Analysis of Staple Food Price Forecasting Results Using Various Approaches

2021 ◽  
Author(s):  
Mungki Astiningrum ◽  
Vivi Nur Wijayaningrum ◽  
Ika Kusumaning Putri
Keyword(s):  
Food Price ◽  
Price Forecasting ◽  
Staple Food

Food price volatility and socio-inequalities in household food insecurity during coronavirus disease-2019 lockdown in Nansana municipality, Wakiso district Uganda

2020 ◽  
Author(s):  
Edward Buzigi ◽  
Stephen Onakuse
Keyword(s):  
Food Insecurity ◽  
Virus Disease ◽  
Multivariate Logistic Regression Analysis ◽  
Price Volatility ◽  
Food Prices ◽  
Food Price ◽  
Food Aid ◽  
Household Food Insecurity ◽  
Staple Food ◽  
Household Food

Abstract BackgroundThis study assessed staple food price volatility, food consumption scores (FCS) and prevalence of household food insecurity (HHFI) and its socio-inequalities during enforcing and lifting corona virus disease -2019 (COVID-19) lockdown in Nansana municipality, Uganda.MethodsA repeated households (HHs) based cross-sectional study was conducted in urban Nansana Municipality, Uganda. A total of 405 HHs (205 slum and 200 non-slum) were selected using stratified random sampling. Data on social demographics and FCS in the previous 7 days were collected using questionnaire-based telephone interviews with HH heads. Prices for staple foods was collected by asking food sellers from local markets. Mean staple food price differences between before COVID-19 lockdown and during enforcing or lifting the lockdown was tested by paired t test. A binary outcome of HHFI (FCS of 0-35) and food secure (FCS>35) HHs was created. The association between exposure variables and HHFI was tested using multivariate logistic regression analysis at a probability value of 5%.ResultsMean price of staple food significantly increased between before and during enforcing the COVID-19 lockdown (p <0.0001). Mean FCS during COVID-19 lockdown were at borderline for either slum (22.8) or non-slum (22.9) HHs, and were not significantly different from each other (p=0.06). During partial lifting of the lockdown, FCS among slum HHs were significantly lower at 20.1 (poor) compared to non-slum HHs at 22.7 (borderline) (p=0.01). The mean FCS was significantly higher at borderline (24.5) among HHs that received food aid compared to poor FCS (18.2) among slum HHs that did not receive food aid (p<0.0001). The prevalence of HHFI was high and not significantly different (p>0.05) between slum (94.6%) and non-slum (93.5%) HHs during COVID-19 lockdown. HHFI was higher in slum (98.5%) than non-slum (94%) HHs (p<0.05) on partial lifting of the lockdown. Adjusted odds ratio (AOR) showed that being a wage earner and employed HH head was positively (AOR: 8.3, 95% CI: 1.9-36.2) and negatively (AOR: 0.07, CI: 0.02-0.2) associated with HHFI, respectively. During partial lifting of COVID-19 lockdown, slum HHs (AOR: 11.8, 95% CI: 1.5-91.3), female headed HHs (AOR: 11.9, 95%CI: 1.5-92.7), wage earners (AOR: 10.7, 95% CI: 1.4-82.9) and tenants (AOR: 4.0, 95% CI: 1.1- 14.7) were positively associated with HHFI. Conclusion Staple food prices increased during enforcing COVID-19 lockdown compared before lockdown. Food aid distribution during COVID-19 lockdown improved FCS among slum HHs, however, it did not prevent against slum HHFI.

scholarly journals The Impact of Food Price Crises on the Demand for Nutrients in Pakistan

2016 ◽  
Vol 11 (3) ◽  
pp. 305-327
Author(s):  
Nadia Shabnam ◽  
Fabio Gaetano Santeramo ◽  
Zahid Asghar ◽  
Antonio Seccia
Keyword(s):  
Developing Countries ◽  
Food Security ◽  
Nutritional Status ◽  
Economic Crisis ◽  
Food Price ◽  
Price Increase ◽  
Policy Implications ◽  
Time Varying ◽  
Staple Food ◽  
The Impact

The global economic crisis in 2007–2008 resulted in a tremendous food price increase that is likely to have adversely affected the food security and nutritional status in many developing countries. Understanding how nutritional intakes may have changed as a result of the food price crisis is important, especially for Pakistan, the country under scrutiny which, despite of being a large producer of staple food, suffers from severe problems of undernourishment. We used two survey rounds, 2005–2006 and 2010–2011, to investigate how calorie and macronutrient intakes have evolved. The analysis was carried out with the use of a time varying model and is enriched by an in-depth investigation for different quantiles. The results show that food security deteriorated because of the food price crisis. In the light of this outcome, policy implications are discussed.

Country and regional staple food price indices for improved identification of food insecurity

2012 ◽  
Vol 22 (3) ◽  
pp. 784-794 ◽  
Author(s):  
M.E. Brown ◽  
F. Tondel ◽  
T. Essam ◽  
J.A. Thorne ◽  
B.F. Mann ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Food Price ◽  
Staple Food ◽  
Price Indices

scholarly journals Who Wins and Who Loses from Staple Food Price Spikes?: Welfare Implications for Mozambique

10.1596/31842 ◽  
2019 ◽  
Author(s):  
Javier E. Baez ◽  
German Caruso ◽  
Hemant Pullabhotla
Keyword(s):  
Food Price ◽  
Staple Food ◽  
Welfare Implications ◽  
Price Spikes

scholarly journals Who Wins and Who Loses from Staple Food Price Spikes? Welfare Implications for Mozambique

2018 ◽  
Author(s):  
Javier E. Baez ◽  
German Caruso ◽  
Hemant Pullabhotla
Keyword(s):  
Food Price ◽  
Staple Food ◽  
Welfare Implications ◽  
Price Spikes

Staple food price instability and structural change: Indonesian experience

2016 ◽  
Vol 47 ◽  
pp. 35-44
Author(s):  
Richard Grabowski ◽  
Sharmistha Self
Keyword(s):  
Structural Change ◽  
Food Price ◽  
Staple Food ◽  
Price Instability
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