Social consensus, moral intensity and willingness to pay to address a farm animal welfare issue

An experimental contingent valuation (CV) survey of university students was undertaken to explore the impact of social consensus information on people's stated willingness to pay (wtp) to address a farm animal welfare issue. The survey found that additional information presented to respondents on social consensus concerning the moral dimensions of the issue led to a greater perception of social consensus by respondents. This greater perception of social consensus appeared to result in a higher level of moral intensity associated with the issue and a higher stated wtp by respondents for policy to address the issue. However, as for many CV studies of public goods, a question remains as to whether the estimated wtp is a true measure of people's preferences and relative values or merely a measure of attitudes on an arbitrary monetary scale.

Moral intensity and willingness to pay concerning farm animal welfare issues and the implications for agricultural policy

An experimental survey was undertaken to explore the links between the characteristics of a moral issue, the degree of moral intensity/moral imperative associated with the issue (Jones, 1991), and people's stated willingness to pay (wtp) for policy to address the issue. Two farm animal welfare issues were chosen for comparison and the contingent valuation method was used to elicit people's wtp. The findings of the survey suggest that increases in moral characteristics do appear to result in an increase in moral intensity and the degree of moral imperative associated with an issue. Moreover, there was a positive link between moral intensity/moral imperative associated with an issue and people's stated wtp for policy to address the issue. The paper discusses the relevance of the findings of the survey in the context of the debate concerning the relationship between moral and economic values and the use of the contingent valuation method to estimate people's wtp of policy options with moral dimensions.

‘God’s Truth’: Kant, Mill and moral epistemology in Oliver Twist

This essay aims to demonstrate how Dickens’s search for ‘truth’ (and his understanding of what that abstraction consists of) entered into and emerged from one of the key philosophical discussions of the early nineteenth century: namely whether moral knowledge is the sum of one’s experiences or whether there are such things as a priori or ‘natural’ principles of ethics that transcend human practice.

The REFLEX project: Comparing different algorithms and implementations for the inversion of a terrestrial ecosystem model against eddy covariance data

We describe a model-data fusion (MDF) inter-comparison project (REFLEX), which compared various algorithms for estimating carbon (C) model parameters consistent with both measured carbon fluxes and states and a simple C model. Participants were provided with the model and with both synthetic net ecosystem exchange (NEE) of CO2 and leaf area index (LAI) data, generated from the model with added noise, and observed NEE and LAI data from two eddy covariance sites. Participants endeavoured to estimate model parameters and states consistent with the model for all cases over the two years for which data were provided, and generate predictions for one additional year without observations. Nine participants contributed results using Metropolis algorithms, Kalman filters and a genetic algorithm. For the synthetic data case, parameter estimates compared well with the true values. The results of the analyses indicated that parameters linked directly to gross primary production (GPP) and ecosystem respiration, such as those related to foliage allocation and turnover, or temperature sensitivity of heterotrophic respiration, were best constrained and characterised. Poorly estimated parameters were those related to the allocation to and turnover of fine root/wood pools. Estimates of confidence intervals varied among algorithms, but several algorithms successfully located the true values of annual fluxes from synthetic experiments within relatively narrow 90% confidence intervals, achieving >80% success rate and mean NEE confidence intervals <110 gC m−2 year−1 for the synthetic case. Annual C flux estimates generated by participants generally agreed with gap-filling approaches using half-hourly data. The estimation of ecosystem respiration and GPP through MDF agreed well with outputs from partitioning studies using half-hourly data. Confidence limits on annual NEE increased by an average of 88% in the prediction year compared to the previous year, when data were available. Confidence intervals on annual NEE increased by 30% when observed data were used instead of synthetic data, reflecting and quantifying the addition of model error. Finally, our analyses indicated that incorporating additional constraints, using data on C pools (wood, soil and fine roots) would help to reduce uncertainties for model parameters poorly served by eddy covariance data.

The tropopause inversion layer in models and analyses

Recent high-resolution radiosonde climatologies have revealed a tropopause inversion layer (TIL) in the extratropics: temperature strongly increases just above a sharp local cold point tropopause. Here, it is asked to what extent a TIL exists in current general circulation models (GCMs) and meteorological analyses. Only a weak hint of a TIL exists in NCEP/NCAR reanalysis data. In contrast, the Canadian Middle Atmosphere Model (CMAM), a comprehensive GCM, exhibits a TIL of realistic strength. However, in data assimilation mode CMAM exhibits a much weaker TIL, especially in the Southern Hemisphere where only coarse satellite data are available. The discrepancy between the analyses and the GCM is thus hypothesized to be mainly due to data assimilation acting to smooth the observed strong curvature in temperature around the tropopause. This is confirmed in the reanalysis where the stratification around the tropopause exhibits a strong discontinuity at the start of the satellite era.