Gurgul, Henryk and Lach, Łukasz (2011): The role of coal consumption in the economic growth of the Polish economy in transition. Published in: Energy Policy , Vol. 39, (2011): pp. 2088-2099.
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Abstract
The main goal of this paper is an analysis of the causal links between quarterly coal consumption in the Polish economy and GDP. For the sake of accurate computation an additional variable – employment – was also taken into account. Computations conducted for the period Q1 2000 to Q4 2009 by means of recent causality techniques confirmed the neutrality of hard coal usage with respect to economic growth. On the other hand, calculations for the pairs lignite–GDP and total coal consumption–GDP showed the existence of a significant nonlinear causality from coal usage to economic growth. This is clear evidence for claiming that lignite plays an important role in the economic growth of the Polish economy. Furthermore, each coal–related variable was found to have a nonlinear causal impact on employment. Because of the relatively short length of available time series we additionally applied bootstrap critical values. The empirical results computed by both methods did not exhibit significant differences. These results have important policy implications. In general, our findings support the hypothesis that closing hard coal mines in Poland should have no significant repercussions on economic growth. However, this does not seem to be true for lignite mines.
Item Type: | MPRA Paper |
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Original Title: | The role of coal consumption in the economic growth of the Polish economy in transition |
Language: | English |
Keywords: | energy consumption, economic growth, Granger causality |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O10 - General O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O40 - General |
Item ID: | 52235 |
Depositing User: | Dr Łukasz Lach |
Date Deposited: | 16 Dec 2013 14:52 |
Last Modified: | 26 Sep 2019 09:41 |
References: | 1. Agiakoglu, C., Newbold, P., 1992. Empirical Evidence on Dickey–Fuller Type Tests. Journal of Time Series Analysis, 13, 471–483. 2. Akarca, A.T., Long, T.V., 1979. Energy and employment: a time–series analysis of the causal relationship. Resources and Energy, 2, 151–162. 3. Ambapour, S., Massamba, C. 2005. Croissance économique et consommation d'énergie au Congo: une analyse en termes de causalité. BAMSI–Brazaville, avalaible at http://www.cnsee.org/Publication/PDF/BAMSI12.pdf. 4. Andrews, D.W.K., Buchinsky, M., 2000. A Three–Step Method for Choosing the Number of Bootstrap Repetitions. Econometrica, 68, 23–52. 5. Asafu–Adjaye J., 2000. The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries. Energy Economics, 22, 615–625. 6. Baek E., Brock, W., 1992. A general test for Granger causality: Bivariate model. Technical Report, Iowa State University and University of Wisconsin, Madison. 7. Brock, W., 1991. Causality, chaos, explanation and prediction in economics and finance, in: Casti, J., Karlqvist, A. (Eds.), Beyond Belief: Randomness, Prediction and Explanation in Science. CRC Press, Boca Raton, Fla., pp. 230–279. 8. Chang, T., Fang, W., Wen, L.F., 2001. Energy consumption, employment, output, and temporal causality: evidence from Taiwan based on cointegration and error–correction modelling techniques. Applied Economics 33, 1045–1056. 9. Chen, A.S., Lin, J.W., 2004. Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract. Applied Economics, 36, 1157–1167. 10. Cheng, B.S., 1995. An Investigation of Co–Integration and Causality between Energy Consumption and Economic Growth. The Journal of Energy and Development, 21, 73–84. 11. Cheng, B.S., 1997. Energy Consumption and Economic Growth in Brazil, Mexico and Venezuela: A Time Series Analysis. Applied Economics Letters, 4, 671–674. 12. Cheng, J.C., Taylor, L.W., Weng, W., 2007. Exchange rates and prices: revisiting Granger causality tests. Journal of Post Keynesian Economics, 29, 259–283. 13. Chou, P.H., Zhou, G., 2006. Using Bootstrap to Test Portfolio Efficiency. Annals of Economics and Finance, 2, 217–249. 14. Davison, A.C., Hinkley, D.V., 1999. Bootstrap Methods and Their Application. Cambridge University Press, Cambridge. 15. Dickey, D.A., Fuller, W.A., 1979. Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, 74, 427-431. 16. Diks, C.G.H., DeGoede, J., 2001. A general nonparametric bootstrap test for Granger causality, in: Broer, H.W., Krauskopf, W., Vegter, G. (Eds.), Global analysis of dynamical systems. Institute of Physics Publishing, Bristol, United Kingdom, pp. 391–403. 17. Diks, C.G.H., Panchenko, V., 2005. A note on the Hiemstra–Jones test for Granger non–causality. Studies in Nonlinear Dynamics and Econometrics, 9, No. 2, Article 4. 18. Diks, C.G.H., Panchenko, V., 2006. A new statistic and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics and Control, 30, 1647–1669. 19. Dolado, J.J., Lütkepohl, H., 1996. Making Wald tests work for cointegrated VAR systems. Econometric Reviews, 15, 369–386. 20. Fatai, K., Oxley, L., Scrimgeour, F.G., 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, 431–445. 21. Gelo, T., 2009. Causality between economic growth and energy consumption in Croatia. Journal of Economics and Business, Proceedings of Rijeka Faculty of Economics, 27, 327–348. 22. Glasure, Y.U., Lee, A.R., 1997. Cointegration, error–correction, and the relationship between GDP and electricity: the case of South Korea and Singapore. Resource and Energy Economics, 20, 17–25. 23. Granger, C.W.J., 1969. Investigating causal relations by econometric models and cross spectral methods. Econometrica, 37, 424–438. 24. Granger, C.W.J., 1988. Some recent developments in the concept of causality. Journal of Econometrics, 39, 199–211. 25. Granger, C.W.J., Huang, B., Yang, C., 2000. A bivariate causality between stock prices and exchange rates: evidence from recent Asian Flu. The Quarterly Review of Economics and Finance, 40, 337–354. 26. Granger, C.W.J., Newbold, P., 1974. Spurious regression in econometrics. Journal of Econometrics, 2, 111–120. 27. Gurgul, H., Lach, Ł., 2009. Linear versus nonlinear causality of DAX companies. Operations Research and Decisions, 3, 27–46. 28. Gurgul, H., Lach, Ł., 2010. The causal link between Polish stock market and key macroeconomic aggregates. Betriebswirtschaftliche Forschung und Praxis, 4, 367–383. 29. Hacker, R.S., Hatemi–J, A., 2006. Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application. Applied Economics, 38, 1489–1500. 30. Hiemstra, C., Jones, J.D., 1994. Testing for linear and nonlinear Granger causality in the stock price–volume relation. Journal of Finance, 49, 1639–1664. 31. Horowitz, J.L., 1995. Bootstrap methods in econometrics: Theory and numerical performance, in: Kreps, D.M., Wallis, K.F. (Eds.), Advances in Economics and Econometrics: Theory and Applications. Cambridge University Press, Cambridge, pp. 188–232. 32. Johansen, S., 1995. Likelihood–based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press, Oxford. 33. Jumbe, C.B.L., 2004. Cointegration and causality between electricity consumption and GDP: empirical evidence from Malawi. Energy Economics, 26, 61–68. 34. Keho, Y., 2007. Causal relationship between energy consumption and GDP: An empirical analysis of five West African countries. The Journal of Energy and Development, 33, 23–32. 35. Keppler, J.H., 2007. Causality and Cointegration between Energy Consumption and Economic Growth in Developing Countries, in: Keppler, J.H., Bourbonnais, R., Girod, J. (Eds.), The Econometrics of Energy Systems. Palgrave Macmillan, New York, pp. 75–97. 36. Kraft, J., Kraft. A., 1978. On the relationship between energy and GNP. The Journal of Energy and Development, 3, 401–403. 37. Kwiatkowski, D., Phillips, P.C.B., Schmidt P., Shin, Y., 1992. Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root. Journal of Econometrics, 54, 159–178. 38. Lach, Ł., 2010. Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems. Managing Global Transitions, 8, 167–186. 39. Lee, C., 2005. Energy Consumption and GDP in Developing Countries: A Cointegrated Panel Analysis. Energy Economics, 27, 415–427. 40. Lütkepohl, H., 1993. Introduction to Multiple Time Series Analysis, second ed. Springer–Verlag, New York. 41. MacKinnon, J.G., Haug, A.A., Michelis, L., 1999. Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration. Journal of Applied Econometrics, 14, 563–577. 42. Mansfield, E., 1991. Microeconomics: Theory and application. Norton&Company, Inc., New York. 43. Masih, A.M.M., Masih, R., 1996. Energy consumption, real income and temporal causality: results from a multi–country study based on cointegration and error–correction modelling techniques. Energy Economics, 18, 165–183. 44. Masih, A.M.M., Masih, R., 1998. A multivariate cointegrated modelling approach in testing temporal causality between energy consumption, real income and prices with an application to two Asian LDCs. Applied Economics, 30, 1287–1298. 45. Morimoto, R., Hope, C., 2004. The Impact of Electricity Supply on Economic Growth in Sri Lanka. Energy Economics, 26, 77–85 46. Oh, W., Lee, K., 2004. Causal relationship between energy consumption and GDP revisited: the case of Korea 1970–1999. Energy Economics, 26, 51–59. 47. Osterwald–Lenum, M., 1992. A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics. Oxford Bulletin of Economics and Statistics, 54, 461–472. 48. Paul, S., Bhattacharya, R.N., 2004. Causality between Energy Consumption and Economic Growth in India: A Note on Conflicting Results. Energy Economics, 26, 977–983 49. Paulsen, J., 1984. Order determination of multivariate autoregressive time series with unit roots. Journal of Time Series Analysis, 5, 115–127. 50. Payne, J.E., 2009. Energy consumption and employment. The Journal of Regional Analysis & Policy, 39, 126–130. 51. Phillips, P.C.B, Perron, P., 1988. Testing for a Unit Root in Time Series Regression. Biometrika, 75, 335–346. 52. Phillips, P.C.B., 1986. Understanding the spurious regression in econometrics. Journal of Econometrics, 33, 311–340. 53. Said, S.E., Dickey, D.A., 1984. Testing for Unit Roots in Autoregressive-Moving Average Models of Unknown Order. Biometrika, 71, 599–607. 54. Shephard, R. 1970. Theory of cost and production functions. Princeton University Press, Princeton, New York. 55. Skaug, H.J., Tjøstheim, D., 1993. Nonparametric tests of serial independence, in: Subba Rao, T. (Ed.), Developments in Time Series Analysis. Chapman and Hall, London , pp. 207–229. 56. Soytas, U., Sari, R., 2003. Energy consumption and GDP: causality relationship in G–7 countries and emerging markets. Energy Economics, 26, 33–37. 57. Stern, D.I., 1993. Energy and growth in the USA. A multivariate approach. Energy Economics, 15, 137–150. 58. Stern, D.I., 2000. A Multivariate Co–Integration Analysis of the Role of Energy in the US Macro Economy. Energy Economics, 62, 540–552. 59. Takayama, A. 1985. Mathematical economics. Cambridge University Press. 60. Toda, H.Y., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66, 225–250. 61. Yang, H.Y., 2000. A note on the causal relationship between energy and GDP in Taiwan. Energy Economics, 22, 309–317. 62. Yu, E., Choi, J., 1985. The causal relationship between energy and GDP, an international comparison. The Journal of Energy and Development, 10, 249–272. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/52235 |