Investigating farmers' preferences for the design of agri-environment schemes: a choice experiment approach

In recent decades agri-environment schemes (AES) have become an increasingly important tool for policy makers aiming to reverse the post-war decline in environmental quality on agricultural land. The voluntary nature of such schemes means that the decision of farmers to participate is central to achieving policy objectives. Therefore, this paper uses a choice experiment approach to investigate the role that scheme design can have on encouraging farmers to participate. Choice data was gathered from a survey of farmers in 10 case study areas across the EU and analysed using both mixed logit and latent class models. In general, farmers were found to require greater financial incentives to join schemes with longer contracts or that offer less flexibility or higher levels of paperwork. It was also observed that a large segment of farmers ('low resistance adopters') would be willing to accept relatively small incentive payments for their participation in schemes offering relatively little flexibility and high levels of additional paperwork, when compared to a contrasting segment of 'high resistance adopters'. © 2009 University of Newcastle upon Tyne

Self-, other-, and joint monitoring using forward models

In the psychology of language, most accounts of self-monitoring assume that it is based on comprehension. Here we outline and develop the alternative account proposed by Pickering and Garrod (2013), in which speakers construct forward models of their upcoming utterances and compare them with the utterance as they produce them. We propose that speakers compute inverse models derived from the discrepancy (error) between the utterance and the predicted utterance and use that to modify their production command or (occasionally) begin anew. We then propose that comprehenders monitor other people’s speech by simulating their utterances using covert imitation and forward models, and then comparing those forward models with what they hear. They use the discrepancy to compute inverse models and modify their representation of the speaker’s production command, or realize that their representation is incorrect and may develop a new production command. We then discuss monitoring in dialogue, paying attention to sequential contributions, concurrent feedback, and the relationship between monitoring and alignment

Modeling CO, CO2_2 and H2_2O ice abundances in the envelopes of young stellar objects in the Magellanic Clouds

Massive young stellar objects in the Magellanic Clouds show infrared absorption features corresponding to significant abundances of CO, CO$_2$ and H$_2$O ice along the line of sight, with the relative abundances of these ices differing between the Magellanic Clouds and the Milky Way. CO ice is not detected towards sources in the Small Magellanic Cloud, and upper limits put its relative abundance well below sources in the Large Magellanic Cloud and the Milky Way. We use our gas-grain chemical code MAGICKAL, with multiple grain sizes and grain temperatures, and further expand it with a treatment for increased interstellar radiation field intensity to model the elevated dust temperatures observed in the MCs. We also adjust the elemental abundances used in the chemical models, guided by observations of HII regions in these metal-poor satellite galaxies. With a grid of models, we are able to reproduce the relative ice fractions observed in MC massive young stellar objects (MYSOs), indicating that metal depletion and elevated grain temperature are important drivers of the MYSO envelope ice composition. Magellanic Cloud elemental abundances have a sub-galactic C/O ratio, increasing H$_2$O ice abundances relative to the other ices; elevated grain temperatures favor CO$_2$ production over H$_2$O and CO. The observed shortfall in CO in the Small Magellanic Cloud can be explained by a combination of reduced carbon abundance and increased grain temperatures. The models indicate that a large variation in radiation field strength is required to match the range of observed LMC abundances. CH$_3$OH abundance is found to be enhanced in low-metallicity models, providing seed material for complex organic molecule formation in the Magellanic Clouds.Comment: Accepted in ApJ 20 pages, 8 figures, 6 table

CHOICE OF TECHNOLOGY: THE CASE OF GRASS FED VERSUS GRAIN FED CATTLE IN HAWAII

A model describing the choice of technology is developed from theoretical considerations. It is shown that the model can be approximated using a logit function. Estimates of short-run elasticities are easily obtained. The model is then applied to the decision to place feeder cattle in confined feeding situations or on range. With one possible exception, the results are consistent with theoretical expectations and with previous studies.Livestock Production/Industries,

Early Settlement and Errors in Merger Control

We develop a model of remedy offers made to an expert agency which has powers to act before any harm is experienced and is required to decide on the basis of tangible evidence. The model provides a relationship between the factors determining the probability of delay and the type of error in early settlements (i.e. insufficient versus excessive remedy). We apply the model using data from European Commission merger settlements. Our econometric analysis confirms the importance of delay costs and the uncertainty associated with the agency’s findings. Our results are also consistent with the prediction that delay is not systematically related to the inherent competitive harm of the merger proposal. We use our results to identify specific cases of insufficient remedy in early settlements

Referential and visual cues to structural choice in visually situated sentence production

We investigated how conceptually informative (referent preview) and conceptually uninformative (pointer to referent’s location) visual cues affect structural choice during production of English transitive sentences. Cueing the Agent or the Patient prior to presenting the target-event reliably predicted the likelihood of selecting this referent as the sentential Subject, triggering, correspondingly, the choice between active and passive voice. Importantly, there was no difference in the magnitude of the general Cueing effect between the informative and uninformative cueing conditions, suggesting that attentionally driven structural selection relies on a direct automatic mapping mechanism from attentional focus to the Subject’s position in a sentence. This mechanism is, therefore, independent of accessing conceptual, and possibly lexical, information about the cued referent provided by referent preview