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Households' Behaviour And Environmental Emissions In A Regional Economy

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  • Rosa Duarte
  • Sofiane Rebahi
  • Julio S�nchez-Ch�liz
  • Cristina Sarasa

Abstract

Households have significant demand-side potential to drive reductions in atmospheric emissions, including both direct and indirect emissions. Our analysis focuses on the behaviour of a regional economy (Aragon, Spain) and its impact on greenhouse gases (GHG) and sulphur dioxide (SO 2 ). Using a CGE model, we simulate scenarios and evaluate the environmental impact of adopting changes considered in the Aragonese Climate Change and Clean Energy Strategy. Specifically, we analyse the impact of electricity savings and the promotion of public transport (bus or train) versus private car use. The results indicate that 1 MWh of saving in electricity consumption by households could reduce emissions of GHG by 0.112 kt of equivalent CO 2 and 8.209 kg of SO 2 with a shift in demand preferences and 0.022 kt of equivalent CO 2 and 7.612 kg of SO 2 with an efficiency improvement. Moreover, household changes in demand preferences regarding private/public transport, also contribute to reduce emissions.

Suggested Citation

  • Rosa Duarte & Sofiane Rebahi & Julio S�nchez-Ch�liz & Cristina Sarasa, 2014. "Households' Behaviour And Environmental Emissions In A Regional Economy," Economic Systems Research, Taylor & Francis Journals, vol. 26(4), pages 410-430, December.
  • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:4:p:410-430
    DOI: 10.1080/09535314.2014.903231
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    References listed on IDEAS

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    1. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    2. Ha, Soo Jung & Lange, Ian & Lecca, Patrizio & Turner, Karen, 2012. "Econometric estimation of nested production functions and testing in a computable general equilibrium analysis of economy-wide rebound effec ts," Stirling Economics Discussion Papers 2012-08, University of Stirling, Division of Economics.
    3. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
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    Cited by:

    1. Yosuke Shigetomi & Keisuke Nansai & Shigemi Kagawa & Susumu Tohno, 2016. "Influence of income difference on carbon and material footprints for critical metals: the case of Japanese households," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    2. He, Yongda & Lin, Boqiang, 2017. "The impact of natural gas price control in China: A computable general equilibrium approach," Energy Policy, Elsevier, vol. 107(C), pages 524-531.
    3. Sarasa, Cristina & Turner, Karen, 2021. "Can a combination of efficiency initiatives give us “good” rebound effects?," Energy, Elsevier, vol. 235(C).
    4. Tatiana Olegovna Tagaeva & Alexander Olegovich Baranov & Vadim Manavirovich Gilmundinov, 2016. "Assessment of the Required Changes of Russian Ecological Taxes," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 611-616.
    5. Shigetomi, Yosuke & Nansai, Keisuke & Kagawa, Shigemi & Tohno, Susumu, 2015. "Trends in Japanese households' critical-metals material footprints," Ecological Economics, Elsevier, vol. 119(C), pages 118-126.
    6. Duarte, Rosa & Sánchez-Chóliz, Julio & Sarasa, Cristina, 2018. "Consumer-side actions in a low-carbon economy: A dynamic CGE analysis for Spain," Energy Policy, Elsevier, vol. 118(C), pages 199-210.
    7. Duarte, Rosa & Feng, Kuishuang & Hubacek, Klaus & Sánchez-Chóliz, Julio & Sarasa, Cristina & Sun, Laixiang, 2016. "Modeling the carbon consequences of pro-environmental consumer behavior," Applied Energy, Elsevier, vol. 184(C), pages 1207-1216.

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