Vol. 4 (2018): núm. especial, vol. 4
Artículos

Impacto del consumo de energía y del valor agregado de las manufacturas en el crecimiento económico de los países que integran el TLCAN: un modelo de datos panel cointegrado con cambio estructural

Héctor F. Salazar Núñez
Universidad Panamericana
Francisco Venegas Martínez
Instituto Politécnico Nacional
Biografía
núm. especial, vol. 3
Publicado agosto 3, 2018
Palabras clave
  • Crecimiento económico,
  • energía eléctrica,
  • innovación tecnológica,
  • modelos de datos panel

Resumen

Esta investigación estudia las relaciones entre el consumo de energía, el valor agregado de las manufacturas y el crecimiento económico para los países integrantes del Tratado de Libre Comercio de América del Norte (TLCAN), antes y después de la firma de este tratado. Para ello se utiliza la metodología de datos panel cointegrados con cambio estructural durante el periodo 1970-2015. El método de estimación utilizado es el de mínimos cuadrados ordinarios totalmente modificados. La evidencia empírica encontrada sugiere que el valor agregado de las manufacturas mantiene una relación causal de tipo bidireccional con el producto interno bruto (PIB) en el corto plazo y neutral con el consumo de energía. Sin embargo, en el largo plazo las variables explicativas tienen una relación causal unidireccional hacia el PIB. Por último, se analiza la estabilidad estructural del modelo en el largo plazo, mediante la estimación de los residuos recursivos, encontrando que después de la firma del tlcan se presentó un cambio estructural.

Citas

  1. Aali-Bujari, Alí; Venegas-Martínez, Francisco y Palafox-Roca, Alfredo Omar (2017), “Impact of Energy Consumption on Economic Growth in Major OECD Economies (1977-2014): A Panel Data Approach”, International Journal of Energy Economics and Policy, 7 (2), pp. 18-25.
  2. Aghion, Philippe; Blundell, Richard; Griffith, Rachel; Howitt, Peter y Prantl, Susanne (2004), “Entry and Productivity Growth: Evidence from Microlevel Panel Data”, Journal of the European Economic Association, 2 (2-3), pp. 265-276.
  3. Andrews, Donald W. K. (1991), “Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation”, Econometrica, 58 (3), pp. 817-858.
  4. Akinlo, Anthony E. (2009), “Electricity Consumption and Economic Growth in Nigeria: Evidence from Cointegration and Co-Feature Analysis”, Journal of Policy Modeling, 31 (5), pp. 681-693.
  5. Apergis, Nicholas y Payne, James E. (2010), “Energy Consumption and Growth in South America: Evidence from a Panel Error Correction Model”, Energy Economics, 32 (6), pp. 1421-1426.
  6. Bhattacharya, Milta; Reddy Paramati, Sudharshan; Ozturk, Ilhan and Bhattacharya, Sankar (2016), “The Effect of Renewable Energy Consumption on Economic Growth: Evidence from Top 38 Countries”, Applied Energy, 162 (C), pp. 733-741.
  7. Choi, In (2001), “Unit Root Tests for Panel Data”, Journal of International Money and Finance, 20 (2), pp. 249-272.
  8. Coers, Robin y Sanders, Mark (2013), “The Energy–GDP Nexus; Addressing an Old Question with New Methods”, Energy Economics, 36 (C), pp. 708-715.
  9. Destek, Mehmet A. (2016), “Natural Gas Consumption and Economic Growth: Panel Evidence from oecd Countries”, Energy, 114 (C), pp. 1007-1015.
  10. Dickey, David A. y Fuller, Wayne A. (1979), “Distribution of The Estimators for Autoregressive Time Series with a Unit Root”, Journal of the American Statistical Association, 74 (366a), pp. 427-431.
  11. Engle, Robert F. y Granger, Clive W. J. (1987), “Co-Integration and Error Correction: Representation, Estimation, and Testing”, Econometrica, 55 (2), pp. 251-276.
  12. Fatai, Osaiasi Koli; Oxley, Les y Gordon Scrimgeour, Francis (2004), “Modelling the Causal Relationship between Energy Consumption and GDP in New Zealand, Australia, India, Indonesia, the Philippines and Thailand”, Mathematics and Computers in Simulation, 64 (3), pp. 431-445.
  13. Fisher, Ronald Aylmer (1932), Statistical Methods for Research Workers. 5th ed., rev. and enl., Edinburgh, Oliver and Boyd.
  14. Ghosh, Sajal (2010), “Examining Carbon Emissions Economic Growth Nexus for India: A Multivariate Cointegration Approach”, Energy Policy, 38 (6), pp. 3008-3014.
  15. Hadri, Kaddour (2000), “Testing for Stationarity in Heterogeneous Panel Data”, The Econometrics Journal, 3 (2), pp. 148-161.
  16. Hamilton, James D. (1994), Time Series Analysis, vol. 2, Princeton, Princeton University Press.
  17. Im, Kyung So; Pesaran, M. Hashem y Shin, Yongcheol (2003), “Testing for Unit Roots in Heterogeneous Panels”, Journal of Econometrics, 115 (1), pp. 53-74.
  18. Johansen, Søren (1988), “Statistical Analysis of Cointegration Vectors”, Journal of Economic Dynamics and Control, 12 (2-3), pp. 231-254.
  19. Johansen, Søren (1991), “Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models”, Econometrica, 59 (6), pp. 1551-1580.
  20. Kao, Chihwa y Chiang, Min-Hsien (2000), “Nonstationary Panels, Panel Cointegration and Dynamic Panels”, Advances in Econometrics, 6 (5), pp. 179-222.
  21. Kasman, Adnan y Duman, Yavuz Selman (2015), “CO2 Emissions, Economic Growth, Energy Consumption, Trade and Urbanization in New EU Member and Candidate Countries: A Panel Data Analysis”, Economic Modelling, 44 (C), pp. 97-103.
  22. Kraft, John y Kraft, Arthur (1978), “On the Relationship between Energy and GNP”, The Journal of Energy and Development, 23 (8), pp. 401-403.
  23. Kwiatkowski, Denis; Phillips, Peter C. B.; Schmidt, Peter y Shin, Yongcheol (1992), “Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root: How Sure Are We that Economic Time Series Have a Unit Root?, Journal of Econometrics, 54 (1-3), pp. 159-178.
  24. Kuznets, Simon (1966), Modern Economic Growth, Yale University Press, New Haven.
  25. Levin, Andrew; Lin, Chien-Fu y James Chu, Chia-Shang (2002), “Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties”, Journal of Econometrics, 108 (1), pp. 1-24.
  26. Maddala, Gangadharrao Soundalyarao y Wu, Shaowen (1999), “A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test”, Oxford Bulletin of Economics and Statistics, 61 (S1), pp. 631-652.
  27. Narayan, Paresh Kumar y Prasad, Arti (2008), “Electricity Consumption–Real GDP Causality Nexus: Evidence from a Bootstrapped Causality Test for 30 OECD Countries”, Energy Policy, 36 (2), pp. 910-918.
  28. Newey, Whitney K. y West, Kenneth D. (1987), “Hypothesis Testing with Efficient Method of Moments Estimation”, International Economic Review, 28 (3), pp. 777-787.
  29. Ozcan, Burku (2013), “The Nexus between Carbon Emissions, Energy Consumption and Economic Growth in Middle East Countries: A Panel Data Analysis”, Energy Policy, 62 (C), pp. 1138-1147.
  30. Ozturk, Ilhan (2010), “A Literature Survey on Energy–Growth Nexus”, Energy policy, 38 (1), pp. 340-349.
  31. Parsons, Stanley Alfred James (1968), The Framework of Technical Innovation, Macmillan, London.
  32. Pedroni, Peter (1999), “Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors”, Oxford Bulletin of Economics and Statistics, 61 (s1), pp. 653-670.
  33. Pedroni, Peter (1996), “Fully Modified OLS for Heterogeneous Cointegrated Panels and the Case of Purchasing Power Parity”, Manuscript, Department of Economics, Indiana University.
  34. Pedroni, Peter (2000), “OLS completamente modificado para paneles cointegrados heterogéneos”, Advances in Econometrics, 15, pp. 93-130.
  35. Pedroni, Peter (2001), “Purchasing Power Parity Tests in Cointegrated Panels”, Review of Economics and Statistics, 83 (4), pp. 727-731.
  36. Pedroni, Peter (2004). “Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis”, Econometric Theory, 20 (03), pp. 597-625.
  37. Phillips, Peter C. B. y Hansen, Bruce E. (1990), “Statistical Inference in Instrumental Variables Regression with I (1) Processes”, The Review of Economic Studies, 57 (1), pp. 99-125.
  38. Phillips, Peter C. B. y Moon, Hyungsik R. (1999), “Linear Regression Limit Theory for Nonstationary Panel Data”, Econometrica, 67 (5), pp. 1057-1111.
  39. Phillips, Peter C. B., y Perron, Pierre (1988), “Testing for a Unit Root in Time Series Regression”, Biometrika, 75 (2), pp. 335-346.
  40. Rezitis, Anthony N. R. y Ahammad, Shaikh Mostak (2016), “Energy Consumption and Economic Growth in South and Southeast Asian Countries: Evidence from a Dynamic Panel Data Approach”, International Energy Journal, 15 (3), pp. 103-116.
  41. Salazar-Núñez, Héctor Francisco y Venegas-Martínez, Francisco (2018), “Impacto del uso de energía y la formación bruta de capital en el crecimiento económico: un análisis de datos panel en 73 países agrupados por nivel de ingreso”, El Trimestre Económico, 85 (2), núm. 338, pp. 341-364.
  42. Schmookler, Jacob (1966), Invention and Economic Growth, Harvard University Press, Cambridge, Mass.
  43. Schumpeter, Joseph Alois (1911), The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle, translated from the German, New Brunswick (USA) and London (UK).
  44. Shahbaz, Muhammad; Tang Chor Foon y Shabbir, Muhammad Shahbaz (2011), “Electricity Consumption and Economic Growth Nexus in Portugal Using Cointegration and Causality Approaches”, Energy Policy, 39 (6), pp. 3529-3536.
  45. Tang, Chor Foon y Tan, Eu Chye (2013), “Exploring the Nexus of Electricity Consumption, Economic Growth, Energy Prices and Technology Innovation in Malaysia”, Applied Energy, 104 (c), pp. 297-305.
  46. Yoo, Seung-Hoon (2005), “Electricity Consumption and Economic Growth: Evidence from Korea", Energy Policy, 33 (12), pp. 1627-1632.
  47. Yuan, Jia-Hai; Kang, Jian-Gang; Zhao, Chang-Hong y Hu, Zhao-Guang (2008), “Energy Consumption and Economic Growth: Evidence from China at both Aggregated and Disaggregated Levels”, Energy Economics, 30 (6), pp. 3077-3094.