lasse Okkonen,et al.  The Energy Services Company (ESCo) as business model for heat entrepreneurship-A case study of North Karelia, Finland , 2013 .

[2]  N. Apergis,et al.  The Electricity Consumption-Growth Nexus: Renewable Versus Non-Renewable Electricity in Central America , 2012 .

[3]  Jorge Islas,et al.  A prospective study of bioenergy use in Mexico , 2007 .

[4]  S. Yoo,et al.  Nuclear energy consumption and economic growth in Korea , 2005 .

[5]  Anil K. Bera,et al.  Efficient tests for normality, homoscedasticity and serial independence of regression residuals , 1980 .

[6]  A. Levina,et al.  Unit root tests in panel data: asymptotic and "nite-sample properties , 2002 .

[7]  Sungho Park,et al.  Geothermal resource assessment in Korea , 2010 .

[8]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[9]  G. Maddala,et al.  A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test , 1999 .

[10]  Chihwa Kao,et al.  Spurious Regression and Residual-Based Tests for Cointegration in Panel Data When the Cross-Section and Time-Series Dimensions are Comparable , 1996 .

[11]  R. Bowen.  Geothermal Resource Assessment , 1989 .

[12]  In Choi,et al.  Unit root tests for panel data , 2001 .

[13]  P. Pedroni.  Current Version : July 25 , 1999 CRITICAL VALUES FOR COINTEGRATION TESTS IN HETEROGENEOUS PANELS WITH MULTIPLE REGRESSORS * , 1999 .

[14]  Andrew T. Levin,et al.  Unit root tests in panel data: asymptotic and finite-sample properties , 2002 .

[15]  N. Apergis,et al.  A panel study of nuclear energy consumption and economic growth , 2010 .

[16]  Nicholas Apergis,et al.  On the causal dynamics between renewable and non-renewable energy consumption and economic growth in developed and developing countries , 2011 .

[17]  G. Gandolfo,et al.  Qualitative Analysis and Econometric Estimation of Continuous Time Dynamic Models , 1981 .

[18]  J. Westerlund.  Testing for Panel Cointegration with Multiple Structural Breaks , 2006 .

[19]  Hsin-Chia Fu,et al.  Renewable energy, non-renewable energy and economic growth in Brazil , 2013 .

[20]  Reiner Kümmel,et al.  Technical progress and energy dependent production functions , 1985 .

[21]  M. Pesaran,et al.  Testing for unit roots in heterogeneous panels , 2003 .

[22]  Laszlo Konya,et al.  Exports and growth: Granger causality analysis on OECD countries with a panel data approach , 2006 .

[23]  H. Pao,et al.  The causal relationship between energy resources and economic growth in Brazil , 2013 .

[24]  C. Tang.  A re-examination of the relationship between electricity consumption and economic growth in Malaysia , 2008 .

[25]  Saban Nazlioglu,et al.  Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis , 2011 .

[26]  I. Ozturk.  A literature survey on energy–growth nexus , 2010 .

[27]  C. Tang,et al.  The savings-growth nexus for the Malaysian economy: a view through rolling sub-samples , 2012 .

[28]  Kaddour Hadri,et al.  Testing for Stationarity in Heterogeneous Panel Data , 2000 .

[29]  Nicholas Apergis,et al.  On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth ☆ , 2010 .

[30]  Jörg Breitung,et al.  The local power of some unit root tests for panel data , 1999 .

[31]  Chien‐Chiang Lee,et al.  Oil prices, nuclear energy consumption, and economic growth: New evidence using a heterogeneous panel analysis , 2011 .

[32]  J. E. Payne,et al.  Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model , 2012 .

[33]  J. E. Payne,et al.  Renewable and non-renewable electricity consumption–growth nexus: Evidence from emerging market economies , 2011 .

[34]  P. Pedroni.  PANEL COINTEGRATION: ASYMPTOTIC AND FINITE SAMPLE PROPERTIES OF POOLED TIME SERIES TESTS WITH AN APPLICATION TO THE PPP HYPOTHESIS , 2004, Econometric Theory.

[35]  N. Apergis,et al.  Another Look at the Electricity Consumption-Growth Nexus in South America , 2013 .

[36]  T. P. Ogun.  Infrastructure and Poverty Reduction: Implications for Urban Development in Nigeria , 2010 .