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Jan 1, 2022 · The main crowding-in effect derives from the work of high-ability scientists in the public sector who would otherwise be inactive. Crowding-out occurs when resources are diverted from the private sector (to no net gain in scientific activity) and the commercial potential of science is under-exploited.
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Random-effects regression models show that, contrary to arguments that are prevalent in the literature, studies that take subsidies to organizations as a measure of government support are less likely to estimate crowding-out than studies that use a measure of direct government expenditures.
Apr 3, 2020 · Drawing on self-determination theory, this study offers a detailed map of the factors that can explain the relationship between performance-related rewards and PSM, while also reconciling contradictory research findings to date and making several propositions for empirical research. KEYWORDS: Public service motivation.
- Roxana Corduneanu, Adina Dudau, Georgios Kominis
- 2020
Jun 7, 2021 · A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources.
May 5, 2022 · A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.
Sep 22, 2010 · Economists use the term “crowding out” to refer to the contraction in economic activity associated with deficit-financed spending. 7 As a result of crowding out, government spending yields less economic growth and this must be weighed against whatever positive impact results from government spending. 8.
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Apr 9, 2021 · Proponents claim that crowdsourcing helps researchers quickly and affordably recruit enough human subjects with diverse backgrounds to generate significant statistical power, while critics raise concerns about unreliable data quality, labor exploitation, and unequal power dynamics between researchers and workers.