IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v193y2023ics004016252300313x.html
   My bibliography  Save this article

Biomass use and its implications for bioeconomy development: A resource efficiency perspective for the European countries

Author

Listed:
  • Ramanauske, Neringa
  • Balezentis, Tomas
  • Streimikiene, Dalia

Abstract

Increasing population and economic growth in Europe and the world are leading to growing demand for food, livestock feed, and energy, and consequently to growing negative impacts on the environment and climate change. Tensions and price fluctuations in international material supply chains have recently become an even greater challenge. As for biomass, its availability is limited due to land, water, human, and financial resources as well as the environmental boundaries. Therefore, efficiency of biomass use is becoming increasingly important; it is crucial to develop and apply integrated assessment frameworks for tracking progress in resource use efficiency that would allow comparing the efficiency of biomass and non-biomass use. This paper embarks on the analysis of biomass and non-biomass resource use in selected European countries over 2010–2019. The index decomposition analysis model is set up to decompose the changes in biomass consumption with respect to intensive and extensive drivers. Resource use efficiency is then assessed via the non-parametric frontier, taking into account the other inputs (labour and capital). The results suggest that biomass efficiency is higher than that of non-biomass materials. The efficiency scores suggest that further decoupling of domestic material consumption and economic growth is needed.

Suggested Citation

  • Ramanauske, Neringa & Balezentis, Tomas & Streimikiene, Dalia, 2023. "Biomass use and its implications for bioeconomy development: A resource efficiency perspective for the European countries," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:tefoso:v:193:y:2023:i:c:s004016252300313x
    DOI: 10.1016/j.techfore.2023.122628
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252300313X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122628?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    2. M. Lábaj & M. Luptáčik & E. Nežinský, 2014. "Data envelopment analysis for measuring economic growth in terms of welfare beyond GDP," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(3), pages 407-424, August.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Watto, Muhammad, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152204, Australian Agricultural and Resource Economics Society.
    5. Ruben Bibas & Jean Chateau & Elisa Lanzi, 2021. "Policy scenarios for a transition to a more resource efficient and circular economy," OECD Environment Working Papers 169, OECD Publishing.
    6. Enahoro, Dolapo & Sircely, Jason & Boone, Randall B. & Oloo, Stephen & Komarek, Adam M. & Bahta, Sirak & Herrero, Mario & Rich, Karl M., 2021. "Feed biomass production may not be sufficient to support emerging livestock demand: Model projections to 2050 in Southern Africa," SocArXiv qmdrt, Center for Open Science.
    7. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min & Lin, Bruce J.Y., 2013. "A survey of DEA applications," Omega, Elsevier, vol. 41(5), pages 893-902.
    8. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    9. Malinauskaite, J. & Jouhara, H. & Ahmad, L. & Milani, M. & Montorsi, L. & Venturelli, M., 2019. "Energy efficiency in industry: EU and national policies in Italy and the UK," Energy, Elsevier, vol. 172(C), pages 255-269.
    10. Griffin, Paul W. & Hammond, Geoffrey P. & Norman, Jonathan B., 2018. "Industrial energy use and carbon emissions reduction in the chemicals sector: A UK perspective," Applied Energy, Elsevier, vol. 227(C), pages 587-602.
    11. Xue, Shengrong & Zhang, Siqi & Wang, Ying & Wang, Yanbo & Song, Jinghui & Lyu, Xingang & Wang, Xiaojiao & Yang, Gaihe, 2022. "What can we learn from the experience of European countries in biomethane industry: Taking China as an example?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    12. Na, Hongming & Sun, Jingchao & Qiu, Ziyang & He, Jianfei & Yuan, Yuxing & Yan, Tianyi & Du, Tao, 2021. "A novel evaluation method for energy efficiency of process industry — A case study of typical iron and steel manufacturing process," Energy, Elsevier, vol. 233(C).
    13. Rissman, Jeffrey & Bataille, Chris & Masanet, Eric & Aden, Nate & Morrow, William R. & Zhou, Nan & Elliott, Neal & Dell, Rebecca & Heeren, Niko & Huckestein, Brigitta & Cresko, Joe & Miller, Sabbie A., 2020. "Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070," Applied Energy, Elsevier, vol. 266(C).
    14. Glasenapp, S. & Fonseca, M. & Weimar, H. & Döring, P. & Aguilar, F.X., 2021. "Conversion factors for residential wood energy in the European Union: an introduction to harmonizing units of measurement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    15. Michela Lucian & Luca Fiori, 2017. "Hydrothermal Carbonization of Waste Biomass: Process Design, Modeling, Energy Efficiency and Cost Analysis," Energies, MDPI, vol. 10(2), pages 1-18, February.
    16. Julian M. Alston & Philip G. Pardey, 2014. "Agriculture in the Global Economy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 121-146, Winter.
    17. Watto, Muhammad Arif & Mugera, Amin William, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," Working Papers 144943, University of Western Australia, School of Agricultural and Resource Economics.
    18. Jankowski, Krzysztof J. & Sokólski, Mateusz, 2021. "Spring camelina: Effect of mineral fertilization on the energy efficiency of biomass production," Energy, Elsevier, vol. 220(C).
    19. Jean Chateau & Eleonora Mavroeidi, 2020. "The jobs potential of a transition towards a resource efficient and circular economy," OECD Environment Working Papers 167, OECD Publishing.
    20. Griffin, Paul W. & Hammond, Geoffrey P., 2019. "Industrial energy use and carbon emissions reduction in the iron and steel sector: A UK perspective," Applied Energy, Elsevier, vol. 249(C), pages 109-125.
    21. Khan, Khalid & Su, Chi-Wei & Zhu, Meng Nan, 2022. "Examining the behaviour of energy prices to COVID-19 uncertainty: A quantile on quantile approach," Energy, Elsevier, vol. 239(PE).
    22. Alexander Murray, 2016. "Partial versus Total Factor Productivity: Assessing Resource Use in Natural Resource Industries in Canada," CSLS Research Reports 2016-20, Centre for the Study of Living Standards.
    23. Shunta Yamaguchi, 2018. "International Trade and the Transition to a More Resource Efficient and Circular Economy: A Concept Paper," OECD Trade and Environment Working Papers 2018/03, OECD Publishing.
    24. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    25. Mr. Christian Bogmans & Lama Kiyasseh & Mr. Akito Matsumoto & Mr. Andrea Pescatori, 2020. "Energy, Efficiency Gains and Economic Development: When Will Global Energy Demand Saturate?," IMF Working Papers 2020/253, International Monetary Fund.
    26. Ardit Sertolli & Zoltán Gabnai & Péter Lengyel & Attila Bai, 2022. "Biomass Potential and Utilization in Worldwide Research Trends—A Bibliometric Analysis," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    27. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabriela Ignat & Lilia Șargu & Ioan Prigoreanu & Nicu Șargu & Andrian Ulinici & Gabriela Daniela Bordeianu, 2024. "Assessing the Sustainability of Agricultural Bioenergy Potential in the European Union," Energies, MDPI, vol. 17(19), pages 1-25, September.
    2. Aresti, Lazaros & Alvi, Maria Romana & Cecinato, Francesco & Fan, Tao & Halaj, Elzbieta & Li, Zili & Okhay, Olena & Poulsen, Soren Erbs & Quiroga, Sonia & Suarez, Cristina & Tang, Anh Minh & Valancius, 2024. "Energy geo-structures: A review of their integration with other sources and its limitations," Renewable Energy, Elsevier, vol. 230(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    2. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    3. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    4. Javad Gerami & Mohammad Reza Mozaffari & P. F. Wanke & Henrique Correa, 2022. "A novel slacks-based model for efficiency and super-efficiency in DEA-R," Operational Research, Springer, vol. 22(4), pages 3373-3410, September.
    5. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    6. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    7. Chambers, Robert G., 2024. "Numeraire choice, shadow profit, and inefficiency measurement," European Journal of Operational Research, Elsevier, vol. 319(2), pages 658-668.
    8. Baležentis, Tomas & Li, Tianxiang & Chen, Xueli, 2021. "Has agricultural labor restructuring improved agricultural labor productivity in China? A decomposition approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    9. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    10. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    11. Adler, Nicole & Volta, Nicola, 2016. "Accounting for externalities and disposability: A directional economic environmental distance function," European Journal of Operational Research, Elsevier, vol. 250(1), pages 314-327.
    12. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," 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. 26(1), pages 43-66, March.
    13. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    14. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    15. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    16. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.
    17. Weixin Yang & Lingguang Li, 2017. "Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model," Sustainability, MDPI, vol. 9(8), pages 1-21, July.
    18. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    19. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    20. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:193:y:2023:i:c:s004016252300313x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.