Factors Influence the Purchase Intention of Electric Vehicles in Egypt
Bibliographic record
Abstract
The sales rate of Electric Vehicles is growing rapidly worldwide. On the contrary, EVs are not achieving the same rate of popularity in emerging markets like Egypt. Some researchers suggest that developed countries have better infrastructure, governmental frameworks, and policies to support mass adoption, other researchers claim that consumers in developed markets have higher environmental awareness that drives them to adopt cleaner transportation means. In Egypt, research investigating EVs’ unpopularity is limited. Therefore, the researchers studied the factors that influence the purchase intention of EVs in Egypt to bridge this gap and accelerate the penetration rate of EVs in the Egyptian market. This study used the TPB model to study the effect of Attitude, subjective norms, and perceived behavioral control on the purchase intention of adopting an EV in Egypt. In addition, the literature review suggested including Environmental knowledge and Governmental Policies & Support to study their effect on the intention of EVs’ adoption besides the regular TPB independent variables. The conceptual framework of this study hypothesized several relationships and for that, data was collected through a self-administered questionnaire from a sample of 113 passenger vehicle prospective buyers in Egypt. Results show that Governmental Policies & Support alone can explain 39.1% of the purchase intention of EVs in Egypt, followed by Attitude and Perceived Behavioral Control with 8.1% and 3.2% respectively. The findings highlight the importance of Governmental Policies & Support on the EVs’ adoption intention in emerging markets generally and in Egypt specifically.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".