Energy, Environment, and Economy Interactions in Iran with Cointegrated and ECM Simultaneous Model

Mohamad Taghvaee, Vahid and Seifi Aloo, Alireza and Khodaparast Shirazi, Jalil (2016): Energy, Environment, and Economy Interactions in Iran with Cointegrated and ECM Simultaneous Model. Published in: Procedia of Economics and Finance , Vol. 36, (2016): pp. 414-424.

Abstract

Nobody on the planet is going to be untouched by the impacts of climate change. This study aims to arrange the various socioeconomic elasticities of environmental pollution in order of priority, depending on the length of time period, to establish the most effective policy. We employed a simultaneous equations system to find out the various socioeconomic elasticities in the long run and short run in Iran during 1974-2012. Based on the results, per capita CO2 emissions, GDP, energy consumption show the strongest interactions (relationships and elasticities) in the equations system as a whole in the long run. Moreover, it is the trade openness, labour force, financial development, and urbanization which show the most decisive effects in the short run. So the effectiveness of the system variables depends on the time period. Trade openness, labour force, and financial development play the most leading role in the short run, notwithstanding their limited role in the long run. However, energy consumption elasticity of CO2 emissions and urbanization elasticity of energy consumption are among the largest elasticities both in short run and long run. Therefore, energy consumption, economic growth and urbanization should be reduced and financial sector should be grown to decrease the environmental pollution. Moreover, economic growth is an effective factor for the long run; and trade openness and financial development are effective for the short run but urbanization and energy consumption are influential for both the long run and short run policies.

• Item Type: MPRA Paper
• Language: English
• Keywords: Energy Consumption; Environmental Pollution; Economic Growth
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics

References

Al-Mulali, U., Saboori, B., Ozturk, I., 2015, Investigating the environmental Kuznets curve hypothesis in Vietnam, Energy Policy, 76, 123-131.

Baek, J., 2015, Environmental Kuznets curve for CO2 emissions: The case of Arctic countries, Energy Economics, 50, 13-17.

Central Bank of the Islamic Republic of Iran, 2014. Economic time series database, Economic Research and Policy Department. Available from: < http://tsd.cbi.ir/>

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(366), 427-431

Engel, R.F., Granger, C.W.J., 1987.Co-intergration and error correction: representation, estimation and testing. Econometrica 55, 251-276. http://dx.doi.org/10.2307/1913236

Ge, X., Li, Y., Luloff, A. E., Dong, K., Xiao, J., 2015, Effect of agricultureal economic growth on sandy desertification in Horqin Sandy Land, Ecological Economics, 119, 53-63

Grossman, G.M., Krueger A.B., 1991, Environmental Impact of a North American Free Trade Agreement, Working Paper 3914, National Bureau of Economic Research, Cambridge, MA.

Gujarati, D., (2004), “Basic Econometrics”, McGraw-Hill, 4th edition

Hao, Y., Zhang, Z., Liao, H., Wei, Y., 2015, China’s farewell to coal: a forecast of coal consumption through 2020, Energy Policy, 86, 444-455

Jalil, A., Feridun,M., 2011, The impact of growth, energy and financial development on the environment in China: a cointegration analysis, Energy Economics, 33, 284-291.

Lee, S. and Oh D., 2015, Economic growth and the environment in China: empirical evidence using prefecture level data, China Economic Review, accepted manuscript

Lotfalipour, M. R., Falahi M. A., Ashena M., 2010, Economic growth, CO2 emissions, and fossil fuels consumption in Iran, Energy, 35, 5115- 5120.

Omri, A., 2013, CO2 emissions, energy consumption and economic growth nexus in MENA countries: evidence from simultaneous equations model, Energy Economics, 40, 657-664.

Omri, A., 2014, Causal interactions between CO2 emissions, FDI, and economic growth: evidence from dynamic simultaneous-equation model, 42, 382-389.

Omri, A., Daly, S., Rault, C., Chaibi, A., 2015 Financial development, environmental quality, trade and economic growth: What causes what in MENA countries, Energy Economics, 48, 242-252.

Phillips, P. C. B., Perron, P., 1988, Testing for a unit root in time series regression, Biometrika, 75(2), 335-346.

Ren, S., Yuan, B., Ma, X., Chen, X., 2014, International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors,

Report of the Intergovernmental Panel on Climate Change (IPCC), Yokohama, Japan, 2014

Shahbaz, M., Solarin, S., Mahmood, H., Arouri, M., 2013, Does financial development reduce CO2 emissions in Malaysian economy? A time series analysis, Economic Modelling, 35, 145-152.

Taghvaee, V. and Hajiani, P., 2014, Price and income elasticities of gasoline demand in Iran: using static, ECM, and dynamic models in short, intermediate, and long run. Modern Economy, 5, 939-950. doi:10.4236/me.2014.59087.

Taghvaee, V. M., Hajiani, P., 2015, Environment, Energy, and Environmental Productivity of Energy: A Decomposition Analysis in China and the US, Second European Academic Research Conference on Global Business, Economics, Finance and Banking, Zurich, Switzerland.

Taghvaee, V.M., Parsa, H., 2015, Economic growth and environmental pollution in Iran: Evidence from manufacturing and services sectors, Custos e Agronegocio Online, 11(1), 115-127.

Taghvaee, V.M., Shirazi, J.K., 2014, “Analysis of the relationship between economic growth and environmental pollution in Iran (Evidence from three sections of land, water and atmosphere)”. Indian Journal of Scientific Research, 7(1), 31-42.

World Bank, 2014, World Development Indicators. Available at: <http://databank.worldbank.org/data/views/variableselection/selectvariables.a spx?source=world-development-indicators/>

Yale University Database, Environmental Performance Index. Available at: http://epi.yale.edu/