The use of Meta-Regression Analysis to harmonize LCA literature: an application to GHG emissions of 2nd and 3rd generation biofuels
AbstractThis article presents the results of a literature review performs with a meta-regression analysis (MRA) that focuses on the estimates of advanced biofuel Greenhouse Gas (GHG) emissions assessed with a Life Cycle Assessment (LCA) approach. The mean GHG emissions of both second (G2) and third generation (G3) biofuels and the effects of factors influencing these estimates are identified and quantified by means of specific statistical methods. 47 LCA studies are included in the database, providing 593 estimates. Each study estimate of the database is characterized by i) technical data/characteristics, ii) author's methodological choices and iii) typology of the study under consideration. The database is composed of both the vector of these estimates – expressed in grams of CO2 equivalent per MJ of biofuel (g CO2eq/MJ) – and a matrix containing vectors of predictor variables which can be continuous or dummy variables. The former is the dependent variable while the latter corresponds to the explanatory variables of the meta-regression model. Parameters are estimated by mean of econometrics methods. Our results clearly highlight a hierarchy between G3 and G2 biofuels: life cycle GHG emissions of G3 biofuels are statistically higher than those of Ethanol which, in turn, are superior to those of BtL. Moreover, this article finds empirical support for many of the hypotheses formulated in narrative literature surveys concerning potential factors which may explain estimates variations. Finally, the MRA results are used to adress the harmonization issue in the field of advanced biofuels GHG emissions thanks to the technique of benefits transfer using meta-regression models. The range of values hence obtained appears to be lower than the fossil fuel reference (about 83.8 in g CO2eq/MJ). However, only Ethanol and BtL do comply with the GHG emission reduction thresholds for biofuels defined in both the American and European directives.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by INRA, Economie Publique in its series Working Papers with number 2013/01.
Date of creation: 27 Feb 2013
Date of revision:
Contact details of provider:
Postal: BP 01, 78850 Thiverval Grignon
Phone: 01 30 81 53 30
Fax: 01 30 81 53 68
Web page: http://www4.versailles-grignon.inra.fr/economie_publique_eng
More information through EDIRC
Biofuels; GHG; LCA; Meta-analysis;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-04-20 (All new papers)
- NEP-ENE-2013-04-20 (Energy Economics)
- NEP-ENV-2013-04-20 (Environmental Economics)
- NEP-TRE-2013-04-20 (Transport Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- T. D. Stanley & Stephen B. Jarrell, 2005.
"Meta-Regression Analysis: A Quantitative Method of Literature Surveys,"
Journal of Economic Surveys,
Wiley Blackwell, vol. 19(3), pages 299-308, 07.
- Stanley, T D & Jarrell, Stephen B, 1989. " Meta-Regression Analysis: A Quantitative Method of Literature Survey s," Journal of Economic Surveys, Wiley Blackwell, vol. 3(2), pages 161-70.
- Hamelinck, Carlo N & Faaij, Andre P.C., 2006. "Outlook for advanced biofuels," Energy Policy, Elsevier, vol. 34(17), pages 3268-3283, November.
- Kaufman, Andrew S. & Meier, Paul J. & Sinistore, Julie C. & Reinemann, Douglas J., 2010. "Applying life-cycle assessment to low carbon fuel standards--How allocation choices influence carbon intensity for renewable transportation fuels," Energy Policy, Elsevier, vol. 38(9), pages 5229-5241, September.
- Delucchi, Mark, 2006. "Lifecycle Analyses of Biofuels," Institute of Transportation Studies, Working Paper Series qt1pq0f84z, Institute of Transportation Studies, UC Davis.
- Smith, V. Kerry & Kaoru, Yoshiaki, 1990. "What have we learned since hotelling's letter? : A meta-analysis," Economics Letters, Elsevier, vol. 32(3), pages 277-281, March.
- Wang, Michael & Huo, Hong & Arora, Salil, 2011. "Methods of dealing with co-products of biofuels in life-cycle analysis and consequent results within the U.S. context," Energy Policy, Elsevier, vol. 39(10), pages 5726-5736, October.
- Maria Abreu Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta-Analysis of β-Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, 07.
- Stephen B. Jarrell & T. D. Stanley, 1990. "A meta-analysis of the union-nonunion wage gap," Industrial and Labor Relations Review, ILR Review, Cornell University, ILR School, vol. 44(1), pages 54-67, October.
- Jon Nelson & Peter Kennedy, 2009. "The Use (and Abuse) of Meta-Analysis in Environmental and Natural Resource Economics: An Assessment," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 42(3), pages 345-377, March.
- Whittaker, Carly & McManus, Marcelle C. & Hammond, Geoffrey P., 2011. "Greenhouse gas reporting for biofuels: A comparison between the RED, RTFO and PAS2050 methodologies," Energy Policy, Elsevier, vol. 39(10), pages 5950-5960, October.
- Bureau, Jean-Christophe & Disdier, Anne-Célia & Gauroy, Christine & Tréguer, David, 2010. "A quantitative assessment of the determinants of the net energy value of biofuels," Energy Policy, Elsevier, vol. 38(5), pages 2282-2290, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (RÃ©gis Grateau).
If references are entirely missing, you can add them using this form.