Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products
Abstract
:1. Introduction
2. Theoretical Background
2.1. Sustainability in the Apparel Industry
2.2. Determinants of Sustainable Apparel Consumption
2.2.1. Shopping Values
2.2.2. Consciousness of Sustainability
2.2.3. Perceived Consumer Effectiveness (PCE)
2.2.4. Environmental Knowledge (EK)
2.2.5. Selective Criteria of Sustainable Apparel Products (SAP)
2.3. Country Differences in Sustainable Apparel Consumption
3. Methodology
3.1. Conceptual Framework
3.2. Measures
3.3. Data and Procedure
4. Results
4.1. Determinants of Behavioral Intentions toward SAP
4.2. Testing for Measurement Invariance Across Countries
4.3. Testing Hypothesis
4.3.1. Effects of Consumer Characteristics and Marketing Perspective Determinants on Behavioral Intension of SAP
4.3.2. Country Differences in Means of Shopping Values, Consciousness of Sustainability, PCE, EK, Criteria of SAP, and Behavioral Intention
4.4. The Structural Model: Country Differences
4.4.1. Cultural Differences in Effects of Consumer Characteristic Determinants (Shopping Values, Consciousness of Sustainability, PCE, EK) on SAP Behavioral Intention
4.4.2. Cultural Differences in Effects of Marketing Perspective Determinants on SAP Behavioral Intention
5. Discussion
6. Conclusions and Implication
7. Limitation and Future Research
Author Contributions
Funding
Conflicts of Interest
References
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Corporate environmentalism across cultures: A comparative field study of Chinese and Japanese executives. | Branzei, Vertinsky, Takahashi, and Zhang, (2001) [14] | Exploring the influence of national culture upon leaders’ interpretations of corporate environmentalism/China, Japan | Corporate environmental performance, the influence of national culture, environmental values, socioeconomic contexts upon firm-level greening | Perception of environmental issues differ across nations |
Explaining green purchasing behavior: A cross-cultural study on American and Chinese consumers | Chan and Lau, (2002) [76] | Examining the applicability of the Theory of Planned Behavior (TPB) to green purchasing behavior of consumers in the Chinese and U.S. | Attitude, subjective norm, and perceived behavioral control; Belief-based measures of attitude, subjective norm and perceived behavioral control | Subjective norm and perceived behavioral control were seen to exert stronger influences on Chinese consumers’ green purchasing intention than on American consumers |
A cross-cultural study of environmental motive concerns and their implications for proenvironmental behavior | Milfont, Duckitt, and Cameron, (2006) [49] | Investigating differences between European New Zealanders and Asian New Zealanders in environmental motive concerns | Three environmental motive concerns egoistic biospheric altruistic proenvironmental behavior | Asian New Zealanders were significantly higher than European New Zealanders on egoistic concern, while European New Zealanders were significantly higher on biospheric concern. |
Understanding cultural differences in the antecedents of pro-environmental behavior: A comparative analysis of business students in the United States and Chile | Cordano, M., Welcomer, Scherer, Pradenas, and Parada, (2010) [4] | Validating pro-environmental behavior using Schwartz’s (1977) norm activation theory, the TRA and a VBN model/the U. S. and Chile | Behavioral intention, attituded, norms, awareness of consequences, acceptance of responsibility, environmental beliefs, values | Chilean business students are more altruistic than business students in the US and Chilean students felt stronger pressures from their peers to engage in pro-environmental behaviors. |
Cross-country analysis of motives for sustainable Behaviors | Minton, Lee, Orth, Kim, and Kahle, (2012) [86] | Sustainable advertising necessitates research to understand better how to encourage sustainable thought and behavior effectively, especially in the understudied areas of social media/the US, Germany, South Korea | Functional, involvement motives, social media involvement antimaterialistic, recycling behavior, using green transportation, organic food purchase | For all countries, involvement motives lead to recycling behaviors and green transportation use, but only for the US and Germany do involvement motives lead to antimaterialistic views and organic food purchase |
Second-hand clothing consumption: a cross-cultural comparison between American and Chinese young consumers | Xu, Chen, Burman, and Zhao, (2014) [75] | Investigating young consumers’ behaviours towards second-hand clothing from a cross-cultural perspective/the US, China | Past purchase experience, perceived values, and concerns, perceived subjective norm and future purchase intention | Significant differences in young consumers’ second-hand clothing consumption behaviour between the two countries |
Who cares about product sustainability information at the moment of purchase? Consumer evidence from three countries | Pekkanen, Pätäri, Albadera, and Jantunen, (2018) [57] | Knowing what kind of people the sustainability information is likely to reach, and what kind of people would need to be reached by other means to green consumption/Finland, Hong Kong, Spain | Grocery purchasing choices, value, environmental concern Millennials | Values differ between the studied nationalities, but when modelling how values affect the pro-responsibility behaviour the effect of nationality vanishes. |
An examination of attributes and barriers to adopt biomass and solar technology. A cross-cultural approach | Higueras-Castillo, Munoz-Leiva, and Liébana- Cabanillas, (2019) [87] | Analyzing the favorable and unfavorable characteristics for the adoption of biomass and solar energy technology using the NEP scale/Spain, Germany, Mexico | The pro-environmental behavior, the level of anthropocentrism and ecocentrism | Mexico is most likely to adopt renewable energy systems, especially regarding solar panels, followed by Spain and, lastly, Germany |
What predicts household waste management behaviors? Culture and type of behavior as moderators | Mintz, Henn, Park, and Kurman, (2019) [88] | Examining predictors of different waste management behaviors in a cross-cultural context/Japan, Germany, Israel | Environmental orientation, social norms, waste management behaviors | Both structural contexts (i.e., recycling systems), and cultural factors predict the extent to which people engage in recycling and waste minimization |
Concern about Biodiversity as a criterion for the classification of the custainable consumer: A cross-cultural approach. | Murgado-Armenteros, Gutierrez-Salcedo, and Torres-Ruiz, (2020) [48] | Exploring a new dimension to environmental concern: biodiversity/European countries (Spain, Germany, UK, Denmark) | Consumption behavior of olive oils, level of commitment to biodiversity | Identify clusters (not concerned, passive, active and influencers), about their level of biodiversity concern, with differences between countries. |
Variable | UK (N = 256) | US (N = 230) | China (N = 225) | ||||
---|---|---|---|---|---|---|---|
Frequency | Percent | Frequency | Percent | Frequency | Percent | ||
Age | 20 | 91 | 35.5 | 84 | 36.5 | 75 | 33.3 |
30 | 88 | 34.4 | 86 | 37.4 | 75 | 33.3 | |
40 | 77 | 30.1 | 60 | 26.1 | 75 | 33.3 | |
Marital status | Married | 116 | 45.3 | 112 | 48.7 | 163 | 72.4 |
Single | 111 | 43.4 | 106 | 46.1 | 62 | 27.6 | |
Others | 29 | 11.3 | 12 | 5.2 | 0 | 0 | |
Education Level | Middle school | 1 | 0.4 | 3 | 1.3 | 1 | 0.4 |
High school | 38 | 14.8 | 28 | 12.2 | 10 | 4.4 | |
Undergraduate | 53 | 20.7 | 49 | 21.3 | 3 | 1.3 | |
Graduate | 158 | 61.7 | 142 | 61.7 | 182 | 80.9 | |
Others | 6 | 2.3 | 8 | 3.5 | 29 | 12.9 | |
Cities surveyed | London | New York, LA, Chicago | Shanghai, Beijing |
Factors and Items | UK | US | China |
---|---|---|---|
Shopping Values | |||
Social values (AVE = 0.69; CR = 0.83) | |||
I am envious of people who buy high-end brands. | 0.939 | 0.933 | 0.861 |
People who buy high-end products seem to socially succeed. | 0.891 | 0.837 | 0.892 |
People can achieve recognition when they own high-end clothes and accessories. | 0.775 | 0.760 | 0.741 |
Utilitarian values (AVE = 0.55; CR = 0.78) | |||
I consider how strong and safe products are when I choose products. | 0.810 | 0.800 | 0.814 |
I think the products’ utility is important. | 0.647 | 0.571 | 0.780 |
When I choose products, I consider products’ value to price ratio important. | 0.780 | 0.816 | 0.814 |
Differential values (AVE = 0.53; CR = 0.92) | |||
I consider whether products can express my own personality when I shop. | 0.835 | 0.713 | 0.605 |
I choose unique and differentiated products rather than general and simple ones. | 0.707 | 0.673 | 0.686 |
When I choose products, it is important that the products are new and have never been seen before. | 0.738 | 0.754 | 0.736 |
Hedonic values (AVE = 0.51; CR = 0.83) | |||
I spend much time to research in new products because I am interested. | 0.545 | 0.646 | 0.820 |
When I purchase products, I like to fully look around various stores. | 0.735 | 0.809 | 0.547 |
Shopping and looking around stores is an enjoyable pastime for me. | 0.731 | 0.701 | 0.777 |
Consciousness of Sustainability | |||
Pro-Environmentalism (AVE = 0.62; CR = 0.78) | |||
We should decide to purchase products by considering the environmental consequence. | 0.907 | 0.896 | 0.798 |
I think that we should buy eco-friendly products even though they cost a bit more. | 0.832 | 0.809 | 0.840 |
Considering environmental problems, we should cut back on buying many clothes for one season. | 0.840 | 0.877 | 0.762 |
Social Responsibility (AVE = 0.63; CR = 0.72) | |||
Sales of products made by child labor should be forbidden. | 0.649 | 0.645 | 0.777 |
Protection of laborers in companies should be government-regulated. | 0.754 | 0.646 | 0.849 |
Products that socially responsible companies offer should be marked with green consumption labels, so consumers can know this. | 0.808 | 0.823 | 0.544 |
Perceived Consumer Effectiveness (PCE) (AVE = 0.52; CR = 0.65) | |||
It can be helpful to preserve our ecosystem that one person consumes by considering animal welfares. | 0.954 | 0.903 | 0.892 |
The behavioral effort of one person can change a society. | 0.885 | 0.859 | 0.769 |
It can be helpful for solving environmental problems that one person tells others about the seriousness of environmental damage. | 0.819 | 0.844 | 0.806 |
Environmental Knowledge of Apparel (EK) (AVE = 0.79; CR = 0.68) | |||
Chemical detergents for washing apparel cause the water pollution. | 0.766 | 0.729 | 0.781 |
The manufacturing process of synthetic or manufactured fibers such as polyester can cause environmental pollution. | 0.909 | 0.845 | 0.804 |
Air pollution can occur during some common dying processes of textiles. | 0.893 | 0.868 | 0.819 |
Product Criteria of SAP | |||
Aesthetic Criteria (AVE = 0.75; CR = 0.68) | |||
Designs of this product are important to me. | 0.967 | 0.872 | 0.930 |
Colors of this product are important to me. | 0.893 | 0.887 | 0.883 |
Functional Criteria (AVE = 0.83; CR = 0.85) | |||
Function of this product such as wrinkle free, anti-soil and durability is important me. | 0.819 | 0.754 | 0.884 |
Easiness to care of this product is important to me. | 0.870 | 0.840 | 0.822 |
The quality of this product is important to me. | 0.893 | 0.887 | 0.735 |
Sustainability Criteria (AVE = 0.80; CR = 0.86) | |||
A non-harmful effect of this product on natures is important to me. | 0.913 | 0.811 | 0.804 |
Social responsibility of the company which produces this product is important to me. | 0.871 | 0.871 | 0.807 |
This product’s contribution to animal welfare is important to me. | 0.852 | 0.823 | 0.819 |
Brand Criteria (AVE = 0.71; CR = 0.73) | |||
Brand awareness of this product is important to me. | 0.935 | 0.626 | 0.732 |
Brand image of this product is important to me. | 0.879 | 0.694 | 0.670 |
Behavioral Intention to SAP (BI) (AVE = 0.76; CR = 0.82) | |||
I have an intention to use this product. | 0.977 | 0.962 | 0.915 |
I have an intention to buy this product. | 0.931 | 0.950 | 0.870 |
I have an intention to recommend this product to others. | 0.884 | 0.899 | 0.839 |
Measurement Invariance for Consumer Characteristic | Model Fit Measures | Model Differences | ||||
χ2 | df | p | RMSEA | CFI | Δχ2(Δ df) | |
Configural invariance | 1575.30 | 789 | 0.00 | 0.03 | 0.94 | - |
Metric invariance | 1619.06 | 823 | 0.00 | 0.03 | 0.93 | 43.76(34) |
Scalar invariance | 1815.49 | 913 | 0.00 | 0.03 | 0.93 | 240.19(124) *** |
Factor covariance invariance | 2251.56 | 965 | 0.00 | 0.04 | 0.90 | 457.58(176) *** |
Measurement Invariance for Marketing Perspective Factors | Model Fit Measures | Model Differences | ||||
χ2 | df | p | RMSEA | CFI | Δχ2(Δ df) | |
Configural invariance | 603.11 | 240 | 0.00 | 0.04 | 0.961 | - |
Metric invariance | 620.94 | 260 | 0.00 | 0.04 | 0.961 | 17.83(20) |
Scalar invariance | 836.74 | 290 | 0.00 | 0.05 | 0.941 | 233.63(50) *** |
Factor covariance invariance | 1085.74 | 320 | 0.00 | 0.05 | 0.917 | 482.63(80) *** |
Variables | Shopping Values | Sustainability Consciousness | PCE | EK | Product Criteria | BI | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SV | UV | DV | HV | PE | SR | AC | FC | BC | SC | ||||
SV | 1.00 | ||||||||||||
UV | 0.122 ** | 1.00 | |||||||||||
HV | 0.482 ** | 0.450 ** | 1.00 | ||||||||||
DV | 0.334 ** | 0.547 ** | 0.538 ** | 1.00 | |||||||||
PE | 0.176 ** | 0.518 ** | 0.462 ** | 0.447 ** | 1.00 | ||||||||
SR | −0.03 | 0.361 ** | 0.180 ** | 0.235 ** | 0.428 ** | 1.00 | |||||||
PCE | 0.260 ** | 0.412 ** | 0.432 ** | 0.416 ** | 0.648 ** | 0.375 ** | 1.00 | ||||||
EK | 0.113 ** | 0.427 ** | 0.330 ** | 0.390 ** | 0.575 ** | 0.462 ** | 0.590 ** | 1.00 | |||||
AC | 0.272 ** | 0.410 ** | 0.486 ** | 0.427 ** | 0.411 ** | 0.408 ** | 0.393 ** | 0.461 ** | 1.00 | ||||
FC | 0.204 ** | 0.455 ** | 0.418 ** | 0.424 ** | 0.401 ** | 0.453 ** | 0.413 ** | 0.485 ** | 0.765 ** | 1.00 | |||
SC | 0.401 ** | 0.275 ** | 0.459 ** | 0.426 ** | 0.387 ** | 0.261 ** | 0.366 ** | 0.382 ** | 0.472 ** | 0.422 ** | 1.00 | ||
BC | 0.134 ** | 0.462 ** | 0.409 ** | 0.421 ** | 0.659 ** | 0.474 ** | 0.606 ** | 0.575 ** | 0.523 ** | 0.582 ** | 0.486 ** | 1.00 | |
BI | 0.237 ** | 0.360 ** | 0.386 ** | 0.422 ** | 0.579 ** | 0.330 ** | 0.541 ** | 0.468 ** | 0.504 ** | 0.532 ** | 0.408 ** | 0.619 ** | 1.00 |
Hypothesis and Independent Variables | All Countries | ||
---|---|---|---|
β | SE | CR | |
H1: Social shopping value brand resonance e U.t the country image-brand resonance model would facilitate consumers’ | 0.04 | 0.03 | 0.94 |
H2: Utilitarian shopping value | −0.18 | 0.10 | −2.60 ** |
H3: Differential shopping value | −0.15 | 0.10 | −1.90 |
H4: Hedonic shopping value brand resonance e U.t the country image-brand resonance model would facilitate consumers’ | 0.24 | 0.10 | 2.18 ** |
H5: Pro-Environmentalism consciousness | 0.39 | 0.09 | 5.07 *** |
H6: Social responsibility consciousness | 0.13 | 0.10 | 1.06 |
H7: Perceived consumer effectiveness | 0.18 | 0.06 | 1.98 ** |
H8: Environmental knowledge | 0.07 | 0.07 | −1.26 |
H9: Aesthetic product criteria | 0.05 | 0.11 | 0.65 |
H10: Functional product criteria | 0.30 | 0.14 | 3.22 ** |
H11: Sustainability product criteria | 0.22 | 0.10 | 2.72 ** |
H12: Brand product criteria | 0.04 | 0.10 | 0.52 |
Dependent Variables | UK (N = 256) | US (N = 230) | China (N = 225) | F-Value | Total (N = 711) | |||||
---|---|---|---|---|---|---|---|---|---|---|
Mean | S.D. | Mean | S.D. | Mean | S.D. | Mean | S.D. | |||
Shopping values | Social | 3.95b | 1.72 | 4.15ab | 1.65 | 4.21a | 1.57 | 3.987 * | 4.25 | 1.61 |
Utilitarian | 5.55b | 0.85 | 5.79a | 0.89 | 5.63b | 0.99 | 6.023 * | 5.66 | 0.90 | |
Differential | 4.84c | 1.17 | 5.17a | 1.10 | 5.26a | 1.11 | 13.484 *** | 5.16 | 1.12 | |
Hedonic | 5.19b | 1.07 | 5.47a | 1.12 | 5.16b | 1.13 | 10.786 *** | 5.35 | 1.08 | |
Consciousness of sustainability | Pro-environmentalism | 5.22b | 1.16 | 5.54a | 1.16 | 5.29b | 1.16 | 4.604 * | 5.38 | 1.15 |
Social responsibility | 6.06ab | 0.97 | 5.99b | 0.92 | 6.27a | 1.70 | 4.141 * | 6.06 | 0.97 | |
Perceived consumer efficiency | 5.08b | 1.13 | 5.40a | 1.12 | 5.09b | 1.21 | 4.821 ** | 5.16 | 1.15 | |
Environmental knowledge of apparel | 5.38 | 1.00 | 5.52 | 0.99 | 5.47 | 1.09 | 1.093 | 5.47 | 1.01 | |
Product criteria of SAP | Aesthetic | 5.63b | 1.04 | 5.70ab | 1.06 | 5.98a | 1.04 | 4.268 * | 5.80 | 1.04 |
Functional | 5.75b | 0.92 | 5.96a | 0.84 | 5.94a | 1.01 | 3.984 * | 5.88 | 0.92 | |
Sustainable | 5.63b | 1.11 | 5.83ab | 0.94 | 5.85a | 0.99 | 3.314 * | 5.13 | 1.29 | |
Brand | 4.73c | 1.41 | 5.02b | 1.33 | 5.50a | 1.07 | 17.667 *** | 5.73 | 1.03 | |
Behavioral intention to SAP | 5.20b | 1.27 | 5.52a | 1.26 | 5.44a | 1.15 | 4.705 ** | 5.41 | 1.23 |
Hypothesis and Independent Variables | Country Differences (H14) | ||||||||
---|---|---|---|---|---|---|---|---|---|
UK | US | China | |||||||
β | SE | CR | β | SE | CR | β | SE | CR | |
H1: Social value brand resonance e U.t the country image-brand resonance model would facilitate consumers’ | 0.06 | 0.05 | 0.71 | 0.04 | 0.06 | 0.50 | 0.04 | 0.08 | 0.36 |
H2: Utilitarian value | 0.06 | 0.17 | 0.55 | 0.01 | 0.18 | 0.09 | 0.05 | 0.20 | 0.34 |
H3: Differential Value | 0.02 | 0.14 | 0.314 | 0.40 | 0.16 | 3.45 *** | 0.04 | 0.22 | 0.27 |
H4: Hedonic Value brand resonance e U.t the country image-brand resonance model would facilitate consumers’ | 0.49 | 0.25 | 3.10 ** | 0.14 | 0.13 | 1.37 | 0.51 | 0.26 | 2.13 * |
H5: Pro-Environmentalism | 0.61 | 0.12 | 6.47 *** | 0.30 | 0.12 | 2.94 ** | 0.14 | 0.11 | 1.26 |
H6: Social Responsibility | 0.08 | 0.13 | 1.05 | 0.12 | 0.16 | 1.23 | 0.15 | 0.17 | 1.23 |
H7: PCE | 0.03 | 0.08 | 0.49 | 0.36 | 0.14 | 2.99 ** | 0.44 | 0.11 | 3.72 |
H8: EK | 0.08 | 0.11 | 1.12 | -0.09 | 0.14 | -0.90 | 0.04 | 0.14 | 0.30 |
H9: Aesthetic Criteria | 0.06 | 0.12 | 0.61 | 0.07 | 0.22 | 0.46 | 0.06 | 0.56 | 1.25 |
H10: Functional Criteria | 0.17 | 0.17 | 1.57 | 0.14 | 0.24 | 1.21 | 0.25 | 0.69 | 1.97 * |
H11: Sustainability Criteria | 0.42 | 0.08 | 6.18 * | 0.43 | 0.16 | 3.92 *** | 0.57 | 0.21 | 2.97 |
H12: Brand Criteria | 0.17 | 0.09 | 2.17 * | 0.35 | 0.22 | 2.00 * | 0.23 | 0.16 | 1.65 |
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Jung, H.J.; Oh, K.W.; Kim, H.M. Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products. Sustainability 2021, 13, 558. https://doi.org/10.3390/su13020558
Jung HJ, Oh KW, Kim HM. Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products. Sustainability. 2021; 13(2):558. https://doi.org/10.3390/su13020558
Chicago/Turabian StyleJung, Hye Jung, Kyung Wha Oh, and HaeJung Maria Kim. 2021. "Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products" Sustainability 13, no. 2: 558. https://doi.org/10.3390/su13020558
APA StyleJung, H. J., Oh, K. W., & Kim, H. M. (2021). Country Differences in Determinants of Behavioral Intention towards Sustainable Apparel Products. Sustainability, 13(2), 558. https://doi.org/10.3390/su13020558