IDEAS home Printed from https://ideas.repec.org/a/ags/polpwa/230865.html
   My bibliography  Save this article

What are Production Determinants of Bioeconomy?

Author

Listed:
  • Maciejczak, Mariusz

Abstract

The concept of bioeconomy focuses on clustering different socio-economic processes of both traditional and innovative sectors of economy that focus on the use of renewable resources, and by applying knowledge and innovative technologies, and delivering products and services that are important from private and public points of view. Such an approach requires utilization of resources that differ from classical economic classification of production factors. The paper argues that instead of land, labor, capital and entrepreneurship, from the bioeconomy point of view it is more important to look at: renewable resources such as biomass sources, investments in research and development activities and people engaged in such activities as well as innovations, which could be considered as production determinants. Based on the latest Eurostat data for the year 2011, the paper presents the state of these determinants in the European Union’s main bioeconomy sectors.

Suggested Citation

  • Maciejczak, Mariusz, 2015. "What are Production Determinants of Bioeconomy?," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 15(30), pages 1-10, December.
    • Handle: RePEc:ags:polpwa:230865
    DOI: 10.22004/ag.econ.230865
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/230865/files/2015_4_15.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.230865?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
    ---><---

    References listed on IDEAS

    as
    1. Swinda F. Pfau & Janneke E. Hagens & Ben Dankbaar & Antoine J. M. Smits, 2014. "Visions of Sustainability in Bioeconomy Research," Sustainability, MDPI, vol. 6(3), pages 1-28, March.
    2. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    3. Andrew B. Abel & N. Gregory Mankiw & Lawrence H. Summers & Richard J. Zeckhauser, 1989. "Assessing Dynamic Efficiency: Theory and Evidence," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(1), pages 1-19.
    4. Andrew Mearman, 2011. "Who Do Heterodox Economists Think They Are?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 70(2), pages 480-510, April.
    5. repec:pri:cepsud:91malkiel is not listed on IDEAS
    6. Chavas, Jean-Paul & Kim, Kwansoo, 2010. "Economies of diversification: A generalization and decomposition of economies of scope," International Journal of Production Economics, Elsevier, vol. 126(2), pages 229-235, August.
    7. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    8. Schumpeter, Joseph A., 1947. "Theoretical Problems of Economic Growth," The Journal of Economic History, Cambridge University Press, vol. 7(S1), pages 1-9, January.
    9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    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. Alexandra Gottinger & Luana Ladu & Rainer Quitzow, 2020. "Studying the Transition towards a Circular Bioeconomy—A Systematic Literature Review on Transition Studies and Existing Barriers," Sustainability, MDPI, vol. 12(21), pages 1-25, October.
    2. Orlykovskyi, Mykola & Wicki, Ludwik & Maciejczak, Mariusz & Galchynska, Yulia, 2016. "Rozwój biogospodarki opartej na wiedzy na Ukrainie – w kierunku systemu dyfuzji innowacji opartego o model poczwórnej helisy," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 16(31), pages 1-13, March.
    3. Cristian Busu & Mihail Busu, 2019. "Economic Modeling in the Management of Transition to Bioeconomy," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(50), pages 1-24, February.
    4. Oguntuase Oluwaseun James, 2020. "Bioeconomy for Sustainable Development in Africa – State of Production Determinants and Future Directions," Economic and Regional Studies / Studia Ekonomiczne i Regionalne, Sciendo, vol. 13(1), pages 1-14, March.
    5. repec:aud:audfin:v:21:y:2019:i:50:p:24 is not listed on IDEAS
    6. Jochen Dürr & Marcelo Sili, 2022. "New or Traditional Approaches in Argentina’s Bioeconomy? Biomass and Biotechnology Use, Local Embeddedness, and Sustainability Outcomes of Bioeconomic Ventures," Sustainability, MDPI, vol. 14(21), pages 1-28, November.
    7. Marcelo Sili & Jochen Dürr, 2022. "Bioeconomic Entrepreneurship and Key Factors of Development: Lessons from Argentina," Sustainability, MDPI, vol. 14(4), pages 1-28, February.

    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. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    3. Bell, Peter N, 2013. "New Testing Procedures to Assess Market Efficiency with Trading Rules," MPRA Paper 46701, University Library of Munich, Germany.
    4. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
    5. Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
    6. Nathan Jensen, 2007. "International institutions and market expectations: Stock price responses to the WTO ruling on the 2002 U.S. steel tariffs," The Review of International Organizations, Springer, vol. 2(3), pages 261-280, September.
    7. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    8. Ghada A. Altarawneh & Ahmad B. Hassanat & Ahmad S. Tarawneh & Ahmad Abadleh & Malek Alrashidi & Mansoor Alghamdi, 2022. "Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods," Economies, MDPI, vol. 10(2), pages 1-18, February.
    9. John Sabelhaus, 2005. "Alternative Methods for Projecting Equity Returns: Implications for Evaluating Social Security Reform Proposals," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 43-63, March.
    10. Cristi Spulbar & Ramona Birau & Lucian Florin Spulbar, 2021. "A Critical Survey on Efficient Market Hypothesis (EMH), Adaptive Market Hypothesis (AMH) and Fractal Markets Hypothesis (FMH) Considering Their Implication on Stock Markets Behavior," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 1161-1165, December.
    11. Stephen Bell & John Quiggin, 2006. "Asset Price Instability and Policy Responses: The Legacy of Liberalization," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(3), pages 629-649, September.
    12. Paolo Cremonesi & Chiara Francalanci & Alessandro Poli & Roberto Pagano & Luca Mazzoni & Alberto Maggioni & Mehdi Elahi, 2018. "Social Network based Short-Term Stock Trading System," Papers 1801.05295, arXiv.org.
    13. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability Of Technical Trading Rules In Us Futures Markets: A Data Snooping Free Test," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19011, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    14. Taufiq Choudhry & Ranadeva Jayasekera, 2015. "Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 213-242, February.
    15. Mahata, Ajit & Rai, Anish & Nurujjaman, Md. & Prakash, Om, 2021. "Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    16. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    17. Abootaleb Shirvani & Svetlozar T. Rachev & Frank J. Fabozzi, 2019. "A Rational Finance Explanation of the Stock Predictability Puzzle," Papers 1911.02194, arXiv.org.
    18. Admin Starcevic & Timothy Rodgers, 2011. "Market Efficiency within the German Stock Market: A Comparative Study of the Relative Efficiencies of the DAX, MDAX, SDAX and ASE Indices," International Econometric Review (IER), Econometric Research Association, vol. 3(1), pages 25-37, April.
    19. Olayinka Oyekola & Sofia Johan & Rilwan Sakariyahu & Oluwatoyin Esther Dosumu & Shima Amini, 2023. "Political institutions, financial liberalisation, and access to finance: firm-level empirical evidence," Discussion Papers 2307, University of Exeter, Department of Economics.
    20. Michele Costola & Massimiliano Caporin, 2016. "Rational Learning For Risk-Averse Investors By Conditioning On Behavioral Choices," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-26, March.

    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:ags:polpwa:230865. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/wesggpl.html .

    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.