Ben Jebli, Mehdi (2015): The Impact of Combustible Renewables and Waste Consumption and Transport on the Environmental Degradation: The Case of Tunisia.
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Abstract
This study investigates the dynamic causal links between carbon dioxide (CO2) emissions, real Gross Domestic Product (GDP), combustible renewables and waste consumption, and maritime and rail transport in Tunisia spanning the period 1980-2011. The autoregressive distributed lag (ARDL) approach and Granger causality tests are employed to examine the short- and long-run relationships between variables. The empirical results suggest a bidirectional short-run causality between CO2 emissions and maritime transport, and a unidirectional causality running from real GDP, combustible renewables and waste consumption, rail transport to CO2 emissions. The long-run estimates reveal that real GDP contributes to the decrease of CO2 emissions, while combustible renewables and waste consumption and maritime and rail transport have a positive impact on emissions. Our policy recommendation is that Tunisia should use more combustible renewables and waste energy and increase the number of passenger’s rail and maritime transport in order to motivate economic activities. However, the level of renewable energy required to reduce emissions caused by transport sector still very weak.
Item Type: | MPRA Paper |
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Original Title: | The Impact of Combustible Renewables and Waste Consumption and Transport on the Environmental Degradation: The Case of Tunisia |
Language: | English |
Keywords: | Combustible renewables and waste; Transport; Autoregressive distributed lag model; Cointegration; Granger causality; Tunisia. |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C55 - Large Data Sets: Modeling and Analysis L - Industrial Organization > L9 - Industry Studies: Transportation and Utilities |
Item ID: | 68038 |
Depositing User: | Mehdi Ben Jebli |
Date Deposited: | 25 Nov 2015 14:29 |
Last Modified: | 07 Oct 2019 16:31 |
References: | Al-Mulali, U., Saboori, B., Ozturk, I., 2015. Investigating the environmental Kuznets curve hypothesis in Vietnam. Energy Policy, 76, 123-131. Apergis, N., Payne, JE., 2010a. Renewable energy consumption and economic growth evidence from a panel of OECD countries. Energy Policy, 38, 656–660. Apergis, N., Payne, JE., 2010b. Renewable energy consumption and growth in Eurasia. Energy Economics, 32, 1392–1397. Apergis, N., Payne, JE., 2011. The renewable energy consumption-growth nexus in Central America. Applied Energy, 88, 343–347. Apergis, N., Payne, JE., Menyah, K., Wolde-Rufael, Y., 2010. On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth. Ecological Economics, 69, 2255–2260. Apergis, N., Payne, J.E., Menyah, K., Wolde-Rufael, Y., 2010. On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth. Ecological Economics, 69, 2255-2260. Ben Aïssa, M.S., Ben Jebli, M., Ben Youssef, S., 2014. Output, renewable energy consumption and trade in Africa. Energy Policy, 66, 11-18. Ben Jebli, M., Ben Youssef, S., 2015a. The environmental Kuznets curve, economic growth, renewable and non-renewable energy, and trade in Tunisia. Renewable and Sustainable Energy Reviews, 47, 173-185. Ben Jebli, M., Ben Youssef, S., 2015b. Economic growth, combustible renewables and waste consumption, and CO2 emissions in North Africa. Environmental Science and Pollution Research, 16022-16030. Ben, Jebli, M., Ben Youssef, S., 2015c. Output, renewable and non-renewable energy consumption and international trade: Evidence from a panel of 69 countries. Renewable Energy, 83, 799-808. Ben Jebli, M., Ben Youssef, S., Apergis, N., 2015a. The dynamic interaction between combustible renewables and waste consumption and international tourism: the case of Tunisia. Environmental Science and Pollution Research, 22, 12050-12061. Ben Jebli, M., Ben Youssef, S., Ozturk I., 2015b. The role of renewable energy consumption and trade: environmental Kuznets curve analysis for sub-Saharan Africa countries. African Development Review, 27, 288–300. Bilgili, F., Ozturk, I., 2015. Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data. Renewable and Sustainable Energy Reviews, 49, 132-138. Bilgili, F., Koçak, E., Bulut, Ü., 2016. The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838-845. Brown, R.L., Durbin, J., Evans, J.M., 1975. Techniques for testing the constancy of regression relations over time. Journal of the Royal Statistical Society, Series B, 37, 149–63. Chang, T., Gupta, R., Inglesi-Lotz, R., Simo-Kengne, B., Smithers, D., Trembling, A., 2015. Renewable energy and growth: Evidence from heterogeneous panel of G7 countries using Granger causality. Renewable and Sustainable Energy Reviews, 52, 1405-1412. Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH., 2014. Sector Project Transport Policy Advisory Services Dag-Hammarskjöld-Weg 1-5. 65760 Eschborn. EEA, 2011. Air Quality in Europe d 2011 Report. Technical Report No 12/2011. EEA, Copenhagen, p. 88. Engle, R.F., Granger C.W.J., 1987. Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55, 251-276. Rodrigue, J.P., 2013. THE GEOGRAPHY OF TRANSPORT SYSTEMS. New York: Routledge, 416 pages. Hansen, H., Johansen, S., 1993. Recursive estimation in cointegrated VAR models. Institute of mathematical statistics. University of Copenhagen, Copenhagen; preprint no.1. Liddle, B., 2009. Long-Run Relation among Transport Demand, Income, and Gasoline Price for the US. Transportation Research D: Transport and Environment, 14, 73-82. Liddle, B., 2012. The Systemic, Long-run Relation among Gasoline Demand, Gasoline Price, Income, and Vehicle Ownership in OECD Countries: Evidence from Panel Cointegration and Causality Modeling. Transportation Research D: Transport and Environment, 17, 327-331. Lund, H., Kempton, W., 2008. Integration of renewable energy into the transport and electricity sectors through V2G. Energy Policy, 36, 3578-3587. National Institute for Statistics, 2015. National Institute for Statistics of Tunisia. Accessed at: http://www.ins.nat.tn/. Ozturk, I., Bilgili, F., 2015. Economic growth and biomass consumption nexus: Dynamic panel analysis for Sub-Sahara African countries. Applied Energy, 137, 110-116. Pesaran, M.H., Pesaran, B., 1997. Working With Microfit 4.0: Interactive Econo- metric Analysis. Oxford University Press, Oxford. Pesaran, M.H., Shin, Y., Smith, R.J., 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289–326. Pesaran, M.H., Smith, R.P., 1998. Structural analysis of cointegrating VARs. Journal of Economic Survey, 12, 471–505. Shafiei, S., Salim, R.A., 2014. Non-renewable and renewable energy consumption and CO2emissions in OECD countries: A comparative analysis. Energy Policy, 66, 547-556. Sebri, M., Ben Salha, O., 2014. On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renewable and Sustainable Energy Reviews, 39, 14-23. SNCFT, 2015. La Société Nationale des Chemins de Fer Tunisiens. Accessed at : www.sncft.com.tn. International Renewable Energy Agency, 2015. Renewable Energy Options for Shipping. P.O. Box 236. Abu Dhabi, United Arab Emirates. Accessed at: http://www.irena.org/DocumentDownloads/Publications/IRENA_Tech_Brief_RE_for%20Shipping_2015.pdf International Union of Railways, 2008. Rail Transport and Environment Facts and Figures. Accessed at: http://www.uic.asso.fr. International Union of Railways, 2015. Rail Transport and Environment Facts and Figures. Accessed at: http://www.uic.asso.fr. Viana, M., Hammingh, P., Colette, A., Querol, X., Degraeuwe, B., Vleiger, I., Aardenne, J.V., 2014. Impact of maritime transport emissions on coastal air quality in Europe. Atmospheric Environment, 90, 96-105. World Bank, 2015. World Development Indicators. Accessed at: http://www.worldbank.org/data/onlinedatabases/onlinedatabases.html. Zhang, Y.J., Peng, H.R., Liu, Z., Tan, W., 2015. Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach. Energy Policy, 87, 303-313. Zivot, E., Andrews D., 1992. Further evidence of great crash, the oil price shock and the unit root hypothesis. Journal of Business and Economic statistics, 10, 251-270. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/68038 |