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From a rise in B to a fall in C? SVAR analysis of environmental impact of biofuels

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  • Piroli, Giuseppe
  • Rajcaniova, Miroslava
  • Ciaian, Pavel
  • Kancs, d׳Artis

Abstract

This is the first paper that econometrically estimates the impact of rising Bioenergy production on global CO2 emissions. We apply a structural vector autoregression (SVAR) approach to time series from 1961 to 2009 with annual observation for the world biofuel production and global CO2 emissions. We find that in the medium- to long-run biofuels significantly reduce global CO2 emissions: the CO2 emission elasticities with respect to biofuels range between −0.57 and −0.80. In the short-run, however, biofuels may increase CO2 emissions temporarily. Our findings complement those of life-cycle assessment and simulation models. However, by employing a more holistic approach and obtaining more robust estimates of environmental impact of biofuels, our results are particularly valuable for policy makers.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:rensus:v:49:y:2015:i:c:p:921-930
    DOI: 10.1016/j.rser.2015.04.133
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    1. Janda, Karel & Kristoufek, Ladislav & Zilberman, David, "undated". "Biofuels: review of policies and impacts," CUDARE Working Papers 120415, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Daniel M. Kammen & Alexander E. Farrell & Richard J. Plevin & Andrew D. Jones & Mark A. Delucchi & Gregory F. Nemet, 2007. "Energy and Greenhouse Impacts of Biofuels: A Framework for Analysis," OECD/ITF Joint Transport Research Centre Discussion Papers 2007/2, OECD Publishing.
    3. Vacha, Lukas & Janda, Karel & Kristoufek, Ladislav & Zilberman, David, 2013. "Time–frequency dynamics of biofuel–fuel–food system," Energy Economics, Elsevier, vol. 40(C), pages 233-241.
    4. Jerome Dumortier & Dermot J. Hayes & Miguel Carriquiry & Fengxia Dong & Xiaodong Du & Amani Elobeid & Jacinto F. Fabiosa & Simla Tokgoz, 2011. "Sensitivity of Carbon Emission Estimates from Indirect Land-Use Change," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 428-448.
    5. repec:ner:leuven:urn:hdl:123456789/413548 is not listed on IDEAS
    6. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    7. Thompson, Wyatt & Whistance, Jarrett & Meyer, Seth, 2011. "Effects of US biofuel policies on US and world petroleum product markets with consequences for greenhouse gas emissions," Energy Policy, Elsevier, vol. 39(9), pages 5509-5518, September.
    8. Ujjayant Chakravorty & Marie-HéLène Hubert, 2013. "Global Impacts of the Biofuel Mandate under a Carbon Tax," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 282-288.
    9. Kancs, d'Artis & Wohlgemuth, Norbert, 2008. "Evaluation of renewable energy policies in an integrated economic-energy-environment model," Forest Policy and Economics, Elsevier, vol. 10(3), pages 128-139, January.
    10. repec:wsi:ccexxx:v:03:y:2012:i:03:n:s2010007812500133 is not listed on IDEAS
    11. Searchinger, Timothy & Heimlich, Ralph & Houghton, R. A. & Dong, Fengxia & Elobeid, Amani & Fabiosa, Jacinto F. & Tokgoz, Simla & Hayes, Dermot J. & Yu, Hun-Hsiang, 2008. "Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change," Staff General Research Papers Archive 12881, Iowa State University, Department of Economics.
    12. Bouët, Antoine & Dimaranan, Betina V. & Valin, Hugo, 2010. "Modeling the global trade and environmental impacts of biofuel policies," IFPRI discussion papers 1018, International Food Policy Research Institute (IFPRI).
    13. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    14. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    15. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    16. Miroslava Rajcaniova & d'Artis Kancs & Pavel Ciaian, 2014. "Bioenergy and global land-use change," Applied Economics, Taylor & Francis Journals, vol. 46(26), pages 3163-3179, September.
    17. Ciaian, Pavel & Kancs, d'Artis, 2011. "Interdependencies in the energy-bioenergy-food price systems: A cointegration analysis," Resource and Energy Economics, Elsevier, vol. 33(1), pages 326-348, January.
    18. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198.
    19. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    20. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    21. Kammen, Daniel M. & Farrell, Alexander E & Plevin, Richard J & Jones, Andrew & Nemet, Gregory F & Delucchi, Mark, 2008. "Energy and Greenhouse Gas Impacts of Biofuels: A Framework for Analysis," Institute of Transportation Studies, Working Paper Series qt5qw5g6q2, Institute of Transportation Studies, UC Davis.
    22. Rajagopal, Deepak & Zilberman, David, 2008. "Environmental Lifecycle Assessment for Policy Decision-Making and Analysis," Lifecycle Carbon Footprint of Biofuels Workshop, January 29, 2008, Miami Beach, Florida 49090, Farm Foundation.
    23. Olivia Riera & Johan Swinnen, 2014. "Household level spillover effects from biofuels," LICOS Discussion Papers 35614, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    24. 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.
    25. Xiaoguang Chen & Haixiao Huang & Madhu Khanna, 2012. "Land-Use And Greenhouse Gas Implications Of Biofuels: Role Of Technology And Policy," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-25.
    26. Karel Janda & Ladislav Kristoufek & David Zilberman, 2011. "Modeling the Environmental and Socio-Economic Impacts of Biofuels," Working Papers IES 2011/33, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2011.
    27. Štěpán Chrz & Karel Janda & Ladislav Krištoufek, 2014. "Modelování provázanosti trhů potravin, biopaliv a fosilních paliv
      [Modeling Interconnections within Food, Biofuel, and Fossil Fuel Markets]
      ," Politická ekonomie, University of Economics, Prague, vol. 2014(1), pages 117-140.
    28. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    29. Rajagopal, D. & Hochman, G. & Zilberman, D., 2011. "Indirect fuel use change (IFUC) and the lifecycle environmental impact of biofuel policies," Energy Policy, Elsevier, vol. 39(1), pages 228-233, January.
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    Cited by:

    1. Rahman, Farahiyah Abdul & Aziz, Md Maniruzzaman A. & Saidur, R. & Bakar, Wan Azelee Wan Abu & Hainin, M.R & Putrajaya, Ramadhansyah & Hassan, Norhidayah Abdul, 2017. "Pollution to solution: Capture and sequestration of carbon dioxide (CO2) and its utilization as a renewable energy source for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 112-126.
    2. repec:eee:eneeco:v:64:y:2017:i:c:p:170-176 is not listed on IDEAS
    3. repec:prg:jnlpol:v:2018:y:2018:i:2:id:1185:p:218-239 is not listed on IDEAS
    4. Gohin, Alexandre, 2016. "Understanding the revised CARB estimates of the land use changes and greenhouse gas emissions induced by biofuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 402-412.
    5. 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.
    6. Ko, Chun-Han & Chaiprapat, Sumate & Kim, Lee-Hyung & Hadi, Pejman & Hsu, Shu-Chien & Leu, Shao-Yuan, 2017. "Carbon sequestration potential via energy harvesting from agricultural biomass residues in Mekong River basin, Southeast Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1051-1062.

    More about this item

    Keywords

    SVAR; Time-series econometrics; Biofuels; CO2 emissions; Environment; Indirect land use change;

    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

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