Exploring public perspectives on solar energy adoption in Mexico
Bibliographic record
Abstract
Solar energy has become increasingly vital in addressing the reduction of fossil fuel consumption, enhancing environmental responsibility, and tackling challenges such as climate change, energy poverty, and sustainable development. While technical and economic aspects have been widely studied, the role of public attitudes, awareness, and perceptions in the adoption of solar initiatives in Mexico remains a crucial yet insufficiently explored area. The objectives of this study are to assess public acceptability for implementing solar energy projects in Mexico, identify factors influencing attitudes, and propose policy recommendations to enhance community engagement. The study utilized a conceptual model and survey data from various cities in Mexico, including Hermosillo, Durango, Mexicali, Puebla, Tijuana, León, and Mexico City. Using Smart PLS software, structural equation modeling was applied to examine the relationships between latent variables. This robust approach provides statistical insights and validates hypotheses regarding public attitudes toward solar energy. The study's results highlight that younger generations and individuals with higher education levels are more inclined to support solar initiatives, underscoring the need for targeted strategies to enhance public acceptance. Key findings also emphasize the critical role of government-provided financial incentives and proactive promotion in fostering trust and encouraging widespread adoption of solar energy projects. By addressing identified barriers, the study offers actionable guidance for policymakers and stakeholders, fostering societal acceptance and advancing Mexico's transition to sustainable energy while mitigating climate change impacts. • Highlights obstacles that impede the adoption of solar energy projects in Mexico. • Examines the factors that affect public acceptance. • Younger individuals tend to be more supportive of environmental conservation initiatives. • Emphasizes participants' views on the government's vital role in offering financial incentives. • Stresses the significance of government involvement in promoting solar energy projects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".