| Literature DB >> 32668635 |
Mo Li1, Taiyang Zhao2, Ershuai Huang3, Jianan Li3.
Abstract
Impulsive consumption is a typical behavior that people often present during public health emergencies, which usually leads to negative outcomes. This study investigates how public health emergencies, such as COVID-19, affect people's impulsive consumption behavior. Data from 1548 individuals in China during the COVID-19 outbreak was collected. The sample covered 297 prefecture-level cities in 31 provincial administrative regions. The research method included the use of a structural equation model to test multiple research hypotheses. The study finds that the severity of a pandemic positively affects people's impulsive consumption. Specifically, the more severe the pandemic, the more likely people are to make impulsive consumption choices. The results indicate that both perceived control and materialism play mediating roles between the severity of a pandemic and impulsive consumption. As conclusions, people's impulsive consumption during public health emergencies can be weakened either by enhancing their perceived control or by reducing their materialistic tendency. These conclusions are valuable and useful for a government's crisis response and disaster risk management.Entities:
Keywords: COVID-19; impulsive consumption; materialism; perceived control; public health emergency
Mesh:
Year: 2020 PMID: 32668635 PMCID: PMC7400470 DOI: 10.3390/ijerph17145019
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Theoretical model.
Demographic information of the sample (N = 1548).
| Items | Options | Sample | Percentage | Items | Options | Sample | Percentage |
|---|---|---|---|---|---|---|---|
| Gender | Male | 863 | 55.7% | Income per month | <3000 RMB | 546 | 35.3% |
| Female | 685 | 44.3% | 3000–6000 RMB | 777 | 50.2% | ||
| Education level | High school or below | 362 | 23.4% | 3000–10,000 RMB | 159 | 10.3% | |
| Bachelor degree | 1046 | 67.6% | >10,000 RMB | 66 | 4.3% | ||
| Master degree or above | 140 | 9% | Expense per month | <1000 RMB | 344 | 22.2% | |
| Age | <25 | 731 | 47.2% | 1000–3000 RMB | 551 | 35.6% | |
| 25–40 | 716 | 46.3% | 3000–5000 RMB | 465 | 29.5% | ||
| >40 | 101 | 6.5% | >5000 RMB | 197 | 12.7% |
Items of the variables.
| Variable | Item |
|---|---|
| Severity of the Pandemic (SE) | CNP: Cumulative Number of confirmed cases per Province. |
| NNP: Number of New confirmed cases per Province. | |
| CNC: Cumulative Number of confirmed cases per City. | |
| NNC: Number of New confirmed cases per City. | |
| Perceived Control (PC) | PC1: At the moment, I feel helpless. (R) |
| PC2: At the moment, I feel powerless. (R) | |
| PC3: At the moment, I feel like I don’t have a sense of control. (R) | |
| Materialism (MA) | MA1: I admire people who own expensive homes, cars, and clothes. |
| MA2: The things I own say a lot about how well I’m doing in life. | |
| MA3: I like to own things that impress people. | |
| MA4: Buying things gives me a lot of pleasure | |
| MA5: I like a lot of luxury in my life. | |
| MA6: I’d be happier if I could afford to buy more things. | |
| MA7: My life would be better if I owned certain things I don’t have. | |
| MA8: It sometimes bothers me quite a bit that I can’t afford to buy all the things I’d like. | |
| Impulsive Consumption (IC) | IC1: Recently, I always have the impulse to have a product immediately when I see it. |
| IC2: Recently, I always have the impulse to buy some unplanned products that I didn’t intend to buy. | |
| IC3: Recently, I have an impulse to consumption. |
Note: (R) means this item was reverse coding.
Reliability and validity of the variables (N = 1548).
| Variable Name | Item | Standardized Factor Loading | C.R. | AVE | Cronbach’s α |
|---|---|---|---|---|---|
| SE | CNP | 0.966 | 0.906 | 0.710 | 0.912 |
| NNP | 0.943 | ||||
| CNC | 0.715 | ||||
| NNC | 0.711 | ||||
| PC | PC 1 | 0.842 | 0.857 | 0.668 | 0.852 |
| PC 2 | 0.875 | ||||
| PC 3 | 0.727 | ||||
| MA | MA1 | 0.694 | 0.860 | 0.438 | 0.859 |
| MA2 | 0.625 | ||||
| MA3 | 0.734 | ||||
| MA4 | 0.619 | ||||
| MA5 | 0.647 | ||||
| MA6 | 0.758 | ||||
| MA7 | 0.674 | ||||
| MA8 | 0.510 | ||||
| IC | IC 1 | 0.758 | 0.805 | 0.579 | 0.804 |
| IC 2 | 0.793 | ||||
| IC 3 | 0.731 | ||||
| Model Fit: χ2 /df = 1.122, RMSEA = 0.009, CFI = 0.999, IFI = 0.999, TLI = 0.999 | |||||
C.R. = Composite Reliability, AVE = Average Variance Extracted, RMSEA = Root-mean-square Error of Approximation, CFI = Comparative Fit Index, IFI = Incremental Fit Index, TLI = Tucker-Lewis Index.
Discriminant validity.
| SE | PC | MA | IC | |
|---|---|---|---|---|
| SE |
| |||
| PC | −0.142 *** |
| ||
| MA | 0.138 *** | −0.338 *** |
| |
| IC | 0.110 *** | −0.309 *** | 0.437 *** |
|
Note: *** p < 0.001. The off-diagonal numbers are the correlations. AVE square roots are bolded on the diagonal.
Figure 2Descriptive statistics of impulsive consumption types.
Path analysis results (N = 1548).
| Path | Unstandardized Estimate | Standardized Estimate | S.E. | T-Value |
| ||
|---|---|---|---|---|---|---|---|
| SE | ---> | PC | −0.087 | −0.119 | 0.021 | −4.126 | 0.000 |
| PC | ---> | MA | −0.357 | −0.363 | 0.030 | −11.766 | 0.000 |
| SE | ---> | MA | 0.045 | 0.063 | 0.019 | 2.332 | 0.020 |
| MA | ---> | IC | 0.337 | 0.368 | 0.030 | 11.136 | 0.000 |
| SE | ---> | IC | 0.002 | 0.003 | 0.017 | 0.117 | 0.907 |
| PC | ---> | IC | −0.133 | −0.148 | 0.027 | −4.866 | 0.000 |
| PS | ---> | IC | 0.201 | 0.294 | 0.018 | 11.082 | 0.000 |
| Model Fit: χ2 /df = 1.129, RMSEA = 0.009, CFI = 0.999, IFI = 0.999, TLI = 0.998 | |||||||
RMSEA = Root-mean-square Error of Approximation, CFI = Comparative Fit Index, IFI = Incremental Fit Index, TLI = Tucker-Lewis Index.
Figure 3Structure equation model diagram.
The results of mediating effect. (N = 1548).
| Path | Effect | Unstandardized Estimate | Standardized Estimate | S.E. | 95% Confidence Intervals |
|---|---|---|---|---|---|
| SE ---> (PC and MA) ---> IC | Total effect | 0.039 | 0.060 | 0.029 | [0.005, 0.118] |
| Indirect effect | 0.037 | 0.057 | 0.013 | [0.032, 0.083] | |
| Direct effect | 0.002 | 0.003 | 0.027 | [−0.049, 0.056] |