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Efficiency of pulp and paper industry in the production of pulp and bioelectricity in Brazil

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  • Susaeta, Andres
  • Rossato, Fabricia Gladys

Abstract

We examine the efficiency of Brazilian pulp and paper companies in the production of pulp and bioelectricity using an output-oriented data envelopment analysis. We assume that pulpwood volume, energy consumption, installed capacity and number of workers are the inputs to generate pulp and bioelectricity. We conduct this analysis by first determining the traditional efficiency scores, and secondly calculating a composite index of efficiency to rank the performance of pulp and paper companies. We also conduct a post-efficiency analysis to gauge the impacts of externalities and other related variables on the efficiency in pulp and bioelectricity production. Our results suggest that pulp and paper companies are efficient in pulp and bioelectric production, reaching an average efficiency and composite index of efficiency of 0.9776 and 0.8291, respectively. The post-efficiency analysis suggests that pulp and paper companies could minimally decrease their adjusted efficiencies by increasing the total forest area, power capacity, and outsourced employment. On the other hand, the adjusted efficiency in the production of pulp and bioelectricity might not be statistically impacted by higher socioeconomic levels.

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  • Susaeta, Andres & Rossato, Fabricia Gladys, 2021. "Efficiency of pulp and paper industry in the production of pulp and bioelectricity in Brazil," Forest Policy and Economics, Elsevier, vol. 128(C).
    • Handle: RePEc:eee:forpol:v:128:y:2021:i:c:s1389934121000903
    DOI: 10.1016/j.forpol.2021.102484
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    1. Pighinelli, Anna L.M.T. & Schaffer, Mark A. & Boateng, Akwasi A., 2018. "Utilization of eucalyptus for electricity production in Brazil via fast pyrolysis: A techno-economic analysis," Renewable Energy, Elsevier, vol. 119(C), pages 590-597.
    2. Adler, Nicole & Golany, Boaz, 2001. "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe," European Journal of Operational Research, Elsevier, vol. 132(2), pages 260-273, July.
    3. Gregoriou, Greg N. & Sedzro, Komlan & Zhu, Joe, 2005. "Hedge fund performance appraisal using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 164(2), pages 555-571, July.
    4. Kuosmanen, Timo & Kortelainen, Mika, 2007. "Valuing environmental factors in cost-benefit analysis using data envelopment analysis," Ecological Economics, Elsevier, vol. 62(1), pages 56-65, April.
    5. Enzo Barberio Mariano & Daisy Aparecida do Nascimento Rebelatto, 2014. "Transformation of wealth produced into quality of life: analysis of the social efficiency of nation-states with the DEA’s triple index approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(11), pages 1664-1681, November.
    6. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    7. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Rossato, Fabrícia Gladys F.S. & Susaeta, Andres & Adams, Damian C. & Hidalgo, Ieda Geriberto & de Araujo, Thais Duekc & de Queiroz, Adriana, 2018. "Comparison of revealed comparative advantage indexes with application to trade tendencies of cellulose production from planted forests in Brazil, Canada, China, Sweden, Finland and the United States," Forest Policy and Economics, Elsevier, vol. 97(C), pages 59-66.
    10. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
    13. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    14. Guilherme Fracaro & Esa Vakkilainen & Marcelo Hamaguchi & Samuel Nelson Melegari de Souza, 2012. "Energy Efficiency in the Brazilian Pulp and Paper Industry," Energies, MDPI, vol. 5(9), pages 1-23, September.
    15. Alfredsson, Eva & Månsson, Jonas & Vikström, Peter, 2016. "Internalising external environmental effects in efficiency analysis," Economic Analysis and Policy, Elsevier, vol. 51(C), pages 22-31.
    16. Corrêa da Silva, Rodrigo & de Marchi Neto, Ismael & Silva Seifert, Stephan, 2016. "Electricity supply security and the future role of renewable energy sources in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 328-341.
    17. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, December.
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    1. Furszyfer Del Rio, Dylan D. & Sovacool, Benjamin K. & Griffiths, Steve & Bazilian, Morgan & Kim, Jinsoo & Foley, Aoife M. & Rooney, David, 2022. "Decarbonizing the pulp and paper industry: A critical and systematic review of sociotechnical developments and policy options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Susaeta, Andres & Gutiérrez, Ester & Lozano, Sebastián, 2023. "Profit-efficiency analysis of forest ecosystem services in the southeastern US," Ecosystem Services, Elsevier, vol. 64(C).

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