Understanding how market demand influences academic research is crucial for comprehending the innovation process and informing policy decisions. This study examines the impact of the 2003 Medicare Part D legislation on biomedical journal article production across diseases. Using a difference-in-differences framework, together with a sample of over 2 million original research articles published between 1987 and 2015 sourced from PubMed database, I find a relatively 18.5% increase in academic publications on diseases more common among Medicare beneficiaries, indicating responsiveness to market demand. Further analysis shows that non-government funding significantly contributed to this increase. However, these additional publications tend to be of lower quality, as measured by citations, patent citations, and journal impact factors. This suggests a trade-off between the quantity and quality of research outputs. Overall, this paper highlights how market demand influences academic production, demonstrating that healthcare policy changes, such as Medicare Part D, can spur academic research output and reshape research focus. Policymakers should consider these spillover effects to balance research quantity and quality while ensuring equitable benefits.
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http://dx.doi.org/10.1016/j.socscimed.2025.117696 | DOI Listing |
Soc Sci Med
January 2025
The Ohio State University, 1945 N High Street, Columbus, OH, 43210, USA. Electronic address:
Understanding how market demand influences academic research is crucial for comprehending the innovation process and informing policy decisions. This study examines the impact of the 2003 Medicare Part D legislation on biomedical journal article production across diseases. Using a difference-in-differences framework, together with a sample of over 2 million original research articles published between 1987 and 2015 sourced from PubMed database, I find a relatively 18.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
Department of Bioresource Engineering, McGill University, Macdonald Campus, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
This study aims to develop rapid and non-invasive methods based on near-infrared hyperspectral imaging and chemometrics for quantitative prediction of chemical compositions of pea-derived products. Hyperspectral imaging was used to acquire images from pea processing streams, namely pea flour, pea protein concentrate, and pea protein isolate. The PLS algorithm was used to develop quantitative prediction models based on the relationship between the hyperspectral image data and the chemical compositions of the pea products, including moisture, protein, ash, insoluble fiber, and total starch.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Centro Valenciano de Estudios sobre el Riego, Universitat Politècnica de València, Camí de Vera, s/n, 46022 Valencia, Valencia, Spain.
Agriculture accounts for over 70% of global freshwater consumption, with increasing competition for water resources due to climate change and rising urban and industrial demands. This study analyzes the effect of deficit irrigation (DI) on the agronomic and physiological performance of pomegranate ( L.) in a Mediterranean climate.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Information Engineering, University of Florence, 50139 Florence, Italy.
The increasing demand for personalized healthcare, particularly among individuals requiring continuous health monitoring, has driven significant advancements in sensor technology. Wearable, non-continuous monitoring, and non-contact sensors are leading this innovation, providing novel methods for monitoring vital signs and physiological data in both clinical and home settings. However, there is a lack of comprehensive comparative studies assessing the overall functionality of these technologies.
View Article and Find Full Text PDFLife (Basel)
January 2025
Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China.
This review explores the evolving role of the tea green leafhopper, , in the tea industry, transitioning from a recognized pest to a significant enhancer of tea quality. Recent research highlights how its feeding behavior stimulates the production of desirable secondary metabolites, thereby improving the flavor profiles and market value of premium teas, particularly varieties like Taiwan's "Oriental Beauty". As consumer demand for unique and artisanal teas rises, the economic benefits associated with are becoming increasingly evident, prompting farmers to adopt sustainable agricultural practices that often involve reduced pesticide use.
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