The effects of food sales taxes on household food spending: An application of a censored cluster model

2020 ◽  
Vol 51 (5) ◽  
pp. 669-684
Author(s):  
Diansheng Dong ◽  
Yuqing Zheng ◽  
Hayden Stewart
Keyword(s):  
Cluster Model ◽  
Sales Taxes ◽  
Household Food ◽  
Food Sales

Food sales taxes and employment

2018 ◽  
Vol 58 (5) ◽  
pp. 1003-1016
Author(s):  
Nadia Greenhalgh-Stanley ◽  
Shawn Rohlin ◽  
Jeff Thompson
Keyword(s):  
Sales Taxes ◽  
Food Sales

3d-4s and 3d-4p electronic transitions in M2+ : NaF AND M2+ : KMgF3 (Μ = V, Cr, and Mn). Results of a cluster-model calculation

1987 ◽  
Vol 84 ◽  
pp. 855-861 ◽  
Author(s):  
M. Flórez ◽  
M. Bermejo ◽  
V. Luaña ◽  
E. Francisco ◽  
J.M. Recio ◽  
...  
Keyword(s):  
Model Calculation ◽  
Cluster Model ◽  
Electronic Transitions

STATE SALES TAXES

1941 ◽  
Vol 26 (8) ◽  
pp. 226-227
Author(s):  
DIXWELL L. PIERCE
Keyword(s):  
Sales Taxes

scholarly journals Impact of COVID-19 on child malnutrition, obesity in women and household food insecurity in underserved urban settlements in Sri Lanka: a prospective follow up study

2021 ◽  
pp. 1-24
Author(s):  
Renuka Jayatissa ◽  
Himali Herath ◽  
Amila Gayan Perera ◽  
Thulasika Thejani Dayaratne ◽  
Nawmali Dhanuska De Alwis ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Food Insecurity ◽  
Child Malnutrition ◽  
Nutrition Status ◽  
Household Food Insecurity ◽  
Follow Up Study ◽  
Household Food ◽  
Before And After ◽  
Urban Settlements

Abstract Objectives: To determine changes and factors associated with child malnutrition, obesity in women and household food insecurity before and after the first wave of COVID-19 pandemic. Design: A prospective follow up study. Setting: In 2019, the baseline Urban Health and Nutrition Study (UHNS-2019) was conducted in 603 households, which were selected randomly from 30 clusters to represent underserved urban settlements in Colombo. In the present study, 35% of households from the UHNS-2019 cohort were randomly selected for repeat interviews, one year after the baseline study and 6 months after COVID-19 pandemic in Sri Lanka. Height/length and weight of children and women were re-measured, household food insecurity was reassessed, and associated factors were gathered through interviewer administered questionnaires. Differences in measurements at baseline and follow-up studies were compared. Participants: A total of 207 households, comprising 127 women and 109 children were included. Results: The current prevalence of children with wasting and overweight was higher in the follow-up study than at baseline UHNS-2019 (18.3%vs13.7%;p=0.26 and 8.3%vs3.7%;p=0.12 respectively). There was a decrease in prevalence of child stunting (14.7%vs11.9%;p=0.37). A change was not observed in overall obesity in women, which was around 30.7%. Repeated lockdown was associated with a significant reduction in food security from 57% in UHNS-2019 to 30% in the current study (p<0.001). Conclusions: There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19.

scholarly journals COVID-19-Related Changes in Perceived Household Food Waste in the United States: A Cross-Sectional Descriptive Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1104
Author(s):  
Kelly Cosgrove ◽  
Maricarmen Vizcaino ◽  
Christopher Wharton
Keyword(s):  
Logistic Regression ◽  
Food Waste ◽  
The United States ◽  
Food Groups ◽  
Related Factors ◽  
Cross Sectional ◽  
Household Level ◽  
Binomial Logistic Regression ◽  
Household Food ◽  
Fresh Vegetables

Food waste contributes to adverse environmental and economic outcomes, and substantial food waste occurs at the household level in the US. This study explored perceived household food waste changes during the COVID-19 pandemic and related factors. A total of 946 survey responses from primary household food purchasers were analyzed. Demographic, COVID-19-related household change, and household food waste data were collected in October 2020. Wilcoxon signed-rank was used to assess differences in perceived food waste. A hierarchical binomial logistic regression analysis was conducted to examine whether COVID-19-related lifestyle disruptions and food-related behavior changes increased the likelihood of household food waste. A binomial logistic regression was conducted to explore the contribution of different food groups to the likelihood of increased food waste. Perceived food waste, assessed as the estimated percent of food wasted, decreased significantly during the pandemic (z = −7.47, p < 0.001). Food stockpiling was identified as a predictor of increased overall food waste during the pandemic, and wasting fresh vegetables and frozen foods increased the odds of increased food waste. The results indicate the need to provide education and resources related to food stockpiling and the management of specific food groups during periods of disruption to reduce food waste.

Theoretical Study of the Binding of the Thiol-Containing Cysteine Amino Acid to the Silver Surface Using a Cluster Model

2021 ◽  
Vol 125 (16) ◽  
pp. 3244-3256
Author(s):  
Pham Vu Nhat ◽  
Nguyen Thanh Si ◽  
Nguyen Thanh Tien ◽  
Minh Tho Nguyen
Keyword(s):  
Amino Acid ◽  
Cluster Model ◽  
Theoretical Study ◽  
Silver Surface ◽  
Cysteine Amino Acid
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