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Endogenous growth and technological progress with innovation driven by social interactions

机译:社会互动推动创新带来的内生增长和技术进步

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We analyze the implications of innovation and social interactions on economic growth in a stylized endogenous growth model with heterogeneous research firms. A large number of research firms decide whether to innovate or not, by taking into account what competitors (i.e., other firms) do. This is due to the fact that their profits partly depend on an externality related to the share of firms which actively engage in research activities. Such a share of innovative firms also determines the evolution of technology in the macroeconomy, which ultimately drives economic growth. We show that when the externality effect is strong enough multiple BGP equilibria may exist. In such a framework, the economy may face a low growth trap suggesting that it may end up in a situation of slow long-run growth; however, such an outcome may be fully solved by government intervention. We also show that whenever multiple BGP exist, they are metastable meaning that the economy may cyclically fluctuate between the low and high BGP as a result of shocks affecting the individual behavior of research firms.
机译:在具有异构研究公司的程式化内生增长模型中,我们分析了创新和社会互动对经济增长的影响。许多研究公司通过考虑竞争对手(即其他公司)的行为来决定是否进行创新。这是因为它们的利润部分取决于与积极从事研究活动的公司所占份额相关的外部性。创新型企业的这种份额也决定了宏观经济中技术的发展,最终推动了经济增长。我们证明,当外部性效应足够强时,可能存在多个BGP平衡。在这样的框架下,经济可能会面临低增长陷阱,这表明它可能会陷入长期增长缓慢的局面。但是,这种结果可以通过政府干预得到完全解决。我们还表明,只要存在多个BGP,它们都是亚稳态的,这意味着经济可能会因影响研究公司的个人行为的冲击而在低和高BGP之间周期性波动。

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