Indian Journal of Economics and Development

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On CO2 Emissions and Major Macroeconomic Variables:A Var Model; Case of China, India, Pakistan and Sri Lanka


Affiliations
1 Department of Economics, Scottish Church College, 1&3 Urquhart Square, West Bengal-700006, India
 

Objectives: This paper investigates the association between carbon dioxide emanations, energy utilization, real gross domestic product, trade, financial development and urbanisation in an econometric time series model.

Methods: The statistical specification is -Test of stationarity of data. Testing the existence of cointegrating relation. Finding an error correction model. Finally for robust results the study employs impulse response function and vari-ance decomposition method .The impulse response function traces the responsiveness of the endogenous variables to shocks to each of the other exogenous variables over a certain period of timeThe software used is STATA (12).

Findings: Gross Domestic product and energy consumption continues to be the explanatory variables for carbon emissions in the Asian region. The coefficient of gross domestic product is a positve and statistically signficant for all countries ; so growth of income leads to environmental degradation proxied by carbon emissions. For India the bulk of the shock of the dependent variable is due to improvement in gross domestic product and trade openness. For Pakistan the bulk of the shock in the dependent variable is on account of gross domestic product, energy utilization. In the long run, the countries need to embrace more energy conservation policies no matter what the directional approach in the short run may be. The contribution of the current paper is to assess the short and long run equilibrium association of carbon emanations, economic expansion, energy use, urban development and trade for India, Sri Lanka, Pakistan and China under a Vector Error Correction Model.

Improvements: The study contributes in examining the dynamics of short run association among the variables; to explore the presence of long term equilibrium relation, to capture the linear dependencies among the variables under study and to test the responsiveness to shocks in the system.


Keywords

Time Series, Vector Error Correction Model, Impulse Response Function, India, South Asia.
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  • Trends in global CO2 emissions. Report http://edgar.jrc.ec.europa.eu/news_docs/jrc-2015-trends-in-global-co2-emissions-2015-report-98184.pdf. Date accessed: 9/2/2017

  • Farhani, Sahbi, Anissa Chaibi, and Christophe Rault. CO2 emissions, output, energy consumption, and trade in Tunisia. Economic Modelling. 2014; 38, 426-434.

  • Zhang, Yue-Jun. The impact of financial development on carbon emissions: An empirical analysis in China. Energy Policy. 2011; 39(4), 2197-2203.

  • Heil T. Mark, Thomas M. Selden.International trade intensity and carbon emissions: a cross-country econometric analysis. The Journal of Environment & Development.2001; 10(1), 35-49.

  • Dinda, Soumyananda, Dipankor Coondoo. Income and emission: a panel data-based cointegration analysis. Ecological Economics. 2006; 57(2), 167-181.

  • Tamazian Artur, B. Bhaskara Rao.Do economic, financial and institutional developments matter for environmental degradation? Evidence from transitional economies. Energy Economics. 2010; 32(1), 137-145.

  • He Jie,Patrick Richard. Environmental kuznets curve for CO 2 in Canada. Ecological Economics. 2010; 69(5),1083-1093.

  • Lean, Hooi Hooi, Russell Smyth. CO 2 emissions, electricity consumption and output in ASEAN. Applied Energy. 2010; 87(6), 1858-1864.

  • Lau Lin-Sea, Chee-Keong Choong, Yoke-Kee Eng.Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: Do foreign direct investment and trade matter? Energy Policy. 2014; 68, 490-497.

  • Yavuz, N. Çil.CO2 emission, energy consumption, and economic growth for Turkey: evidence from a cointegration test with a structural break. Energy Sources, Part B: Economics, Planning, and Policy.2014; 9(3), 229-235.

  • Osabuohien, Evans S, Uchenna R. Efobi, Ciliaka Millicent W. Gitau .Beyond the environmental Kuznets curve in Africa: evidence from panel cointegration. Journal of Environmental Policy & Planning.2014; 16(4), 517-538.

  • Al-mulali, Usama, Janice YM Lee, Abdul Hakim Mohammed, Low Sheau-Ting. Examining the link between energy consumption, carbon dioxide emission, and economic growth in Latin America and the Caribbean. Renewable and Sustainable Energy Reviews. 2013; 26, 42-48.

  • Omri Anis, Saida Daly, Christophe Rault, Anissa Chaibi. Financial development, environmental quality, trade and economic growth: What causes what in MENA countries. Energy Economics. 2015; 48, 242-252.

  • Ziaei, Sayyed Mahdi.Effects of financial development indicators on energy consumption and CO2 emission of European, East Asian and Oceania countries. Renewable and Sustainable Energy Reviews.2015; 42, 752-759.

  • Cheng Benjamin S, Tin Wei Lai. An investigation of co-integration and causality between energy consumption and economic activity in Taiwan. Energy economics. 1997; 19(4), 435-444.

  • Yu, S.H. Eden, Been-Kwei Hwang. The relationship between energy and economic growth in Korea. Applied Energy. 1984; 83, 1181-1189.

  • Erol Umit, S.H. Eden Yu.On the causal relationship between energy and income for industrialized countries. Journal of energy and development. 1987; 13(1), 113-122.

  • Stern, David.A multivariate cointegration analysis of the role of energy in the US macroeconomy. Energy Economics. 2000; 22(2), 267-283.

  • Payne, James. On the dynamics of energy consumption and output in the US. Applied Energy. 2009; 86(4), 575-577.

  • Asafu-Adjaye, John.The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries.Energy economics.2000; 22(6), 615-625.

  • Masih, Abul, Rumi Masih.On the temporal causal relationship between energy consumption, real income, and prices: some new evidence from Asian-energy dependent NICs based on a multivariate cointegration/vector error-correction approach. Journal of policy modeling. 1997; 19(4), 417-440.

  • Glasure, Yong. Energy and national income in Korea: further evidence on the role of omitted variables. Energy economics. 2002;24(4), 355-365.

  • Glasure Yong, Aie-Rie Lee. Cointegration, error-correction, and the relationship between GDP and energy: The case of South Korea and Singapore. Resource and Energy Economics. 1998; 20(1), 17-25.

  • Cheng Benjamin, Tin Wei Lai. An investigation of co-integration and causality between energy consumption and economic activity in Taiwan. Energy economics. 1997; 19(4), 435-444.

  • Cheng, Benjamin. Energy consumption, employment and causality in Japan: a multivariate approach. Indian Economic Review.1998; 2(4),19-29.

  • Soytas Ugur, Ramazan Sari. Energy consumption and GDP: causality relationship in G-7 countries and emerging markets. Energy economics. 2003; 25(1), 33-37.

  • Narayan, Paresh Kumar, Russell Smyth. Energy consumption and real GDP in G7 countries: new evidence from panel cointegration with structural breaks. Energy Economics. 2008;30(5), 2331-2341.

  • Yu, S.H. Eden, Been-Kwei Hwang. The relationship between energy and economic growth in Korea. Applied Energy. 1984; 83, 1181-1189.

  • Narayan, Paresh Kumar, Baljeet Singh. The electricity consumption and GDP nexus for the Fiji Islands. Energy Economics. 2007; 29(6), 1141-1150.

  • Masih Abul, Rumi Masih. Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques. Energy Economics. 1996;18(3), 165-183.

  • Asafu-Adjaye, John. The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries.Energy economics.2000; 22(6), 615-625.

  • Yang, Hao-Yen. A note on the causal relationship between energy and GDP in Taiwan. Energy Economics. 2000; 22(3), 309-317.

  • Altinay Galip, Erdal Karagol. Electricity consumption and economic growth: evidence from Turkey.Energy Economics.2005; 27(6), 849-856.

  • Soytas Ugur, Ramazan Sari. Energy consumption and GDP: causality relationship in G-7 countries and emerging markets. Energy Economics. 2003; 25(1), 33-37.

  • Morimoto Risako, Chris Hope. The impact of electricity supply on economic growth in Sri Lanka. Energy Economics. 2004; 26(1), 77-85.

  • Squalli, Jay.Electricity consumption and economic growth: Bounds and causality analyses of OPEC members. Energy Economics.2007; 29(6), 1192-1205.

  • Andersson Roland, John Quigley, Mats Wilhelmsson. Urbanization, productivity, and innovation: Evidence from investment in higher education.Journal of Urban Economics.2009;66(1), 2-15.

  • Farhani Sahbi, Ilhan Ozturk.Causal relationship between CO2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environmental Science and Pollution Research. 2015; 22(20), 15663-15676.

  • Shahbaz Muhammad, Nanthakumar Loganathan, Mohammad Zeshan, Khalid Zaman. Does renewable energy consumption add in economic growth? An application of auto-regressive distributed lag model in Pakistan. Renewable and Sustainable Energy Reviews.2015; 44, 576-585.

  • Al-Mulali Usama, Behnaz Saboori, Ilhan Ozturk. Investigating the environmental Kuznets curve hypothesis in Vietnam. Energy Policy. 2015; 76,123-131.

  • Komal Rabia, Faisal Abbas. Linking financial development, economic growth and energy consumption in Pakistan. Renewable and SustainableEnergy Reviews. 2015; 44, 211-220.

  • Sharma, Susan Sunila.Determinants of carbon dioxide emissions: empirical evidence from 69 countries. Applied Energy.2011; 88(1), 376-382.

  • Kasman Adnan, Yavuz Selman Duman.CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: a panel data analysis.Economic Modelling.2015; 44, 97-103.

  • Dogan Eyup, Berna Turkekul.CO2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environmental Science and Pollution Research. 2016; 23(2), 1203-1213.

  • Shahbaz Muhammad, Chor Foon Tang, Muhammad Shahbaz Shabbir. Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches. Energy Policy.2011; 39(6), 3529-3536.

  • Uddin, Md Gazi Salah, Sayema Haque Bidisha, Ilhan Ozturk.Carbon emissions, energy consumption, and economic growth relationship in Sri Lanka. Energy Sources, Part B: Economics, Planning, and Policy. 2016; 11(3), 282-287.

  • Naranpanawa Athula, Jayatilleke S. Bandara, Saroja Selvanathan.Trade and poverty nexus: A case study of Sri Lanka. Journal of Policy Modeling. 2011; 33(2), 328-346.

  • Asumadu-Sarkodie Samuel, Phebe Asantewaa Owusu.Energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population, a causal nexus in Sri Lanka: With a subsequent prediction of energy use using neural network. Economics, Planning, and Policy. 2016; 11(9), 889-899.

  • Pao Hsiao-Tien, Chung-Ming Tsai. Multivariate Granger causality between CO 2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): evidence from a panel of BRIC (Brazil, Russian Federation, India, and China) countries. Energy. 2011; 36(1), 685-693.

  • Pao, Hsiao-Tien, Chung-Ming Tsai. CO 2 emissions, energy consumption and economic growth in BRIC countries. Energy Policy.2010; 38(12), 7850-7860.

  • P. Srinivasan, Inder Siddanth Ravindra. Causality among Energy Consumption, CO2 Emission, Economic Growth and Trade A Case of India. Foreign Trade Review. 2015; 50(3), 168-189.

  • Ghosh, Sajal. Examining carbon emissions economic growth nexus for India: a multivariate cointegration approach. Energy Policy. 2010; 38(6), 3008-3014.

  • Boutabba, Mohamed Amine. The impact of financial development, income, energy and trade on carbon emissions: evidence from the Indian economy. Economic Modelling. 2014;40, 33-41.

  • Ozturk Ilhan, Gazi Salah Uddin.Causality among carbon emissions, energy consumption and growth in India. Ekonomska istraživanja. 2012;25(3),752-775.

  • Tiwari, Aviral Kumar, Muhammad Shahbaz, Qazi Muhammad Adnan Hye. The environmental Kuznets curve and the role of coal consumption in India: cointegration and causality analysis in an open economy. Renewable and Sustainable Energy Reviews.2013; 18, 519-527.

  • Zhang, Yue-Jun. The impact of financial development on carbon emissions: An empirical analysis in China. Energy Policy. 2011; 39(4), 2197-2203.

  • Tan, Yongtang China’s financial development and economic growth: an empirical analysis. Journal of economic research. 1999; 10, 53-61.

  • Zhou Haowen, Zhong Yonghong. China’s financial intermediation development and regional economic growth: a multivariate VAR system analysis. Journal of financial research. 2004; 6, 130-137.

  • Sadorsky, Perry. Financial development and energy consumption in Central and Eastern European frontier economies.Energy Policy. 2011; 39(2), 999-1006.

  • Jayanthakumaran Kankesu, Reetu Verma, Ying Liu. CO2 emissions, energy consumption, trade and income: a comparative analysis of China and India. Energy Policy.2012; 42, 450-460.

  • World Development Indicators.http://data.worldbank.org. Date accessed: 9/2/2017.

  • A. D. David, W.A. Fuller. Distribution of the estimators for autoregressive time series with a unit ischolar_main. Journal of the American statistical association. 1979; 74(366a),427-431.

  • A. D. David, W.A. Fuller. Likelihood ratio statistics for autoregressive time series with a unit ischolar_main. Econometrica: Journal of the Econometric Society.1981;49(4), 1057-1072.

  • Granger, W.J. Clive. Some recent development in a concept of causality. Journal of econometrics.1988; 39(1), 199-211.

  • Johansen Søren, Katarina Juselius .Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and statistics.1990; 52(2), 169-210.

  • E.F. Robert, W.J.C. Granger. Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society.1987; 55(2), 251-276.

  • T.Y. Hiro, Peter CB Phillips. Vector autoregressions and causality. Econometrica: Journal of the Econometric Society .1993; 61(6), 1367-1993.


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  • On CO2 Emissions and Major Macroeconomic Variables:A Var Model; Case of China, India, Pakistan and Sri Lanka

Abstract Views: 307  |  PDF Views: 147

Authors

Sudeshna Ghosh
Department of Economics, Scottish Church College, 1&3 Urquhart Square, West Bengal-700006, India

Abstract


Objectives: This paper investigates the association between carbon dioxide emanations, energy utilization, real gross domestic product, trade, financial development and urbanisation in an econometric time series model.

Methods: The statistical specification is -Test of stationarity of data. Testing the existence of cointegrating relation. Finding an error correction model. Finally for robust results the study employs impulse response function and vari-ance decomposition method .The impulse response function traces the responsiveness of the endogenous variables to shocks to each of the other exogenous variables over a certain period of timeThe software used is STATA (12).

Findings: Gross Domestic product and energy consumption continues to be the explanatory variables for carbon emissions in the Asian region. The coefficient of gross domestic product is a positve and statistically signficant for all countries ; so growth of income leads to environmental degradation proxied by carbon emissions. For India the bulk of the shock of the dependent variable is due to improvement in gross domestic product and trade openness. For Pakistan the bulk of the shock in the dependent variable is on account of gross domestic product, energy utilization. In the long run, the countries need to embrace more energy conservation policies no matter what the directional approach in the short run may be. The contribution of the current paper is to assess the short and long run equilibrium association of carbon emanations, economic expansion, energy use, urban development and trade for India, Sri Lanka, Pakistan and China under a Vector Error Correction Model.

Improvements: The study contributes in examining the dynamics of short run association among the variables; to explore the presence of long term equilibrium relation, to capture the linear dependencies among the variables under study and to test the responsiveness to shocks in the system.


Keywords


Time Series, Vector Error Correction Model, Impulse Response Function, India, South Asia.

References