IDEAS home Printed from https://ideas.repec.org/p/ags/sobr06/148465.html
   My bibliography  Save this paper

Economic Growth And Energy Consumption: A Sur Regression Model Application In Brazil For Several Sources Of Fuel

Author

Listed:
  • Kamogawa, Luiz Fernando Ohara
  • SHIROTA, RICARDO

Abstract

Apesar de uma série argumentos teóricos e evidências empíricas demonstrarem que a partir de certos níveis de renda ocorre a chamada EKC (Environmental Kuznets Curve), i.e., uma relação em “U” invertido entre renda e degradação ambiental (ou consumo dos recursos naturais) estudos aplicados demonstraram que para o caso do consumo de energia no Brasil, esta relação não se verifica. A melhoria na qualidade ambiental poderia, no entanto, estar ocorrendo pela troca de uma matriz energética mais intensiva na emissão de poluentes por uma menos agressiva. Para verificar este efeito foram estimadas várias EKC’s para diferentes tipos de fonte primárias de energia (petróleo, álcool de cana-de-açúcar, gás natural, carvão mineral e vegetal, hidroeletricidade residencial e industrial e lenha). Como a princípio as demandas são correlacionadas entre si, foi utilizado um modelo de regressão do tipo SUR (Seemingly Unrelated Regressions). O resultado obtido confirma a hipótese de que as funções são correlacionadas contemporaneamente e que o nível de consumo da maioria das fontes de energia é crescente em função da renda (algumas com elasticidade também crescente). Outros resultados extraídos indicam que a participação das fontes renováveis tende a decair ao longo do processo de crescimento econômico; e, há um aumento exponencial nas emissões de carbono no longo-prazo (tanto originário de fontes renováveis quanto não-renováveis). ----------------------------------------------------- Although some theoretical and empirical evidences show that under some level of income the relationship between income and the use of natural resources and environmental quality is inverted U-shaped (the well know EKC-Environmental Kuznets Curve), applied studies have shown that for the case of per capita energy consumption in Brazil the EKC doesn’t applies. However, an improvement on environmental quality would be occurring be the substitution of the energy matrix to another one less intensive on pollutants. Objecting the extraction of this effect it had been done the estimation of several EKC’s for different sources of fuel (petroleum, sugar-cane alcohol, natural gas, mineral and vegetal coal, residential and industrial hydroelectricity and wood). Once those sources of energy demand are, by substitution, correlated, it had been used the econometrical technique of the regression by SUR (Seemingly Unrelated Regressors). The final result had shown what was expected: the different energy sources are contemporaneously correlated and they are in most part positively correlated with income, actually some of then have increasing elasticity on income. Some simulations done indicates that the percent participation of the renewable sources of energy is decreasing along economic growth; and, the carbon emissions is exponential increasing on long-run (either renewable and non-renewable).

Suggested Citation

  • Kamogawa, Luiz Fernando Ohara & SHIROTA, RICARDO, 2006. "Economic Growth And Energy Consumption: A Sur Regression Model Application In Brazil For Several Sources Of Fuel," 44th Congress, July 23-27, 2006, Fortaleza, Ceará, Brazil 148465, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
  • Handle: RePEc:ags:sobr06:148465
    DOI: 10.22004/ag.econ.148465
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/148465/files/778.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.148465?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    2. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    3. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    4. Tsay, Wen-Jen, 2004. "Testing for contemporaneous correlation of disturbances in seemingly unrelated regressions with serial dependence," Economics Letters, Elsevier, vol. 83(1), pages 69-76, April.
    5. Shafik, Nemat, 1994. "Economic Development and Environmental Quality: An Econometric Analysis," Oxford Economic Papers, Oxford University Press, vol. 46(0), pages 757-773, Supplemen.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sebri, Maamar, 2009. "La Zone Méditerranéenne Face à la Pollution de L’air : Une Investigation Econométrique [The Mediterranean Zone in front of Air pollution: an Econometric Investigation]," MPRA Paper 32382, University Library of Munich, Germany.
    2. Mazzanti, Massimiliano & Montini, Anna & Zoboli, Roberto, 2006. "Municipal Waste Production, Economic Drivers, and 'New' Waste Policies: EKC Evidence from Italian Regional and Provincial Panel Data," Climate Change Modelling and Policy Working Papers 12053, Fondazione Eni Enrico Mattei (FEEM).
    3. Tamazian, Artur & Bhaskara Rao, B., 2010. "Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies," Energy Economics, Elsevier, vol. 32(1), pages 137-145, January.
    4. Bertinelli, Luisito & Strobl, Eric, 2005. "The Environmental Kuznets Curve semi-parametrically revisited," Economics Letters, Elsevier, vol. 88(3), pages 350-357, September.
    5. Md Danesh Miah & Md Farhad Hossain Masum & Masao Koike & Shalina Akther & Nur Muhammed, 2011. "Environmental Kuznets Curve: the case of Bangladesh for waste emission and suspended particulate matter," Environment Systems and Decisions, Springer, vol. 31(1), pages 59-66, March.
    6. Valeria Costantini & Chiara Martini, 2010. "A Modified Environmental Kuznets Curve for sustainable development assessment using panel data," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 10(1/2), pages 84-122.
    7. Balsalobre-Lorente, Daniel & Shahbaz, Muhammad & Roubaud, David & Farhani, Sahbi, 2018. "How economic growth, renewable electricity and natural resources contribute to CO2 emissions?," Energy Policy, Elsevier, vol. 113(C), pages 356-367.
    8. Sabuj Kumar Mandal & Devleena Chakravarty, 2017. "Role of energy in estimating turning point of Environmental Kuznets Curve: an econometric analysis of the existing studies," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(2), pages 387-401, October.
    9. Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 425-445, May.
    10. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    11. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.
    12. Xiaosheng Li & Xia Yan & Qingxian An & Ke Chen & Zhen Shen, 2016. "The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 233-252, August.
    13. Danesh Miah, Md. & Farhad Hossain Masum, Md. & Koike, Masao, 2010. "Global observation of EKC hypothesis for CO2, SOx and NOx emission: A policy understanding for climate change mitigation in Bangladesh," Energy Policy, Elsevier, vol. 38(8), pages 4643-4651, August.
    14. Tetsuya Tsurumi & Shunsuke Managi, 2010. "Decomposition of the environmental Kuznets curve: scale, technique, and composition effects," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 11(1), pages 19-36, February.
    15. Azam, Muhammad & Khan, Abdul Qayyum, 2016. "Testing the Environmental Kuznets Curve hypothesis: A comparative empirical study for low, lower middle, upper middle and high income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 556-567.
    16. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    17. Giovanni Bella & Carla Massidda & Ivan Etzo, 2013. "A Panel Estimation of the Relationship between Income, Electric Power Consumption and CO2 Emissions," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 59(2), pages 149-166.
    18. Bölük, Gülden & Mert, Mehmet, 2014. "Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries," Energy, Elsevier, vol. 74(C), pages 439-446.
    19. Ward, Patrick & Shively, Gerald, 2012. "Vulnerability, Income Growth and Climate Change," World Development, Elsevier, vol. 40(5), pages 916-927.
    20. Azomahou, Theophile & Laisney, Francois & Nguyen Van, Phu, 2006. "Economic development and CO2 emissions: A nonparametric panel approach," Journal of Public Economics, Elsevier, vol. 90(6-7), pages 1347-1363, August.

    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    Statistics

    Access and download statistics

    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:ags:sobr06:148465. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/soberea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.