IDEAS home Printed from https://ideas.repec.org/p/ags/iaae12/126379.html

Bioenergy and Land Use Change

Author

Listed:
  • Ciaian, Pavel
  • Kancs, d'Artis
  • Rajcaniova, Miroslava

Abstract

This is the first article that econometrically estimates the global land-use change impact of bioenergy. Applying time-series analytical mechanisms to fuel, biofuel and agricultural commodity prices and production, we estimate the long-run relationship between energy prices, bioenergy production and the global land-use change. Our results suggest that rising energy prices and bioenergy production significantly contribute to the global land-use change both through the direct and indirect land-use change impact. Globally, the total agricultural area yearly increases by 35 578.1 thousand ha due to increasing oil price, and by 12 125.1 thousand ha due to increasing biofuel production, which corresponds to 0.73% and 0.25% of the total worldwide agricultural area, respectively. Soya land-use change and wheat land-use change have the highest elasticities with respect to both oil price and biofuel production. In contrast, nonbiomass crops (grassland and rice) have negative land-use change elasticities. Region-specific results suggest that South America faces the largest yearly total land-use change associated with oil price increase (+10 600.7 thousand ha), whereas Asia (+8918.6 thousand ha), South America (+4024.9 thousand ha) and North America (+1311.5 thousand ha) have the largest yearly total land-use change associated with increase in biofuel production.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ciaian, Pavel & Kancs, d'Artis & Rajcaniova, Miroslava, 2012. "Bioenergy and Land Use Change," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126379, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126379
    DOI: 10.22004/ag.econ.126379
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/126379/files/IAAE%20-%20Bioenergy.land.use.world%20-%20Paper%20_16272.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.126379?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Piroli, Giuseppe & Rajcaniova, Miroslava & Ciaian, Pavel & Kancs, d׳Artis, 2015. "From a rise in B to a fall in C? SVAR analysis of environmental impact of biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 921-930.
    2. Yongxi Ma & Lu Zhang & Shixiong Song & Shuao Yu, 2022. "Impacts of Energy Price on Agricultural Production, Energy Consumption, and Carbon Emission in China: A Price Endogenous Partial Equilibrium Model Analysis," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    3. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuşkaya, Sevda, 2017. "Can biomass energy be an efficient policy tool for sustainable development?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 830-845.
    4. Stolarski, Mariusz Jerzy & Warmiński, Kazimierz & Krzyżaniak, Michał & Olba–Zięty, Ewelina & Akincza, Marta, 2020. "Bioenergy technologies and biomass potential vary in Northern European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    5. Piroli, Giuseppe & Ciaian, Pavel & Kancs, d'Artis, 2012. "Land use change impacts of biofuels: Near-VAR evidence from the US," Ecological Economics, Elsevier, vol. 84(C), pages 98-109.
    6. Carpio, Lucio Guido Tapia, 2019. "The effects of oil price volatility on ethanol, gasoline, and sugar price forecasts," Energy, Elsevier, vol. 181(C), pages 1012-1022.
    7. Ladislav Kristoufek & Karel Janda & David Zilberman, 2015. "Co-movements of Ethanol Related Prices: Evidence from Brazil and the USA," CAMA Working Papers 2015-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. repec:lic:licosd:37115 is not listed on IDEAS
    9. Amigues, Jean-Pierre & Moreaux, Michel, 2018. "Competing Land Uses and Fossil Fuel, Optimal Energy Conversion Rates During the Transition Toward a Green Economy Under a Pollution Stock Constraint," TSE Working Papers 18-981, Toulouse School of Economics (TSE).
    10. Mirzabaev, Alisher & Guta, Dawit & Goedecke, Jann & Gaur, Varun & Börner, Jan & Virchow, Detlef & Denich, Manfred & von Braun, Joachim, 2014. "Bioenergy, Food Security and Poverty Reduction: Mitigating tradeoffs and promoting synergies along the Water- Energy-Food Security Nexus," Working Papers 180421, University of Bonn, Center for Development Research (ZEF).
    11. Lászlók, Annet, 2012. "The impact of energy crop production on land use in Hungary," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 12(27), pages 1-9, September.
    12. Karel Janda & Ladislav Krištoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods and Outcomes," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 195-216, October.
    13. Karel Janda & Ladislav Kristoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods, Outcomes, and Lessons for Commodity Price Risk Management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Karel Janda & Ladislav Krištoufek & Barbora Schererová & David Zilberman, 2021. "Price transmission in biofuel-related global agricultural networks," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(10), pages 399-408.
    15. Cuppari, Rosa I. & Higgins, Chad W. & Characklis, Gregory W., 2021. "Agrivoltaics and weather risk: A diversification strategy for landowners," Applied Energy, Elsevier, vol. 291(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:iaae12:126379. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/iaaeeea.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.