| Literature DB >> 36230045 |
Duo Chai1, Ting Meng2, Dong Zhang3.
Abstract
In order to study the impact of food safety concerns and government regulation on Chinese urban residents' organic food consumption willingness and behavior, an "online + offline" survey of 799 urban residents in Beijing has been conducted. Based on the theory of planned behavior, a structural equation model (SEM) was established and the government's food production support regulation (GP) and sales guarantee regulation (GC) were incorporated separately into the SEM as moderator variables. The path influence coefficients of respondents' food safety concerns, subjective norms, and perceived behavioral control on organic food consumption willingness were 0.065 (p < 0.05), 0.174 (p < 0.01) and 0.574 (p < 0.01), respectively. The influence of GP on organic food consumption willingness was 0.243 (p < 0.01), but its moderating effect on the promotion effect of food safety concerns and attitude to organic food consumption willingness was -0.001 (p < 0.01). The moderating effect of GC on the transformation from consumption willingness to behavior was 0.083 (p < 0.05). The results show that respondents attach the most importance to the comparison of costs and the benefits of organic food. Although the government's food production regulation will weaken the driving effect of food safety concern and benefit perception of organic food consumption willingness, it will still promote organic food consumption willingness on the whole. The government's supervision of food processing and sales is conducive to the occurrence of organic food consumption behavior.Entities:
Keywords: Chinese urban residents; food safety concern; organic food; satisfaction with government regulation; theory of planned behavior; willingness to consume
Year: 2022 PMID: 36230045 PMCID: PMC9564008 DOI: 10.3390/foods11192965
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Key issues of questionnaire.
| Latent Structure | Item | Statement | |||||
|---|---|---|---|---|---|---|---|
| Attitude | A1 | Do you think the food safety problem in your daily diet is serious? | |||||
| A2 | Do you think you can buy enough safe food at ordinary times? | ||||||
| A3 | Do you believe in the green and safety labels and publicity on food packaging? | ||||||
| A4 | Compared with agricultural products in general areas, do you prefer to buy food produced in mountainous areas, western regions or government certified beautiful rural areas, eco-tourism scenic spots and other similar places? | ||||||
| Subjective norms | S1 | How often have you heard and seen news related to food safety in the past year? | |||||
| S2 | How often did your colleagues, friends and neighbors talk about food safety in the past year? | ||||||
| S3 | How often did your colleagues, friends and neighbors recommend you to buy organic food in the past year? | ||||||
| Perceived behavior control | P1 | Do you agree that eating organic food can reduce disease? | |||||
| P2 | Do you think organic food is expensive compared with your income? | ||||||
| P3 | Do you think eating organic food is conducive to family harmony and happiness? | ||||||
| Intention to consume | I1 | Would you like to recommend organic food to others? | |||||
| I2 | If you have the opportunity, would you like to buy organic food as a gift for relatives and friends? | ||||||
| I3 | Compared with ordinary food, are you willing to give priority to organic food under the current price difference? | ||||||
| I4 | Are you willing to choose the eco rural and beautiful rural tourism certified by the government (sightseeing, eating farm meals, buying agricultural products)? | ||||||
| I5 | Are you willing to appeal, supervise and report food safety problems? | ||||||
| Action to consume | Y1 | How often have you traveled to rural areas in the past 3 years? | |||||
| Y2 | In the past year, how much did your family spend on organic food on average every month? | ||||||
| Y3 | In the past year, what was the proportion of your family’s monthly expenditure on organic food in the total expenditure on all food (about)? | ||||||
| Government job satisfaction: 1–5 points are used. 5 means very satisfied, and 1 means very dissatisfied | |||||||
| Satisfaction of government’s food production support work | Item | Statement | 1 | 2 | 3 | 4 | 5 |
| GP1 | Supervise the use of livestock and poultry drugs | ||||||
| GP2 | Supervise the use of pesticides and fertilizers | ||||||
| GP3 | Protect farmland ecological environment | ||||||
| GP4 | Improve rural living environment | ||||||
| GP5 | Support agricultural science and technology research and development | ||||||
| GP6 | Agricultural subsidies | ||||||
| Satisfaction of government’s food consumption guarantee work | GC1 | Food safety certification | |||||
| GC2 | Standardize food packaging information | ||||||
| GC3 | Food transportation supervision | ||||||
| GC4 | Food processing supervision | ||||||
| GC5 | Improve food safety laws | ||||||
| GC6 | Food safety publicity and education | ||||||
| GC7 | Develop food safety charities and public welfare undertakings | ||||||
| Income | Income | What is the average monthly income of your family in the past three years? | |||||
| The elderly/kids | The elderly/kids | What is the number of family members of the elderly over 60 years old and children under 12 years old in your family (total)? | |||||
| Illness | Illness | How many chronic diseases do you and your family living together have that require long-term dietary control? (for example: diabetes; cardiovascular and cerebrovascular diseases such as hypertension, coronary heart disease, stroke; lung diseases such as chronic tracheitis, emphysema, etc.; malignant tumors; mental diseases; gout, etc.) | |||||
Figure 1Schematic diagram of SEM model with the moderating effect of satisfaction with government regulation.
Descriptive statistics.
| Individual Characteristics | Participants (%) |
|---|---|
| n | 799 |
| Gender | |
| Male | 297 (37.17%) |
| Female | 502 (62.83%) |
| Academic qualifications | |
| High school or below | 99 (12.39%) |
| Associate degree | 137 (17.15%) |
| Undergraduate | 378 (47.31%) |
| Master’s degree or above | 185 (23.15%) |
| Age | |
| 19–30 years old | 198 (24.78%) |
| 31–45 years old | 363 (45.44%) |
| 46–59 years old | 218 (27.28) |
| ≥60 years old | 20 (2.5%) |
| Average age | 38.36 |
| Family income | |
| <CNY 4000 | 54 (6.7%) |
| CNY 4000–10,000 | 225 (28.16%) |
| CNY 10,000–20,000 | 282 (35.29%) |
| CNY 20,000–50,000 | 192 (24.03%) |
| >CNY 50,000 | 46 (5.76%) |
| Number of the elderly and children | |
| 0 | 108 (13.52%) |
| 1 | 190 (23.78%) |
| 2–3 | 278 (34.79%) |
| 4 | 156 (19.52%) |
| ≥5 | 67 (8.39%) |
| Number of chronic diseases suffered by oneself and family members | |
| 0 | 33 (4.13%) |
| 1 | 73 (9.14%) |
| 2 | 169 (21.15%) |
| 3 | 277 (34.67%) |
| ≥4 | 247 (30.91%) |
Construct measures, items, loadings, reliability and validity.
| Item | Loading | Composite Reliability (CR) | Average Variance Extracted (AVE) | Cronbach’s Alpha | |
|---|---|---|---|---|---|
| Attitude | A1 | 0.628 *** | 0.808 | 0.515 | 0.792 |
| A2 | 0.812 *** | ||||
| A3 | 0.752 *** | ||||
| A4 | 0.664 *** | ||||
| Subjective norms | S1 | 0.711 *** | 0.782 | 0.548 | 0.700 |
| S2 | 0.849 *** | ||||
| S3 | 0.646 *** | ||||
| Perceived behavioral control | P1 | 0.829 *** | 0.859 | 0.670 | 0.859 |
| P2 | 0.81 *** | ||||
| P3 | 0.817 *** | ||||
| Intention | I1 | 0.834 *** | 0.861 | 0.556 | 0.830 |
| I2 | 0.784 *** | ||||
| I3 | 0.763 *** | ||||
| I4 | 0.664 *** | ||||
| I5 | 0.670 *** | ||||
| Action | Y1 | 0.825 *** | 0.851 | 0.656 | 0.853 |
| Y2 | 0.759 *** | ||||
| Y3 | 0.843 *** | ||||
| GP | GP1 | 0.800 *** | 0.902 | 0.608 | 0.900 |
| GP2 | 0.793 *** | ||||
| GP3 | 0.859 *** | ||||
| GP4 | 0.774 *** | ||||
| GP5 | 0.744 *** | ||||
| GP6 | 0.697 *** | ||||
| GC | GC1 | 0.832 *** | 0.946 | 0.714 | 0.946 |
| GC2 | 0.833 *** | ||||
| GC3 | 0.825 *** | ||||
| GC4 | 0.845 *** | ||||
| GC5 | 0.867 *** | ||||
| GC6 | 0.858 *** | ||||
| GC7 | 0.854 *** |
*** p < 0.01. The effects of gender, age, education level and income, the number of elderly and children in the family, and the types of chronic diseases suffered by oneself and family members on organic food consumption willingness and behavior were controlled.
Fornell–Larcker criterion test.
| Attitude | Subjective Norms | Perceived Behavior Control | Intention | Action | GP | GC | |
|---|---|---|---|---|---|---|---|
| Attitude | 0.718 | ||||||
| Subjective norms | 0.225 | 0.74 | |||||
| Perceived behavior control | 0.37 | 0.351 | 0.818 | ||||
| Intention | 0.392 | 0.426 | 0.61 | 0.746 | |||
| Action | 0.183 | 0.198 | 0.284 | 0.465 | 0.809 | ||
| GP | −0.297 | −0.238 | −0.104 | −0.009 | −0.003 | 0.779 | |
| GC | −0.283 | −0.194 | −0.169 | −0.017 | −0.006 | 0.686 | 0.845 |
Discriminant validity (intercorrelations) of variable constructs.
| Attitude | Subjective Norms | Perceived Behavioral Control | Intention | Action | GP | GC | |
|---|---|---|---|---|---|---|---|
| A1 | 0.628 | 0.116 | 0.156 | 0.092 | 0.04 | −0.149 | 0.127 |
| A2 | 0.812 | 0.153 | 0.206 | 0.12 | 0.053 | −0.196 | 0.167 |
| A3 | 0.752 | 0.134 | 0.18 | 0.105 | 0.046 | −0.172 | 0.146 |
| A4 | 0.664 | 0.115 | 0.155 | 0.091 | 0.04 | −0.148 | 0.126 |
| S1 | 0.116 | 0.711 | 0.126 | 0.098 | 0.043 | −0.129 | 0.094 |
| S2 | 0.176 | 0.849 | 0.191 | 0.148 | 0.064 | −0.196 | 0.143 |
| S3 | 0.067 | 0.646 | 0.072 | 0.056 | 0.024 | −0.074 | 0.054 |
| P1 | 0.126 | 0.102 | 0.829 | 0.138 | 0.06 | −0.049 | 0.072 |
| P2 | 0.156 | 0.126 | 0.81 | 0.171 | 0.075 | −0.061 | 0.089 |
| P3 | 0.129 | 0.104 | 0.817 | 0.142 | 0.062 | −0.051 | 0.073 |
| I1 | 0.092 | 0.098 | 0.171 | 0.834 | 0.096 | −0.003 | 0.006 |
| I2 | 0.096 | 0.103 | 0.18 | 0.784 | 0.101 | −0.004 | 0.006 |
| I3 | 0.085 | 0.091 | 0.159 | 0.763 | 0.09 | −0.003 | 0.005 |
| I4 | 0.112 | 0.119 | 0.21 | 0.664 | 0.118 | −0.004 | 0.007 |
| I5 | 0.086 | 0.092 | 0.162 | 0.670 | 0.091 | −0.003 | 0.006 |
| Y1 | 0.035 | 0.037 | 0.065 | 0.084 | 0.825 | −0.001 | 0.002 |
| Y2 | 0.04 | 0.043 | 0.075 | 0.096 | 0.759 | −0.001 | 0.003 |
| Y3 | 0.047 | 0.05 | 0.087 | 0.112 | 0.843 | −0.002 | 0.003 |
| GP1 | −0.149 | −0.129 | −0.061 | −0.003 | −0.001 | 0.800 | 0.062 |
| GP2 | −0.161 | −0.14 | −0.066 | −0.004 | −0.002 | 0.793 | 0.183 |
| GP3 | −0.145 | −0.126 | −0.059 | −0.003 | −0.001 | 0.859 | 0.206 |
| GP4 | −0.113 | −0.098 | −0.046 | −0.003 | −0.001 | 0.774 | 0.127 |
| GP5 | −0.109 | −0.095 | −0.045 | −0.002 | −0.001 | 0.744 | 0.11 |
| GP6 | −0.113 | −0.098 | −0.046 | −0.003 | −0.001 | 0.697 | 0.013 |
| GC1 | 0.127 | 0.094 | 0.089 | 0.006 | 0.003 | 0.162 | 0.832 |
| GC2 | 0.13 | 0.096 | 0.091 | 0.006 | 0.003 | 0.105 | 0.833 |
| GC3 | 0.131 | 0.097 | 0.091 | 0.006 | 0.003 | 0.219 | 0.825 |
| GC4 | 0.15 | 0.111 | 0.105 | 0.007 | 0.003 | 0.107 | 0.845 |
| GC5 | 0.144 | 0.107 | 0.101 | 0.007 | 0.003 | 0.118 | 0.867 |
| GC6 | 0.139 | 0.103 | 0.097 | 0.006 | 0.003 | 0.093 | 0.858 |
| GC7 | 0.138 | 0.103 | 0.097 | 0.006 | 0.003 | 0.138 | 0.854 |
Collinearity statistics (variance inflation factor (VIF)).
| Intention | Action | |
|---|---|---|
| Attitude | 1.34 | |
| Subjective norms | 1.31 | |
| Perceived behavior control | 1.73 | |
| Intention | 1.31 | |
| Action | ||
| CP | 2.00 | |
| GC | 2.03 | |
| Attitude × GP | 1.84 | |
| Perceived behavior control × GP | 1.39 | |
| Intention × GC | 1.61 |
Path influence coefficient and significance.
| Path Coefficients | |||
|---|---|---|---|
| Intention | ← | Attitude | 0.065 ** |
| Intention | ← | Subjective norms | 0.174 *** |
| Intention | ← | Perceived behavioral control | 0.574 *** |
| Intention | ← | GP | 0.243 *** |
| Intention | ← | Attitude × GP | −0.100 *** |
| Intention | ← | Perceived behavioral control × GP | −0.034 |
| Action | ← | GC | 0.172 *** |
| Action | ← | Intention | 0.578 *** |
| Action | ← | Intention×GC | 0.083 ** |
| Intention | ← | Income | 0.106 *** |
| Intention | ← | Illness | 0.073 *** |
| Intention | ← | Olds/kids | 0.007 *** |
| Intention | ← | Gender | 0.052 |
| Intention | ← | Age | 0.101 |
| Intention | ← | Education | 0.033 |
*** p < 0.01. ** p < 0.05. ” ←” represents the direction of influence path.
Figure 2Structural model with path coefficients and levels of significance. *** p < 0.01. ** p < 0.05.
Figure 3Results of the 799 respondents’ sense of food safety in offline and online sales.
Figure 4Respondents’ perception of various benefits of organic food.
Figure 5Results of satisfaction with government regulation.
Confirmed hypotheses.
| Hypothesis | Description | Supported | Rejected |
|---|---|---|---|
| H1a | Awareness and concern about food safety will increase the willingness to consume organic food. | √ | |
| H1b | The public opinion environment of food safety and the persuasion of others will enhance the willingness to buy organic food. | √ | |
| H1c | The higher the residents’ sense of net benefits from organic food, the stronger the willingness to consume organic food. | √ | |
| H1d | Chinese residents’ willingness to buy organic food after considering various factors will form the consumption behavior of organic food. | √ | |
| H1e | Considering the “cost–benefit” factor has a greater impact on the willingness to buy organic food than other factors. | √ | |
| H2a | The higher the residents’ satisfaction with the government’s food production support work, the higher their willingness to buy organic food. | √ | |
| H2b | Residents’ satisfaction with government’s food production support work may inhibit the promotion of food safety concerns related to organic food consumption willingness. | √ | |
| H2c | Residents’ satisfaction with the government’s food production support work may weaken the driving effect of the sense of the net benefit of organic food on the willingness to consume organic food. | × | |
| H2d | Satisfaction with the government’s food consumption guarantee work will promote consumers to buy organic food. | √ | |
| H2e | Satisfaction with the government’s food consumption guarantee work will prompt consumers to turn their willingness to buy organic food into behavior. | √ | |
| H3a | The higher the income of residents, the stronger their willingness to buy organic food. | √ | |
| H3b | Having more elderly family members and children in the family will increase the willingness to buy organic food. | √ | |
| H3c | The more individuals and family members that suffer from serious chronic diseases, the stronger the willingness to buy organic food. | √ |
“√” or “×” means the hypothesis is supported or rejected in this research.