Impact of oil prices on CO2 emissions in Iraq: empirical methodology using ARDL versus NARDL methods
Keywords:
Oil prices, CO2 emissions, ARDLAbstract
The objective of this work is to evaluate the impact of increasing the taxation of petroleum products on economic activity in Iraq, CO2 emissions and household welfare. To this end, two methods, linear (ARDL) and non-linear (NARDL), were applied to the Iraqi economy, based on the period from 1970 to 2021. The results show that, among the various scenarios simulated, CO2 emissions have a greater ecological impact on petroleum products. The price of oil ensures both a reduction in CO2 emissions and an improvement in household welfare. This is due to the composition of macroeconomic variables, corresponding to an increase in the subsidy of this product.
References
Adigun, A. O.1 & Ogunleye, E. O., (2021). External shocks and macroeconomic performances in africa. International Journal of Economics, Commerce and Research (IJECR) ISSN (P): 2250–0006; ISSN (E): 2319–4472 Vol. 11, Issue 2, Dec 2021, 7-18 © TJPRC Pvt. Ltd. Paper Id.: IJECRDEC20212.
Banque mondiale, 2013. Rapport Annuel 2013. https://doi.org/10.1596/978-0-8213-9940-8.
Baumol, W. J. & Oates, W. E. &Bawa, V. S. &Bawa, W. S., & Bradford, D. F. (1988). Thetheory of environmental policy. Cambridge university press.
Belaud, G., Mateos, L., Aliod, R., Buisson, M. C., Faci, E., Gendre, S., ... & Zapata, N. (2020). Irrigation and energy: issues and challenges. Irrigation and Drainage, 69, 177-185. https://doi.org/10.1002/ird.2343
Bor, Y. J & Huang, Y. (2010).Energy taxation and the double dividend effect in Taiwan's energy conservation policy--an empirical study using a computable general equilibrium model. Energy Policy, Elsevier, vol. 38(5), pages 2086-2100, May. https://doi.org/10.1016/j.jpolmod.2017.11.002.
Breusch, T. S. & Godfrey, L.G. (1978) Misspecification Tests and Their Uses in Econometrics. Journal of Statistical Planning and Inference, 49, 241-260. https://doi.org/10.1016/0378-3758(95)00039-9.
Coase, R. H. (1960). The problem of social cost. In Classic papers in natural resourceeconomics (pp. 87-137). Palgrave Macmillan, London. https://doi.org/10.1057/9780230523210_6.
Daly, C., Neilson, R. P., & Phillips, D. L. (1994). A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology and Climatology, 33(2), 140-158. https://doi.org/10.1175/1520-0450(1994)033%3C0140:ASTMFM%3E2.0.CO;2
Devarajan, S &Delfin S & Go, S & Robinson, S. &Thierfelder, K. (2011).Tax Policy toReduce Carbon Emissions in a Distorted Economy: Illustrations from a South Africa CGE Model. The B.E. Journal of Economic Analysis & Policy: Vol. 11: Iss. 1(Topics), Article13. https://doi.org/10.2202/1935-1682.2376
Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica: journal of the Econometric Society, 1057-1072. https://doi.org/10.2307/1912517.
Durbin, J., & Watson, G. S. (1950). Testing for serial correlation in least squares regression: I. Biometrika, 37(3/4), 409-428. https://doi.org/10.2307/2332391
EEA, 2020b. Environment and climate pressures from household consumption in Europe.
Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: journal of the Econometric Society, 251-276. https://doi.org/10.2307/1913236
Eskeland, G.S. &Shantayanan, D.(1996). Taxing Bads by TaxingGoods. Directions in Development Series, Washington, D.C.: The World Bank.
Fattouh, B., & El-Katiri, L. (2013). Energy subsidies in the middle East and North Africa. Energy Strategy Reviews, 2(1), 108-115. https://doi.org/10.1016/j.esr.2012.11.004.
Faucheux, S., & O'Connor, M. (2003). Le capital naturel et la demande sociale pour les biens et les services. Quelles natures voulons-nous?, 86. ISBN 2-84299-454-X ISSN 1624-026X
Font Vivanco, D., Sala, S., & McDowall, W. (2018). Roadmap to rebound: how to address rebound effects from resource efficiency policy. Sustainability, 10(6), 2009. https://doi.org/10.3390/su10062009
GIEC or IPCC, 2018. Summary for Policymakers of IPCC Special Report on Global Warming of 1.5°C approved by governments.
Granger, C. W. (1981). Some properties of time series data and their use in econometric model specification. Journal of econometrics, 16(1), 121-130. https://doi.org/0165-7410/81/0000-0000/$02.50 0.
Granger, Clive W. J. and Yoon, Gawon, Hidden Cointegration (January 2002). U of California, Economics Working Paper No. 2002-02, Available at SSRN: https://ssrn.com/abstract=313831 or http://dx.doi.org/10.2139/ssrn.313831.
Jarque, C.M. and Bera, A.K. (1987) A Test for Normality of Observations and Regression Residuals. International Statistical Review, 55, 163-172. http://dx.doi.org/10.2307/1403192.
Johansen, S. (1988) Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics and Control, 12, 231-254. http://dx.doi.org/10.1016/0165-1889(88)90041-3.
Johansen, S. (1991) Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59, 1551-1580. http://dx.doi.org/10.2307/2938278.
Katrakilidis, C., & Trachanas, E. (2012). What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration. Economic Modelling, 29(4), 1064-1069. https://doi.org/10.1016/j.econmod.2012.03.029.
Lahn, G., & Stevens, P. (2011). Burning Oil to Keep Cool. The Hidden Energy Crisis in Saudi Arabia. The Royal Institute of International Affairs. London: Chatham House. http://www.chathamhouse.org/sites/files/chathamhouse/public/Research/Energy,%20Environment%20and%20Development/1211pr_lahn_stevens.pdf
Lee, T. (2016). Wild bootstrap Ljung–Box test for cross correlations of multivariate time series. Economics Letters, 147, 59-62. https://doi.org/10.1016/j.econlet.2016.08.015
Ljung, G. M., & Box, G. E. (1979). The likelihood function of stationary autoregressive-moving average models. Biometrika, 66(2), 265-270. https://doi.org/10.1093/biomet/66.2.265
McDougall, G. J., Morrison, I. M., Stewart, D., Weyers, J. D. B., & Hillman, J. R. (1993). Plant fibres: botany, chemistry and processing for industrial use. Journal of the Science of Food and Agriculture, 62(1), 1-20. https://doi.org/10.1002/jsfa.2740620102
McLeod, A. I., & Li, W. K. (1983). Diagnostic checking ARMA time series models using squared‐residual autocorrelations. Journal of time series analysis, 4(4), 269-273. https://doi.org/10.1111/j.1467-9892.1983.tb00373.x
Mezher, T., Fath, H., Abbas, Z., & Khaled, A. (2011). Techno-economic assessment and environmental impacts of desalination technologies. Desalination, 266(1-3), 263-273. https://doi.org/10.1016/j.desal.2010.08.035
Nong, H. N., Reier, T., Oh, H. S., Gliech, M., Paciok, P., Vu, T. H. T., ... & Strasser, P. (2018). A unique oxygen ligand environment facilitates water oxidation in hole-doped IrNiO x core–shell electrocatalysts. Nature Catalysis, 1(11), 841-851. https://doi.org/10.1038/s41929-018-0153-y
Olamide, E., Ogujiuba, K., & Maredza, A. (2022). Exchange rate volatility, inflation and economic growth in developing countries: Panel data approach for SADC. Economies, 10(3), 67. https://doi.org/10.3390/economies10030067.
Peng, S., Ding, Y., Liu, W., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11(4), 1931-1946. https://doi.org/10.5194/essd-11-1931.
Perron, P. (1997). L’estimation de modeles avec changements structurels multiples. L'Actualité économique, 73(1), 457-505. https://doi.org/10.7202/602236ar.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of applied econometrics, 16(3), 289-326. https://doi.org/10.1002/jae.616.
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American statistical Association, 94(446), 621-634. https://doi.org/10.1080/01621459.1999.10474156.
Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. biometrika, 75(2), 335-346. https://doi.org/10.1093/biomet/75.2.335.
Pigou, A. C. (1929). Economics of welfare. London: Macmillan.
Pindyck, R. S. (2020). COVID-19 and the welfare effects of reducing contagion (No. w27121). National Bureau of Economic Research https://doi.org/10.3386/w27121.
Poudineh, R., Peng, D., & Mirnezami, S. R. (2020). Innovation in regulated electricity networks: Incentivising tasks with highly uncertain outcomes. Competition and Regulation in Network Industries, 21(2), 166-192. https://doi.org/10.1177/1783591720906582.
Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society Series B: Statistical Methodology, 31(2), 350-371. https://doi.org/10.1111/j.2517-6161.1969.tb00796.x.
Romilly, P., Song, H., & Liu, X. (2001). Car ownership and use in Britain: a comparison of the empirical results of alternative cointegration estimation methods and forecasts. Applied economics, 33(14), 1803-1818. https://doi.org/10.1080/00036840011021708.
Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. Festschrift in honor of Peter Schmidt: Econometric methods and applications, 281-314. https://doi.org/10.1038/s41477-021-00976-0.
Sobola, D., Ţălu, Ş., Solaymani, S., & Grmela, L. (2017). Influence of scanning rate on quality of AFM image: Study of surface statistical metrics. Microscopy Research and Technique, 80(12), 1328-1336. https://doi.org/10.1002/jemt.22945.
Sundqvist, G., Stenvall, M., Berglund, H., Ottosson, J., & Brumer, H. (2007). A general, robust method for the quality control of intact proteins using LC–ESI-MS. Journal of Chromatography B, 852(1-2), 188-194. https://doi.org/10.1016/j.jchromb.2007.01.011.
Tri, P. V.&Widodo, T. (2019). Applying Tax Rate of 33,33on Primary Energy in Indonesia. MPRA Paper, University Library of Munich, Germany
Von Weizsacker, E. U., Hargroves, C., Smith, M. H., Desha, C., & Stasinopoulos, P. (2009). Factor five: Transforming the global economy through 80% improvements in resource productivity. Routledge.
Watson, G. S., & Durbin, J. (1951). Exact tests of serial correlation using noncircular statistics. The Annals of Mathematical Statistics, 446-451. http://www.jstor.org/stable/2236632.
Yahoo, M. &Otman, J. (2017). Carbon and energy taxation for CO2mitigation: a CGE model of the Malaysia. Environment, Development andSustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development. Springer, vol. 19(1), 239-262, February. https://doi.org/10.1007/s10668-015-9725-z.
Zivot, E., and D.W.K. Andrews, 1992. Further Evidence on the Great Crash, the Oil-Price Shock and the Unit-Root Hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270. https://doi.org/10.2307/1391541.
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