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Dynamic impact of household consumption on its CO2 emissions in Malaysia

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Abstract

This article aims to measure the dynamic impact of household consumption (final household consumption expenditure, LHC) on CO2 emission from household’s energy consumption in Malaysia from 1971 to 2010. The estimation of autoregressive distributed lag (ARDL) bounds test confirms a non-monotonic relationship between LHC and residential CO2 emission. In the long run, there is a positive relationship between LHC and CO2 emission as well as a negative relationship between quadratic forms of LHC and CO2 emission which indicates the existence of an inverted U-shaped relationship between these two variables. The analysis also found a similar relationship in both the short and long run. To confirm the non-monotonous relationship, the U test of Sasabuchi–Lind–Mehlum (2010) approach has followed to obtain the sufficient conditions for the existence of inverted U relationship. Moreover, the U test of Sasabuchi–Lind–Mehlum (2010) found that CO2 emission increases with increasing LHC up to 6.5 units, but it declines with an additional increase of LHC which is also found by the ARDL model. However, the existence of environmental Kuznets curve implies that in the long run, household CO2 emission declines with the additional increase of household consumption in the Malaysian economy.

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References

  • Al Mamun, M., Sohag, K., Hannan Mia, M. A., Salah Uddin, G., & Ozturk, I. (2014). Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth. Renewable and Sustainable Energy Reviews, 38, 1–11.

    Article  CAS  Google Scholar 

  • Ang, J. B. (2007). CO2 emissions, energy consumption, and output in France. Energy Policy, 35(10), 4772–4778.

    Article  Google Scholar 

  • Ang, J. B. (2008). Economic development, pollutant emissions and energy consumption in Malaysia. Journal of Policy Modeling, 30, 271–278.

    Article  Google Scholar 

  • Ang, J. B. (2010). Research, technological change and financial liberalization in South Korea. Journal of Macroeconomics, 32(1), 457–468.

    Article  Google Scholar 

  • Ang, J. B., & McKibbin, W. J. (2007). Financial liberalization, financial sector development and growth: evidence from Malaysia. Journal of Development Economics, 84(1), 215–233.

    Article  Google Scholar 

  • Banerjee, A., Dolado, J. J., Hendry, D. F., & Smith, G. W. (1986). Exploring equilibrium relationships in econometrics through static models: Some Monte Carlo evidence. Oxford Bulletin of Economics and Statistics, 48(3), 253–277.

  • Bin, S., & Dowlatabadi, H. (2005). Consumer lifestyle approach to US energy use and the related CO2 emissions. Energy Policy, 33(2), 197–208.

    Article  Google Scholar 

  • Caviglia-Harris, J. L., Chambers, D., & Kahn, J. R. (2009). Taking the “U” out of Kuznets: A comprehensive analysis of the EKC and environmental degradation. Ecological Economics, 68(4), 1149–1159.

    Article  Google Scholar 

  • Diao, X. D., Zeng, S. X., Tam, C. M., & Tam, V. W. (2009). EKC analysis for studying economic growth and environmental quality: A case study in China. Journal of Cleaner Production, 17(5), 541–548.

    Article  Google Scholar 

  • Dietz, S., & Adger, W. N. (2003). Economic growth, biodiversity loss and conservation effort. Journal of Environmental Management, 68(1), 23–35.

    Article  Google Scholar 

  • Ekins, P. (1997). The Kuznets curve for the environment and economic growth: Examining the evidence. Environment and planning a, 29(5), 805–830.

    Article  Google Scholar 

  • Fosten, J., Morley, B., & Taylor, T. (2012). Dynamic misspecification in the environmental Kuznets curve: Evidence from CO2 and SO2 emissions in the United Kingdom. Ecological Economics, 76, 25–33.

  • Fosu, O. A., & Magnus, F. J. (2006). Bounds testing approach to cointegration: An examination of foreign direct investment trade and growth relationships. American Journal of Applied Sciences, 3(11), 2079.

    Article  Google Scholar 

  • Galeotti, M. (2007). Economic growth and the quality of the environment: Taking stock. Environment, Development and Sustainability, 9(4), 427–454.

  • Gonzalo, J. (1994). Five alternative methods of estimating long-run equilibrium relationships. Journal of econometrics, 60(1), 203–233.

    Article  Google Scholar 

  • Grossman, G. M., & Krueger, A. B. (1991). Environmental impacts of a North American free trade agreement (No. w3914). National Bureau of Economic Research.

  • Grossman, G.M., & Krueger, A. B. (1995). Economic Growth and the Environment. The Quarterly Journal of Economics, 110(2), 353–37.

  • He, J., & Wang, H. (2012). Economic structure, development policy and environmental quality: An empirical analysis of environmental Kuznets curves with Chinese municipal data. Ecological Economics, 76, 49–59.

  • Holtz-Eakin, D., & Selden, T. M. (1995). Stoking the fires? CO2 emissions and economic growth. Journal of Public Economics, 57(1), 85–101.

    Article  Google Scholar 

  • Jargowsky, A. P. (2005). Omitted variable bias. Encyclopedia of Social Measurement, 2, 919–924.

    Article  Google Scholar 

  • Kaika, D., & Zervas, E. (2013). The environmental Kuznets curve (EKC) theory. Part B: Critical issues. Energy Policy, 62, 1403–1411.

    Article  Google Scholar 

  • Lind, J. T., & Mehlum, H. (2010). With or without u? the appropriate test for a U-shaped relationship. Oxford Bulletin of Economics and Statistics, 72(1), 109–118.

    Article  Google Scholar 

  • Mankiw, N. G. R. E. G. O. R. Y. (2014). Principles of macroeconomics. Cengage Learning.

  • Mills Busa, J. H. (2013). Dynamite in the EKC tunnel? Inconsistencies in resource stock analysis under the environmental Kuznets curve hypothesis. Ecological Economics, 94, 116–126.

    Article  Google Scholar 

  • Mills, J. H., & Waite, T. A. (2009). Economic prosperity, biodiversity conservation, and the environmental Kuznets curve. Ecological Economics, 68(7), 2087–2095.

    Article  Google Scholar 

  • Munksgaard, J., Pedersen, K. A., & Wien, M. (2000). Impact of household consumption on CO2 emissions. Energy Economics, 22, 423–440.

    Article  Google Scholar 

  • Nelson, C. R., & Plosser, C. (1982). Trends and random walks in macroeconmic time series: Some evidence and implications. Journal of Monetary Economics, 10(2), 139–162.

    Article  Google Scholar 

  • Ozturk, I., & Acaravci, A. (2010). CO2 emissions, energy consumption and economic growth in Turkey. Renewable and Sustainable Energy Reviews, 14(9), 3220–3225.

    Article  Google Scholar 

  • Park, S., & Lee, Y. (2011). Regional model of EKC for air pollution: Evidence from the Republic of Korea. Energy Policy, 39(10), 5840–5849.

    Article  CAS  Google Scholar 

  • Pesaran, M. H., & Pesaran, B. (1997). Working with Microfit 4.0: Interactive econometric analysis;[Windows version]. Oxford University Press.

  • 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.

    Article  Google Scholar 

  • Roca, J., Padilla, E., Farré, M., & Galletto, V. (2001). Economic growth and atmospheric pollution in Spain: Discussing the environmental Kuznets curve hypothesis. Ecological Economics, 39(1), 85–99.

    Article  Google Scholar 

  • Saboori, B., Sulaiman, J., & Mohd, S. (2012). Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the environmental Kuznets curve. Energy Policy, 51, 184–191.

    Article  Google Scholar 

  • Shafik, N. (1994). Economic development and environmental quality: an econometric analysis. Oxford economic papers, 757–773.

  • Shahbaz, M., Khraief, N., Uddin, G. S., & Ozturk, I. (2014). Environmental Kuznets curve in an open economy: A bounds testing and causality analysis for Tunisia. Renewable and Sustainable Energy Reviews, 34, 325–336.

    Article  Google Scholar 

  • Zeshan, M., & Ahmed, V. (2013). Energy, environment and growth nexus in South Asia. Environment, Development and Sustainability, 15(6), 1465–1475.

    Article  Google Scholar 

Download references

Acknowledgments

The authors are thankful for the research grants ‘Fundamental Research Grant Scheme (FRGS)’ under the Ministry of Education, Malaysia (Project Code: FRGS/1/2013/TK07/UKM/02/4) and ‘Research Development Fund/Dana Pembangunan Penyelidikan PTJ’ (DPP-2013-144).

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Correspondence to Kazi Sohag.

Appendix: Data and sources

Appendix: Data and sources

Variable

Definition

Source

CO2 emissions from residential buildings and commercial and public services (million metric tons)

Carbon dioxide emissions, largely by-products of energy production and use, account for the largest share of greenhouse gases, which are associated with global warming. In 2010, the International Energy Agency (IEA) released data on carbon dioxide emissions by sector for the first time, allowing a more comprehensive understanding of each sector’s contribution to total emissions. The sectoral approach yields data on carbon dioxide emissions from fuel combustion [Intergovernmental Panel on Climate Change (IPCC) source/sink category 1A] as calculated using the IPCC tier 1 sectoral approach. Carbon emissions from residential buildings and commercial and public services are the sum of emissions from fuel combustion in households

IEA Statistics at OECD/IEA, http://www.iea.org/stats/index.asp)

Household final consumption expenditure per capita (constant 2005 US$)

Household final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2005 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licences

World Bank national accounts data

Electric power consumption (kWh per capita)

Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants

International Energy Agency (IEA Statistics© OECD/IEA, http://www.iea.org/stats/index.asp)

Dry natural gas consumption (billion cubic feet)

 

International Energy Agency (IEA Statistics© OECD/IEA, http://www.iea.org/stats/index.asp)

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Sohag, K., Begum, R.A. & Abdullah, S.M.S. Dynamic impact of household consumption on its CO2 emissions in Malaysia. Environ Dev Sustain 17, 1031–1043 (2015). https://doi.org/10.1007/s10668-014-9588-8

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