Tracing the Pathways from Research to Innovation: Evidence from Case Studies

The complex process through which agricultural research stimulates innovation and achieves policy goals has commonly been treated as a ‘black box’ in the scientific literature. Statistical correlations between measured expenditure and impacts, where satisfactorily established, have mostly led to details of the research and innovation system being ignored. However, identifying and exploring causal chains of impact propagation can strengthen agricultural innovation. IMPRESA investigated impact mechanisms for research‐based innovations in six case studies using a Participatory Impact Pathway Assessment approach. Several suggestions result for improving performance and public support for agricultural research. Planning for impact is needed at the design phase of research so that expected advances in technology and their consequences can be explored. At that stage and throughout the research process, soft social skills are required to promote uptake. Greater impact can be achieved through the close involvement of key public and private sector stakeholders, using stakeholder mapping as a supporting tool. There is a strong argument for the close involvement of relevant social scientists and professional facilitators from the design phase of research through to its ultimate impacts. Funding frameworks and the specification of calls for tenders would function more effectively by giving more flexibility for stakeholder engagement.     

Targeting Revisited

Public spending programs aimed at alleviating poverty can eitherbe broadly targeted at categories ofspending or narrowly targetedat types of people. Each approach has benefits and costs tothe poor. It is often claimed that narrow targeting of the poorwill allow governments to reduce pQverty more effectively andat lower cost. But narrow targeting often has hidden costs,and once these costs are considered, the most finely targetedpolicy may not have any more effect on poverty than a broadlytargeted one. Both approaches also have hidden benefits, althoughless is known about their impact. Targeting can help, but itis not a cure-all. Reducing poverty calls for broadly targetedsocial sector spending combined with narrower targeting of cashand in-kind transfers to spec groups. It is also important forgovernments to experiment with schemes that offer better incentives,to carefully monitor the costs and outcomes, and to be flexibleand pragmatic in their policy responses.      

Epidemiology of unintentional drowning in a metropolis of the French Mediterranean coast: a retrospective analysis (2000–2011)

Drowning affects more than 500,000 people worldwide and is responsible for at least 350,000 deaths each year. In France, 1235 drowning resulting in 496 deaths were recorded in the summer 2012. This retrospective study has investigated the epidemiology of drowning in the city of Marseille (South of France) between 2000 and 2011. We identified 449 cases of unintentional drowning. The highest incidence was found among males with a median age of 36 years. The incidence was 5.3 victims per 10,000 inhabitants with a mortality rate of 1.2 per 10,000. These accidents occurred mainly at sea (89%) and during the summer season. A majority of drowning victims (69%) were admitted in a hospital. This is the only study in France to analyse data on drowning throughout the year and over a long period. Drowning is a serious condition burdened by 22% of victims who die.     

Synchronization of Innovation and Vehicle Projects: Proposal of a Management Tool at Renault SAS

The success of a vehicle on the market depends on its price, reliability, and attractiveness; for the latter, innovations are the key elements in the differentiation from competitors. Managing the processes of selecting and integrating innovation projects into vehicle projects is therefore crucial. This article presents a management tool that aims at managing the interplay between innovation projects and vehicle projects. The objectives are to increase and optimize the amount and value of innovation projects integrated into vehicle projects. The tool, called “Profilor,” is based on the concept of intrusiveness, which is presented from a theoretical and empirical point of view.     

Does marketing and sales integration always pay off? Evidence from a social capital perspective

Building on social capital theory, we view the marketing and sales interface as a set of inter-group ties and investigate how cross-functional relationships may facilitate the development of social capital associated with value creation. Our findings suggest that social capital embedded in marketing and sales relationships can inhibit a firm’s performance depending on the characteristics of its customers. Our results also demonstrate that managing the marketing and sales interface at different levels of customer concentration is critical to the success of a firm’s performance.     

Generalized Bayes minimax estimators of location vectors for spherically symmetric distributions with residual vector

We consider estimation of the mean vector, $\theta $ , of a spherically symmetric distribution with known scale parameter under quadratic loss and when a residual vector is available. We show minimaxity of generalized Bayes estimators corresponding to superharmonic priors with a non decreasing Laplacian of the form $\pi (\Vert \theta \Vert ^{2})$ , under certain conditions on the generating function $f(\cdot )$ of the sampling distributions. The class of sampling distributions includes certain variance mixtures of normals.     

Ranking of information systems in agency models: an integral condition

Summary. We provide a condition for ranking of information systems in agency problems. The condition has a straightforward economic interpretation in terms of the sensitivity of a cumulative distribution with respect to the agent's effort. The criterion is shown to be equivalent to the mean preserving spread condition on the likelihood ratio distributions. Received: November 10, 1999; revised version: February 17, 2000     

Agriculture and climate change in global scenarios: why don't the models agree

Agriculture is unique among economic sectors in the nature of impacts from climate change. The production activity that transforms inputs into agricultural outputs involves direct use of weather inputs (temperature, solar radiation available to the plant, and precipitation). Previous studies of the impacts of climate change on agriculture have reported substantial differences in outcomes such as prices, production, and trade arising from differences in model inputs and model specification. This article presents climate change results and underlying determinants from a model comparison exercise with 10 of the leading global economic models that include significant representation of agriculture. By harmonizing key drivers that include climate change effects, differences in model outcomes were reduced. The particular choice of climate change drivers for this comparison activity results in large and negative productivity effects. All models respond with higher prices. Producer behavior differs by model with some emphasizing area response and others yield response. Demand response is least important. The differences reflect both differences in model specification and perspectives on the future. The results from this study highlight the need to more fully compare the deep model parameters, to generate a call for a combination of econometric and validation studies to narrow the degree of uncertainty and variability in these parameters and to move to Monte Carlo type simulations to better map the contours of economic uncertainty.