Analysis of Factors Influencing Green Consumption Behaviour, A Comparison of Pakistani and Canadian Consumers
Bibliographic record
Abstract
Rapid economic growth and technological innovations have fostered exploitation of natural resources, over consumption and environmental deterioration. Differences in knowledge, cultural aspects, social values and awareness among customers of developed and developing countries may have differential impact on their green consumption patterns. This study was aimed at comparing factors that influence consumption of green energy products within Pakistani and Canadian consumers. Quantitative methods were used to get data from consumers about how social values, environmental concern, functional value and long term orientation impact green energy product consumption within consumers of Canada and Pakistan. From each country, sample of 250 consumers was selected by applying convenience sampling technique. It was concluded that environmental concerns, social values, long term orientation and functional values have significant impact on green energy consumption within both countries. Functional values had highest impact on green energy consumption within Pakistani consumers. However, results revealed that environmental concerns and long term orientation have high influence on green energy consumption within Canadian consumers as compared to those in Pakistan. However, green advertisements had high moderating role to influence green product consumption within Canadian consumers as compared with those in Pakistan. It is proposed that policy makers and practitioners within Pakistan need to emphasise on creating awareness about long term planning and environmental concerns for boosting green energy adoption by consumers. Keywords : Sustainability, green energy products, green marketing, sustainable consumption
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".