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Decarbonization of EU Services Sector: Shadow Carbon Prices Approach in Energy Efficiency Analysis

Author

Listed:
  • Dalia Streimikiene

    (Vilnius University, Kaunas Faculty, Kaunas, Lithuania)

  • Tomas Balezentis

    (Vytautas Magnus University, Agriculture Academy, Bioeconomy Research Institute, Kaunas region, Lithuania; Centre for Productivity and Sustainability Analysis, Vilnius, Lithuania)

Abstract

No abstract is available for this item.

Suggested Citation

  • Dalia Streimikiene & Tomas Balezentis, 2026. "Decarbonization of EU Services Sector: Shadow Carbon Prices Approach in Energy Efficiency Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 28(71), pages 360-360, February.
    • Handle: RePEc:aes:amfeco:v:28:y:2026:i:71:p:360
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    References listed on IDEAS

    as
    1. Zhiyang Shen & Jean-Philippe Boussemart & Michael Vardanyan & Yunlong Zhang, 2025. "Shadow pricing of carbon emissions from agriculture using spatially adaptive reference sets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 52(5), pages 1469-1500.
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Justas Streimikis & Z. Y. Shen & Tomas Balezentis, 2024. "Does the energy-related greenhouse gas emission abatement cost depend on the optimization direction: shadow pricing based on the weak disposability technology in the European Union agriculture," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 593-619, September.
    4. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    5. Wang, Zhaohua & Song, Yanwu & Shen, Zhiyang, 2022. "Global sustainability of carbon shadow pricing: The distance between observed and optimal abatement costs," Energy Economics, Elsevier, vol. 110(C).
    6. Ke Wang & Kexin Yang & Yi-Ming Wei & Chi Zhang, 2018. "Shadow prices of direct and overall carbon emissions in China¡¯s construction industry: a parametric directional distance function-based sensitive estimation," CEEP-BIT Working Papers 120, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    8. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
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    More about this item

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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