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The Canadian federal government, anxious to stimulate innovation, announced recently a policy objective for the economy: the attainment of industrial research expenditures reaching 1.5 percent of the gross national product. The proposed substantial increase over the current level is rationalized by comparison with economy-wide research intensities (GERD/GNP) in other OECD countries.This paper questions the economic validity and policy relevance of international aggregate comparisons. It argues that inter-country comparisons should take place at individual industry levels where technologies are similar and proposes a methodology for formulating R&D spending targets of this kind. The procedure is to estimate a model of the determinants of R&D intensity with data from several “criterion countries” and employ the results to “predict” a specific industry's research intensity in another country.In this paper such a model is formulated for the pharmaceutical industry of seven OECD countries. Plausible parameter estimates are derived and used to “forecast” the research intensity of the Canadian pharmaceutical industry. It is found that given the predominance of foreign ownership, the nature of patent protection and the level of other relevant variables in Canada, the performance of this sector is much above the OECD-derived standard; this Canadian industry presumably does not require governmental attention to its R&D activities. 相似文献
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Leslie A. Hayduk Hannah Pazderka Robinson Greta G. Cummings Kwame Boadu Eric L. Verbeek Thomas A. Perks 《Structural equation modeling》2013,20(2):280-310
Researchers using structural equation modeling (SEM) aspire to learn about the world by seeking models with causal specifications that match the causal forces extant in the world. This quest for a model matching existing worldly causal forces constitutes an ontology that orients, or perhaps reorients, thinking about measurement validity. This article illustrates several ways the seemingly innocuous quest for structural equation models that mirror “the world beyond” confronts entrenched notions of measurement validity. The article begins by considering simple measurement models and ends by “discovering” a new class of indicators called reactive indicators. Reactive indicators act as both the cause and effect of an underlying latent variable. The identifiability of a simple model containing a reactive indicator is proven and a research example illustrating the use of a reactive indicator is provided. However, the real challenge is to understand how an indicator can be both a cause and effect of the latent it measures. The understanding does not come from complying with the traditional rules for reliability and validity, but from focusing on the quest to make the structural equation model match the structuring of the worldly forces we seek to understand. Valid measurement in the context of a weirdly structured world requires an equally weird structural equation model. 相似文献
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