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on Economics of Strategic Management |
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Issue of 2024‒04‒22
six papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Serenella Caravella; Giovanni Cerulli; Francesco Crespi; Eleonora Pierucci |
| Abstract: | This paper analyses the growth-enhancing effect of different types of innovative activities, i.e., standard-innovation and eco-innovation by focusing on the potential role of exports in mediating the innovation-growth nexus. The empirical study is carried out on a representative sample of Italian firms built by integrating data from the Italian CIS-Community Innovation Survey with the ASIA-FRAME database of the Italian National Statistical Office (ISTAT), which reports information on export values and employment dynamics. The econometric analysis applies Structural Equations Models (SEM) and a two-step counterfactual analysis. Results show that export activities, spurred by engagement in innovation efforts, represent a powerful transmission channel through which innovation displays its effect on firms’ growth. Moreover, results highlight the existence of some heterogeneity in the capacity of different types of innovation activities, i.e., standard-innovation and eco-innovation to leverage the export channel to foster firms’ growth. In particular, the empirical evidence has identified a stronger indirect export-mediated impact for Efficiency-improving (EFI) than for Pollutionreducing (PR) Eco-innovation. |
| Keywords: | Eco-innovation, Export-mediated effect, Innovation-growth nexus |
| JEL: | Q52 Q55 L25 |
| Date: | 2024–03 |
| URL: | http://d.repec.org/n?u=RePEc:rtr:wpaper:0282&r=cse |
| By: | Leogrande, Angelo |
| Abstract: | In the following article I take into consideration the role of knowledge workers in the Italian regions. The analysed data refers to the ISTAT-BES database. The metric analysis consists of an in-depth analysis of the trends of the regions and macro-regions, followed by clustering with the k-Means algorithm, the application of machine learning algorithms for prediction, and the presentation of an econometric model with panel methods date. The results are also critically discussed in light of the North-South divide and the economic policy implications. |
| Keywords: | Innovation, Innovation and Invention, Management of Technological Innovation and R&D, Technological Change, Intellectual Property and Intellectual Capital |
| JEL: | O3 O30 O31 O32 O33 O34 |
| Date: | 2024–03–26 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120550&r=cse |
| By: | Kruglov, Panteleimon |
| Abstract: | This study explores the relationship between R&D intensity, as a measure of innovation, and financial performance among S&P 500 companies over 100 quarters from 1998 to 2023, including multiple crisis periods. It challenges the conventional wisdom that larger companies are more prone to innovate, using a comprehensive dataset across various industries. The analysis reveals diverse associations between innovation and key financial indicators such as firm size, assets, EBITDA, and tangibility. Our findings underscore the importance of innovation in enhancing firm competitiveness and market positioning, highlighting the effectiveness of countercyclical innovation policies. This research contributes to the debate on the role of R&D investments in driving firm value, offering new insights for both academic and policy discussions. |
| Keywords: | Innovation, Financial Crises, financial valuation |
| JEL: | E44 O33 |
| Date: | 2024–03–07 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120404&r=cse |
| By: | Leogrande, Angelo |
| Abstract: | In this article I analysed the trend of innovation in the production system in the Italian regions using ISTAT-BES data. After presenting a static analysis and innovation trends of the production system, I present a clustering with a k-Means algorithm optimized with the Silhouette coefficient. Subsequently, an econometric analysis is presented for estimating the determinants of innovation in production systems. Finally, the results are critically discussed with economic policy recommendations. |
| Keywords: | Innovation, Innovation and Invention, Management of Technological Innovation and R&D, Technological Change, Intellectual Property and Intellectual Capital |
| JEL: | O30 O31 O32 O33 O34 |
| Date: | 2024–03–25 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120542&r=cse |
| By: | J. Daniel Kim; Joonkyu Choi; Nathan Goldschlag; John Haltiwanger |
| Abstract: | Using administrative data from the U.S. Census Bureau, we introduce a new public-use database that tracks activities across firm growth distributions over time and by firm and establishment characteristics. With these new data, we uncover several key trends on high-growth firms—critical engines of innovation and economic growth. First, the share of firms that are high-growth has steadily decreased over the past four decades, driven not only by falling firm entry rates but also languishing growth among existing firms. Second, this decline is particularly pronounced among young and small firms, while the share of high-growth firms has been relatively stable among large and old firms. Third, the decline in high-growth firms is found in all sectors, but the information sector has shown a modest rebound beginning in 2010. Fourth, there is significant variation in high-growth firm activity across states, with California, Texas, and Florida having high shares of high-growth firms. We highlight several areas for future research enabled by these new data. |
| Keywords: | Firm Growth, Business Dynamism, Entrepreneurship, Business Dynamics Statistics |
| JEL: | L11 L25 L26 O30 O40 |
| Date: | 2024–03 |
| URL: | http://d.repec.org/n?u=RePEc:cen:wpaper:24-11&r=cse |
| By: | Gupta, Ashish |
| Abstract: | The primary objective of this study is to assess the significance of the knowledge diffusion process in relation to the employment outcomes resulting from sustainable development investments made by major multinational corporations. To gauge the degree of technological interconnectedness among these companies, we employ a measure derived from the distribution of environmentally friendly patents. Within this analytical framework, we aim to decipher the multifaceted factors influencing labor innovation outcomes, which encompass both the displacement of jobs and the compensation effects stemming from innovation. This study delves into two primary research inquiries. Firstly, we examine whether investments in the green economy stimulate job creation at the firm level, specifically within three distinct environmental domains: water, waste, and energy. Secondly, we seek to understand the extent to which the diffusion of knowledge plays a pivotal role in supporting labor within an environmental context. This is achieved by scrutinizing the impact of intra-industry externalities. The research emphasizes the need not only for economic incentives to facilitate the transition to cleaner technologies but also for more robust measures aimed at promoting job generation within the environmental sector. This dual approach is essential for realizing a fully sustainable paradigm within these corporations. |
| Keywords: | labor demand, employment, international trade |
| JEL: | F1 F13 F16 |
| Date: | 2024–03–01 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:120383&r=cse |