Estimating the influence of KIBS spillovers through the knowledge production function and the role of international trade

Fernando Félix , Varun Gupta , Luis Rubalcaba
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Abstract

A research gap exists regarding how research and development (R&D) expenditures contribute to the generation of innovative spillovers through knowledge-intensive business services (KIBS), particularly within the manufacturing and business services subsectors. These spillovers have a networking effect on innovation products in the manufacturing and services subsectors, as captured by the knowledge production function (KPF). The study proposes a two-stage model for analyzing the elasticities of production and economies of scale that arise from estimating singular knowledge production functions within a regional trade system. This model is tested for the case of the trade agreement of the United States, Mexico, and Canada (USMCA). The main results express that R&D expenditures embodied in KIBS spillovers have a significant effect on the generation of innovation outputs, in each of the USMCA countries and, reveal increasing returns to scale. Also, KPF elasticities, for the capital and the labor variables, proved to be inelastic and exhibited constant returns to scale. Additionally, the different estimates in each one of the USMCA countries expose diverse technologies of scale among the three countries.

通过知识生产函数和国际贸易的作用估算知识、创新和生物多样性溢出效应的影响
关于研究与开发(R&D)支出如何通过知识密集型商业服务(KIBS),尤其是制造业和商业服务子行业内的知识密集型商业服务,促进创新溢出效应的产生,存在着研究空白。正如知识生产函数(KPF)所反映的那样,这些溢出效应对制造业和服务业子行业的创新产品产生了网络效应。本研究提出了一个两阶段模型,用于分析在区域贸易体系内估算奇异知识生产函数所产生的生产弹性和规模经济。该模型以美国、墨西哥和加拿大贸易协定(USMCA)为案例进行了检验。主要结果表明,KIBS 溢出效应所体现的研发支出对美国、墨西哥和加拿大三国创新产出的产生有显著影响,并显示出规模回报的增加。同时,资本和劳动力变量的 KPF 弹性被证明是无弹性的,并表现出不变的规模回报。此外,USMCA 各国不同的估计值显示了三个国家规模技术的多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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