The Green Consumption Behavior Process Mechanism of New Energy Vehicles Driven by Big Data—From a Metacognitive Perspective
Abstract
:1. Introduction
2. Theoretical Analysis and Development of Hypotheses
2.1. Theoretical Background
2.1.1. Theory of Green Consumption Behavior
2.1.2. Metacognitive Theory
2.2. Development of Hypotheses
2.2.1. The Impact of Psychological Control Source on Green Consumption Behavior
2.2.2. The Mediating Role of Green Consumption Attitude
2.2.3. The Regulatory Role of Metacognition in Psychological Process
3. Methodology
3.1. Research Design
3.1.1. Overall Process
3.1.2. Keyword Extraction Algorithm
3.1.3. Word-Embedding Mining Model
3.1.4. LDA Topic Extraction and Emotional Evaluation
3.2. Sample and Data Collection
3.3. Variable Setting Measurement
3.3.1. Measurement
3.3.2. Explanatory Variables, Mediating Variables, and Regulatory Variables
3.3.3. Comment Feature Variables
3.3.4. LDA Topic Extraction and Sentiment Evaluation
3.3.5. Variable Name Description
4. Empirical Analysis and Results
4.1. Descriptive Results
4.2. Robustness Checks
4.2.1. Correlation Analysis
4.2.2. Regression Results
4.3. Robustness Checks
5. Conclusion and Implications
5.1. Discussion and Conclusions
5.2. Implications
5.2.1. Implications for Organizations
5.2.2. Implications for Policy-Makers
5.2.3. Implications for Future
5.3. Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Direct effect of X on Y | Effect | SE | t | p | LLCI | ULCI |
60782.5864 | 6242.8795 | 9.7363 | 0.000 | 48,545.474 | 73,019.700 | |
Direct effect of X on Y | Effect | Boot SE | Boot LLCI | Boot ULCI | ||
−48,404.38 | 4823.117 | −57,85.018 | −38,914.664 |
Variable | Quantity Sold | GCA | |||||||
---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model6 | Model 7 | Model 8 | Model 9 | |
PCS | 5704.691 | 30,438.746 * | 36,782.899 *** | 70,450.650 *** | 0.645 *** | 0.548 *** | |||
GCA | −44,667.205 *** | −63,507.457 *** | −46,210.172 *** | −62,960.268 *** | |||||
MK | −85,761.305 *** | −70,047.426 *** | −83,361.518 *** | −62,346.090 *** | |||||
ME | 0.363 *** | 0.301 *** | |||||||
MM | 16,256.798 *** | 14,922.265 *** | −6958.152 | −7627.910 | |||||
−64,710.853 * | −84,322.323 ** | ||||||||
0.266 *** | |||||||||
117,685.927 * | 89,233.751 † | ||||||||
Price | −1115.932 *** | −1465.968 *** | −1462.923 *** | −1153.786 *** | −1144.035 *** | −1378.714 *** | −1362.611 *** | ||
Year | −14,557.459 * | −31,971.401 *** | −34,233.574 *** | −29,197.470 *** | −69,485.093 *** | −43,039.390 *** | −77,213.657 *** | ||
PSF | 72,938.033 *** | 113,705.952 *** | 108,401.551 *** | 88,508.150 *** | 95,329.415 *** | 122,525.796 *** | 121,016.511 *** | 0.047 *** | 0.071 *** |
Constant | 11,460 | 11,460 | 11,460 | 11,460 | 11,460 | 11,460 | 11,460 | 11,460 | 11,460 |
Sample Size | 248.571 | 213.763 *** | 171.943 *** | 144.263 *** | 116.720 *** | 150.393 *** | 114.365 *** | 7370.308 | 4941.689 *** |
0.042 | 0.069 | 0.070 | 0.048 | 0.048 | 0.073 | 0.074 | 0.563 | 0.564 | |
0.042 | 0.028 *** | 0.000 * | 0.006 *** | 0.001 * | 0.031 *** | 0.001 * | 0.563 | 0.001 *** |
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Theory Model Module | Implication | Keywords |
---|---|---|
Situational policy factors | The consumption environment in which individuals are engaged in consumption activities includes material and social factors. | Policy, double integral, subsidies, pilot, production access, loans, charging pile, limit line, limited purchase, right of way, acquisition tax, car, and ship tax |
Variable | Abbreviation |
---|---|
Psychological control source | PCS |
Green consumption attitude | GCA |
Metacognitive knowledge | MK |
Metacognitive experience | ME |
Metacognitive monitoring | MM |
Policy situational factors | PSF |
Theory Model Module | Implication | Keywords |
---|---|---|
Psychological control source | Intrinsic consumer motivation, including economic motivation and convenience motivation. | New energy, domestic, technology, green, future, fashion, manufacturer, electric license, promotion, concessions, save money |
Green consumption attitude | Individual subjective evaluation and the resulting behavioral tendencies. | Support, hope, approval, like, expect, wish, love, believe, favor, affirmation, satisfaction, optimism |
Metacognitive knowledge | Metacognitive knowledge is the knowledge about ‘cognition’, which explains what cognition is, including consumers’ knowledge about cognitive subjects, the nature of cognitive tasks, and cognitive strategies. | Endurance, energy consumption, appearance, interior, space, power, consumption, wind evaluation, environmental protection, energy saving, configuration, seat, mileage |
Metacognitive experience | Cognitive experience and emotional experience generated by individuals in cognitive activities. | Comfortable, relaxed, satisfied, easy convenient, happy, good-looking, excited excited, surprised, forceful, stable |
Metacognitive monitoring | To plan, control, and adjust the ongoing cognitive activities and to evaluate and manage the results and risks of cognitive activities. | Cost-effective, test drive, after-sales, insurance, rental, lottery, maintenance, development, investment, cost, security, advantage |
Variable | Median | Average | Standard Deviation | Min | Max |
---|---|---|---|---|---|
PCS | 0.256 | 0.266 | 0.164 | 0.000 | 0.852 |
GCA | 0.349 | 0.342 | 0.146 | 0.000 | 0.766 |
MK | 0.366 | 0.360 | 0.162 | 0.000 | 0.814 |
ME | 0.384 | 0.373 | 0.138 | 0.000 | 0.770 |
MM | 0.207 | 0.236 | 0.167 | 0.000 | 0.820 |
PSF | 0.151 | 0.164 | 0.114 | 0.000 | 0.807 |
Price | 16.580 | 21.520 | 17.810 | 1.900 | 1469.000 |
Year | 2021.000 | 2020.130 | 1.150 | 2014.000 | 2021.000 |
Positivity Tendency | 0.998 | 0.093 | 0.228 | 0.000 | 1.000 |
Negative Tendency | 0.002 | 0.907 | 0.228 | 0.000 | 1.000 |
Quantity Sold | 18,758.000 | 31,238.190 | 59,329.330 | 0.000 | 426,482.000 |
Variable | PCS | GCA | MK | ME | MM | PSF | Price | Year | Positivity Tendency | Negative Tendency | Quantity Sold |
---|---|---|---|---|---|---|---|---|---|---|---|
PCS | 1 | ||||||||||
GCA | 0.015 * | 1 | |||||||||
MK | −0.019 ** | 0.658 ** | 1 | ||||||||
ME | −0.061 ** | 0.277 ** | 0.273 ** | 1 | |||||||
MM | 0.017 * | −0.081 ** | 0.294 ** | 0.143 ** | 1 | ||||||
PSF | −0.017 * | 0.195 ** | 0.095 ** | −0.211 ** | −0.484 ** | 1 | |||||
Price | −0.006 | 0.173 ** | −0.111 ** | −0.108 ** | −0.178 ** | 0.246 ** | 1 | ||||
Year | −0.091 ** | −0.195 ** | 0.006 | −0.264 ** | 0.092 ** | 0.068 ** | −0.041 ** | 1 | |||
Positivity Tendency | 0.186 ** | −0.002 | 0.174 ** | 0.022 ** | 0.179 ** | −0.077 ** | −0.037 ** | 0.160 ** | 1 | ||
Negative Tendency | −0.029 ** | 0.124 ** | 0.227 ** | 0.140 ** | 0.320 ** | −0.170 ** | −0.024 ** | 0.053 ** | 0.205 ** | 1 | |
Quantity Sold | 0.029 ** | −0.124 ** | −0.227 ** | −0.140 ** | −0.320 ** | 0.170 ** | 0.024 ** | −0.053 ** | −0.205 ** | −1.000 ** | 1 |
Direct effect of X on Y | Effect | SE | t | p | LLCI | ULCI |
17,608.762 | 3172.946 | 5.550 | 0.0000 | 11,389.571 | 23,827.953 | |
Direct effect of X on Y | Effect | Boot SE | Boot LLCI | Boot ULCI | ||
−12,264.883 | 2197.798 | −16,654.986 | −8088.271 |
Variable | Quantity Sold | GCA | |||||||
---|---|---|---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | Model 9 | |
PCS | 7479.623 ** | 21,339.860 ** | 30,125.657 *** | 499,45.290 *** | 0.609 *** | 0.469 *** | |||
GCA | −24,465.333 *** | −32,864.123 *** | −34,953.644 *** | −43,420.052 *** | |||||
MK | −41,710.040 *** | −32,830.824 *** | −39,953.137 *** | −27,419.860 *** | |||||
ME | 0.370 *** | 0.277 *** | |||||||
MM | 6513.418 ** | 5873.312 * | −4207.731 † | −4414.833 † | |||||
−36,379.035 * | −50,433.865 ** | ||||||||
0.410 *** | |||||||||
52,690.179 * | 45,583.025 * | ||||||||
Price | −414.212 *** | −506.380*** | −505.539 *** | −425.123 *** | −422.585 *** | −465.436 *** | −460.986 *** | ||
Year | 10,656.793 *** | 10,984.571 *** | 10,951.092 *** | 11,277.986 *** | 11,302.453 *** | 11,580.414 *** | 11,581.010 *** | ||
PSF | −1841.376 | −10,621.610 ** | −11,769.259 *** | −7532.284 * | −24,781.234 ** | −19,018.882 *** | −35,929.867 *** | ||
Constant | −21,487,636.965 *** | −22,133,354.199 *** | −22,068,682.603 *** | −22,734,536.817 *** | −22,781,023.213 *** | −23,330,240.542 *** | −23,332,877.365 *** | 0.042 *** | 0.074 *** |
Sample Size | 22,789 | 22,789 | 22,789 | 22,789 | 22,789 | 22,789 | 22,789 | 22,789 | 22,789 |
398.197 | 295.442 *** | 247.072 *** | 256.498 *** | 214.648 *** | 224.477 *** | 176.217 *** | 14, 232.960 | 9632.080 *** | |
0.050 | 0.061 | 0.061 | 0.053 | 0.054 | 0.065 | 0.065 | 0.555 | 0.559*** | |
0.050 | 0.011 *** | 0.000 * | 0.003 *** | 0.000 * | 0.015 *** | 0.001 ** | 0.555 | 0.004 *** |
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Chen, J.; Liu, Q. The Green Consumption Behavior Process Mechanism of New Energy Vehicles Driven by Big Data—From a Metacognitive Perspective. Sustainability 2023, 15, 8391. https://doi.org/10.3390/su15108391
Chen J, Liu Q. The Green Consumption Behavior Process Mechanism of New Energy Vehicles Driven by Big Data—From a Metacognitive Perspective. Sustainability. 2023; 15(10):8391. https://doi.org/10.3390/su15108391
Chicago/Turabian StyleChen, Jingyang, and Qin Liu. 2023. "The Green Consumption Behavior Process Mechanism of New Energy Vehicles Driven by Big Data—From a Metacognitive Perspective" Sustainability 15, no. 10: 8391. https://doi.org/10.3390/su15108391