How Can the Government Effectively Promote Consumers’ Green Purchasing Behavior?—Based on the Diffusion Study of New Energy Vehicles in China
Abstract
:1. Introduction
2. Literature Review
2.1. Macro-Level Effects of Government Subsidies
2.2. Micro-Level Effects of Government Subsidies
3. Theoretical Foundations
3.1. Innovation Diffusion Theory
3.2. Stimulus Organism Response Theory
4. Methods and Materials
4.1. Data Collection
4.2. Open Coding
4.3. Principal Axis Coding
4.4. Selective Coding
5. Research Hypotheses
5.1. The Influence of Government Subsidies on Consumers’ Willingness to Buy
5.2. Impact of Government Subsidies on Perceived Costs, Perceived Risks and Social Confidence
5.3. Mediating Role of Perceived Cost, Perceived Risk and Social Confidence
5.4. The Regulating Effect of the Degree of Perfection of Facilities
6. Research Design
6.1. Research Methodology
6.2. Empirical Analysis and Discussion of Results
- (1)
- Reliability analysis
- (2)
- Analysis of independent variables on purchase intention
- (3)
- Analysis of independent variables on mediating variables
- (4)
- Mediating effect test
6.3. Research Conclusions
7. Conclusions and Discussion
7.1. Theoretical Implications
7.2. Practical Implications
7.3. Limitations and Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Serial Number | Initial Scope | Concept Extraction | Commentary Statements |
---|---|---|---|
AA1 | Product Risk | Durability Issues | A01: Green energy vehicles, as emerging products, are still in the development stage, and whether they can withstand prolonged use is still a mystery. |
Range | A04: Green energy vehicles don’t have as far a range as fuel cars. | ||
AA2 | Security Risks | Intelligent Driving Safety System | A01: Green energy vehicles are often equipped with intelligent assisted driving systems, and miscalculations or malfunctions in these systems can lead to accidents. |
Charging Safety | A07: It’s more of a concern if the battery will explode if you charge it for a long period of time. | ||
AA3 | Completeness of Supporting Facilities | Number of Charging Piles | A11: The infrastructure for green energy vehicles is not well developed and charging is a real hassle. |
Charging Pile Construction | A04: First, there’s the issue of charging posts, which are difficult to charge since we don’t have any in our neighborhood. | ||
AA4 | Purchase Cost | Price | A05: It was for 116,800 + 1000 licensing + 5555 insurance with a $4000 coupon, for a total of just under $120,000. |
AA5 | Cost of Use | Charging Cost | A09: It is very convenient to go back and forth from home on vacation, and the fuel cost is greatly reduced, much better than riding an electric car. |
AA6 | Trend | Government Attention | A03: I think that with government subsidies, green energy vehicles will become the future trend and trend; green energy vehicles will be more and more liked and valued by everyone. |
AA7 | Popularization | Convenience | A07: It feels like green energy vehicles are the way of the future, and they do save money, and it’s really a lot easier to go out. A10: There were a lot of teachers who bought trams, and in the end, considering that trams were expected to become the mainstream in the future, they chose trams. |
Serial Number | Initial Scope | Concept Extraction | Scope Implications |
---|---|---|---|
a1 | Perceived Cost | Purchase Costs | The cost of purchasing a green energy vehicle and the cost of energy consumption and repair and maintenance during the use of the green energy. |
Cost of Use | |||
a2 | Perceived Risk | Product Risks | Consumers have certain risk assessments of green energy vehicles in terms of power, range, braking, balance, safety and other performance. |
Safety Risks | |||
a3 | Social Confidence | Trends | Consumers have certain risk assessments of green energy vehicles in terms of power, range, braking, balance, safety and other performance. |
Popularity | |||
a4 | Amenity Improvement | Improvement of Supporting Facilities | Based on the “dual-carbon” goal, green energy vehicles have become the trend of the future, and green products are supported by the state and the people. |
Factor | Measure Term | Measurement Item Content | Literature |
---|---|---|---|
Perceived Cost | C1 | I usually think that green energy vehicles have a higher acquisition cost | Wu [62] |
C2 | I usually think that the usage cost of green energy vehicles is higher. | ||
C3 | I usually think that the depreciation of green energy vehicles is higher. | ||
Perceived Risk | R1 | I usually think that green energy vehicles have higher product risks than traditional fuel vehicles. | Dan [63] |
R2 | I usually think that the safety risks of green energy vehicles are higher than those of traditional fuel vehicles. | ||
R3 | I usually think that the overall risk of green energy vehicles is high. | ||
Social Confidence | Q1 | I feel unbalanced without government subsidies. | Yan Zhang [64] |
Q2 | I am more confident that green energy vehicles are environmentally friendly. | ||
Q3 | I have more confidence in the continuous innovation of green energy vehicles. | ||
Q4 | I am more confident in the government’s ability to promote the development of green energy vehicles. | ||
Q5 | I have a high level of trust in the government. | ||
Purchase Intention | S1 | I would consider purchasing a green energy vehicle if necessary. | Dodds [65] |
S2 | I plan to buy a green energy vehicle in the near future. | ||
S3 | I am likely to buy a green energy vehicle. |
Variables | Topic Items | Standardized Alpha Based |
---|---|---|
Perceived Cost | 3 | 0.707 |
Perceived Risk | 3 | 0.809 |
Social Confidence | 5 | 0.728 |
Willingness to Buy | 3 | 0.872 |
Overall Reliability of the Questionnaire | 14 | 0.803 |
Between-Subject Effect Test | ||||
---|---|---|---|---|
Dependent Variable: Purchase Intention | ||||
Independent Variable | Degree of Freedom | Mean Square | F | Significance |
Government Subsidies | 1 | 79.434 | 189.732 | 0.000 |
Degree of Facility Improvement | 1 | 27.001 | 64.492 | 0.000 |
Government Subsidies * Degree of Facility Improvement (interaction) | 1 | 5.894 | 14.078 | 0.000 |
R-square = 0.587 (adjusted R-square = 0.581) |
Tests for Between-Subject Effects | |||||
---|---|---|---|---|---|
Variable | Dependent Variable | Degree of Freedom | Mean Square | F | Significance |
Government Subsidies | Perceived Costs | 1 | 21.742 | 24.05 | 0 |
Perceived Risk | 1 | 74.845 | 112.15 | 0 | |
Social Confidence | 1 | 23.68 | 26.374 | 0 |
Tests for Between-Subject Effects | |||||
---|---|---|---|---|---|
Variable | Dependent Variable | Degree of Freedom | Mean Square | F | Significance |
Degree of Sophistication of Facilities | Perceived Costs | 1 | 66.168 | 93.662 | 0 |
Perceived Risk | 1 | 31.403 | 36.386 | 0 | |
Social Confidence | 1 | 5.323 | 5.429 | 0.021 |
Model | Standardized Coefficient Beta | t | Significance | R2 | Adjusted R2 | |
---|---|---|---|---|---|---|
1 | (Constant) | 0 | 1 | 0.444 | 0.442 | |
Degree of Government Subsidies and Supporting Facilities | 0.667 | 13.325 | 0 | |||
2 | (Constant) | 0.023 | 0.982 | 0.456 | 0.451 | |
Degree of Government Subsidies and Supporting Facilities | 0.631 | 12.08 | 0 | |||
Perceived cost | −0.115 | −2.193 | 0.029 | |||
Dependent Variable: Purchase Intention |
Model | Standardized Coefficient Beta | t | Significance | R2 | Adjusted R2 | |
---|---|---|---|---|---|---|
1 | (Constant) | 0 | 1 | 0.561 | 0.557 | |
Degree of Sophistication of Facilities | 0.35 | 7.642 | 0 | |||
Government Subsidies | 0.589 | 12.878 | 0 | |||
2 | (Constant) | 0 | 1 | 0.573 | 0.567 | |
Degree of Sophistication of Facilities | 0.279 | 5.265 | 0 | |||
Government Subsidies | 0.512 | 9.375 | 0 | |||
Perceived Risk | −0.161 | −2.533 | 0.012 | |||
Dependent Variable: Purchase Intention |
Model | Standardized Coefficient Beta | t | Significance | R2 | Adjusted R2 | |
---|---|---|---|---|---|---|
1 | (Constant) | 0 | 1 | 0.561 | 0.557 | |
Degree of Sophistication of Facilities | 0.35 | 7.642 | 0 | |||
Government Subsidies | 0.589 | 12.878 | 0 | |||
2 | (Constant) | 0 | 1 | 0.619 | 0.614 | |
Degree of Sophistication of Facilities | 0.327 | 7.642 | 0 | |||
Government Subsidies | 0.51 | 11.394 | 0 | |||
Perceived Risk | 0.258 | 5.838 | 0 | |||
Dependent Variable: Purchase Intention |
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Share and Cite
Li, Z.; Cui, R.; Shen, Z. How Can the Government Effectively Promote Consumers’ Green Purchasing Behavior?—Based on the Diffusion Study of New Energy Vehicles in China. World Electr. Veh. J. 2024, 15, 437. https://doi.org/10.3390/wevj15100437
Li Z, Cui R, Shen Z. How Can the Government Effectively Promote Consumers’ Green Purchasing Behavior?—Based on the Diffusion Study of New Energy Vehicles in China. World Electric Vehicle Journal. 2024; 15(10):437. https://doi.org/10.3390/wevj15100437
Chicago/Turabian StyleLi, Zhihui, Ruyi Cui, and Zhifeng Shen. 2024. "How Can the Government Effectively Promote Consumers’ Green Purchasing Behavior?—Based on the Diffusion Study of New Energy Vehicles in China" World Electric Vehicle Journal 15, no. 10: 437. https://doi.org/10.3390/wevj15100437
APA StyleLi, Z., Cui, R., & Shen, Z. (2024). How Can the Government Effectively Promote Consumers’ Green Purchasing Behavior?—Based on the Diffusion Study of New Energy Vehicles in China. World Electric Vehicle Journal, 15(10), 437. https://doi.org/10.3390/wevj15100437