Firm clusters are seen as having a positive effect on innovations, what can be interpreted as economies of scale or knowledge spillovers. The processes underlying the success of these clusters remain difficult to isolate. We propose in this paper a stylised agent-based model to test the role of geographical proximity and informal knowledge exchanges between firms on the emergence of innovations. The model is run on synthetic firm clusters. Sensitivity analysis and systematic model exploration unveil a strong impact of interaction distance on innovations, with a qualitative shift when spatial interactions are more intense. Model bi-objective optimisation shows a compromise between innovation and product diversity, suggesting trade-offs for clusters in practice. This model provides thus a first basis to systematically explore the interplay between firm cluster geography and innovation, from an evolutionary perspective.
翻译:公司集群被认为对创新、可被解释为规模经济或知识外溢效应具有积极影响。这些集群成功背后的过程仍然难以孤立。我们在本文件中提出一个基于标准的代理模型,以测试企业之间地理接近和非正式知识交流的作用;该模型在合成公司集群上运行。敏感度分析和系统模型探索揭示了相互作用距离对创新的强大影响,在空间互动更加密集时会发生质的转变。示范双目标优化显示创新与产品多样性之间的妥协,建议在实践中对集群进行权衡。因此,该模型为从进化角度系统探索企业集群地理和创新之间的相互作用提供了第一个基础。