Innovation policy and public funding to stimulate innovation in knowledge intensive companies: the influence of human and social capital

S. Câmara, Brenno Buarque, Glauco Paula Pinto, Thiago Vasconcelos Ribeiro, J. Soares
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This specific policy adopted the funding model of economic subsidy by means of grants, which shows the significant engagement of the public sector in applying nonrefundable resources more directly through loans, assuming the role of an entrepreneurial state, according to Mazzucato (2011, 2018) and Tavani and Zamparelli (2020).\n\n\nDesign/methodology/approach\nThis is a quantitative-descriptive study, according to Marconi and Lakatos (2017). This study is descriptive, for presenting information on innovation projects funded by FUNCAP (Ceará Foundation for Support to Scientific and Technological Development). 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The results presented that the degree of efficiency of the public funding program depends on how much the teams of the benefited projects have accumulated knowledge, skills and technical capacities – the so-called teams’ human capital.\n\n\nResearch limitations/implications\nIt is important to address the research sample as a research limitation, which had 72 responses obtained, from a submission rate of 284. Another study limitation is on the qualitative analysis of the topics addressed from the companies and policymakers perspectives, considering that the quantitative nature of the study does not allow for a deeper understanding of the qualitative perspective of the actors involved in the phenomenon studied. As recommendations for future studies, it is suggested to conduct qualitative studies on the aspects studied here. In this sense, it is possible to conduct case studies for specific companies, or policymakers, to clarify and deepen the relationships between the themes addressed here.\n\n\nPractical implications\nAs for the practical implications of the research, both for managers of public funding programs and for company managers, the benefits of human capital, related to innovative project development teams, are important in programs that deal with technological development projects. 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Abstract

Purpose This study aims to evaluates a public policy program that finances projects for the development of innovative technological solutions. This paper analyzed the influence of human and social capital on the development of the projects, under the perspective of the policy’s effectiveness and efficiency. This specific policy adopted the funding model of economic subsidy by means of grants, which shows the significant engagement of the public sector in applying nonrefundable resources more directly through loans, assuming the role of an entrepreneurial state, according to Mazzucato (2011, 2018) and Tavani and Zamparelli (2020). Design/methodology/approach This is a quantitative-descriptive study, according to Marconi and Lakatos (2017). This study is descriptive, for presenting information on innovation projects funded by FUNCAP (Ceará Foundation for Support to Scientific and Technological Development). In addition, this study is quantitative, by establishing multivariate relationships among the variables that relate to human capital and social capital, which are relevant to technological and innovative development, and by introducing variables on technological evolution, proposed as measures of the program’s effectiveness (DTRL, MkTRL) and efficiency (ETRL). Findings This paper sought to contribute on public policies for innovation, more specifically on analyzing variables that may affect the development of technological and innovative projects in knowledge-intensive companies. The authors studied capitals potentially important for these companies in the development of innovative projects. Specifically, the authors sought to understand the importance of human capital and how it reflects in technical and scientific knowledge of the project team and of social capital and how it reflects the connection and social relationship among different team members. The results presented that the degree of efficiency of the public funding program depends on how much the teams of the benefited projects have accumulated knowledge, skills and technical capacities – the so-called teams’ human capital. Research limitations/implications It is important to address the research sample as a research limitation, which had 72 responses obtained, from a submission rate of 284. Another study limitation is on the qualitative analysis of the topics addressed from the companies and policymakers perspectives, considering that the quantitative nature of the study does not allow for a deeper understanding of the qualitative perspective of the actors involved in the phenomenon studied. As recommendations for future studies, it is suggested to conduct qualitative studies on the aspects studied here. In this sense, it is possible to conduct case studies for specific companies, or policymakers, to clarify and deepen the relationships between the themes addressed here. Practical implications As for the practical implications of the research, both for managers of public funding programs and for company managers, the benefits of human capital, related to innovative project development teams, are important in programs that deal with technological development projects. In practice, this means that the greater the human capital of academic background of the members of the supported project teams, the more efficient the projects are in the process of developing their technologies by using the resources provided (Ashford, 2000; Chen et al., 2008; Lerro et al., 2014). Social implications Hence, the authors conclude that the evaluated innovation-funding program through grants achieved acceptable results in terms of promoting the technological evolution of the benefited projects and bringing the technologies closer to the market. Its efficiency was the least favorable result, showing that the program needs to focus on improving this specific aspect. Within the investigated program, the issue that needs enhancement (efficiency – ETRL) was the one that presented significant relationships with the human and social capital of the benefited projects’ teams. Thus, it is possible that, by selecting more projects that have teams with high capital, the efficiency of the public policy, in this case the development of projects with high technological and innovative potential, will be possibly reached. Originality/value The findings strengthen the need for innovation public policies designed and implemented in a systemic way in the science, technology and innovation ecosystem, to provide a technological infrastructure and human capital necessary for developing projects with high technological and innovative potential (Ergas, 1987; Audretsch and Link, 2012; Caloghirou et al., 2015; Edler and Fagerberg, 2017; Silvio et al., 2019).
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激励知识密集型企业创新的创新政策和公共资金:人力资本和社会资本的影响
目的本研究旨在评估一项公共政策计划,该计划为创新技术解决方案的开发项目提供资金。本文从政策有效性和效率的角度分析了人力资本和社会资本对项目发展的影响。根据Mazzucato(2011, 2018)和Tavani and Zamparelli(2020)的研究,这一具体政策采用了通过赠款方式进行经济补贴的资助模式,这表明公共部门通过贷款更直接地参与了不可退还资源的应用,承担了创业国家的角色。设计/方法/方法根据Marconi和Lakatos(2017)的说法,这是一项定量描述性研究。本研究是描述性的,用于介绍由联合国科学技术发展支持基金会资助的创新项目的信息。此外,本研究是定量的,通过建立与技术和创新发展相关的人力资本和社会资本变量之间的多元关系,并通过引入技术演进变量,提出作为衡量项目有效性(DTRL, MkTRL)和效率(ETRL)的指标。本文试图为创新的公共政策做出贡献,更具体地说,是分析可能影响知识密集型公司技术和创新项目发展的变量。作者研究了资本对这些公司开发创新项目的潜在重要性。具体而言,作者试图了解人力资本的重要性,以及它如何反映在项目团队的技术和科学知识和社会资本中,以及它如何反映不同团队成员之间的联系和社会关系。结果表明,公共资助计划的效率程度取决于受益项目的团队积累了多少知识、技能和技术能力,即所谓的团队人力资本。研究限制/影响重要的是要将研究样本作为研究限制,该研究样本从284个提交率中获得了72个回复。另一项研究的局限性是从公司和政策制定者的角度对主题进行定性分析,考虑到研究的定量性质不允许更深入地了解所研究现象中涉及的行为者的定性视角。作为对未来研究的建议,建议对本文研究的方面进行定性研究。从这个意义上说,有可能对特定的公司或政策制定者进行案例研究,以澄清和深化这里所讨论的主题之间的关系。对于公共基金项目的管理者和公司管理者来说,研究的实际意义在于,与创新项目开发团队相关的人力资本的好处在处理技术开发项目的项目中是重要的。在实践中,这意味着所支持的项目团队成员的学术背景的人力资本越大,项目在利用所提供的资源开发其技术的过程中效率就越高(Ashford, 2000;Chen et al., 2008;Lerro et al., 2014)。结果表明,在促进项目的技术演进和使技术更接近市场方面,评估的创新资助计划取得了可接受的结果。其效率是最不利的结果,表明该方案需要着重改进这一具体方面。在被调查的项目中,需要提高的问题(效率- ETRL)是与受益项目团队的人力和社会资本存在重要关系的问题。因此,通过选择更多拥有高资本团队的项目,有可能达到公共政策的效率,在这种情况下,开发具有高技术和创新潜力的项目。独创性/价值研究结果强调需要在科学、技术和创新生态系统中以系统的方式设计和实施创新公共政策,为开发具有高技术和创新潜力的项目提供必要的技术基础设施和人力资本(Ergas, 1987;Audretsch and Link, 2012;Caloghirou et al., 2015;Edler and Fagerberg, 2017;Silvio et al., 2019)。
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CiteScore
5.90
自引率
8.70%
发文量
57
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