|
on Knowledge Management and Knowledge Economy |
|
Issue of 2025–05–12
three papers chosen by Laura Nicola-Gavrila, Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Jennifer Alix-García; Christopher R. Knittel |
| Abstract: | Mangroves provide vital ecosystem services like storm surge protection and carbon sequestration, but their coverage is rapidly declining. This study evaluates an environmental education program in the Dominican Republic, targeting children’s attitudes, knowledge, behaviors, and willingness to pay for conservation. The program boosted attitudes, especially in girls, with modest, non-significant behavioral changes. There were also positive spillover effects on peers and parents, with non-treated peers in clubs showing increased mangrove preference and positive attitude shifts in parents. |
| JEL: | C93 I25 Q57 |
| Date: | 2025–04 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:33675 |
| By: | Joshua S. Gans |
| Abstract: | This paper examines how the introduction of artificial intelligence (AI), particularly generative and large language models capable of interpolating precisely between known data points, reshapes scientists' incentives for pursuing novel versus incremental research. Extending the theoretical framework of Carnehl and Schneider (2025), we analyse how decision-makers leverage AI to improve precision within well-defined knowledge domains. We identify conditions under which the availability of AI tools encourages scientists to choose more socially valuable, highly novel research projects, contrasting sharply with traditional patterns of incremental knowledge growth. Our model demonstrates a critical complementarity: scientists strategically align their research novelty choices to maximise the domain where AI can reliably inform decision-making. This dynamic fundamentally transforms the evolution of scientific knowledge, leading either to systematic “stepping stone” expansions or endogenous research cycles of strategic knowledge deepening. We discuss the broader implications for science policy, highlighting how sufficiently capable AI tools could mitigate traditional inefficiencies in scientific innovation, aligning private research incentives closely with the social optimum. |
| JEL: | D82 O30 O34 |
| Date: | 2025–03 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:33566 |
| By: | Michael Koch; Antonella Nocco |
| Abstract: | This paper introduces a novel mechanism by emphasizing benefits for firms through participation in buyer networks among firms that source the same locally produced inputs. In a first step, we utilize register-based data from Denmark to generate a firm-specific buyer network variable which relies on firms’ industrial input structures and imports. Utilizing this proxy we provide evidence of cost savings from network participation, as larger buyer networks reduce firms’ input demand. Subsequently, we develop a trade model incorporating vertical linkages and introduce network effects that result in savings in intermediate costs. Our theory posits that the magnitude of these savings may be associated with the effectiveness of knowledge transmission among network participants. Consequently, firms operating in regions with efficient knowledge transmission networks may realize greater savings in intermediate input costs, leading to increased profits from local and export sales. In a last step, we provide empirical evidence supporting our theoretical predictions by demonstrating the positive impact of buyer networks based on relationship-specific products on domestic firm revenues. |
| Keywords: | new trade theory, vertical linkages, network effects. |
| JEL: | F12 F15 R12 |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_117815 |