This paper examines the impact of trade-related technology diffusion from G7 countries to Latin America and East Asia on total factor productivity controlling for education, governance, and distance. We build on the trade and distance-focused strands of the technology diffusion literature and find that (i) total factor productivity (TFP) increases with education, trade, and governance (ETG) and declines with distance to the G7 countries; (ii) increasing Latin America's ETG to East Asia's level would double TFP, accounting for about 75% of the TFP gap between the two country groups; and (iii) South America's greater remoteness relative to Mexico's from the US and Canada significantly reduces its TFP and similarly for Singapore's greater remoteness from Japan relative to Hong Kong.

The deployment of cleaner production technologies is supposed to be crucial to mitigate the effect of climate change. The diffusion of technology from developed to developing countries can be done through different channels. It can be a business decision such as firms' relocation, opening of a subsidiary or the adoption of technology by southern firms, or it may be decided at the government level. This paper investigates, in a two-country model (North and South), the relationship between the diffusion of mitigation technologies, firms' relocation and the environment. We assume that both countries implement a carbon tax and there are two kinds of production technology used: a relatively clean technology and a dirty one. This paper theoretically shows that the technology diffusion by technology adoption, public transfer or subsidiary creation induces a decrease in relocation, while technology diffusion via purchasing dirty southern firms may increase the number of relocated firms. The paper also demonstrates that technology diffusion may have perverse effects in the long run. Indeed, total emissions may increase with technology diffusion since southern firms become more competitive.

Background: Despite ongoing policy debate, little is known about the growth in orthopedic surgery practices with onsite magnetic resonance imaging (MRI) capacity, or practice characteristics associated with the acquisition of in-office MRI equipment.

Methods: In July 2012, American Academy of Orthopaedic Surgeons (AAOS) member practices received a web-based survey requesting general information about their practice, such as number practice providers authorized to order MRIs, the type of onsite MRI capacity present (if any), and the date of acquisition for the MRI equipment. Survey responses were augmented with county-level measures of practice area characteristics as of the year of first onsite MRI acquisition (or 2012 for practices without an onsite MRI).

Results: The survey obtained usable responses from 740 orthopedic practices, which were geographically representative of AAOS member practices. Forty percent (298) reported onsite MRI capacity. Onsite MRI acquisition occurred at a steady pace over 2000–2012, with no dramatic increase occurring in any particular year over that period. Multivariate logistic regression indicated that practice size (number of providers) was the most important factor affecting the likelihood of onsite MRI acquisition. There was no association between onsite MRI acquisition and any of the county-level practice area characteristics included in the analysis.

Conclusions: Orthopedic practices acquiring onsite MRI equipment on average are much larger than practices without onsite MRI capacity. Larger practices may be more likely to attain the economies of scale necessary to absorb the fixed costs associated with onsite MRI acquisition.

When and how can advocacy groups influence the diffusion of new technologies, such as wind power? We examine the relationship between two different strategies that advocacy groups can adopt: political lobbying and campaigns aimed at potential end users of the new technology. Our game-theoretic analysis shows that without the opportunity to engage in political lobbying, end user campaigns by an advocacy group have the counterproductive effect of reducing the government's incentive to subsidise the new technology. Instead of supporting the advocacy group's campaigning, the government free rides on the social movement's campaigning efforts. While political lobbying cannot prevent free riding, it increases the government's incentive to subsidise the new technology, and thus increases the advocacy group's payoff. These findings suggest that advocacy groups can promote technology diffusion if they can effectively deploy a dual strategy of political lobbying and end user campaigning.

To share the existing, albeit limited, experience among nations and to explore the feasibility of international collaboration on the identification and early evaluation of health care technologies, an workshop was arranged in September 1997. Twenty-seven policy makers and researchers from twelve countries attended the meeting and concluded that: the policy environment in most European countries is characterized by insufficient data on safety, effectiveness, and cost-effectiveness of health care innovations; that an early warning system is perceived as an essential mechanism for facilitating communication among policy makers, technology experts, and health professionals; and that collaboration on early warning activities might be even more useful than traditional collaboration in health technology assessment.

Objectives: The aim of this study is to explain factors influential to the diffusion of computed tomography (CTs) and magnetic resonance imaging (MRIs).

Methods: Variables were identified from a review of the literature on the diffusion of health technologies. A formal process was applied to build a conceptual model of the mechanism that drives technology diffusion. Variables for the analysis were classified as predisposing, enabling, or reinforcing factors, in keeping with a model commonly used to explain the diffusion of health behaviors. Multiple regression analysis was conducted using year 2000 OECD data.

Results: The results of this study showed that total health expenditure per capita (p < .01, both CTs and MRIs) and flexible payment methods to hospitals (p < .05, both CTs and MRIs) were significantly associated with the diffusion of CTs and MRIs (adjusted R2 = 0.477, 0.656, respectively).

Conclusions: This study presents a systematically developed model of the mechanism governing technology diffusion. Important findings from the study show that purchasing power, represented by total health expenditure per capita and economic incentives to hospitals in the form of flexible payment methods, were positively correlated with diffusion. Another important achievement of our model is that it accounts for all thirty OECD member countries without excluding any as outliers. This study shows that variation across countries in the diffusion of medical technology can be explained well by a logical model with multiple variables, the results of which hold profound implications for health policy regarding the adoption of innovations.

In this paper, we consider a model of social learning in a population of myopic, memoryless agents. The agents are placed at integer points on an infinite line. Each time period, they perform experiments with one of two technologies, then each observes the outcomes and technology choices of the two adjacent agents as well as his own outcome. Two learning rules are considered; it is shown that under the first, where an agent changes his technology only if he has had a failure (a bad outcome), the society converges with probability 1 to the better technology. In the other, where agents switch on the basis of the neighbourhood averages, convergence occurs if the better technology is sufficiently better. The results provide a surprisingly optimistic conclusion about the diffusion of the better technology through imitation, even under the assumption of extremely boundedly rational agents.

Bone mineral density (BMD) testing of healthy women continues to increase, despite widespread discrediting of this test as a valid means to predict fracture risk. To find an explanation for this expanding utilization, we turn to the literature of sociology and political science. Two interdisciplinary approaches proved particularly useful in critical examination of technologies related to women and aging: feminist analysis and cross-cultural analysis. BMD testing has grown because it is marketed in ways that draw upon and perpetuate two trends in western popular culture: a) the medical model of the aging female body; and b) the fear of aging, with its associated disability, dependency, and immobility. The feedback loop between popular and scientific knowledge has created and perpetuated the notion that the aging female body is a diseased body. The trend toward defining osteoporosis entirely on the basis of BMD diagnostic criteria has resulted in the transformation of a risk factor into a disease entity. As the onus for managing risk falls increasingly on women as individuals, and as they strive to reach the preferred ideal of normality, the area that defines normality on the continuum is shrinking, while that defining abnormality is increasing. The power relations and private interests served by this altered continuum remain largely unexamined. The effect, however, is to encourage the demand for screening and diagnostic technologies, giving rise to the rapid diffusion of such technologies, even where the research evidence does not support their use.