Affect Household Food Research Articles

Factors and comparative analysis of COVID-19’s impact on household food security in rural and urban regions.

Introduction: The COVID-19 pandemic has significantly affected household food security in Indonesia, particularly in both rural and urban areas. This study compares food security between rural and urban households during the pandemic. This study aims to compare food security between rural (Paser Regency) and urban (Balikpapan City) households during the pandemic. Methods: Using a cross-sectional design, 300 households were sampled (150 each from Balikpapan and Paser), with data collected through interviews and questionnaires. Household income, food, and non-food expenditure were analyzed using descriptive statistics and Pearson correlation with IBM SPSS Statistics 24. Result: The results show that increased food (r = 0.230, p < 0.01) and non-food (r = 0.113, p < 0.05) expenditure are positively correlated with food security. In Balikpapan, 18% of households saw a decrease in food expenditure compared to 11% in Paser, while non-food spending increased in 41.3% of Balikpapan households compared to 36% in Paser. Social assistance also had a positive impact (r = 0.149, p < 0.01), with 61.3% of households in Paser receiving aid compared to 51.3% in Balikpapan. Spending on staple foods like vegetables and proteins also contributed to food security (r = 0.126, p < 0.05). Mothers in Balikpapan were more concerned about food availability (71.3%) than in Paser (69.3%). Conclusion: Balikpapan faced more severe financial impacts and household concerns during the pandemic, while Paser showed greater stability. Key factors influencing food security included increased spending on food and non-food items, health concerns, and the effectiveness of social assistance in both regions.

Covid-19 impact on food security and households poverty of red upland rice farmer in Semanu District, Gunungkidul Regency

COVID-19 shook the world and impacted the obstruction of production, distribution, buying, and selling activities, including food. Red upland rice is a primary food with a dryland cultivation system in Semanu District, Gunungkidul, the first area to cultivate red upland rice variety segreng. This study aims to determine the food security and poverty of red upland rice farmer households before and during COVID-19 and the factors that affect household food security. The research was conducted in Semanu District, and it was determined purposively. The sample size was 100 respondents by simple random sampling. Data were analyzed using quantitative analysis of income, expenditure, food security, poverty, and factors affecting household food security. The results showed that Covid-19 affected the decline in household income and expenditure. The food security of farmer households during COVID-19 experienced a decrease in the number of households in the food security category by 4%, while household poverty measured in rice equivalent showed a decrease in the number of non-poor households by 17%. Factors affecting the food security of red upland rice farming households in Semanu District are income, COVID-19, and gender.

FACTORS AFFECTING HOUSEHOLD FOOD SECURITY IN NON-FOOD-CENTER AREAS

Objective: This study aims to determine the factors that affect household food security in non-food center areas in West Kotawaringin Regency, Central Kalimantan Province. Theoretical Framework: In accordance with sustainability theory. Households that have good livelihood assets can increase household food security, strengthen household livelihood assets, not only increase their resilience to various shocks, but also support overall sustainability goals. Method: The approach used is quantitative method with data collection through questionnaires and processed using Smart PLS 3.0 software to answer research problems and hypotheses. The population in this study were all people in 81 villages and 13 sub-districts in West Kotawaringin Regency total 246,214 people. Result and Conclusion: Based on quantitative analysis that has been done, it can be concluded that Human assets, Natural assets, Financial assets, Social assets, Physical assets, food distribution affect household food security in West Kotawaringin Regency. Government support strengthens household food security in West Kotawaringin Regency. Implication of research: The research implication is to strengthen the government's role in ensuring food security. Novelty which is a research finding is the variable role of village government in moderating household food security. Originality/Value: This research is expected to contribute to sustainable theory where society tries to prioritize social responses to environmental and economic problems. It is hoped that this social response will provide food supplies, as well as identifying factors that influence increasing food security.

Determining food intake, the requirement, and weighing the relative risk between food secure and insecure households in rural areas of Ethiopia: The case of West Hararghe zone

The severity of food insecurity in Ethiopia is among the worst globally, with record-breaking food assistance needs by various factors. This study tries to uncover various aspects of food security related to food availability, food access, food utilization and food stability dimensions of food security. The study was executed in the west Hararghe zone of the Oromia region of Ethiopia. Its main objective was to determine the food security status of households, with specific objectives aiming at computing individual daily kilo calorie intake, determining the average food requirement, comparing the relative risk between food secure and insecure households and identifying factors that affect household food security status. A multi-stage sampling procedure, involving the purposive selection of; the Zone and Woreda, and a simple random selection of households, to draw the required number of representative sample respondents, was adopted. Hence, from 4163 total households, 134 were selected for collecting primary data. Data were analyzed using descriptive statistics, relative risk analysis using Cohorts and independent tests using ANOVA. Food security status was measured using the Household Food Balance Model (HFBM). Using this model, the study obtained 1973 kilo calories per individual per day intake and 2108 kilo calorie as their requirement, which indicated households were energy deficient by 135 kilo calorie with 2-sided-value < 0.1 critical level (t= -1.747, df =133 & sig2-sided. 0.083). Independent test results showed that farm income (at p-value < 0.1), gross product (at p-value < 0.05), age of household head (at p-value < 0.1), years of owning land (at p < 0.1) and family size (at p-value < 0.1) contributed significantly to food security status. Cross-tabulation showed a linear relationship between food security and higher education level (at p-value < 0.05), which urges a concern in improving farming societies’ literacy to the desired level. In the study areas, about 91.8% of the population produces crops depending on the seasonal rainfall and their daily kilo calorie consumed depends on it; this is statistically correlated with the food insecurity problem at p-value < 0.1 critical level (lambada = 1.75 & sig. = 0.08). Therefore, to tackle the food insecurity problem, alternative method of crop production should be devised such as the establishment of irrigation schemes, water harvesting structures, and water conservation practices, among others. Key words: food security, calorie requirement, food availability, relative risk

Dynamics of household food security pre and post the COVID-19 pandemic in Bengkulu Province, Indonesia

After the COVID-19 pandemic, there have been changes in the Food Security Index in Bengkulu Province. One of the main challenges in supporting food security at the household level is the development of community capacity and self-reliance in addressing food issues. Information is needed factors that affect household food security in Bengkulu Province, including the impact of the COVID-19 pandemic. This research aims to analyze the factors that influencing household food security and understanding the dynamics before and after the COVID-19 pandemic regarding household food security in Bengkulu Province. This research can provide a basis for policy-making for the Government of Bengkulu Province. The analytical method used is multinomial logistic regression to identify the factors affecting household food security. The results of analysis show that influencing household food security include pre- and post-pandemic, home ownership status, lighting type, recipients of the Family Hope Program (PKH), adequate sanitation, and average household expenditure. There has been a decrease in energy consumption in self-owned households and households not receiving PKH after the COVID-19 pandemic. Significant changes also occurred in households with non-PLN lighting. Households with inadequate sanitation tend to be food insecure. The pandemic tends have a higher expenditures of household.JEL Classification D19; H75; Q18

MANAJEMEN STOK PANGAN RUMAH TANGGA PETANI PADI ANGGOTA LUMBUNG PANGAN DI KECAMATAN AMBARAWA KABUPATEN PRINGSEWU

This study aimed firstly to analyze the management of household food stocks and secondly to analyze the various factors affecting household food stocks for rice farmers. All rice farmers were members of the food barn in Ambarawa Sub-district, Pringsewu District. The samples were selected by simple random sampling consisting of 7 granaries with a total of 70 members. The data were collected from January to February 2023. To obtain the first objective, the data were analyzed by using the calculation of food stocks referring to the Chafid equation formula (2017), i.e. the amount of food inventory was subtracted by its sale quantity and its utilization. To obtain the second objective, the data were analyzed by using the multiple linear regression. The results showed that the food stocks of rice farmers who were members of the food barn were 573 kg of MDG in the first season and 450 kg of MDG in the second season, which were not an ideal amount for food stock. This was because the ideal amounts of needs were 586.93 kg of MDG for the first season and 591.51 kg of MDG for the second season. Some of the factors affecting the food stock of the rice farming households incorporated in food barns were land area and household income. Key words: regression analysis, sale delay analysis, stocks, storage.

Does COVID-19 Influence the Urban Household’s Food Security in Horo Guduru Wollega Zone, Ethiopia?

Household food insecurity is an important variable for understanding the nutritional status of children and women in low-income countries. This study was therefore initiated to determine household food insecurity status and to analyse the impact of COVID-19 on household food security in a selected number of households in the Horo Guduru Wollega Region of Ethiopia. Multistage sampling methods were used in this study. First, 4 were randomly selected from 12 found in the Horo Guduru Wollega area. The population/size ratio is then used to select households in each city. Finally, the eligible households for the study were randomly selected. Accordingly, 360 sample data were collected from 5,710 poor households in four urbans in the Horo Guduru Wollega zone. Both qualitative (in-depth interview) and quantitative data (structured questionnaires) were included in this study. The data collected were analysed using the propensity score matching model. The result of the concordant estimation of the propensity score showed supportive indications for improving the food security standard of living. All consistent test methods used for analysis showed that there was a statistically significant difference in the assessment of dietary diversity between safe and unsafe foods. This study concludes that the COVID-19 pandemic is affecting household food security in the study area. Therefore, all concerned bodies are responsible to overcome the problem of food insecurity that occurred due to the COVID-19 in the region and nationally. The data analysed to know impact COVID-19 on food security in the study area. The propensity score matching estimation result has shown supportive evidence about the improvements of the living standard of food security. All of the matching test methods employed for the analysis showed that there was statistically significant dietary diversity scores difference between food secure and insecure. In general, this study revealed that COVID-19 pandemic affects household food insecurity status in study area.

Characteristics and Determinants of Household Food Consumption of Female Vegetable Farmers in Pekanbaru City, Riau Province, Indonesia

Food is a fundamental human need. Food must be provided in sufficient quantity, be of good quality, be safe to consume, and be affordable. Furthermore, the determining factor of household food consumption is income. If income increases, the consumption pattern of nutritious food will also improve. The study aimed to analyze the characteristics of female vegetable farmers, their household food consumption, and the determinants of household food consumption in Pekanbaru City. The research data were obtained through an interview survey, with 65 female vegetable farmers selected using simple random sampling. This study found that female vegetable farmers in Pekanbaru City were of productive age, had a high school education level, and mostly had 3-4 family members. The household food consumption of the participants fulfilled the PPH score target for Pekanbaru City but did not fulfill the national target. Therefore, the household food security of female vegetable farmers in Pekanbaru City has not been achieved nationally. The study further revealed that household income, number of family members, and education of female vegetable farmers were significant determinants of household food consumption. In contrast, the age of female vegetable farmers did not significantly affect household food consumption. Overall, the study highlights the importance of improving the food security of female vegetable farmers in Pekanbaru City by addressing the significant determinants of household food consumption. This can be achieved by implementing policies and programs to increase household income, improve education levels, and reduce family size.

Exploring household food security through institutional factors: A statistical and mathematical analysis

Achieving household food security is the tumbling issue of the century. This article explores the factors affecting household food security and solutions by utilizing a synergy of statistical and mathematical models. The methodology section is divided into two portions namely sociological and mathematical methods. Sociologically, 379 household heads were interviewed through structured questions and further analyzed in terms of descriptive and binary logistic regression. The study found that 4 independent variables (poverty, poor governance, militancy, and social stratification) showed a significant association (P = 0.000) to explain variations in the dependent variable (household FS). The Omnibus test value (χ2= 102.386; P = 0.000) demonstrated that the test for the entire model against constant was statistically significant. Therefore, the set of predictor variables could better distinguish the variation in household FS. The Nagelkerke’s R Square (R2 = .333) helps to interpret that the prediction variable and the group variables had a strong relationship. Moreover, 23% to 33% variation in FS was explained by the grouping variables (Cox and Snell R2 = 0.237 and Nagelkerke’s R2 = 0.333). The significant value of Wald test results for each variable confirmed that the grouping variables (poor governance P = 0.004, militancy P = 0.000, social stratification P = 0.021 and poverty P = 0.000) significantly predicted FS at the household level. Mathematically, all the statistics were validated further through the application of spherical fuzzy mathematics (TOPIS and MADM) to explore what factors are affecting household FS. Thus, the study found that F3 (poverty) > F2 (militancy) > F4 (social stratification) > F1 (poor governance) respectively. Thus, it could be concluded from these findings that the prevalence of poverty dysfunctional all the channels of household FS at the macro and micro levels. Therefore, a sound and workable model to eradicate poverty in the study area by ensuring social safety nets for the locals was put forward some of the policy implications for the government are the order of the day.

The Effect of Food and Financial Remittances on Household Food Security in Northern Nigeria

Remittances from migrants are an important livelihood strategy to mitigate the impact of adverse economic conditions, particularly in developing countries and rural areas. This study examines how migration and remittances affect household food security by analyzing data collected from 180 farmers in northern Nigeria in 2018. The descriptive results show that households use remittances mainly for health care and education. Remittances are most commonly provided in the form of finances and food. Binary logit regression results show that food remittances have a significant positive impact on food security status. Financial remittances did not have a statistically significant impact on food security. As the number of migrants in a household increases, the probability that the household is food secure decreases. The propensity scores matching result also showed that migrant households receiving food remittances were more food secure. In light of these findings, we emphasized the need to include both financial and food remittances in studies to understand the effect on food security.

Effects of livestock ownership typology on household food security in rural Lesotho

This study examines how various livestock ownership typologies affect household food security in rural Lesotho, a developing nation marked with poverty and food insecurity. Despite the significance of livestock to food security, little study has been done in this area. The study divides households into four typologies of livestock ownership, ranging from none to varied animal herds, using data from 2,014 rural households. The study uses analysis of variance (ANOVA) and a mixed effect ordered probit model to examine the connections between these typologies and food security. In comparison to typology I (no livestock ownership), the results show that ownership typologies III (moderate small ruminants and poultry) and IV (big mixed poultry, small, and large animals) have a beneficial impact on household food security. The study advances our understanding of how different livestock species and herd sizes affect food security. It emphasizes the importance of nuanced and context-specific approaches when employing livestock to improve household food security, advising development and intervention programs to take into account the delicate interplay between livestock ownership and food security among the target population. Thus, intervention programs must carefully consider the complex and context-specific relationship between livestock ownership and food security.

Perceptions of climate change-related disasters and impact on household food security in rural farm households in Imo State, Nigeria

This study investigates the perception of climate change-related disasters and their impact on household food security in rural farm households in Imo State, Nigeria. Studies have consistently shown an association between climate change and food insecurity in different parts of the world. However the impact of climate change varies over time and space and therefore cannot be generalized. If household food security is to be secured in Imo State, it becomes imperative to identify the specific climate change related disasters that adversely affect household food security as well as the intervention priorities in specific communities. The study utilizes descriptive analytical tools to analyze the data from 186 farm households across four agricultural communities in the state. Findings reveal that excessive rainfall leading to flooding is the most prevalent climate change-related disaster, followed by excessive heat and irregular rainfall patterns. A significant majority of respondents attribute household food insecurity to these climate change-related disasters at high or very high levels. Various mitigation strategies adopted by households include changes in farming practices, irrigation methods, crop replacement, and land modification techniques. The study also identifies top priorities for government intervention as improving drainage and irrigation systems, establishing community weather forecast centers, and providing fertilizer subsidies. Additionally, enhancing hedging technology and pest/disease control strategies were recognized as important interventions. The study emphasizes the importance of tailored interventions, continuous data collection, and awareness campaigns to enhance agricultural resilience and ensure food security in the face of climate change impacts.

Household Demand Analyses in Uyo Metropolis: A Study of Selected Determinants Responsiveness

The study is an attempt to evaluate household demand analyses in Uyo metropolis: a study of selected determinants responsiveness. The research employed survey data obtained from 200 households via individual interviews utilizing a meticulously designed questionnaire. Information on income, age, sex of household head, household size, educational background was collected to capture household demography. The data were also collected on household expenditure on the selected food and nonfood item, their respective prices and the quantity consumed in a given month. The study adopted the quadratic almost ideal demand system (QUAIDS) as a model. The result indicated that factors that affect household food expenditure on Rice, Beans and Garri are the prices of the goods, income, household size, level of education and the prices of other goods. Similarly, the study found negative compensated and uncompensated own price elasticity of demand for the food items rice, beans and garri while beer has a positive own price effect. All the goods were found to be price inelastic as their own price elasticity lies between -1 and 1. Again, all food items were found to have negative cross price elasticity and which is less than one indicating that they are substitutes and price inelastic. On the other hand, the study found evidence of complementary relationship between beer and food items like garri and beans. The study recommends that the government subsidize food prices, lower taxes on these goods, provide cash transfers to the poor, or promote the production of these food items by giving preference to farmers who produce them in order to lessen the impact of such price increases on the demand for these commodities.

Assessment of Food Security Status and its Coping Mechanism in Selected Districts of Gamo Gofa Zone, Southern Ethiopia

The study was conducted in selected Districts of Gamo Gofa Zone with the main objectives to identify the determinants of food security status and its coping mechanisms. Result was reported by percentage, frequency and average, Chi-square, t-test and binary logit model. Household calorie acquisition in food consumption was used to evaluate the status of household food security. The totals of 196 respondents were used. Among them, 39.8 % were food secure and 60.2% were not secure. The average Kcal consumed by food secure and insecure households was 2756.3 and 1506.2 respectively. There was a statistical significance average variation of kcal consumption per day per AE (p<1%). The binary logistic model result shows that five were found to be a significant effect on the household food security status out of 11 variables included in the model. These were: farm size, TLU, Market, Food aid, and Annual food expenditure were significantly affecting household food security status (p<10%, 5%, and 1%). Rural households have practiced different coping mechanisms at different stages of food deficit including: Sale of livestock, reduce the size and the number of meals, receive food aid, involve in off-farm activities, daily labor, borrow cash/ kind from others were the dominant coping mechanisms. According to this finding recommended that technologies that improves the productivity of farm and livestock should be given more attention. Some of the coping mechanisms practiced by farmers were more harmful than others. Practices: like rent out farm, livestock sale, and charcoal making have negative effect on subsequent period production and productivity of the farmers as well as negative environmental effect. Therefore, understanding the coping mechanisms performed by the household provides a clue for the determination and promotion of sustainable development strategies.

Impact of adoption of better management practices and nutrition-sensitive training on the productivity, livelihoods and food security of small-scale aquaculture producers in Myanmar

Small-scale aquaculture is a major source of food in Myanmar. Beyond its importance for food security and nutrition, small-scale aquaculture contributes to the livelihoods of many rural households and is a potentially valuable strategy for rural development. However, small-scale aquaculture producers have limited access to improved production technologies and information, which hampers the productivity and socioeconomic performance of small-scale aquaculture systems. In this study we assessed the impact of the adoption of better management practices and exposure to nutrition-sensitive training by 379 small-scale aquaculture producers in the Sagaing and Shan regions of Myanmar. We focused on whether and how the exposure to these interventions affected household food security through improvements in productivity and livelihoods. We used Propensity Score Matching to compare the performance of groups that were exposed to the intervention for one or two years, for seven impact variables. Exposure to the intervention had a positive effect for most impact variables, with differentiated effects among variables, group comparisons and regions. In terms of food security, beneficiaries had significantly higher dietary diversity (measured as the Food Consumption Score, FCS), but there were no significant differences for fish self-consumption (measured in kg/week). Longer exposure to the interventions produced significantly higher positive effects across most impact variables for the 2-year beneficiaries compared to 1-year beneficiaries and control groups. Our study suggests that the length of exposure to such interventions can be important in mediating the actual impact of small-scale aquaculture systems on household food security and livelihoods. Sustained help to small-scale producers should be considered in initiatives and development projects seeking to enhance the food security and rural development of small-scale aquaculture systems in Myanmar, and beyond.

Household Food Security Study Before The Pandemi, During The Pandemi and When New Normal in Gorontalo District

The purpose of this study is to analyze factors affecting household food security before the pandemic, during the pandemic, and the new normal in Gorontalo District. The method applied in this study is a qualitative descriptive method while the methods used in data collection are interviews, observation, documentation, and questionnaires. The results of the study show that the factors that affect household food security include the number of family members (X1), pre-pandemic income (X2), pandemic income (X3), new normal income (X4), and expenditure (X5), with t-test analysis can be seen that the variable number of family members (X1), Income during the Pandemic (X3) and Income during the New Normal (X4) has no significant effect on household food security (Y), while the variables Pre-Pandemic Income (X2) and Expenditures (X5) has a significant effect on household food security (Y). It can be seen that farmers can still exist during a pandemic, it is not too influential because farmers are still carrying out their activities, they can still eat garden produce, and their catch.

Household Food Insecurity and Its Determinant Factors in Eastern Ethiopia in 2021

Background: Many households in urban areas suffer from severe food insecurity. In Ethiopia, current economic recession, pandemic, locust invasion, and conflict, disproportionately aggravated the problems. This study aims to assess food insecurity in household and its factors in the Eastern Ethiopia. Methods: A community-based, cross-sectional study was conducted to assess 616 households in urban areas of Eastern Ethiopia using simple random sampling. FANTA Indicator Guide (v.3) Questionnaires were used as data collection tool. Then, the information was entered into Epi-data version 3.02 and exported to SPSS version 21. To determine factors affecting household food insecurity, binary regression analysis was performed, and a p-value of < 0.05 at a 95% confidence interval was considered statistically significant. Model fitness was checked using the Hosmer-Lemeshow test. Results: The prevalence of household food insecurity was 41.7% (95% CI: 37.4–45.6). The following factors were determined as food insecurity predictors: household head's sex [Adjusted Odds Ratio (AOR)=1.75, 95% CI: 1.08–2.84], household head's education (AOR= 0.52, 95% CI: 0.33–0.99), mother's occupation [AOR= 0.3, 95% CI: 0.19–0.57], households with the medium wealth index (AOR =1.72, 95% CI: 1.06–2.78) and households with the lowest wealth index (AOR=4.01, 95% CI: 2.35–6.86). Conclusions: The prevalence of household food insecurity in urban areas of Eastern Ethiopia is high. The food insecurity was significantly affected by residency, education, occupation, and wealth index. The government should focus on socio-economic policies targeting the vulnerable and improve their economic status.

Household Size and Household Food Security in Ngetta Ward, Lira City, Northern Uganda

Purpose: The study examined the effect of Household size/family size on Household food security in Lira city East Division. Specific issues that were studied are; the impact of average household size on household food security, the level of household food security and the effect of household size on household food security ‟household food security and whether household size affects household food security.
 Methodology: A purposive sampling and simple random sampling method for the study was used to select houses in each cell for the distribution of the questionnaire. Questionnaires and interview guide served as the main tools for data collection. The study targeted a sample population of 300 respondents out of which 60 participants were drawn from the small family and the other 240 from the large family in the study area.
 Findings: The findings indicated that, large family size puts an extra burden on food consumption and is more likely to experience food insecurity in contrast to households with a small and average family size. Large households, with more young or school-going children, also tend to fall below the poverty line and vulnerable to food insecurity. The results further revealed financial problems, lack of parental care and poor heath as the challenges faced by large families.
 Unique contribution to theory, practice and policy: This study contributes to the understanding of the relationship between household size and household food security so that policy makers can plan for an ever growing human population especially in the rural and peri-urban areas. The study recommends the need for intensive education on population related matters for parents and various incentives packages to families with smaller sizes.

Large-scale agricultural land investments and food security in Nigeria

The study examines how large-scale agricultural land investments (LIs) affect household food security in Nigeria. It is one of the few studies in Nigeria that offers new empirical insights into household food security. Precisely, it unravels how LIs affect the livelihood outcomes of households in communities where LIs operate compared to households in communities without such LIs. This study engages the mixed methods of analysis involving quantitative and qualitative techniques. The quantitative data is drawn from the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) utilising the Logistic regression technique. The qualitative aspect of this study involved fieldwork conducted in two distinct Nigerian states: Kwara State, situated in the North-Central region, and Ogun State, located in the South-West region. The qualitative findings further enrich the quantitative findings. It also helped to investigate the nature of jobs households engaged in and also the employment density of the investors’ farms which could not be done using the national representative data (LSMS). The results indicate that households in communities without land investments have 0.2% higher likelihood of being more food secure than households in communities with land investments and it is significant at 5%. The qualitative analysis reveals several key insights, including the observation that female headed households in communities with LIs are less likely to be food secure, receive less wages, and spend more time in communities with LIs. Government should put in place policies (for example, compensation policies) that will ensure that land deals are properly monitored and structured to benefit and protect the host communities. If the government fails to properly regulate land deals, rural people will always suffer. Also, they should monitor and control the activities, and the type of crops grown in investment farms so that land investments can bring about the desired benefits such as improvement in household livelihood and enhance food security in the communities where they exist.

Forecasting the different influencing factors of household food waste behavior in China under the COVID‐19 pandemic

AbstractAt present, both developed and developing countries around the world are facing a serious problem of household food waste. The current state of food waste cannot be ignored, especially during the COVID‐19 pandemic. This study examined the effects of psychological level factors, cultural level factors, and situational level factors on household food waste behavior in China. Besides, the factors affecting household food waste behavior were identified and evaluated using the extended theory of planned behavior (TPB) model. In this study, participants (N = 337) completed a questionnaire assessing their household food waste behavior. We found that COVID‐19 food supply restriction, budget constraints, attitude, subjective norm, and perceived behavioral control have a positive significant impact on residents' intention to reduce food waste. The result unveiled that perceived health risks, herd mentality, status display face consciousness, and other‐oriented face consciousness have a negative significant impact on residents' intention to reduce food waste. We tested the mediating effect of intention to reduce food waste between antecedent variables and household food waste behavior. The study adds to the academic literature and practical implication on Chinese household food waste behavior by combining numerous factors on a single model, grounded in the TPB.