Consumers’ risk perception of vegetables in Southeast Asia: Evidence from Laos, Cambodia, and Viet Nam
Keywords
Determinants · Developing countries · Food safety · Risk perception · Southeast Asia · Vegetables
Highlights
- Risk perception of vegetables was considerably high and varies across Laos, Cambodia, and Viet Nam.
- Trust and perception of hazards determine risk perception in all selected countries.
- Other factors influencing risk perception differed among the three countries.
- Interventions to address heightened food risk perception should be tailored to each country.
1. Introduction
The prevalence of food-borne outbreaks has drawn attention to food safety issues in Southeast Asia. In this region, food-borne illnesses have caused sickness in 150 million people and death in 175 thousand people, which occupied about 42% of the global death toll (World Health Organization [WHO], 2015). Food safety is even more problematic in Laos, Cambodia, and Viet Nam, and who are considered developing countries in Southeast Asia. This is due to the lack of food safety knowledge along food chains, limited resources for food safety surveillance, and poor enforcement of regulations. Subsequently, consumers in these countries are very concerned about food safety (Chadwick, Otte, & Roland-Holst, 2008, World Bank, 2017). Food safety concerns reflect low consumer confidence in food, which might lead to negative societal and economic effects in Laos, Cambodia, and Viet Nam. In order to solve the problem, it is important to gain insight into consumer self-assessment of food safety risk.
This paper focuses on risk perception of vegetables in Laos, Cambodia, and Viet Nam. Risk perception of vegetables is a subjective evaluation of the health risk associated with contaminated vegetables. Among different contamination sources of vegetables, pesticide residue is the biggest challenge in these countries, as there is ample evidence of pesticide overuse in vegetable production (Schreinemachers et al., 2017). Since studies on risk perception of food, including vegetables, are scant in Laos and Cambodia, it is unclear how Laotians and Cambodians perceive vegetable risk. Some surveys in Viet Nam show that consumers rate vegetables as the riskiest common food due to concerns about pesticide residue (Ha, Shakur, & Pham Do, 2019, Figuié, Bricas, Thanh, Truyen, & de l’Alimentation, 2004). Besides hazard concerns, little is known about other factors influencing risk perception of vegetables. This paper will address these research gaps.
The objective of this paper is to compare the determinants of vegetable risk perception among Laos, Cambodia, and Viet Nam. Previous literature has established some key predictors of food risk perception. Individuals tend to lower risk perception when they trust in institutions (Hobbs & Goddard, 2015) and feel that they are knowledgeable about food hazards (Siegrist, 2000). In contrast, perception of the danger of food hazards (Cheng et al., 2016) and information about food incidents (Wachinger, Renn, Begg, & Kuhlicke, 2013) increase risk perception. According to Douglas and Wildavsky (1983), risk perception was a social or cultural construct. Laos, Cambodia, and Viet Nam are different in regards to food safety management, economic development, and social and cultural settings. Risk perception of vegetables and its determinants, therefore, might vary among these countries. This paper is the first cross-country analysis of food safety risk perception in Asian developing countries. The paper will advance our understanding of food risk perception and provide evidence-based solutions to address food safety concerns in Asian developing countries.
2. Methodology
The study used data from our consumer survey conducted in Laos, Cambodia, and Viet Nam in 2019. The survey was conducted in six large cities including Vientiane and Savannakhet (Laos), Phnom Penh and Siem Reap (Cambodia), and Hanoi and Ho Chi Minh City (Viet Nam). A total of 1,199 main food shoppers comprising of 571 Vietnamese, 328 Laotians, and 300 Cambodians were randomly surveyed in the mentioned cities.
Table 1 shows the dependent variables and their potential explanators that have been well established in previous literature. Vegetable Risk Perception, the dependent variables were originally measured by a 5-point Likert scale. It was then transformed into a 3-point scale: 1 (low risk), 2 (medium risk), and 3 (high risk) for better interpretation of regressions. We employed ordered logit regression that is suitable for ordinal variables. Our survey revealed a high level of vegetable risk perception in the surveyed countries, particularly in Viet Nam (mean score of 3.56 for the whole sample, of 3.7 for Viet Nam, Table 1)
Variables | Whole sample (n=1199) |
Laos (n=328) |
Cambodia (n=300) |
Viet Nam (n=571) |
||||||
Mean | SD | [Min-Max] | Mean | SD | Mean | SD | Mean | SD | ||
Vegetable Risk Perception | 3.56 | 0.90 | [1-5] | 3.43a | 0.91 | 3.41a | 0.81 | 3.72b | 0.93 | |
Hazard Knowledge | ||||||||||
– Pesticide | 2.75 | 1.16 | [1-5] | 3.25a | 1.15 | 2.01b | 0.96 | 2.85c | 1.06 | |
– Bacteria | 2.61 | 1.06 | [1-5] | 2.95a | 1.00 | 2.02b | 0.88 | 2.74c | 1.06 | |
– Heavy metal | 2.17 | 1.14 | [1-5] | 2.71a | 1.21 | 1.32b | 0.64 | 2.31c | 1.06 | |
– GMO | 1.93 | 1.04 | [1-5] | 2.25a | 1.07 | 1.38b | 0.65 | 2.04c | 1.08 | |
Hazard Perception | ||||||||||
– Pesticide | 3.98 | 0.86 | [1-5] | 3.96a | 0.84 | 3.92a | 0.65 | 4.02a | 0.97 | |
– Bacteria | 3.64 | 0.91 | [1-5] | 3.48a | 0.81 | 3.48a | 0.78 | 3.82b | 0.99 | |
– Heavy metal | 3.75 | 0.95 | [1-5] | 3.40a | 0.87 | 3.61b | 0.75 | 4.02c | 1.01 | |
– GMO | 3.54 | 1.08 | [1-5] | 3.18a | 0.92 | 3.46b | 0.91 | 3.78c | 1.18 | |
Risk Information | ||||||||||
– TV | 3.20 | 1.05 | [1-5] | 3.03a | 0.97 | 2.55b | 0.88 | 3.65c | 0.97 | |
– Social media | 3.22 | 1.26 | [1-5] | 3.32a | 1.34 | 2.64b | 1.11 | 3.48a | 1.20 | |
– Word of mouth | 3.11 | 1.07 | [1-5] | 2.85a | 1.03 | 3.07b | 1.03 | 3.29c | 1.09 | |
Institutional Trust | ||||||||||
– Farmer | 2.25 | 0.90 | [1-5] | 2.64a | 0.83 | 2.64a | 0.70 | 1.83b | 0.97 | |
– Retailer | 2.25 | 0.94 | [1-5] | 2.57a | 0.77 | 2.14b | 0.65 | 2.14b | 1.11 | |
– Government | 2.93 | 0.93 | [1-5] | 3.44a | 0.79 | 2.76b | 0.83 | 2.40c | 1.26 | |
Children1 | 1.01 | 1.01 | [0-6] | 1.13a | 1.03 | 1.12a | 1.14 | 0.87b | 0.91 | |
Age | 39.54 | 13.08 | [18-78] | 43.96a | 11.80 | 42.55a | 13.50 | 35.42b | 12.28 | |
Education2 | 2.62 | 1.46 | [0-6] | 2.18a | 1.34 | 1.44b | 1.17 | 3.49c | 1.06 | |
Gender3 | 0.21 | 0.43 | [0-1] | 0.33a | 0.47 | 0.07b | 0.26 | 0.21c | 0.41 | |
LogIncome4 | 2.46 | 0.29 | [0.9-3.7] | 2.39a | 0.28 | 2.51b | 0.27 | 2.47c | 0.29 | |
Vegetable Importance5 | 4.08 | 0.80 | [1-5] | 3.95a | 0.75 | 4.11b | 0.53 | 4.14b | 0.92 | |
Vegetable Poisoning6 | 0.52 | 1.55 | [0-1] | 0.36a | 1.08 | 0.82b | 2.61 | 0.44a | 0.88 | |
Home grown7 | 0.55 | 0.5 | [0-1] | 0.77a | 0.42 | 0.40b | 0.49 | 0.50b | 0.50 | |
Descriptive statistics of selected variables.
Note a,b,c: different superscripts denote statistically different mean scores at 5% level using ANOVA analysis and Tukey’s post hoc test. 1: number of children; 2: education level is from 1 (no schooling) to 6 (postgraduate); 3: gender = 1 if male; 4: logarithm monthly income in USD; 5: perception of the importance of vegetables in the diet; 6: number of times the respondent has experienced vegetable poisoning in the last 2 years; 7: homegrown = 1 if the household is growing vegetables.
Hazard Knowledge (self-reported knowledge of hazards), Hazard Perception (perception about the danger of hazards), Risk Information (information acquisition about food incidents), and Trust are constructs that were measured by 14 items in total. Some correlation coefficients of these items were in the range from 0.5 to 0.7. Hence, Principle Component Analysis (PCA) was employed to transform this 14-item dataset into fewer uncorrelated components that preserve most of the information of the dataset (Jolliffe, 2002). ANOVA analysis shows that most of the mean scores of the items were statistically significantly different among Laos, Cambodia, and Viet Nam (Table 1). This suggests that the datasets of selected countries were inhomogeneous. PCA, therefore, was applied separately for each country. Components retained from PCA must have eigenvalue that is equal to, or larger than 1 (Jolliffe, 2002). Retained components and the last 8 variables in Table 1 were then regressed for each subsample.
3. Results and discussion
3.1 Results of PCA
All subsamples had significant Bartlett’s tests and acceptable Kaiser-Meyer-Olkin (KMO), which was higher than the threshold of 0.5 (Field, 2013). These two indicators confirmed the suitability of the datasets to PCA. Four selected components were Hazard Knowledge, Hazard Perception, Trust, and Risk Information.
Laos | Cambodia | Viet Nam | ||||||||||
1. Knowledge of hazards | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 |
Pesticide | .802 | .742 | .819 | |||||||||
Bacterial | .854 | .789 | .844 | |||||||||
Heavy metal | .772 | .853 | .859 | |||||||||
GMO | .772 | .737 | .768 | |||||||||
2. Perception of hazards | ||||||||||||
Pesticide | .674 | .629 | .786 | |||||||||
Bacterial | .762 | .750 | .858 | |||||||||
Heavy metal | .746 | .836 | .900 | |||||||||
GMO | .739 | .848 | .764 | |||||||||
3. Trust | ||||||||||||
Farmer | .782 | .821 | .761 | |||||||||
Food retailer | .817 | .756 | .693 | |||||||||
Government | .665 | .715 | .764 | |||||||||
4. Risk Information | ||||||||||||
TV | .782 | .704 | .693 | |||||||||
Internet | .416 | .791 | .732 | |||||||||
Word of mouth | .657 | .626 | .745 | |||||||||
Total variance explained (%) | 58.148 | 64.092 | 63.773 | |||||||||
KMO value | 0.663 | 0.726 | 0.717 |
PCA results.
Note: The rotation method is Varimax with Kaiser Normalization.
3.2 Results of ordered logit regression
A consistent result among three subsamples was the significant effect of trust and perception of hazards. The effect of other variables on risk perception tends to differ across countries. “Education” was only significant in Cambodia, while “Gender” determined risk perception in Viet Nam and Laos but not Cambodia. Homegrown vegetables and knowledge of hazards influenced vegetable risk perception in Cambodia only. Risk information and perception about the importance of vegetables in the diet shaped risk perception in Viet Nam but not in the other two countries.
Variables | Laos (n=328) | Cambodia (n=300) | Viet Nam (n=571) | |||
Coef. | SE | Coef. | SE | Coef. | SE | |
Children | – 0.134 | 0.107 | – 0.094 | 0.116 | – 0.013 | 0.104 |
Age | – 0.011 | 0.011 | – 0.004 | 0.011 | – 0.006 | 0.009 |
Education | – 0.010 | 0.099 | 0.303** | 0.135 | 0.066 | 0.104 |
Gender | – 0.570** | 0.239 | – 0.779 | 0.528 | – 0.692*** | 0.217 |
LogIncome | – 0.471 | 0.393 | 0.856 | 0.572 | 0.507 | 0.217 |
Homegrown | 0.038 | 0.263 | – 1.336*** | 0.278 | – 0.114 | 0.184 |
Vegetable Importance | 0.159 | 0.147 | 0.336 | 0.269 | 0.238** | 0.101 |
Vegetable Poisoning | 0.025 | 0.147 | – 0.053 | 0.056 | 0.237 | 0.111 |
Hazard Knowledge | 0.060 | 0.115 | 0.732*** | 0.162 | 0.223 | 0.095 |
Hazard Perception | 0.462*** | 0.114 | 0.291** | 0.132 | 0.443*** | 0.090 |
Trust | – 0.238** | 0.111 | – 0.565*** | 0.142 | – 0.160* | 0.090 |
Risk Information | 0.056 | 0.111 | – 0.189 | 0.147 | 0.236** | 0.096 |
McKelvey & Zavoina’s R2: | 10.40 | 39.40 | 16.80 |
Ordered logit regression results.
Note: *, **, *** denotes significant level at 10%, 5% and 1%, respectively.
3.3. Discussion
Trust is one of the two common determinants of risk perception across Laos, Cambodia, and Viet Nam. Consumers face difficulties in assessing food safety (Unnevehr et al., 2010). Holding personal trust in the government and others helps them reduce the complexity of food safety judgment, resulting in decreased risk perception of vegetables. Consistent with a survey in China (Chen, 2013), this paper confirms the role of trust in shaping food safety risk perception. Since trust in all institutions was low (Table 1), improving trust is one of the measures to address safety concerns in Laos, Cambodia, and Viet Nam.
Perception of hazards is another common predictor of vegetable risk evaluation in all studied countries. Consumers viewed all food hazards highly dangerous (mean scores from 3.56 to 3.9, Table 1). This view led to the perception that vegetable consumption is associated with high health risks. Noticeably, consumers perceived a larger threat from chemical hazards (pesticides, heavy metals), as compared to biological hazards (bacteria) (Table 1). However, according to WHO (2015), it is not chemical but biological hazards that are the main cause of food-borne illness in Southeast Asia. Consumers in our survey might be biased in hazard perception, which can cause a misinterpretation about vegetable risk.
Laos, Cambodia, and Viet Nam differed in some other factors influencing risk perception. Together with Taylor et al. (2012), we found that women perceived higher vegetable risk than men in Laos and Viet Nam. Women occupied about 70% and 80% of the sample in Laos and Viet Nam, respectively. Women are more responsive in ensuring household food safety. They act as a gatekeeper in selecting and preparing food for their families (Lin, 1995). Probably because of this role, risk perception was higher for women. This finding implies that women should be the target group of risk communication initiatives in Laos and Viet Nam.
Risk information determined risk perception in Viet Nam only. Risk perception is formed through a process of seeking, receiving, and processing information (Roberts et al., 2016). According to Ha et al. (2019), Vietnamese’ exposure to intensive information about food safety incidents from mass media has given rise to food safety risk perception. Hence, adequate risk communication is needed to form Vietnamese consumers’ unbiased food risk perception. Only in the Viet Nam subsample, perceived importance of vegetables shaped vegetable risk perception. Our survey revealed that vegetables were an essential cuisine for Vietnamese, as the mean score of “vegetable importance” is 4.2 out of 5 (Table 2). This suggests a high product involvement associated with vegetables in this country. Based on the perceived importance of vegetables and its positive relationship with risk perception, we recommend that better management of vegetable safety is urgently needed.
The presence of homegrown vegetables reduced the risk perceived of vegetables in Cambodia. There is a common belief that homegrown food is far safer than marketed alternatives (Green, Draper, & Dowler, 2003). Cambodian consumers who have homegrown vegetables, therefore, perceived a lower risk from their vegetable consumption. This paper highlights that supporting the self-provision of food in big cities in Cambodia would lower concern about food safety. In Cambodia, knowledge of hazards increased with vegetable risk perception. We previously expected that knowledge of hazards, a proxy of perceived control over food safety, would negatively affect risk perception of vegetables. However, our finding contradicts our previous expectation. More research is needed to retest the influence of food safety knowledge on risk perception in Southeast Asia.
4. Conclusions
Consumers in Laos, Cambodia, and Viet Nam perceive a considerably high level of vegetable safety risk. Reducing food risk perception is crucial due to its adverse impact on food consumption. This requires a better understanding of factors determining risk perception in these countries that have been ignored in previous studies. Using data from a survey of 1,199 consumers, we found that Laos, Cambodia, and Viet Nam have two similar determinants of vegetable risk perception: trust and knowledge of hazards. These countries were different regarding other predictors of risk perception. Risk perception was higher for females in Laos and Viet Nam. Results show that the importance of vegetables in the diet and risk information shaped risk perception in Viet Nam but not in the other two countries, and hazard knowledge and the presence of homegrown vegetables affected risk perception only in Cambodia. From a policy perspective, addressing public concerns over vegetable safety in developing countries in Southeast Asia will require an improvement of consumers’ knowledge of food hazards and institutional trust. However, since some factors shaping food risk perception vary among the three countries, risk communication should be country-specific. Heightened risk perception can generate a profound impact on food consumption. If vegetable safety is not managed properly, loss for the domestic vegetable sector is unavoidable in developing countries in Southeast Asia.
Acknowledgement
We appreciate the funding from the Asia-Pacific Network for Global Change for the project CRRP2018-10SY-Nguyen.
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