| Literature DB >> 31905980 |
Jie Jin1, Qiuhong Zhao2,3,4, Ernesto Dr Santibanez-Gonzalez5.
Abstract
This paper studies how consumers' psychological factors influence their intentional purchasing behavior towards eco-labeled products and investigates why consumers choose eco-labeled products. Based on the Theory of Planned Behavior, we develop an extended model including six constructs. Among these constructs, consumers' intentional purchasing behavior, attitude towards the behavior, subjective norm, and perceived behavioral control are applied from the original theoretical framework. Health consciousness and environmental awareness are integrated additionally to reflect consumers' concerns about the natural environment and their health. Next, we conduct and analyze a survey-based empirical study with 336 samples using the Structural Equation Modeling. Our findings show that consumers' attitude towards the behavior is positively influenced by environmental awareness, but the effects of it on intentional purchasing behavior are insignificant. Also, subjective norm has a positive influence on intentional purchasing behavior, but its effects on attitude towards the behavior are not significant. Moreover, the results also show that the total effects of health consciousness on intentional purchasing behavior are significantly higher than the effects of environmental awareness. Our results can provide a reference for business managers to attract consumers through eco-labeling as well as government policymaking.Entities:
Keywords: eco-labeling; environmental awareness; health consciousness; structural equation modelling; theory of planned behavior
Mesh:
Year: 2019 PMID: 31905980 PMCID: PMC6981775 DOI: 10.3390/ijerph17010265
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The certification and supervision processes of CEL (Chinese Environmental Labeling).
Figure 2Conceptual Framework. SN: subjective norm. EA: environmental awareness. PBC: perceived behavioral control. HC: health consciousness. IPB: intentional purchasing behavior. ATB: attitude towards the behavior. H: hypothesis.
Measurement items of constructs.
| Construct | Measurement Item | Reference |
|---|---|---|
| Perceived Behavioral Control (PBC) | PBC1. There are many opportunities and ways in my life to buy eco-labeled products; | Giampietri et al. [ |
| PBC2. If I wanted, I could easily purchase Eco-labeled products; | ||
| PBC3. Purchasing eco-labeled products depends entirely on me. | ||
| Subjective Norm (SN) | SN1. Most people who are important to me would approve of purchasing eco-labeled products; | Giampietri et al. [ |
| SN2. Most people who are important to me want me to purchase eco-labeled products; | ||
| SN3. Most people who are important to me think I should purchase eco-labeled products instead of ordinary products. | ||
| Attitude Towards the Behavior (ATB) | ATB1. I think eco-labeling schemes are good; | Davis [ |
| ATB 2. I like eco-labeled products; | ||
| ATB3. I support the development of eco-labeling scheme. | ||
| Environmental Awareness (EA) | EA1. Humans are severely abusing the environment; | Dunlap et al. [ |
| EA2. If things continue on their present course, we will experience a major ecological catastrophe; | ||
| EA3. The balance of nature is very delicate and easily upset; | ||
| EA4. The earth is like a spaceship with very limited room and resources. | ||
| Health Consciousness (HC) | HC1. I regard myself as a health consciousness consumer; | Squires et al. [ |
| HC2. I seek to choose products that are good for my health; | ||
| HC3. I believe that I am what I eat. | ||
| Intentional Purchasing Behavior (IPB) | IPB1. I intend to purchase eco-labeled products within the near future; | Michaelidou & Hassan [ |
| IPB2. I would like to recommend eco-labeled products to my family and friends; | ||
| IPB3. How likely is it that you will purchase eco-labeled products within the next fortnight? |
Demographics of the survey respondents (N = 336).
| Characteristics | Categories | Frequency | Percent |
|---|---|---|---|
| Gender | Male | 175 | 52.1% |
| Female | 161 | 47.9% | |
| Age (in years) | 15–24 | 17 | 5.1% |
| 25–34 | 122 | 36.3% | |
| 35–44 | 87 | 25.9% | |
| 45–54 | 62 | 18.5% | |
| 55–64 | 39 | 11.6% | |
| 65–74 | 6 | 1.8% | |
| >74 | 3 | 0.9% | |
| Education | High school & lower | 46 | 13.7% |
| Bachelor | 148 | 44.0% | |
| Master’s | 120 | 35.7% | |
| Doctorate | 22 | 6.5% | |
| Income (CNY) | 0–5 K | 38 | 11.3% |
| 5–10 K | 75 | 22.3% | |
| 10 K–15 K | 174 | 51.8% | |
| >15 K | 49 | 14.6% | |
| Total | / | 336 | 100% |
Note: 100 CNY (China Yuan) ≈ 15 USD.
Statistics of construct items.
| Constructs | Items | Standardized Loadings | CR | AVE |
|---|---|---|---|---|
| SN | SN1 | 0.86 | 0.94 | 0.84 |
| SN2 | 0.97 | |||
| SN3 | 0.92 | |||
| PBC | PBC1 | 0.89 | 0.92 | 0.80 |
| PBC2 | 0.95 | |||
| PBC3 | 0.83 | |||
| ATB | ATB1 | 0.82 | 0.89 | 0.73 |
| ATB2 | 0.92 | |||
| ATB3 | 0.81 | |||
| EA | EA1 | 0.86 | 0.88 | 0.71 |
| EA2 | 0.93 | |||
| EA3 | 0.90 | |||
| EA4 | 0.72 | |||
| HC | HC1 | 0.88 | 0.91 | 0.76 |
| HC2 | 0.87 | |||
| HC3 | 0.87 | |||
| IPB | IPB1 | 0.76 | 0.78 | 0.54 |
| IPB2 | 0.74 | |||
| IPB3 | 0.71 |
Note: CR stands for composite reliability, CR = (sum of standardized regression weights)2/[(sum of standardized regression weights)2 + sum of indicator error variances]. AVE stands for average variance extracted, AVE = sum of squared standardized regression weights/(sum of squared standardized regression weights + sum of indicator error variances).
Constructs’ correlations and square roots of average variance extracted.
| Constructs | SN | PBC | ATB | EA | HC | IPB |
|---|---|---|---|---|---|---|
| SN |
| |||||
| PBC | 0.26 |
| ||||
| ATB | 0.20 | 0.47 |
| |||
| EA | 0.10 | 0.45 | 0.47 |
| ||
| HC | 0.16 | 0.49 | 0.55 | 0.52 |
| |
| IPB | 0.35 | 0.57 | 0.51 | 0.45 | 0.57 |
|
Note: Digital in bold are the square roots of AVEs of the constructs. Correlation coefficients among the six constructs are presented below the diagonal.
Hypotheses and results.
| Hypothesis | Estimate ( | Standard Error | Critical Ratio |
| Result |
|---|---|---|---|---|---|
| H1 | 0.141 | 0.064 | 2.196 | 0.028 | support |
| H2 | 0.202 | 0.075 | 2.692 | 0.007 | support |
| H3 | 0.274 | 0.065 | 4.208 | <0.001 | support |
| H4 | 0.079 | 0.056 | 1.413 | 0.158 | not supported |
| H5 | 0.196 | 0.053 | 3.707 | <0.001 | support |
| H6 | 0.187 | 0.064 | 2.918 | 0.004 | support |
| H7 | 0.097 | 0.067 | 1.456 | 0.145 | not supported |
| H8 | 0.343 | 0.069 | 5.001 | <0.001 | support |
| H9 | 0.278 | 0.069 | 4.032 | 0.001 | support |
Figure 3A Simplified Conceptual Framework.