Determinantes da eficiência energética: provas do grupo Brics (1990-2018)

Conteúdo do artigo principal

Digna Ortega
https://orcid.org/0000-0001-6523-0446
José Contreras
https://orcid.org/0000-0001-7015-7466

Resumo

Este artigo visa apresentar provas sobre as estimativas do nível de eficiência energética e os seus determinantes socioeconómicos para os países Brasil, Rússia, Índia, China e África do Sul durante o período 1990-2018. A função de distância de entrada para obter níveis de eficiência energética foi estimada sob a abordagem de análise de fronteira estocástica com dados de painel, utilizando especificações econométricas diferentes. Os resultados sugerem que o modelo proposto por Kumbhakar et al. (2012) é o mais apropriado porque permite a estimativa de eficiência transitória e persistente, bem como a heterogeneidade não observada e o termo de erro idiossincrático. Verificou-se que um aumento do preço agregado da energia e do valor acrescentado industrial afecta negativamente a variabilidade da ineficiência transitória. Além disso, a China e a Índia apresentaram o maior potencial de poupança no consumo de energia e as emissões associadas CO2 a longo prazo, enquanto a curto prazo a China e a Rússia apresentam o maior potencial de poupança; com a China a apresentar uma das mais baixas médias de eficiência persistente e transitória entre a amostra de países.

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Detalhes do artigo

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Biografia do Autor

Digna Ortega, Universidad Católica Andrés Bello

Economista, Universidad Central de Venezuela, Caracas, Venezuela. Magister en Economía Aplicada, Universidad Católica Andrés Bello, Caracas, Venezuela. Teléfono +58 414-9237675. Correo electrónico: digna.ortegag@gmail.com

José Contreras, Universidad Metropolitana de Caracas

Matemático y Magister en Matemáticas, Universidad Central de Venezuela, Caracas, Venezuela. PhD en Economía, Universidad de Texas A&M, Texas, Estados Unidos. Profesor en la Universidad Metropolitana de Caracas, Venezuela. Teléfono +58 414-1809522. Correo electrónico: jcontreras@unimet.edu.ve

Como Citar

Ortega, D. ., & Contreras, J. (2022). Determinantes da eficiência energética: provas do grupo Brics (1990-2018). Semestre Económico, 24(57), 282-319. https://doi.org/10.22395/seec.v24n57a14

Referências

Adebisi, I. (2017). Essays on Energy Efficiency and Fuel Subsidy Reforms [tesis de doctorado, Universidad de Manchester]. https://www.research.manchester.ac.uk/portal/files/84031478/FULL_TEXT.PDF.

Adetutu, M., Glass, A. y Weyman-Jones, T. (2015). Economy-wide Estimates of Rebound Effects: Evidence from Panel Data. The Energy Journal, 37(3), 251-269. https://ideas.repec.org/p/pra/mprapa/65409.html.

Adom, P. (2015). Asymmetric Impacts of the Determinants of Energy Intensity in Nigeria. Energy Economics, 49, 570-580. https://doi.org/10.1016/j.eneco.2015.03.027.

Aigner, D., Lovell, C. A. K. y Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21-37. https://doi.org/10.1016/03044076(77)90052-5.

Battese, G. y Coelli, T. (1988). Prediction of Firm-Level Technical Efficiencies with a Generalized Frontier Production Function Models. Journal of Econometrics, 6(1), 21-37. https://www.sciencedirect.com/science/article/abs/pii/030440768890053X.

Caudill, S. B., Ford, J. M. y Gropper, D. M. (1995). Frontier Estimation and Firm Specific Inefficiency Measures in the Presence of Heteroscedasticity. Journal of Business & Economic Statistics, 13(1), 105-111. https://ideas.repec.org/a/bes/jnlbes/v13y1995i1p105-11.html.

Charnes, A., Cooper, W.W. y Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/03772217(78)90138-8.

Chitnis, M., y Hunt, L. C. (2012). What drives the change in UK household energy expenditure and associated CO2 emissions? Implication and forecast to 2020. Applied Energy 94, 202-214. https://ideas.repec.org/p/sur/seedps/134.html.

Cole, M.A. (2006). Does Trade Liberalization Increase National Energy Use? Economics Letters, 92(1), 108-112. https://doi.org/10.1016/j.econlet.2006.01.018.

Colombi, R., Kumbhakar, S. C., Martini, G. y Vittadini, G. (2014). Closed-Skew Normality in Stochastic Frontiers with Individual Effects and Long/Short-Run Efficiency. Journal of Productivity Analysis, 42(2), 123-136. https://link.springer.com/article/10.1007/s11123-014-0386-y.

Cornillie, J. y Fankhauser, S. (2004). The Energy Intensity of Transition Countries. Energy Economics, 26(3), 283-295. https://doi.org/10.1016/j.eneco.2004.04.015.

Eskeland, G. y Harrison, A. (2003). Moving to Greener Pastures? Multinacional and the Pollution Haven Hypothesis. Journal of Development Economics, 70(1), 1-23. https://doi.org/10.1016/S0304-3878(02)00084-6.

Evans, J., Filippini, M. y Hunt, L. C. (2013). The Contribution of Energy Efficiency Towards Meeting Co2 Targets. En R. Fouquet (ed.), Handbook on Energy and Climate Change (pp. 175-223). Edward Elgar Publishing. https://www.elgaronline.com/view/edcoll/9780857933683/9780857933683.00016.xml.

Farrell, M. J. (1957). The Measurement of Productive Efficiency. Jornal of the Royal Stadistical Society, 120(3), 253-290. https://www.jstor.org/stable/2343100.

Fisher-Vanden, K., Jefferson, G. H., Liu, H. y Tao, Q. (2004). What is Driving China’s Decline in Energy Intensity? Resource and Energy Economics, 26(1), 77-97. https://doi.org/10.1016/j.reseneeco.2003.07.002.

Filippini, M. y Greene, W. (2016). Persistent and Transient Productive Inefficiency: A Maximum Simulated Likelihood Approach. Journal of Productivity Analysis, 45(2), 187-196. https://link.springer.com/article/10.1007/s11123-015-0446-y.

Filippini, M. y Hunt, L. C. (2011). Energy demand and Energy Efficiency in the OECD Countries: A Stochastic Demand Frontier Approach. Energy Journal, 32(2), 59-80. http://www.iaee.org/en/publications/ejarticle.aspx?id=2417.

Filippini, M. y Hunt, L. C. (2012). US residential energy demand and energy efficiency: A stochastic

demand frontier approach. Energy Economics, 34(5), 1484-1491. https://doi.org/10.1016/j.eneco.2012.06.013

Filippini, M. y Hunt, L. C. (2015). Measurement of Energy Efficiency Based on Economic Foundations. Energy Economics, 52(1) S5-S16. https://doi.org/10.1016/j.eneco.2015.08.023.

Greene, W. H. (2000). Econometric Analysis. Prentices Hall. https://spu.fem.uniag.sk/cvicenia/ksov/obtulovic/Mana%C5%BE.%20%C5%A1tatistika%20a%20ekonometria/EconometricsGREENE.pdf.

Greene, W. (2005). Fixed and Random Effects in Stochastic Frontier Models. Journal of Productivity Analysis, 23(1), 7-32. https://link.springer.com/article/10.1007/s11123-004-85451#:~:text=A%20fixed%20effects%20model%20is,of%20the%20random%20parameters%20model.

Grossman, G. y Helpman, E. (1991). Innovation and Growth in the Global Economy. MIT Press. https://mitpress.mit.edu/books/innovation-and-growth-global-economy.

Hadri, K. (1999). Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function. Journal of Business & Economic Statistics, 17(3), 359-363. https://econpapers.repec.org/article/besjnlbes/v_3a17_3ay_3a1999_3ai_3a3_3ap_3a359-63.htm.

Hang, L. y Tu, M. (2007). The impacts of Energy Prices on Energy Intensity: Evidence from China. Energy Policy, 35(5), 2978-2988. https://doi.org/10.1016/j.enpol.2006.10.022.

Holmes, T.J. y Schmidtz, J.A. (2001). Competition at Work: Railroads vs. Monopoly in the U.S. Shipping Industry. Quarterly Review, 25, 3-9. https://ideas.repec.org/a/fip/fedmqr/y2001isprp329nv.25no.2.html.

Hubler, M. (2009). Energy Saving Technology Diffusion via FDI dnd Trade: a CGE of China. Kiel Working Paper, (1479). https://ideas.repec.org/p/zbw/ifwkwp/1479.html.

Huntington, H. G. (1994). Been top down so long it looks Like Bottom up to me. Energy Policy, 22(10), 833-839. https://doi.org/10.1016/0301-4215(94)90142-2.

International Energy Agency (IEA). (2009). Progress with Implementing Energy Efficiency Policies in the g8. https://www.iea.org/reports/progress-with-implementing-energy-efficiency-policies-in-the-g8.

International Energy Agency (IEA). (2015). Capturing the Multiple Benefits of Energy Efficiency. https://www.iea.org/reports/capturing-the-multiple-benefits-of-energy-efficiency.

International Energy Agency (IEA). (2016). Energy efficiency Market Report 2016. https://www.iea.org/reports/energy-efficiency-2016.

International Energy Agency (IEA). (2018). WEO 2018- Energy, water and Sustainable Development Goals. https://www.iea.org/reports/energy-water-and-the-sustainable-development-goals.

International Energy Agency (IEA). (2019). IEA Headline Global Energy Data (2019 edition). https://vipo.iea.org/media/statistics/IEA_HeadlineEnergyData.xlsx#.

International Energy Agency (IEA). (2020). World Energy Balances Highlights (2020 edition). https://www.iea.org/data-and-statistics/data-product/world-energy-balances-highlights.

International Energy Agency (IEA). (2021). Policies Database, Efficiency Energy. https://www.iea.org/policies.

Kipouros, P. (2017). Energy Efficiency and the Rebound Effect in Developing Countries [tesis de doctorado, Universidad de Surrey]. https://seec.surrey.ac.uk/wp-content/uploads/2018/10/2018ParaskevasKipurosThesis.pdf.

Kopp, R. J. (1981).The Measurement Of Productive Efficiency: A reconsideration. The Quarterly Journal of Economics, 96(3), 477-503. https://doi.org/10.2307/1882683.

Kumbhakar, S. C. y Hjalmarsson, L. (1995). Labour-Use Efficiency in Swedish Social Insurance Offices. Journal of Applied Econometrics, 10(1), 33-47. https://ideas.repec.org/a/jae/japmet/v10y1995i1p33-47.html.

Kumbhakar, S. C., Lien, G. y Hardaker, J. B. (2012). Technical Efficiency Incompeting Panel DataModels: A Study of Norwegian Grain Farming. Journal of Productivity Analysis, 41(2), 321-37. https://link.springer.com/article/10.1007/s11123-012-0303-1.

Kumbhakar, S. y Lovell, C. (2000). Stochastic Frontier Analysis. Cambridge University Press. http://catdir.loc.gov/catdir/samples/cam032/99031297.pdf.

Kumbhakar, S. C., Wang, H. y Horncastle, A. (2015). A Practitioner’s Guide to Stochastic Frontier Analysis Using Stata. Cambridge University Press. https://assets.cambridge.org/97811070/29514/frontmatter/9781107029514_frontmatter.pdf.

Meeusen, W. y van den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International economic review, 18(2), 435-444. https://econpapers.repec.org/article/ieriecrev/v_3a18_3ay_3a1977_3ai_3a2_3ap_3a435-44.htm.

Metcalf, G. E (2008). An Empirical Analysis of Energy Intensity and its Determinants at the State Level. The Energy Journal, 29(3), 1-26. https://globalchange.mit.edu/sites/default/files/MITJPSPGC_Reprint08-8.pdf.

Mielnik, O. y Goldemberg, J. (2002). Foreign direct investment and decoupling between energy and gross domestic product in developing countries. Energy Policy 30, 87-89. https://doi.org/10.1016/S03014215(01)00080-5.

Milner, C. y Westtaway, T. (1994). The Effect of Size on Sources of Medium-term Growth in Developing Countries. Scottish Journal of Political Economy, 41(2): 128-141. https://ideas.repec.org/a/bla/scotjp/v41y1994i2p128-41.html.

Moshiri, S. y Duah, N. (2016). Changes in Energy Intensity in Canada. The Energy Journal, 37(4), 315-342. https://ideas.repec.org/a/aen/journl/ej37-4-moshiri.html.

Myers, J. G. y Nakamura, L. (1978). Saving Energy in Manufacturing: The Post-embargo Record. Universidad de California.

Lin, B. y Moubarak, M. (2014). Estimation of energy saving potential in China’s paper industry. Energy, Elsevier, 65(C), 182-189. https://ideas.repec.org/a/eee/energy/v65y2014icp182-189.html.

Organización Latinoamericana de Energía (OLADE). (2016). Planeta Eficiente, Planeta Consciente: Eficiencia Energética y Desarrollo Sostenible. https://biblioteca.olade.org/opac-tmpl/Documentos/old0356.pdf.

Schmidt, P. y Lin, T.-F. (1984). Simple Tests of Alternative Specifications in Stochastic Frontier Models. Journal of Econometrics, 24(3), 349-61. https://doi.org/10.1016/0304-4076(84)90058-7.

Schmidt, P. y Sickles, R. C. (1984). Production Frontiers and Panel Data. Journal of Business and Economic Statistics, 2(4), 367-374. https://www.jstor.org/stable/1391278.

Shen, L. (2007). The Changes of China’s Foreign Trade Structure are Harmful to Energy-Saving and Consumption Reducing. Manage World, (10), 43-50.

Weyman-Jones, T.G. y Milner, C. (2003). Relative National Efficiency and Country Size: Evidence for Developing Countries. Review of Development Economics, 7(1), 1-14. https://onlinelibrary.wiley.com/doi/abs/10.1111/1467-9361.00171.

Zhang, S. (2016). Energy Efficiency and Business Performance: Evidence of the Swedish Industry [tesis de doctorado, Universidad de Ciencias Agrícolas de Suecia].

Zhou, P., Ang, B. y Zhou, D. (2012). Measuring Economy-Wide Energy Efficiency Performance: A Parametric Frontier Approach. Applied Energy, 90(1), 196-200. https://ideas.repec.org/a/eee/appene/v90y2012i1p196-200.html.

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