Bridging the Green Purchasing Gap: Drivers of Willingness to Pay for Green Cosmetics Across Consumer Groups
Abstract
1. Introduction
2. Literature Review and Hypothesis
2.1. Willingness to Pay Premium
2.2. Consumer Purchase Intention
2.3. Environmental Concern
2.4. Health Consciousness
2.5. Consumer Innovativeness
2.6. The Mediating Role of Purchase Intention
2.7. The Moderating Role of Demographic Characteristics
2.8. Hypothesis Development Framework
3. Materials and Methods
4. Results
4.1. Descriptive Statistics and Respondent Characteristics
4.2. Measurement Model Evaluation
4.3. Structural Model Evaluation and Direct Effect Testing
4.4. Mediation Analysis
4.5. Moderation Analysis: Multi-Group Analysis (MGA)
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Variable | Number of Indicators | Source |
|---|---|---|
| Environmental concern | 7 | Albayrak et al. (2013) |
| Health consciousness | 5 | Sriwaranun et al. (2015) |
| Consumer innovativeness | 5 | Konuk (2018) |
| Consumer purchase intention | 5 | Paul et al. (2016) |
| Willingness to pay premium | 3 | Molinillo et al. (2019) |
| Characteristics | Category | Frequency | Percentage |
|---|---|---|---|
| Gender | Men | 188 | 21.56% |
| Women | 684 | 78.44% | |
| Age | 17–25 years old | 271 | 31.08% |
| 26–35 years old | 234 | 26.83% | |
| 36–45 years old | 299 | 34.29% | |
| >45 years old | 68 | 7.80% | |
| Employment | Student | 216 | 24.77% |
| Civil Servant | 176 | 20.18% | |
| Private Employee | 225 | 25.80% | |
| Entrepreneur | 118 | 13.53% | |
| Housewife | 79 | 9.06% | |
| Other | 58 | 6.65% | |
| Field of Science | Technological and Natural Science | 389 | 44.61% |
| Humanities and Social Sciences | 483 | 55.39% |
| Variable | Indicator | Loading | AVE | CR | CA |
|---|---|---|---|---|---|
| Environmental Concern | EC1. Protecting the environment will threaten the jobs of people like me (r). | Not valid | 0.662 | 0.907 | 0.871 |
| EC2. Laws to protect the environment limit my choices and personal freedom (r). | Not valid | ||||
| EC3. The effects of pollution on public health are worse than we realize. | 0.807 | ||||
| EC4. Environmental protection will help people have a better quality of life. | 0.841 | ||||
| EC5. Environmental protection benefits everyone. | 0.895 | ||||
| EC6. Modern development threatens wildlife. | 0.779 | ||||
| EC7. Over the next several decades, thousands of plant and animal species will become extinct. | 0.737 | ||||
| Health Consciousness | HC1. Often use cosmetics/personal care that are safe for the skin/health | 0.764 | 0.513 | 0.838 | 0.758 |
| HC2. Balance work and family/life well | 0.802 | ||||
| HC3. Often read/check quality labels before buying the latest cosmetic/personal care products | 0.769 | ||||
| HC4. Exercise regularly | 0.604 | ||||
| HC5. Avoid buying cosmetics/personal care that use artificial (synthetic) additives | 0.618 | ||||
| Consumer Innovativeness | CI1. In general, I am the first person in my circle of friends to know about the latest cosmetic/personal care products. | 0.616 | 0.533 | 0.850 | 0.779 |
| CI2. In general, I am the first person in my circle of friends to intend to buy the latest cosmetic/personal care products when they appear | 0.797 | ||||
| CI3. I would be quite interested in buying the latest cosmetic/ personal care products available in stores | 0.739 | ||||
| CI4. I would buy the latest cosmetic/personal care products, even if I have never tried them | 0.759 | ||||
| CI5. I feel the need to buy cosmetic/personal care products before anyone else does | 0.727 | ||||
| Consumer Purchase Intention | CPI1. Will consider purchasing green cosmetics and personal care products because they are less polluting in the future | 0.683 | 0.595 | 0.879 | 0.827 |
| CPI2. Will consider switching to green cosmetics and personal care products for ecological reasons | 0.822 | ||||
| CPI3. Plan to spend more on green cosmetics and personal care products than regular cosmetics | 0.844 | ||||
| CPI4. Expect to purchase green cosmetics and personal care products in the future because of their positive environmental contribution | 0.803 | ||||
| CPI5. Definitely intend to purchase green cosmetics and personal care products in the near future | 0.691 | ||||
| Willingness to Pay Premium | WTP1. Willing to pay more for green cosmetics and personal care products because of their higher production costs | 0.878 | 0.744 | 0.897 | 0.828 |
| WTP2. Paying 10 percent more for cosmetics and personal care products that are produced, processed, and packaged in an environmentally friendly way is acceptable. | 0.877 | ||||
| WTP3. Willing to spend extra money a week to buy green cosmetics and personal care products. | 0.832 |
| Construct | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1. Consumer Innovativeness | |||||
| 2. Consumer Purchase Intention | 0.705 | ||||
| 3. Environmental Concern | 0.339 | 0.689 | |||
| 4. Health Consciousness | 0.483 | 0.733 | 0.471 | ||
| 5. Willingness to Pay Premium | 0.571 | 0.731 | 0.606 | 0.632 |
| Construct | VIF |
|---|---|
| Environmental Concern → Consumer Purchase Intention | 1.242 |
| Environmental Concern → Willingness to Pay Premium | 1.608 |
| Health Consciousness → Consumer Purchase Intention | 1.329 |
| Health Consciousness → Willingness to Pay Premium | 1.561 |
| Consumer Innovativeness → Consumer Purchase Intention | 1.188 |
| Consumer Innovativeness → Willingness to Pay Premium | 1.498 |
| Consumer Purchase Intention → Willingness to Pay Premium | 2.542 |
| Variable | R-Square | R-Square Adjusted | Q-Square |
|---|---|---|---|
| Consumer purchase intention | 0.601 | 0.600 | 0.350 |
| Willingness to pay premium | 0.461 | 0.459 | 0.333 |
| Hypothesis | Path Coefficient | t-Value | p-Value | f-Square (Effect Size) | Result |
|---|---|---|---|---|---|
| H1. Environmental Concern → Consumer Purchase Intention | 0.366 | 14.650 | 0.000 | 0.275 (medium) | Supported |
| H2. Environmental Concern → Willingness to Pay Premium | 0.243 | 7.493 | 0.000 | 0.070 (small) | Supported |
| H3. Health Consciousness → Consumer Purchase Intention | 0.314 | 11.371 | 0.000 | 0.189 (medium) | Supported |
| H4. Health Consciousness → Willingness to Pay Premium | 0.178 | 4.790 | 0.000 | 0.038 (small) | Supported |
| H5. Consumer Innovativeness → Consumer Purchase Intention | 0.350 | 17.372 | 0.000 | 0.259 (medium) | Supported |
| H6. Consumer Innovativeness → Willingness to Pay Premium | 0.193 | 6.462 | 0.000 | 0.046 (small) | Supported |
| H7. Consumer Purchase Intention → Willingness to Pay Premium | 0.254 | 5.347 | 0.000 | 0.048 (small) | Supported |
| Construct | Consumer Purchase Intention | Willingness to Pay Premium | ||
|---|---|---|---|---|
| Importance | Performance | Importance | Performance | |
| Environmental Concern | 0.366 | 75.976 | 0.336 | 75.976 |
| Health Consciousness | 0.314 | 70.733 | 0.258 | 70.733 |
| Consumer Innovativeness | 0.350 | 55.533 | 0.282 | 55.533 |
| Consumer Purchase Intention | 0.254 | 72.164 | ||
| Hypothesis | Path Coefficient | t-Value | p-Value | Result |
|---|---|---|---|---|
| H8. Environmental Concern → Consumer Purchase Intention → Willingness to Pay Premium | 0.093 | 4.832 | 0.000 | Supported |
| H9. Health Consciousness → Consumer Purchase Intention → Willingness to Pay Premium | 0.080 | 4.797 | 0.000 | Supported |
| H10. Consumer Innovativeness → Consumer Purchase Intention → Willingness to Pay Premium | 0.089 | 4.885 | 0.000 | Supported |
| Construct | Correlation (c) | 5% Quantile | p-Value | Result |
|---|---|---|---|---|
| Age | ||||
| CI | 0.996 | 0.993 | 0.161 | Established |
| CPI | 1.000 | 0.999 | 0.853 | Established |
| EC | 0.999 | 0.999 | 0.033 | Established |
| HC | 0.997 | 0.996 | 0.071 | Established |
| WTP | 0.999 | 0.999 | 0.036 | Established |
| Gender | ||||
| CI | 0.930 | 0.990 | - | Established |
| CPI | 0.995 | 0.998 | - | Established |
| EC | 0.997 | 0.998 | 0.008 | Established |
| HC | 0.984 | 0.995 | - | Established |
| WTP | 0.999 | 0.998 | 0.219 | Established |
| Field of Study | ||||
| CI | 0.989 | 0.993 | 0.009 | Established |
| CPI | 0.999 | 0.999 | 0.021 | Established |
| EC | 0.997 | 0.999 | 0.001 | Established |
| HC | 0.994 | 0.996 | 0.005 | Established |
| WTP | 1.000 | 0.999 | 0.906 | Established |
| Path | Female | Male | Difference (Female−Male) | Interpretation |
|---|---|---|---|---|
| EC → CPI | 0.375 *** | 0.338 *** | 0.037 | No significant difference |
| EC → WTP | 0.395 *** | 0.635 *** | −0.240 * | Stronger for Male |
| HC → CPI | 0.341 *** | 0.217 ** | 0.124 | No significant difference |
| HC → WTP | 0.225 *** | 0.056 | 0.169 * | Stronger for Female |
| CI → CPI | 0.283 *** | 0.540 *** | −0.257 *** | Stronger for Male |
| CI → WTP | 0.070 ** | 0.346 *** | −0.275 *** | Stronger for Male |
| CPI → WTP | 0.256 *** | −0.061 | 0.317 ** | Stronger for Female |
| Path | Younger Age | Older Age | Difference (Younger–Older) | Interpretation |
|---|---|---|---|---|
| EC → CPI | 0.308 *** | 0.472 *** | −0.164 ** | Stronger for Older |
| EC → WTP | 0.198 *** | 0.385 *** | −0.187 ** | Stronger for Older |
| HC → CPI | 0.342 *** | 0.255 *** | 0.087 | No significant difference |
| HC → WTP | 0.159 ** | 0.191 *** | −0.032 | No significant difference |
| CI → CPI | 0.426 *** | 0.255 *** | 0.171 *** | Stronger for Younger |
| CI → WTP | 0.195 *** | 0.106 ** | 0.088 | No significant difference |
| CPI → WTP | 0.261 *** | 0.249 *** | 0.012 | No significant difference |
| Path | Humanities and Social Sciences | Technological and Natural Sciences | Difference (Field of Study) | Interpretation |
|---|---|---|---|---|
| EC → CPI | 0.402 *** | 0.319 *** | 0.082 | No significant difference |
| EC → WTP | 0.176 *** | 0.483 *** | −0.308 *** | Stronger for Technological & Natural Sciences |
| HC → CPI | 0.301 *** | 0.344 *** | −0.042 | No significant difference |
| HC → WTP | 0.153 *** | 0.108 | 0.045 | No significant difference |
| CI → CPI | 0.328 *** | 0.352 *** | −0.024 | No significant difference |
| CI → WTP | 0.126 *** | 0.185 *** | −0.059 | No significant difference |
| CPI → WTP | 0.423 *** | 0.087 | 0.336 *** | Stronger for Humanities & Social Sciences |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Uturestantix, U.; Warokka, A.; Aqmar, A.Z. Bridging the Green Purchasing Gap: Drivers of Willingness to Pay for Green Cosmetics Across Consumer Groups. Adm. Sci. 2026, 16, 213. https://doi.org/10.3390/admsci16050213
Uturestantix U, Warokka A, Aqmar AZ. Bridging the Green Purchasing Gap: Drivers of Willingness to Pay for Green Cosmetics Across Consumer Groups. Administrative Sciences. 2026; 16(5):213. https://doi.org/10.3390/admsci16050213
Chicago/Turabian StyleUturestantix, Uturestantix, Ari Warokka, and Aina Zatil Aqmar. 2026. "Bridging the Green Purchasing Gap: Drivers of Willingness to Pay for Green Cosmetics Across Consumer Groups" Administrative Sciences 16, no. 5: 213. https://doi.org/10.3390/admsci16050213
APA StyleUturestantix, U., Warokka, A., & Aqmar, A. Z. (2026). Bridging the Green Purchasing Gap: Drivers of Willingness to Pay for Green Cosmetics Across Consumer Groups. Administrative Sciences, 16(5), 213. https://doi.org/10.3390/admsci16050213

