INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH

• Autor(a) principal: Almeida, Helberte João França
• Data de Publicação: 2019
• Outros Autores: Giovanini, Adilson, Pereira, Wallace Marcelino, Coelho, Alexandre Rodrigues Alves
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Análise Econômica (Online)
• Texto Completo: https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622
• topic: Inovação; Externalidades; Modelo de escolhas discretas; O31; O32; O33; Innovation; Externalities; Model of discrete choices; O31; O32; O33

The paper uses agent-based modeling to identify the types of learning adoptedby firms in an emerging market structure and a dynamic framework of technical change thatis expressed through learning effort. Thus, the computational model elaborated considersthat firms have two different sources of incentive to innovation: a) incentives internal tothe firm; and b) incentives outside the firm. Innovation data provided by (PINTEC) for thetextile and machinery and equipment sector were used to calibrate the developed model.The results suggest that the learning adopted by firms in the machinery and equipmentsector is sensitive to the incentive source. In turn, the learning adopted by firms that makeup the textile sector are not very sensitive to the source of the incentives, and to the degree of heterogeneity with which firms perceive external incentives.