| Literature DB >> 35239709 |
Jin Zhao1, Ghulam Rasool Madni2, Muhammad Awais Anwar2.
Abstract
The lessening of food wastage, specifically among nations where about half of its worldwide quantity is produced, has turned to be a mammoth challenge for environmental, social and economic sustainability, and represents one of the seventeen Sustainable Development Goals (SDG) within the Agenda 2030. The quantity of food being thrown away in spite of being in an edible condition has become alarming in middle and high income countries. The COVID-19 lockdown strategy, both at local and international levels, has expressively altered work, life and food consumption behaviors globally, directing to food wastage as a multi sectoral issue. Pakistan has no exception to such manifestations. The main objective of this study is to analyze the perceptions of rural people of Pakistan regarding food wastage during the COVID-19 pandemic. To evaluate whether behavior about food wastage among rural households varied or not during the pandemic, a descriptive survey was carried out using a self-administered questionnaire and 963 responses were selected for further empirical investigations. The findings of the study reveal that food waste actually decreased in spite of an increased amount of purchased food during the lockdown. Our results highlight that the effect of the pandemic has led to reduction in food wastage among rural respondents, an increased consciousness for the morals of food waste, and awareness of environmental impacts of food wastage. The conclusions of this study highlight that rural consumers of Pakistan are emerging with a new level of responsiveness about food wastage with possible positive impact on the environment in terms of decreased greenhouse gas (GHG) emission and other pollutants. The study findings imply that this pandemic time provides a suitable window to raise awareness about food wastage among rural as well as urban households while contemplating effective strategies to overcome the issue of food wastage in the country.Entities:
Mesh:
Year: 2022 PMID: 35239709 PMCID: PMC8893606 DOI: 10.1371/journal.pone.0264534
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Food insecurity in Pakistan.
| ICT | Punjab | Sindh | KPK | Baluchistan | GB | AJK | KP-NMD | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Region | M | S | M | S | M | S | M | S | M | S | M | S | M | S | M | S |
| Rural | 19.8 | 18.9 | 19.6 | 16.5 | 47.1 | 21.7 | 15.1 | 5.9 | 42.1 | 29.1 | 12.1 | 2 | 23.9 | 12.9 | 26.9 | 11.9 |
| Urban | 6.9 | 8.3 | 7.9 | 7 | 22 | 8.5 | 17 | 6 | 23.9 | 15.7 | 8.1 | 1.9 | 10.6 | 5 | - | - |
Source: (WFP 2020); World Food Program
Note: All values are in percentage. M = Moderate Insecurity; S = Severe Insecurity
Abbreviations; AJK: Azad Jammu and Kashmir; GB: Gilgit Baltistan; ICT: Islamabad Capital Territory; KPK: Khyber Pakhtunkhwa, KP-NMD: Kyber Pakhtunkhwa-Newly Merged Districts.
Descriptions of variables.
| Variables | Descriptions |
|---|---|
| FW | Food waste decreased, increased or remained unchanged: Response on a scale from 1 (decreased)—5 (increased). |
| FPD | = 1 if amount of purchased food decreased during pandemic otherwise 0 |
| FPI | = 1 if amount of purchased food increased during pandemic otherwise 0 |
| FPU | = 1 if amount of purchased food unchanged during pandemic otherwise 0 |
| FQD | = 1 if frequency of purchased food decreased during pandemic otherwise 0 |
| FQI | = 1 if frequency of purchased food increased during pandemic otherwise 0 |
| FQU | = 1 if frequency of purchased food unchanged during pandemic otherwise 0 |
| GEN | = 1 if female otherwise 0 |
| AGE | Age in years |
| NHH | No. of people in household |
| LYY | = 1 if annual income is less than Rs. 300000 otherwise 0 |
| MYY | = 1 if annual income is Rs. 300001–600000 otherwise 0 |
| HYY | = 1 if annual income is more than Rs. 600000 otherwise 0 |
Summary statistics of variables.
| Variable | Observations | Mean | Std. Dev. | Min. | Max. |
|---|---|---|---|---|---|
| FW | 963 | 2.3 | 0.91 | 1 | 5 |
| FPD | 963 | 0.14 | 0.33 | 0 | 1 |
| FPI | 963 | 0.59 | 0.43 | 0 | 1 |
| FPU | 963 | 0.27 | 0.38 | 0 | 1 |
| FQD | 963 | 0.39 | 0.41 | 0 | 1 |
| FQI | 963 | 0.28 | 0.37 | 0 | 1 |
| FQU | 963 | 0.31 | 0.42 | 0 | 1 |
| GEN | 963 | 0.55 | 0.50 | 0 | 1 |
| AGE | 963 | 38.15 | 18.55 | 18 | 73 |
| NHH | 963 | 3.94 | 3.21 | 2 | 10 |
| LYY | 963 | 0.65 | 0.44 | 0 | 1 |
| MYY | 963 | 0.38 | 0.48 | 0 | 1 |
| HYY | 963 | 0.19 | 0.20 | 0 | 1 |
Results of ordered logit model.
| Variable | Coefficients | Odds Ratio | Robust Standard Error |
|---|---|---|---|
| FPD | -0.425 | 0.474 | 0.178 |
| FPI | -0.313 | 0.543 | 0.125 |
| FQD | -0.220 | 0.607 | 0.124 |
| FQI | -0.401 | 0.573 | 0.164 |
| GEN | -0.072 | 0.819 | 0.121 |
| AGE | -0.012 | 0.875 | 0.011 |
| NHH | -0.131 | 0.863 | 0.043 |
| LYY | -0.436 | 0.481 | 0.244 |
| MYY | -0.313 | 0.669 | 0.315 |
| /cut1 | -1.988 | 0.355 | |
| /cut2 | 1.353 | 0.364 | |
| /cut3 | 4.181 | 0.665 | |
| Log Pseudo Likelihood | -1538.572 | ||
| Observation | 963 | ||
Note:
*, **, *** shows significance at 1%, 5% and 10% respectively.