IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v18y2013icp543-551.html
   My bibliography  Save this article

Analysis of South Korea’s economic growth, carbon dioxide emission, and energy consumption using the Markov switching model

Author

Listed:
  • Park, JaeHyun
  • Hong, TaeHoon

Abstract

Recently, many countries have been making an effort to reduce their carbon dioxide (CO2) emission, and as part of such effort, the United Nations Framework Convention on Climate Change (UNFCCC) adopted the Kyoto Protocol in 1997. South Korea is very likely to be included in the second batch of countries that must reduce their greenhouse gas emission after the end of the implementation of the Kyoto Protocol in 2012. Reducing the country’s CO2 emission, however, can have an impact on the economy. Therefore, in this study, the correlations between South Korea’s economic growth, CO2 emission, and energy consumption were analyzed. The analysis period was from Q1 1991 to Q4 2011, and the analysis methods that were used were regression analysis for the relational analysis among the various overall indices, and the Markov switching model for a more detailed analysis. The results of the analyses showed that South Korea’s economic growth and CO2 emission were coincidental. The correlation analysis of the country’s economic growth and energy consumption showed a significant correlation between economic growth and fossil fuels, which emit CO2, such as coal in the industrial sector, petroleum products in the industrial and transportation sectors, and liquefied natural gas (LNG) in the residential/ commercial and industrial sectors. It is expected that the results of this study will pave the way for the conduct of various researches on controlling the country’s CO2 emission management, and for suggestions for such to be given, such as policies for reducing the energy consumption in each sector, using the methodology proposed in this study.

Suggested Citation

  • Park, JaeHyun & Hong, TaeHoon, 2013. "Analysis of South Korea’s economic growth, carbon dioxide emission, and energy consumption using the Markov switching model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 543-551.
  • Handle: RePEc:eee:rensus:v:18:y:2013:i:c:p:543-551
    DOI: 10.1016/j.rser.2012.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032112006119
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pao, Hsiao-Tien & Yu, Hsiao-Cheng & Yang, Yeou-Herng, 2011. "Modeling the CO2 emissions, energy use, and economic growth in Russia," Energy, Elsevier, vol. 36(8), pages 5094-5100.
    2. Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2011. "CO2 emissions, GDP and energy intensity: A multivariate cointegration and causality analysis for Greece, 1977-2007," Applied Energy, Elsevier, vol. 88(4), pages 1377-1385, April.
    3. Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2007. "The relationship between GDP and electricity consumption in 10 Asian countries," Energy Policy, Elsevier, vol. 35(4), pages 2611-2621, April.
    4. Kim, Sei-wan & Lee, Kihoon & Nam, Kiseok, 2010. "The relationship between CO2 emissions and economic growth: The case of Korea with nonlinear evidence," Energy Policy, Elsevier, vol. 38(10), pages 5938-5946, October.
    5. Sims, Christopher A., 1993. "Rational expectations modeling with seasonally adjusted data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 9-19.
    6. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. Ozturk, Ilhan & Acaravci, Ali, 2010. "CO2 emissions, energy consumption and economic growth in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3220-3225, December.
    9. Daniel R. Smith, 2008. "Evaluating Specification Tests for Markov-Switching Time-Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 629-652, July.
    10. Lotfalipour, Mohammad Reza & Falahi, Mohammad Ali & Ashena, Malihe, 2010. "Economic growth, CO2 emissions, and fossil fuels consumption in Iran," Energy, Elsevier, vol. 35(12), pages 5115-5120.
    11. Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "CO2 emissions, nuclear energy, renewable energy and economic growth in the US," Energy Policy, Elsevier, vol. 38(6), pages 2911-2915, June.
    12. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    13. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    14. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    15. Oh, Wankeun & Lee, Kihoon, 2004. "Energy consumption and economic growth in Korea: testing the causality relation," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 973-981, December.
    16. Yoo, Seung-Hoon, 2005. "Electricity consumption and economic growth: evidence from Korea," Energy Policy, Elsevier, vol. 33(12), pages 1627-1632, August.
    17. Oh, Wankeun & Lee, Kihoon, 2004. "Causal relationship between energy consumption and GDP revisited: the case of Korea 1970-1999," Energy Economics, Elsevier, vol. 26(1), pages 51-59, January.
    18. Niu, Shuwen & Ding, Yongxia & Niu, Yunzhu & Li, Yixin & Luo, Guanghua, 2011. "Economic growth, energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries," Energy Policy, Elsevier, vol. 39(4), pages 2121-2131, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahdi Ziaei, Sayyed, 2015. "Effects of financial development indicators on energy consumption and CO2 emission of European, East Asian and Oceania countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 752-759.
    2. Katircioglu, Salih Turan & Feridun, Mete & Kilinc, Ceyhun, 2014. "Estimating tourism-induced energy consumption and CO2 emissions: The case of Cyprus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 634-640.
    3. Kafle, Sagar & Parajuli, Ranjan & Bhattarai, Sujala & Euh, Seung Hee & Kim, Dae Hyun, 2017. "A review on energy systems and GHG emissions reduction plan and policy of the Republic of Korea: Past, present, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1123-1130.
    4. Al-mulali, Usama & Lee, Janice YM & Hakim Mohammed, Abdul & Sheau-Ting, Low, 2013. "Examining the link between energy consumption, carbon dioxide emission, and economic growth in Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 42-48.
    5. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    6. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Koo, Choongwan & Jeong, Kwangbok, 2016. "An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption," Applied Energy, Elsevier, vol. 169(C), pages 682-695.
    7. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    8. Zeb, Raheel & Salar, Laleena & Awan, Usama & Zaman, Khalid & Shahbaz, Muhammad, 2014. "Causal links between renewable energy, environmental degradation and economic growth in selected SAARC countries: Progress towards green economy," Renewable Energy, Elsevier, vol. 71(C), pages 123-132.
    9. Pablo-Romero, María del P. & De Jesús, Josué, 2016. "Economic growth and energy consumption: The Energy-Environmental Kuznets Curve for Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1343-1350.
    10. Deviren, Seyma Akkaya & Deviren, Bayram, 2016. "The relationship between carbon dioxide emission and economic growth: Hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 429-439.
    11. Dogan, Eyup & Seker, Fahri, 2016. "The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1074-1085.
    12. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 207-217.
    13. Black, Geoffrey & Taylor Black, Meredith A. & Solan, David & Shropshire, David, 2015. "Carbon free energy development and the role of small modular reactors: A review and decision framework for deployment in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 83-94.
    14. repec:eee:eneeco:v:65:y:2017:i:c:p:355-374 is not listed on IDEAS
    15. Roach, Travis, 2015. "Hidden regimes and the demand for carbon dioxide from motor-gasoline," Energy Economics, Elsevier, vol. 52(PB), pages 306-315.
    16. Lin, Boqiang & Moubarak, Mohamed & Ouyang, Xiaoling, 2014. "Carbon dioxide emissions and growth of the manufacturing sector: Evidence for China," Energy, Elsevier, vol. 76(C), pages 830-837.
    17. Dogan, Eyup & Seker, Fahri, 2016. "Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy," Renewable Energy, Elsevier, vol. 94(C), pages 429-439.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:18:y:2013:i:c:p:543-551. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.