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on Innovation |
| By: | Krieger, Bastian; Scrofani, Stefania; Strecke, Linus |
| Abstract: | We explore the association between signaling and conducting innovation collaborations with public research organizations and firms' revenues from firm and market novelties. Based on data from the German Community Innovation Survey 2023 and web-based indicators, firms conducting collaboration report higher revenues from market novelties, suggesting their relevance for the performance of more radical innovations. Firms signaling collaboration through website content report higher revenues from firm novelties, suggesting relevance for the performance of more incremental innovations. These findings indicate distinct mechanism in how collaborations with public research organizations relate to innovation performance. |
| Keywords: | University-Industry Transfer, Innovation Performance, Signaling |
| JEL: | O31 O36 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:zewdip:312575 |
| By: | Diego Ambasz; Javier Sanchez-Reaza; Pluvia Zuniga |
| Keywords: | Science and Technology Development-Innovation Science and Technology Development-Technology Innovation Science and Technology Development-Research and Development |
| Date: | 2023–05 |
| URL: | https://d.repec.org/n?u=RePEc:wbk:wboper:39826 |
| By: | Czarnitzki, Dirk; Lepers, Robin; Pellens, Maikel |
| Abstract: | The circular economy represents a systematic shift in production and consumption, aimed at extending the life cycle of products and materials while minimizing resource use and waste. Achieving the goals of the circular economy presents firms with the challenge of innovating new products, technologies, and business models, however. This paper explores the role of artificial intelligence as an enabler of circular economy innovations. Through an empirical analysis of the German Community Innovation Survey, we show that firms investing in artificial intelligence are more likely to introduce circular economy innovations than those that do not. Additionally, the results indicate that the use of artificial intelligence enhances firms' abilities to lower production externalities (for instance, reducing pollution) through these innovations. The findings of this paper underscore artificial intelligence's potential to accelerate the transition to the circular economy. |
| Keywords: | Circular economy, Innovation, Artificial intelligence |
| JEL: | Q55 O31 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:zewdip:312577 |
| By: | Suelene Mascarini; Pierre-Alexandre Balland; Renato Garcia |
| Abstract: | This study examined the effects of intra-regional and transnational linkages on technological diversification in Brazilian regions from 1997 to 2020, highlighting the role of stakeholder collaboration in fostering knowledge and skill development. Our findings reveal that regional linkages positively influence diversification, whereas transnational connections primarily help to preserve existing technological specialisations. These results offer valuable insights for policymakers seeking to promote innovation and diversification in emerging economies, underscoring the importance of both regional and international collaborations for technological growth. This study investigates how intra-regional and transnational linkages affect technological diversification in Brazilian regions between 1997 and 2020. We focus on both the emergence of new technological specialisations and the persistence of existing ones. Using patent data from the Brazilian Patent Office and panel regression models with fixed effects, we examine how the structure of inter-regional and international connections relates to the dynamics of diversification. Our findings suggest that domestic regional linkages promote the entry of new specialisations, while transnational linkages are more closely associated with the retention of existing ones. These results offer insights for policymakers seeking to foster innovation in emerging economies by strengthening both regional networks and global connections. |
| Keywords: | transnational linkages; regional linkages; complementary capabilities; regional diversification. |
| JEL: | O19 O31 R11 |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:egu:wpaper:2509 |
| By: | Kraft, Kornelius; Rammer, Christian |
| Abstract: | Reverse engineering allows firms to learn about critical components and design features of competitors' technologies. Historically, reverse engineering has often been used to help technological laggards to catch-up and profit from other's inventions. However, through reverse engineering firms may also obtain knowledge that can be used for own innovation efforts beyond mere imitation, making it a relevant knowledge acquisition channel for technological leading firms in high-tech economies. Based on data from the German part of the Community Innovation Survey (CIS), this paper provides empirical evidence on the characteristics of firms that use reverse engineering, and whether reverse engineering can lead to superior innovation performance in terms of commercializing innovations with a high degree of novelty. Our results suggest that in the context of a high-tech economy, it is rather firms that operate under fierce price competition that use reverse engineering, helping them to obtain higher innovation output, though for innovations with a low degree of novelty. |
| Keywords: | Reverse engineering, knowledge spillovers, innovation output |
| JEL: | O31 O33 D83 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:zewdip:313008 |
| By: | Nelli, Linnea; Virgillito, Maria Enrica; Vivarelli, Marco |
| Abstract: | The aim of this paper is to understand whether what has been labelled as "twin transition", at first as a policy flagship, endogenously emerges as a new technological trajectory stemming by the convergence of the green and digital technologies. Embracing an evolutionary approach to technology, we first identify the set of relevant technologies defined as "green", analyse their evolution in terms of dominant blocks within the green technologies and concurrences with digital technologies, drawing on 560, 720 granted patents by the US Patent Office from 1976 to 2024. Three dominant blocks emerge as relevant in defining the direction of innovative efforts, namely energy, transport and production processes. We assess the technological concentration and underlying complexity of the dominant blocks and construct counterfactual scenarios. We hardly find evidence of patterns of actual endogenous convergence of green and digital technologies in the period under analysis. On the whole, for the time being, the "twin transition" appears to be just a policy flagship, rather than an actual endogenous technological trajectory driving structural change. |
| Keywords: | Twin transition, policy flagship, technological trajectories |
| JEL: | O33 Q55 Q58 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:glodps:1580 |
| By: | Jesse LaBelle (Northwestern University); Inmaculada Martinez-Zarzoso (Universitat Jaume I); Ana Maria Santacreu (FRB of St. Louis); Yoto Yotov (School of Economics, Drexel University) |
| Abstract: | We build a model of cross-border patent filing, technology diffusion, and development. Our theory delivers a ‘structural gravity’ equation for cross-border patent flows that disentangles the effects of technology diffusion from policy-driven changes in IPR protection. To test the model’s predictions, we compile the International Patent and Citations across Sectors (INPACT-S) database that tracks patents within and between countries and industries over time. The econometric analysis reveals that while policy efforts have effectively promoted cross-border patent flows, the surge in patents from developed (North) to developing (South) countries between 1995 and 2018 was primarily driven by increased technology diffusion. A numerical analysis shows these North-South flows benefited both regions but generated larger gains in the South, thus reducing global income inequality. |
| Keywords: | Cross-border Patents, Gravity, Technology Diffusion, Development, Policy. |
| JEL: | F63 O14 O33 O34 |
| Date: | 2025–07 |
| URL: | https://d.repec.org/n?u=RePEc:drx:wpaper:202507 |
| By: | Sanjit Dhami; Paolo Zeppini (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur) |
| Abstract: | We consider firms' choices between a clean technology that benefits, and a dirty technology that harms, the environment. Green firms are more suited to the clean technology and brown firms are more suited to the dirty technology. We use a model derived from complexity theory that takes account of true uncertainty and increasing returns to technology adoption. We examine theoretically, the properties of the long-run equilibrium, and provide simulated time paths of technology adoption, using plausible dynamics. The long-run outcome is an 'emergent property' of the system, and is unpredictable despite there being no external technological or preference shocks. We describe the role of taxes and subsidies in facilitating adoption of the clean technology; the conflict between optimal Pigouvian taxes and adoption of clean technologies; the optimal temporal profile of subsidies; and the desirability of an international fund to provide technology assistance to poorer countries. |
| Keywords: | Technology choice, Climate change, Complexity, Lock-in effects, Increasing returns, Green subsidies, Public policy, Pigouvian taxes, Stochastic dynamics |
| Date: | 2025–05 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04998831 |
| By: | MATSUURA Toshiyuki; SAITO Hisamitsu |
| Abstract: | Using Japanese plant product-level data, this study focuses on the impact of increasing import competition pressure on changes in product portfolios by examining product entry and exit. We also consider the role of R&D activities at the plant level. While previous research on the adjustment of product portfolios for multi-product firms has emphasized the narrowing of products to core products, we show that firms engaged in R&D activities actively replace existing products with new ones and expand into new business fields due to increased import competition. These results are consistent with those of several studies on the relationship between competition and innovation. We also find that these effects are more pronounced in regions with larger public R&D stocks and in high-tech sectors. |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:eti:dpaper:25020 |
| By: | Luca Fontanelli; Mattia Guerini; Raffaele Miniaci; Angelo Secchi |
| Abstract: | While artificial intelligence (AI) adoption holds the potential to enhance business operations through improved forecasting and automation, its relation with average productivity growth remain highly heterogeneous across firms. This paper shifts the focus and investigates the impact of predictive artificial intelligence (AI) on the volatility of firms' productivity growth rates. Using firm-level data from the 2019 French ICT survey, we provide robust evidence that AI use is associated with increased volatility. This relationship persists across multiple robustness checks, including analyses addressing causality concerns. To propose a possible mechanisms underlying this effect, we compare firms that purchase AI from external providers ("AI buyers") and those that develop AI in-house ("AI developers"). Our results show that heightened volatility is concentrated among AI buyers, whereas firms that develop AI internally experience no such effect. Finally, we find that AI-induced volatility among "AI buyers" is mitigated in firms with a higher share of ICT engineers and technicians, suggesting that AI's successful integration requires complementary human capital. |
| Keywords: | Artificial intelligence, productivity growth volatility, coarsened exact matching |
| Date: | 2025–04–07 |
| URL: | https://d.repec.org/n?u=RePEc:ssa:lemwps:2025/12 |