Explaining Choice and Share of Category Requirements of Biologic Meat

In this paper we examine factors determining choice and consumption of biologic or organic meat. In our model explaining choice and share of category requirements, we consider economic/marketing variables (quality, price, and distribution), emotions (fear, empathy, andguilt), social norms, environmental variables (environmental concern, green behavior, and perceived consumer effectiveness) as main antecedents of the choice and share of categoryrequirements of bio-meat. We also control for the effect of socio-demographics. Using a sample of 269 Dutch consumers we estimate a Tobit (2) model explaining choice and share of category requirements. Our results show that the choice for biologic meat is mainly affected by perceived quality of bio meat, in addition to the price-perception and fear of the health consequences of eating regular meat. Price perceptions and fear are also important determinants of share of category requirements, but beyond these factors empathy and social norms are also determinants of share of category requirements. Theoretical and policy implications of our results are discussed.modeling;consumers;environmentalism;organic products

Manipulable Congestion Tolls

The recent literature on congestion pricing with large agents contains a remarkable inconsistency: though agents are large enough to recognize self-imposed congestion and exert market power over prices, they do not take into account the impact of their own actions on the magnitude of congestion tolls. When large agents are confronted with tolls derived under this parametric assumption but understand the rule used to generate them, the toll system will no longer guide the market to the social optimum. To address this problem, the present paper derives alternate, manipulable toll rules, which are designed to achieve the social optimum when agents anticipate the full impact of their actions on toll liabilities.Pigouvian taxes; Congestion tolls

The Effect of Members' Satisfaction with a Virtual Community on Member Participation

The authors develop a four-dimensional scale to measure members'satisfaction with virtual communities. The dimensions consist ofmembers' satisfaction with member-member interactions,organizer-member interactions, organizer-community interactions, andthe community's site. Using a sample of 3605 members of a virtualcommunity the authors investigate the effect of each satisfactiondimension on member participation and the moderating effect ofmembership length on the links between the satisfaction dimensions andmember particip ation. The results reveal that satisfaction withmember-member interactions, organizer-member interactions and thecommunity's site have positive effects on member participation.Satisfaction with organizer-community interactions has no effect onmember participation. The findings also show that the linkages betweenthe satisfaction dimensions and member participation are moderated bymembership length.satisfaction;internet;virtual community;consumers;relationship age

Manipulable Congestion Tolls

The recent literature on congestion pricing with large agents contains a remarkable inconsistency: though agents are large enough to recognize self-imposed congestion and exert market power over prices, they do not take into account the impact of their own actions on the magnitude of congestion tolls. When large agents are confronted with tolls derived under this parametric assumption but understand the rule used to generate them, the toll system will no longer guide the market to the social optimum. To address this problem, the present paper derives alternate, manipulable toll rules, which are designed to achieve the social optimum when agents anticipate the full impact of their actions on toll liabilities

Explaining Choice and Share of Category Requirements of Biologic Meat

In this paper we examine factors determining choice and consumption of biologic or organic meat. In our model explaining choice and share of category requirements, we consider economic/marketing variables (quality, price, and distribution), emotions (fear, empathy, andguilt), social norms, environmental variables (environmental concern, green behavior, and perceived consumer effectiveness) as main antecedents of the choice and share of categoryrequirements of bio-meat. We also control for the effect of socio-demographics. Using a sample of 269 Dutch consumers we estimate a Tobit (2) model explaining choice and share of category requirements. Our results show that the choice for biologic meat is mainly affected by perceived quality of bio meat, in addition to the price-perception and fear of the health consequences of eating regular meat. Price perceptions and fear are also important determinants of share of category requirements, but beyond these factors empathy and social norms are also determinants of share of category requirements. Theoretical and policy implications of our results are discussed

The Effect of Members' Satisfaction with a Virtual Community on Member Participation

The authors develop a four-dimensional scale to measure members' satisfaction with virtual communities. The dimensions consist of members' satisfaction with member-member interactions, organizer-member interactions, organizer-community interactions, and the community's site. Using a sample of 3605 members of a virtual community the authors investigate the effect of each satisfaction dimension on member participation and the moderating effect of membership length on the links between the satisfaction dimensions and member particip ation. The results reveal that satisfaction with member-member interactions, organizer-member interactions and the community's site have positive effects on member participation. Satisfaction with organizer-community interactions has no effect on member participation. The findings also show that the linkages between the satisfaction dimensions and member participation are moderated by membership length

Application of Sentinel-2A data for pasture biomass monitoring using a physically based radiative transfer model

A large proportion of the global land surface is covered by pasture. The advent of the Sentinel satellites program provides free datasets with good spatiotemporal resolution that can be a valuable source of information for monitoring pasture resources. We combined optical remote sensing data (proximal hyperspectral and Sentinel 2A) with a radiative transfer model (PROSAIL) to estimate leaf area index (LAI), and biomass, in a dairy farming context. Three sites in Southern England were used: two pasture farms that differed in pasture type and management, and a set of small agronomy trial plots with different mixtures of grasses, legumes and herbs, as well as pure perennial ryegrass. The proximal and satellite spectral data were used to retrieve LAI via PROSAIL model inversion, which were compared against field observations of LAI. The potential of bands of Sentinel 2A that corresponded with a 10 m resolution was studied by convolving narrow spectral bands (from a handheld hyperspectral sensor) into Sentinel 2A bands (10 m). Retrieved LAI, using these spectrally resampled S2A data, compared well with measured LAI, for all sites, even for those with mixed species cover (although retrieved LAI was somewhat overestimated for pasture mixtures with high LAI). This proved the suitability of 10 m Sentinel 2A spectral bands for capturing LAI dynamics for different types of pastures. We also found that inclusion of 20 m bands in the inversion scheme did not lead to any further improvement in retrieved LAI. Sentinel 2A image based retrieval yielded good agreement with LAI measurements obtained for a typical perennial ryegrass based pasture farm. LAI retrieved in this way was used to create biomass maps (that correspond to indirect biomass measurements by Rising Plate Meter (RPM)), for mixed-species paddocks for a farm for which limited field data were available. These maps compared moderately well with farmer-collected RPM measurements for this farm. We propose that estimates of paddock-averaged and within-paddock variability of biomass are more reliably obtained from a combined Sentinel 2A-PROSAIL approach, rather than by manual RPM measurements. The physically based radiative transfer model inversion approach outperformed the Normalised Difference Vegetation Index based retrieval method, and does not require site specific calibrations of the inversion scheme

Emerging importance of multidrug-resistant Acinetobacter species and Stenotrophomonas maltophilia as pathogens in seriously ill patients: Geographic patterns, epidemiological features, and trends in the SENTRY Antimicrobial Surveillance Program (1997-1999)

As part of the SENTRY Antimicrobial Surveillance Program, a total of 1078 Acinetobacter species and 842 Stenotrophomonas maltophilia isolates were collected between January 1997 and December 1999 from 5 geographic regions (Canada, the United States, Latin America, Europe, and the Asia-Pacific). the frequency of infections (by geographic region and body site), including those due to imipenem-resistant Acinetobacter species and trimethoprim-sulfamethoxazole (TMP-SMZ)-resistant S. maltophilia, was evaluated. the possibility of seasonal variations in bloodstream infections caused by Acinetobacter species was studied, as was the activity of several therapeutic antimicrobials against all strains. Acinetobacter species and S. maltophilia were most frequently associated with pulmonary infections, independent of the region evaluated. in contrast, patterns of antimicrobial resistance markedly varied among distinct geographic regions, especially for nosocomial isolates. Although the carbapenems were the most active antimicrobials against Acinetobacter species, nearly 11.0% of the nosocomial isolates were resistant to this drug group in both regions. TMP-SMZ, ticarcillin-clavulanic acid, gatifloxacin, and trovafloxacin were the only agents with consistent therapeutic activity against S. maltophilia isolates. Rates of resistance to TMP-SMZ ranged from 2% in Canada and Latin America to 10% in Europe. the geographic differences in resistance patterns among Acinetobacter species and S. maltophilia isolates observed in this study emphasize the importance of local surveillance in determining the most adequate therapy for acinetobacter and S. maltophilia infections and the possible clonal, epidemic nature of occurrence.Universidade Federal de São Paulo, Div Infect Dis, BR-04025010 São Paulo, BrazilUniv Iowa, Coll Med, Iowa City, IA USAQueen Elizabeth II Hlth Sci Ctr, Halifax, NS, CanadaBellvitge Hosp, Barcelona, SpainUniv Utrecht, Utrecht, NetherlandsUniversidade Federal de São Paulo, Div Infect Dis, BR-04025010 São Paulo, BrazilWeb of Scienc