The Impact of Green Purchase Intention on Compensatory Consumption: The Regulatory Role of Pro-Environmental Behavior
Abstract
:1. Introduction
2. Theoretical Model and Research Hypotheses
2.1. Theory of Planning Behavior
2.2. Green Purchase Intention and Pro-Environmental Behavior
2.3. Pro-Environmental Behavior and Compensatory Consumption
2.4. Green Purchase Intention and Compensatory Consumption
2.5. The Moderating Effect of Pro-Environmental Behavior on Green Purchase Intention and Compensatory Consumption
3. Methods
3.1. Sample and Data Collection
- (1)
- Pre-survey and questionnaire improvement: The pre-survey variables do not match the formal survey variables. In the pre-survey stage, the research variables are green marketing strategies, prosocial behaviors, and compensatory consumption. The study selected green marketing strategies as the independent variable, and the compensatory consumption of consumers as the dependent variable, to study the relationship between them, and introduced prosocial behavior as a mediating variable. This pre-survey used a questionnaire survey to collect data, with consumers exposed to green marketing as the survey respondents. Through an online questionnaire survey, a total of 202 questionnaires were distributed. After deduplication and a logic review, a total of 178 valid questionnaires were collected, with an effective questionnaire rate of 88.12%, indicating the positive retrieval rate of the questionnaire.Based on the results of the pre-investigation on the reliability analysis, the α value of the green marketing attitude scale is 0.796, the α value of the compensatory consumption scale is 0.884, and the α value of the pro-social behavior scale is 0.890. The reliability test results of each variable are close to or above 0.8, demonstrating high consistency and stability, and indicating good reliability. Based on the results of the preliminary validity analysis, the KMO value for the green marketing attitude scale is 0.745, the KMO value for the compensatory consumption scale is 0.893, and the KMO value for the pro-social behavior scale is 0.886. In addition, the significance level of Bartlett’s sphericity test for the three scales is all less than 0.05, indicating that the design of the preliminary survey questionnaire is practical and the validity is good.
- (2)
- Formal investigation: The starting point of the paper involves exploring the relationship between consumer green purchase intention, pro-environmental behavior, and compensatory consumption. After the in-depth literature review, organization, and communication with the supervisor, the focus of this study has shifted from green marketing strategies to consumer green purchase intention while subdividing pro-social behavior and transforming it into a pro-environmental behavior variable. This study utilized a questionnaire survey to collect data, with ordinary consumers in society as the subjects. A total of 453 questionnaires were distributed through online surveys. After deduplication and logical review, the total of 425 valid questionnaires were collected, with an effective questionnaire ratio of 93.81%. The questionnaire retrieval rate was good, which enhanced the credibility of the experimental results in this study.
- (3)
- Distribution of samples: Among the 425 samples, males accounted for 48.2%, and females accounted for 51.8%, slightly more than the males. In terms of the age structure of the respondents, they were mainly concentrated between 21 and 40 years old, with a total of 259 within this range, accounting for 60.9%. In terms of the academic qualifications of respondents, junior college and undergraduate degrees accounted for more than 70%, reaching 76.7%. In terms of the occupation of the respondents, company staff comprised the most, 146 people, accounting for 34.4% of the total number. In the terms of respondents’ income, more than 61.4 percent had a monthly income of more than 3000 yuan (Table 1).
3.2. Variable Measures
- (1)
- The measurement of green purchasing intention: Building on Schneider’s (2001) [18] theoretical framework, this study divides the green purchasing intention variable into two dimensions: green purchasing attitude and the green purchasing inclination. Regarding the measurement of the green purchasing attitude dimension, four items on attitude were developed based on the literature by Cheung (2017) [86], Ding (2017) [87] and Ding (2018) [88]. The measurement of the green purchasing inclination dimension uses their developed four items on intention.
- (2)
- Measurement of compensatory consumption variables: Building on the theoretical foundation of Wang et al. (2023) [89], this paper divides compensatory consumption behavior into five dimensions: symbolic, enhancement, hedonic, emotion repair, and resilience. Specifically, the symbolic dimension is measured using four items, the enhancement dimension is measured using three items, the hedonic dimension is measured using three items, the emotion repair dimension is measured using three items, and the resilience dimension is measured using three items.
- (3)
4. Empirical Test and Results
4.1. Measurement Reliability and Validity
4.1.1. Measurement Reliability
4.1.2. Measurement Validity
4.2. Common Method Variance
4.3. Differentiation Analysis
4.4. Relevance Analysis
4.5. Regression Analysis
5. Discussion
5.1. The Effect of Green Purchase Intention on Pro-Environmental Behavior
5.2. The Effect of Pro-Environmental Behavior on Compensatory Consumption
5.3. The Effect of Green Purchase Intention on Compensatory Consumption
6. Conclusions
6.1. Theoretical Contributions
- (1)
- Broadening the perspective of consumer behavior research: Traditional consumer behavior research focuses on the influence of individual factors (such as demand, motivation, attitude, etc.) on consumer behavior. The study of green purchase intention and compensatory consumption extends the perspective to a broader field such as environmental protection and social responsibility. This helps us to understand the diversity and complexity of consumption behavior more comprehensively and provides a theoretical basis for formulating more scientific and reasonable consumption policies.
- (2)
- Deepening the understanding of the mechanism of pro-environmental behavior: Pro-environmental behavior not only reflects consumers’ concern and sense of responsibility for environmental protection but also may have a positive impact on subsequent compensatory consumption behavior. By exploring the influence of green purchase intention on compensatory consumption and the regulating role of pro-environment behavior in this process, we can further understand the mechanism of pro-environment behavior and reveal its internal psychological and social motivations.
- (3)
- Revealing the changing trend in consumer values: The increased willingness to buy green reflects the changing trend in consumer values; that is, from pure material pursuit to a direction that is more environmentally friendly and socially responsible. This change is not only reflected in the purchase behavior but also may affect the overall lifestyle and consumption concept of consumers. By studying the influence of green purchase intention on compensatory consumption, we can grasp the changing trend in consumer values more clearly, and provide a useful reference for the product development and market positioning of enterprises.
- (4)
- Promoting the formation and the development of green consumer market: The enhancement of green purchase intention and the popularization of pro-environment behavior are important driving forces to promote the formation and the development of green consumption market. By studying the impact of green purchase intention on compensatory consumption, we can reveal the potential demand and development, indicated by the trend in a green consumption market, and provide theoretical support and practical guidance for the government the enterprises and all sectors of society to jointly promote the development of a green consumption market.
- (5)
- Enriching the application of planned behavior theory and other related theories: The research on green purchase intention and compensatory consumption can draw on the planned behavior theory, the attitude–behavior–situation theory, and other relevant theories, and verify the applicability of these theories in the field of green consumption through empirical research, and further enrich and improve these theories. For example, the theory of planned behavior holds that behavioral intention is an important prerequisite for the occurrence of behavior, and green purchase intention, as a manifestation of behavioral intention, can indirectly promote the formation and the development of green consumption market by influencing consumers’ compensatory consumption behavior.
6.2. Practical Implications
- (1)
- Strengthening the awareness of green consumption: The first is education and publicity. Enterprises should increase their efforts to promote the concept of green consumption and communicate the importance and benefits of green consumption to consumers through various channels, such as advertising, social media, and corporate websites. The government and social organizations can also participate in creating a social atmosphere for green consumption. The second is the spread of knowledge. Improve consumer awareness of green products so that they understand the characteristics and advantages of green products. Through holding lectures, exhibitions, activities and other methods, let consumers personally experience the advantages of green products so as to enhance their green purchase willingness.
- (2)
- Optimizing the supply of green products: The first is product innovation. Enterprises should continue to develop and innovate green products, improve the environmental performance and cost performance of products, and meet the diversified needs of consumers for green products. At the same time, focus on product quality and brand image to improve consumer trust and loyalty to green products. The second is market segmentation. According to the needs of different consumer groups, market segmentation and the positioning are carried out, and green products suitable for different consumer groups are developed. For example, for young consumers, more fashionable and convenient green products can be launched; for high-income consumer groups, more high-end, high-quality green products can be launched.
- (3)
- Promoting the formation of pro-environmental behavior: The first is the incentive mechanism. Establish an effective incentive mechanism to encourage consumers to carry out green consumption. For example, consumers can obtain certain benefits and rewards when buying green products through points and discounts. In addition, green consumption awards can be set up to recognize consumers who have made outstanding contributions to green consumption. The second is social acceptance. Strengthen the guidance of public opinion and improve the social recognition of green consumption. Through media publicity, demonstrations by public figures, etc., make green consumption a fashion and trend so as to attract more consumers to participate.
- (4)
- Paying attention to changes in consumer psychology: The first is to understand consumer needs. An in-depth understanding of consumer psychological changes and demand changes, and the timely adjustment of marketing strategy and product strategy. For example, when the consumer demand for green products increases, enterprises should increase the production and sales of green products; When consumers’ doubts about certain green products increase, enterprises should actively respond and explain. The second is to improve service quality. In the process of sales and service, focus on improving the quality of service to meet the expectations and needs of consumers. Through the provision of high-quality pre-sale consultation, sales service, and after-sales service, consumers feel more satisfied and assured with the purchase and use of green products.
- (5)
- Building a green consumption ecosystem: The first is cooperation and a win–win scenario. We will promote multi-party cooperation among governments, enterprises and social organizations to jointly build a green consumption ecosystem. Through policy guidance, market regulation, social supervision and other means, the formation and the development of green consumption market can be promoted. The second is sustainable development. In the process of promoting green consumption, focus on sustainable development through energy conservation, emission reduction, resource recycling and other ways, to reduce environmental pollution and resource consumption in the production process.
6.3. Limitations and Future Research
- (1)
- First, the existing studies did not consider the setting of control variables when constructing the mediation model. Future studies can add other appropriate moderating variables as control variables when examining the mediating effects of green purchase intention, compensatory consumption and the pro-environmental behavior, so as to observe the experimental results more accurately. For example, factors such as gender and age can be considered to comprehensively consider the impact of these variables on the relationship, so as to better understand the relationship between them.
- (2)
- Second, the data samples in this paper are insufficient, and the experiment has accidental bias. Future studies need to use more repeated experiments to prove the authenticity of the conclusions. By expanding the sample size and increasing the number of repetitions of the experiment, the reliability and generalization ability of the study can be improved, so as to verify the validity of the model more accurately.
- (3)
- Third, the results only show the mediating role of pro-environmental behavior in promoting green purchase intention and inhibiting compensatory consumption and the other possible roles of pro-environmental behavior in this relationship are not fully studied. For example, the study did not delve into whether pro-environmental behaviors play a moderating role between the two.
- (4)
- Fourth, the main weakness of this article is the assumption that people have a clear idea of what is “green” and what is not. If such a clear assignment of right and wrong does not exist in individual cases, then the model is no longer valid. To solve this problem, the future research can be improved from the two aspects of questionnaire survey design and in-depth interview. In terms of the questionnaire and the survey, scholars can design scientific and reasonable questionnaires, covering consumers’ cognition, attitude, behavior and the discrimination of green consumption behavior. The questionnaire design should ensure the clarity, comprehensiveness, and objectivity of the questions, and adopt an appropriate scale or scoring system to quantify the responses of the respondents. Sending questionnaires using online or offline methods to collect sufficient sample data. In terms of in-depth interviews, scholars can select some representative respondents to conduct in-depth interviews to further understand their views on green consumption behavior, confusion, and the influencing factors in the identification process. In-depth interviews can provide more detailed and in-depth information, which is helpful in supplementing the deficiencies of the questionnaire.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Category | Classification | Sample Count (n = 425) | Percentage (%) | Category | Classification | Sample Count (n = 425) | Percentage (%) |
---|---|---|---|---|---|---|---|
Gender | Male | 205 | 48.2 | Occupation | Student | 83 | 19.5 |
Female | 220 | 51.8 | Self-employed | 76 | 17.9 | ||
Age | Below 20 | 72 | 16.9 | Company employee | 146 | 34.4 | |
21–30 | 141 | 33.2 | Freelancer | 69 | 16.2 | ||
31–40 | 118 | 27.8 | Unemployed | 51 | 12.0 | ||
Above 40 | 94 | 22.1 | Monthly income level | None | 80 | 18.8 | |
Education | Below high school | 50 | 11.8 | 0–3000 RMB | 84 | 19.8 | |
College diploma | 130 | 30.6 | 3000–6000 RMB | 109 | 25.6 | ||
Undergraduate | 196 | 46.1 | 6000–10,000 RMB | 68 | 16.0 | ||
Postgraduate and above | 49 | 11.5 | Above 10,000 RMB | 84 | 19.8 |
Variable | Item | Number | |
---|---|---|---|
Green Purchase Intention | Green Purchase Attitude (TD) | 1. Buying green products/services to protect the environment is a wise choice | TD1 |
2. I support buying green products/services | TD2 | ||
3. Buying green products/services will not make me feel worse | TD3 | ||
4. Buying green products/services will not bring me any harm | TD4 | ||
5. I think buying green products/services is a good idea | TD5 | ||
Green Purchase Inclination (QX) | 1. I am willing to buy green products/services | QX1 | |
2. I plan to buy green products/services from now on | QX2 | ||
3. I plan to buy green products/services in the future | QX3 | ||
4. I am willing to pay more cash for green products/services | QX4 | ||
5. The proportion of green products/services consumption in my future expenses will increase | QX5 | ||
Compensatory Consumption | Symbolic (XZ) | 1. I usually buy green products/services to enhance positive evaluations from others | XZ1 |
2. I am willing to buy green products/services if they can enhance my interpersonal attractiveness | XZ2 | ||
3. I usually buy green products/services that reflect my environmental image | XZ3 | ||
4. Green products/services that reflect environmental protection usually increase my purchasing interest | XZ4 | ||
Elevating (TS) | 1. I am willing to buy green products/services if they can enhance my personality charm | TS1 | |
2. I am willing to buy green products/services if they can enhance my social value | TS2 | ||
3. I am willing to buy green products/services if they can improve my moral quality | TS3 | ||
Hedonic (XL) | 1. I will buy green products/services to increase topics and enhance relationships with friends and family | XL1 | |
2. I will buy green products/services to celebrate important moments | XL2 | ||
3. I will buy green products/services to gain new experiences | XL3 | ||
Emotion Repair (XF) | 1. Buying and experiencing green products/services can repair my mood when I am not feeling well | XF1 | |
2. Buying and using green products/services can uplift my mood | XF2 | ||
3. Buying and using green products/services can release my negative emotions | XF3 | ||
Resilience (KN) | 1. If the ideal self is very environmentally friendly and does not match the real self, I will reduce discomfort by buying green products/services | KN1 | |
2. If others focus on environmental protection, I will buy green products/services to reduce threats to their identity | KN2 | ||
3. If green products/services can help reduce my worries about environmental damage, then I am willing to buy them | KN3 | ||
Pro-environmental Behavior (QHJ) | 1. Publicly expressing support for environmental protection (such as speeches, essays, etc.) | QHJ1 | |
2. Discussing environmental issues with others | QHJ2 | ||
3. Reusing plastic bags | QHJ3 | ||
4. Actively participating in activities organized by schools or environmental organizations | QHJ4 | ||
5. Bringing reusable shopping bags when purchasing daily necessities | QHJ5 | ||
6. Actively participating in various forms of environmental awareness and education activities | QHJ6 | ||
7. Actively following environmental issues or conservation information reported in the media | QHJ7 | ||
8. Turning off lights or fans when leaving the room if no one is there | QHJ8 | ||
9. Accumulating empty beverage bottles, wine bottles, etc., and then selling them | QHJ9 | ||
10. Advising others to stop environmental damage behaviors (such as littering, discharging sewage, etc.) | QHJ10 | ||
11. Reusing the other side of waste paper or printing paper | QHJ11 |
Variable | Cronbach’s Alpha of the Subscales | Dimension | Items | Cronbach’s Alpha After Deletion | Cronbach’s Alpha of Subscales |
---|---|---|---|---|---|
Willingness to Purchase Green Products | 0.855 | Attitude towards Green Purchases | TD1 | 0.840 | 0.880 |
TD2 | 0.844 | ||||
TD3 | 0.840 | ||||
TD4 | 0.838 | ||||
TD5 | 0.844 | ||||
Green Purchasing Intention | QX1 | 0.844 | 0.880 | ||
QX2 | 0.842 | ||||
QX3 | 0.843 | ||||
QX4 | 0.839 | ||||
QX5 | 0.841 | ||||
Compensatory Consumption | 0.858 | Symbolic | XZ1 | 0.850 | 0.838 |
XZ2 | 0.849 | ||||
XZ3 | 0.852 | ||||
XZ4 | 0.852 | ||||
Enhancement | TS1 | 0.850 | 0.813 | ||
TS2 | 0.850 | ||||
TS3 | 0.851 | ||||
Hedonic | XL1 | 0.852 | 0.809 | ||
XL2 | 0.852 | ||||
XL3 | 0.851 | ||||
Emotion Repair | XF1 | 0.848 | 0.826 | ||
XF2 | 0.847 | ||||
XF3 | 0.847 | ||||
Resilience | KN1 | 0.850 | 0.812 | ||
KN2 | 0.854 | ||||
KN3 | 0.852 | ||||
Pro-Environmental Behavior | 0.938 | Pro-Environmental Behavior | QHJ1 | 0.879 | 0.938 |
QHJ2 | 0.879 | ||||
QHJ3 | 0.883 | ||||
QHJ4 | 0.882 | ||||
QHJ5 | 0.884 | ||||
QHJ6 | 0.881 | ||||
QHJ7 | 0.880 | ||||
QHJ8 | 0.879 | ||||
QHJ9 | 0.880 | ||||
QHJ10 | 0.877 | ||||
QHJ11 | 0.875 |
Variable | KMO Value | Bartlett Sphericity Test Significance |
---|---|---|
Green purchasing intention | 0.889 | <0.05 |
Compensatory consumption | 0.838 | <0.05 |
Pro-environmental behavior | 0.964 | <0.05 |
Variable | Gender | n | M ± SD | t | Significance p | ||||
---|---|---|---|---|---|---|---|---|---|
Gender | Age | Education | Occupation | Income | |||||
Green purchasing intention (GPI) | Male | 205 | 3.70 ± 0.79 | 0.938 | 0.349 | 0.954 | 0.954 | 0.611 | 0.945 |
Female | 220 | 3.63 ± 0.88 | |||||||
Green purchasing attitude (TD) | Male | 205 | 3.69 ± 1.02 | 1.050 | 0.294 | 0.796 | 0.577 | 0.812 | 0.370 |
Female | 220 | 3.58 ± 1.07 | |||||||
Green purchasing tendency (GPT) | Male | 205 | 3.72 ± 1.01 | 0.451 | 0.652 | 0.398 | 0.785 | 0.641 | 0.798 |
Female | 220 | 3.68 ± 1.06 | |||||||
Compensatory consumption (CC) | Male | 205 | 3.72 ± 0.67 | −0.507 | 0.613 | 0.149 | 0.922 | 0.129 | 0.663 |
Female | 220 | 3.75 ± 0.71 | |||||||
Symbolic | Male | 205 | 3.74 ± 1.02 | −1.381 | 0.168 | 0.294 | 0.962 | 0.396 | 0.366 |
Female | 220 | 3.87 ± 0.94 | |||||||
Enhancement | Male | 205 | 3.93 ± 0.89 | 1.258 | 0.209 | 0.468 | 0.968 | 0.177 | 0.850 |
Female | 220 | 3.81 ± 1.09 | |||||||
Hedonism | Male | 205 | 3.73 ± 1.04 | −0.430 | 0.667 | 0.609 | 0.906 | 0.976 | 0.979 |
Female | 220 | 3.78 ± 1.00 | |||||||
Restoration | Male | 205 | 3.57 ± 1.05 | −0.410 | 0.682 | 0.496 | 0.905 | 0.094 | 0.647 |
Female | 220 | 3.61 ± 1.12 | |||||||
Resilience | Male | 205 | 3.60 ± 1.08 | −0.387 | 0.699 | 0.016 | 0.408 | 0.131 | 0.385 |
Female | 220 | 3.65 ± 1.08 | |||||||
Pro-environmental behavior (PEB) | Male | 205 | 3.64 ± 1.00 | −0.786 | 0.432 | 0.006 | 0.146 | 0.366 | 0.254 |
Female | 220 | 3.71 ± 0.97 |
GPI | TD | QX | CC | XZ | TS | XL | XF | KN | PEB | |
---|---|---|---|---|---|---|---|---|---|---|
GPI | 1 | |||||||||
TD | 0.803 ** | 1 | ||||||||
QX | 0.800 ** | 0.284 ** | 1 | |||||||
CC | 0.566 ** | 0.486 ** | 0.421 ** | 1 | ||||||
XZ | 0.341 ** | 0.268 ** | 0.278 ** | 0.683 ** | 1 | |||||
TS | 0.370 ** | 0.336 ** | 0.256 ** | 0.662 ** | 0.304 ** | 1 | ||||
XL | 0.393 ** | 0.347 ** | 0.282 ** | 0.638 ** | 0.269 ** | 0.285 ** | 1 | |||
XF | 0.474 ** | 0.397 ** | 0.362 ** | 0.721 ** | 0.359 ** | 0.337 ** | 0.389 ** | 1 | ||
KN | 0.324 ** | 0.292 ** | 0.227 ** | 0.635 ** | 0.216 ** | 0.354 ** | 0.249 ** | 0.335 ** | 1 | |
PEB | 0.312 ** | 0.260 ** | 0.240 ** | 0.567 ** | 0.190 ** | 0.301 ** | 0.244 ** | 0.310 ** | 0.881 ** | 1 |
Unstandardized Coefficients | Standardized Coefficients Beta | Collinearity Statistics | |||||
---|---|---|---|---|---|---|---|
Model | B | Standard Error | t | Significance | Tolerance | VIF | |
(Constant) | 2.336 | 0.204 | 0.209 | 11.476 | 0.000 | 0.919 | 1.088 |
Green Purchase Attitude | 0.195 | 0.045 | 4.329 | 0.000 | |||
Green Purchase Intention | 0.170 | 0.045 | 0.181 | 3.751 | 0.000 | 0.919 | 1.088 |
R2 | 0.098 | ||||||
Adjusted R2 | 0.094 | ||||||
F | 22.871 | ||||||
p | <0.001 |
Unstandardized Coefficients | Standardized Coefficients Beta | Collinearity Statistics | |||||
---|---|---|---|---|---|---|---|
Model | B | Standard Error | t | Significance | Model | B | |
(Constant) | 2.268 | 0.107 | 0.567 | 21.186 | 0.000 | 1.000 | 1.000 |
Pro-environmental behavior | 0.399 | 0.028 | 14.166 | 0.000 | |||
R2 | 0.322 | ||||||
Adjusted R2 | 0.320 | ||||||
F | 200.689 | ||||||
p | <0.001 |
Unstandardized Coefficients | Standardized Coefficients Beta | Collinearity Statistics | |||||
---|---|---|---|---|---|---|---|
Model | B | Standard Error | t | Significance | Model | B | |
(Constant) | 2.029 | 0.124 | 0.399 | 16.374 | 0.000 | 0.919 | 1.088 |
Green Purchase Attitude | 0.262 | 0.027 | 9.545 | 0.000 | |||
Green Purchase Intentions | 0.203 | 0.028 | 0.307 | 7.351 | 0.000 | 0.919 | 1.088 |
R2 | 0.323 | ||||||
Adjusted R2 | 0.320 | ||||||
F | 100.675 | ||||||
p | <0.001 |
Effect | se | t | p | LLCI | ULCI | |
---|---|---|---|---|---|---|
Total effect | 0.4657 | 0.033 | 14.1152 | 0 | 0.4009 | 0.5306 |
Direct effect | 0.3545 | 0.0301 | 11.7603 | 0 | 0.2952 | 0.4137 |
Indirect effect | ||||||
Effect | Boot SE | Boot LLCI | Boot ULCI | |||
0.1112 | 0.017 | 0.078 | 0.1453 |
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Chen, C.; Li, D.; Qian, J.; Li, Z. The Impact of Green Purchase Intention on Compensatory Consumption: The Regulatory Role of Pro-Environmental Behavior. Sustainability 2024, 16, 8183. https://doi.org/10.3390/su16188183
Chen C, Li D, Qian J, Li Z. The Impact of Green Purchase Intention on Compensatory Consumption: The Regulatory Role of Pro-Environmental Behavior. Sustainability. 2024; 16(18):8183. https://doi.org/10.3390/su16188183
Chicago/Turabian StyleChen, Chao, Desheng Li, Jingjing Qian, and Ziying Li. 2024. "The Impact of Green Purchase Intention on Compensatory Consumption: The Regulatory Role of Pro-Environmental Behavior" Sustainability 16, no. 18: 8183. https://doi.org/10.3390/su16188183
APA StyleChen, C., Li, D., Qian, J., & Li, Z. (2024). The Impact of Green Purchase Intention on Compensatory Consumption: The Regulatory Role of Pro-Environmental Behavior. Sustainability, 16(18), 8183. https://doi.org/10.3390/su16188183