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Aplicando rede de IPCs para identificar a fronteira tecnológica da bioenergia
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Palabras clave

IPC. Redes. Bioenergia. Bioeconomia. Fronteira Tecnológica.

Cómo citar

BUENO, Carolina da Silveira; SILVEIRA, José Maria Ferreira Jardim da; BUAINAIN, Antonio Marcio; DAL POZ, Maria Ester Soares. Aplicando rede de IPCs para identificar a fronteira tecnológica da bioenergia. Revista Brasileira de Inovação, Campinas, SP, v. 17, n. 2, p. 259–286, 2018. DOI: 10.20396/rbi.v17i2.8652020. Disponível em: https://periodicos.sbu.unicamp.br/ojs/index.php/rbi/article/view/8652020. Acesso em: 3 jul. 2024.

Resumen

Este artigo propõe um método para identificar clusters de fronteira tecnológica. No presente estudo, aplicamos o método para tecnologias da bioenergia. A primeira etapa metodológica utiliza patentes extraídas da Derwent Innovation Index, em que é feito um tratamento de data mining. A segunda etapa é a construção da rede de International Patents Classifications (IPCs) a partir de uma matriz de co-ocorrência. Foram identificados três clusters de conhecimento tecnológico. O primeiro é o de tecnologias de etanol e os outros dois em etapa de formação, sendo um de tecnologias que utilizam subprodutos e outro de tecnologias a partir de material celulósico. O trabalho mostra como uma base de conhecimentos gerais vai sendo apropriada e favorece a configuração de novas frentes tecnológicas que amplificam a base de conhecimento representada pelo paradigma da bioenergia.

https://doi.org/10.20396/rbi.v17i2.8652020
PDF Acesso via SciELO (English)
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Citas

ACHTERT, E.; BÖHM, C.; KRÖGER, P. DeLi-Clu: boosting robustness, completeness, usability, and efficiency of hierarchical clustering by a closest pair ranking. In: NG, W. K. et al. (Ed.). Advances in knowledge discovery and data mining. Germany: Springer, 2006. p. 119-128.

AGÊNCIA Embrapa. Embrapa apresenta tendências em bioeconomia para o Brasil. Brasília: Embrapa, 08 jun. 2016. Disponível em: https://goo.gl/FMUtiR. Acesso em: 14 jun. 2017.

ARAÚJO, W. A. Ethanol Industry: Surpassing Uncertainties and Looking Forward. In: SALLES-FILHO, S. et al. (Ed.). Global Bioethanol: Evolution, Risks, and Uncertainties. EUA: Academic Press, 2016. p. 1-33.

BATAGELJ, V.; MRVAR, A. Pajek. In: Encyclopedia of Social Network Analysis and Mining. Springer New York, 2014. p. 1245-1256.

BIC Press Release. European Bioeconomy 2013: € 2.1 trillion turnover and 18.3 million employees. Bruxelas, 2016. Disponível em: https://goo.gl/kX6VfE. Acesso em: 10 jul. 2017.

BORGES, I.; SILVEIRA, J.M.; OJIMA, A. Constrains and incentives for agriculture biotechnology in Brazil. Economia 2009; 10 (4):741-63.

BROWN, T. R.; BROWN, R.C. Techno-economics of advanced biofuels pathways, RSC Advances, 10.1039/c2ra23369j, 3, 17, (5758), (2013).

BUENO, C. S.; SILVEIRA, J. M. F. J.; BUAINAIM, A. M. International collaborative networks: sugarcane ethanol versus corn ethanol. Is there a room for technological convergence? Anais…, 20th ICABR Conference, Italy, June, 2016. ICABR International Consortium on Applied Bioeconomy Research, 2016.

BUENO, C. S.; SILVEIRA, J. M. F. J.; BUAINAIM, A. M. Innovation, networks and the paradigm of biofuels. Int. J. Entrepreneurship and Small Business, v. 3, n. 35. 2018. DOI: 10.1504/IJESB.2018.10010395

CHERUBINI, F. The biorefinery concept: using biomass instead of oil for producing energy and chemicals. Energy Conversion and Management, v. 51, n. 7, p. 1412-1421, July 2010.

CORREDOIRA, R.; BANERJEE, P. Measuring Patent's Influence on Technological Evolution: A Study of Knowledge Spanning as Driver of Inventive Activity (2014). Robert H. Smith School Research Paper No. RHS 2428452. Available at SSRN. Disponível em: https://ssrn.com/abstract=2428452. Acesso em: 14 de jan. 2018.

CORTEZ, L.A.B.; BALDASSIN JR, R. Policies towards bioethanol and their implications: case Brazil. In: SALLES-FILHO, S.; BARBOSA CORTEZ, L.; SILVEIRA, J.M.; TRINDADE, S. (Ed.). Global Bioethanol: evolution, risks and uncertainties. Academic Press, 2016. p. 142-162.

EASLEY, D.; KLEINBERG, J. Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge: Cambridge University Press, 2010.

FERRARI, V. E.; DAL-POZ, M. E. S.; SILVEIRA, J. M. J. F. The importance of intellectual property rights to the plant biotechnology industry In: The WINIR Symposium on Property Rights, 2016, Bristol, UK

FREEMAN, C; SOETE, L. The economics of industrial innovation. London: MIT Press, 1997.

GOYAL, S. Connections: An introduction to the Economics of Networks. Princeton and Oxford: Princeton University Press, 2007.

HLPE. Biofuels and food security: a report by the high-level panel of experts on food security and nutrition. Roma: Committee on World Food Security, 2013.

KEASLING, J.D (...). Rhodosporidium toruloides: a new platform organism for conversion of lignocellulose into terpene biofuels and bioproducts. Biotechnology for Biofuels. 2017, 10:241.

KOPPEJAN, D.; VAN EST, R. Bio-economy policy: inspiring but not leading. In: ASVELD, L.; VAN EST, R.; STEMERDING, D. (Ed.). Getting to the core of the bio-economy: a perspective on the sustainable promise of biomass. The Hague: Rathenau Institute, 2011. p. 35-52.

KRAFFT, J.; QUATRARO, F.; SAVIOTTI, P. The evolution of knowledge base in knowledge-intensive sectors: social network analysis of biotechnology. Italy: Università di Torino, 2009. (Working Paper Series, n. 9.)

KUHN, T. The structure of scientific revolutions. Chicago: Chicago University Press,1962.

MURAKAMI, T.; SILVEIRA, J. M.; SOUZA, L. G. A.; BUENO, C. S. Applying entropy indexes to identify technological trajectories: second-generation bioethanol production. In: ENCONTRO NACIONAL DE ECONOMIA, 43. 2015, Florianópolis. Anais... Rio de Janeiro: Anpec, 2016. Disponível em: https://ideas.repec.org/p/anp/en2015/146.html. Acesso em: 06 out. 2017.

NEWMAN, M. The structure and function of complex networks. SIAM Review, v. 45, p. 167-256, 2003.

SALLES-FILHO, S. Conclusions: Futures of Bioethanol – Main Findings and Prospects. In: SALLES-FILHO, S.; BARBOSA CORTEZ, L.; SILVEIRA, J.M.; TRINDADE, S. (Ed.). Global Bioethanol: evolution, risks and uncertainties. Academic Press, 2016. p. 238-248.

SCOTCHMER, S. The political economy of intellectual property treaties. Journal of Law, Economics, and Organization, v. 20, n. 2, p. 415-437, 2004.

SOLÉ, R. V.; MANRUBIA, S. C.; LUQUE, B.; DELGADO, J.; BASCOMPTE, J. Phase transitions and complex systems: Simple, nonlinear models capture complex systems at the edge of chaos. Complexity, v. 1, n. 4, p. 13-26, 1996.

SOUZA, L.G.A; ARANHA, G.M.; DAL POZ, M.S.; SILVEIRA, J.M.; t al. Collaborative Networks as a measure of the Innovation Systems in second-generation ethanol. Scientometrics (2015) 103: 355. doi:10.1007/s11192-015-1553-2.

TRIGO, E.; HENRY, G.; SANDERS, J.; SCHURR, U.; INGELBRECHT, I.; REVEL, C.; SANTANA, C.; ROCHA, P. Towards bioeconomy development in Latin America and the Caribbean. Bioeconomy Working Paper, 2013. Disponível em: https://goo.gl/Rb3LFg. Acesso em: 23 set. 2017.

UNITED STATES. Department of Energy. Federal activities report on the bioeconomy. Washington, DC, feb. 2016. Disponível em: https://goo.gl/zOWxsB. Acesso em: 05 dez. 2016.

WINSKEL, M.; MARKUSSON, N.; JEFFREY, H.; CANDELISE, C.; DUTTON, G.; HOWARTH, P.; JABLONSKI, S.; KALYVAS, C.; WARD, D. Learning pathways for energy supply technologies: Bridging between innovation studies and learning rates. Technological Forecasting and Social Change, v. 81, p. 96-114, 2014.

WU, X.; ZHU, X.; WU, G.; DING, W. Data mining with big data. IEEE transactions on knowledge and data engineering, v. 26, n. 1, p. 97-107, 2014.

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