Impact of COVID-19 Pandemic on Willingness to Consume Insect-Based Food Products in Catalonia
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection and Sampling Method
2.2. Questionnaire Design
2.3. Consumers’ WTC the Proposed Edible Insect-Based Products
The increasing demand for the consumption of meat as a source of protein is compromising the sustainability of the systems of animal production. Products enriched with insect proteins are currently appearing on the Spanish market as an environmentally sustainable source of protein compared to protein of other animal origin. Would you be willing to consume enriched food products with insect protein if their organoleptic characteristics remain unaltered (taste, color, and odor)?
2.4. Determinant Factors Affecting the Consumers’ WTC. The Multinomial Logit (MNL) Model
3. Results and Discussion
3.1. WTC before and during Lockdown
3.2. Factors Affecting the WTC Insect-Based Products
3.2.1. Common Determinant Factors of Consuming Insects before and during COVID-19
Gender
Age
Environmental Respectfulness/Ecological Importance
Labor Situation
Income
3.2.2. Determinant factors of consuming insects before COVID-19
Buying Food Online
Origin
Advertisements
Quality Score
Expenditure
Education
3.2.3. Determinant Factors of Consuming Insects during the COVID-19 Outbreak
Following Restrictions/Informed about Symptoms/Contracted COVID-19
Cereal Consumption
Children at Home
Increase in Food Prices
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
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Variable | Level | Before Lockdown | During Lockdown |
---|---|---|---|
Gender | Male | 50.9% | 49.5% |
Female | 49.1% | 50.5% | |
Age group | 18–39 years | 35.8% | 33.3% |
40–59 years | 41.9% | 38.3% | |
60–79 years | 22.3% | 28.5% | |
Residence area | Urban | 85.0% | 90.2% |
Rural | 15.0% | 9.8% | |
Education level | Incomplete primary education | 1.0% | 0.6% |
Primary education | 6.6% | 4.4% | |
Secondary education | 40.7% | 39.3% | |
University education | 51.7% | 55.7% |
Product | Event | Positive WTC | Uncertain WTC | Negative WTC | Chi-Square Value | p Value |
---|---|---|---|---|---|---|
Strawberry Jam | Before lockdown | 13.4% | 59.9% | 26.7% | 25.89 | 0.00 |
During lockdown | 8.5% | 51.8% | 39.7% | |||
Yogurt | Before lockdown | 15.8% | 58.2% | 26.0% | 27.43 | 0.00 |
During lockdown | 9.1% | 52.2% | 38.7% |
Variable Acronym and Description |
---|
V1: Gender: female (0); male (1) |
V2: Age: 40–79 years old (0); 18–39 years old (1) |
V3: Buy food from internet: no (0); yes (1) |
V4: Importance of origin when buying food: not important (1) to very important (7); mean = 4.71, Sd = 1.66 |
V5: Ads are a necessary thing in society: totally disagree (1) to totally agree (7); mean = 4.52, Sd = 1.66 |
V6: Environmental respectfulness of food produced in Catalonia: lower environmental respectfulness (0); higher environmental respectfulness (1) |
V7: Quality score of seasonal food: lowest quality (1) to highest quality (11); mean = 9.44, Sd = 1.72 |
V8: Labor situation: unemployed (0); employed (1) |
V9: Household’s monthly net income: more than EUR 1000 (0); EUR 1000 or less (1) |
V10: Average monthly expenditure on food relative to average (excluding restaurants): below average (0); within or above average (1) |
V11: Education level: below primary, primary, or secondary education (0); university education (1) |
Variable Acronym and Description |
---|
V1: Gender: female (0); male (1) |
V2: Age: 40–79 years old (0); 18–39 years old (1) |
V3: How strictly have you been following the restrictions to prevent the spread of COVID-19: not strictly (1) to very strictly (7); mean = 6.24, Sd = 1.05 |
V4: How has COVID-19 impacted your consumption of cereals: I never consume it, decreased, or did not change (0); increased (1) |
V5: Children at home from 0 to 12 years: no (0); yes (1) |
V6: Body ache or muscle pain is a common symptom of COVID-19: definitely false (1) to definitely true (7); mean = 5.64, Sd = 1.34 |
V7: Household’s monthly net income: more than EUR 1000 (0); EUR 1000 or less (1) |
V8: How did the importance of ecological attribute change for you when shopping for food during COVID-19: I never consider it, decreased, or did not change (0); increased (1) |
V9: Did you contract COVID-19 virus: no (0); yes (1) |
V10: Have you experienced an increase in food prices during the COVID-19 outbreak: no (0); yes (1) |
V11: Labor situation: unemployed (0); employed (1) |
Jam | Yogurt | |||||||
---|---|---|---|---|---|---|---|---|
Positive WTC | Uncertain WTC | Positive WTC | Uncertain WTC | |||||
β | eβ | β | eβ | β | eβ | β | eβ | |
αi | −1.55 | 2.06 *** | −1.27 | 1.91 *** | ||||
V1 | 1.17 *** | 3.23 | 1.05 *** | 2.87 | 1.06 *** | 2.89 | 1.00 *** | 2.72 |
V2 | 1.27 *** | 3.55 | 0.51 ** | 1.66 | 1.00 *** | 2.72 | 0.28 | 1.32 |
V3 | 0.95 *** | 2.60 | 0.27 | 1.31 | 0.70 ** | 2.02 | 0.50 ** | 1.65 |
V4 | −0.27 *** | 0.77 | −0.22 *** | 0.81 | −0.29 *** | 0.75 | −0.25 *** | 0.78 |
V5 | 0.25 *** | 1.28 | 0.11 * | 1.11 | 0.21 *** | 1.24 | 0.14 ** | 1.16 |
V6 | 1.60 *** | 4.94 | 1.24 *** | 3.44 | 2.20 *** | 9.02 | 1.25 *** | 3.48 |
V7 | −0.16 * | 0.85 | −0.26 *** | 0.77 | −0.27 *** | 0.77 | −0.24 *** | 0.78 |
V8 | 0.78 ** | 2.19 | 0.25 | 1.29 | 0.63 ** | 1.87 | 0.34 * | 1.41 |
V9 | - | - | - | - | 0.83 ** | 2.28 | 0.10 | 1.10 |
V10 | −0.77 ** | 0.46 | −0.03 | 0.97 | - | - | - | - |
V11 | - | - | - | - | 0.54 ** | 1.71 | −0.09 | 0.91 |
McFadden R2: 0.118 Class.: 63.7% | McFadden R2: 0.113 Class.: 62.2% |
Jam | Yogurt | |||||||
---|---|---|---|---|---|---|---|---|
Positive WTC | Uncertain WTC | Positive WTC | Uncertain WTC | |||||
β | eβ | β | eβ | β | eβ | β | eβ | |
αi | −2.88 * | 3.26 *** | −1.67 | 3.09 *** | ||||
V1 | 0.27 | 1.31 | 0.37 * | 1.45 | 0.13 | 1.14 | 0.42 ** | 1.52 |
V2 | 1.59 *** | 4.88 | −0.24 | 0.79 | 1.49 *** | 4.42 | −0.09 | 0.91 |
V3 | −0.11 | 0.89 | −0.19 * | 0.82 | −0.25 | 0.78 | −0.26 ** | 0.77 |
V4 | 1.03 ** | 2.79 | 0.39 | 1.48 | 0.94 ** | 2.55 | 0.32 | 1.38 |
V5 | 0.46 | 1.58 | 0.73 *** | 2.08 | 0.34 | 1.41 | 0.44 * | 1.55 |
V6 | 0.21 | 1.24 | −0.28 *** | 0.75 | 0.13 | 1.14 | −0.29 *** | 0.75 |
V7 | 1.07 ** | 2.91 | −0.38 | 0.68 | 1.40 ** | 4.06 | −0.28 | 0.75 |
V8 | - | - | - | - | 0.85 ** | 2.35 | 0.16 | 1.17 |
V9 | 1.41 | 4.10 | −1.98 * | 0.14 | - | - | - | - |
V10 | 0.03 | 1.03 | −0.56 *** | 0.57 | - | - | - | - |
V11 | - | - | - | - | 0.69 * | 1.99 | 0.30 | 1.35 |
McFadden R2: 0.106 Class.: 61.5% | McFadden R2: 0.100 Class.: 60.7% |
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Khalil, R.; Kallas, Z.; Haddarah, A.; El Omar, F.; Pujolà, M. Impact of COVID-19 Pandemic on Willingness to Consume Insect-Based Food Products in Catalonia. Foods 2021, 10, 805. https://doi.org/10.3390/foods10040805
Khalil R, Kallas Z, Haddarah A, El Omar F, Pujolà M. Impact of COVID-19 Pandemic on Willingness to Consume Insect-Based Food Products in Catalonia. Foods. 2021; 10(4):805. https://doi.org/10.3390/foods10040805
Chicago/Turabian StyleKhalil, Reine, Zein Kallas, Amira Haddarah, Fawaz El Omar, and Montserrat Pujolà. 2021. "Impact of COVID-19 Pandemic on Willingness to Consume Insect-Based Food Products in Catalonia" Foods 10, no. 4: 805. https://doi.org/10.3390/foods10040805
APA StyleKhalil, R., Kallas, Z., Haddarah, A., El Omar, F., & Pujolà, M. (2021). Impact of COVID-19 Pandemic on Willingness to Consume Insect-Based Food Products in Catalonia. Foods, 10(4), 805. https://doi.org/10.3390/foods10040805