The Effects of Electricity Consumption on Electrification Access on Economic Growth in Papua Province, Indonesia
Bibliographic record
Abstract
The current research aims to analyze the influence of electricity and infrastructure on regional economy. The study empirically tested the impact of the independent constructs on electrification access and economic growth in Papua, Indonesia by using mediating role of electricity consumption. Independent variables examined in this study are electrical installations and electricity capital, while the dependent variables are measured by using labor absorption. This study specifically investigates the relationship between these variables with a cross-sectional study model, conducted at Papua Province, Indonesia with data from 2012 to 2016. The results show that electricity consumption in Papua Province is significantly influenced by electrical installation, household electricity capital and industrial electricity capital. Furthermore, electricity consumption in general affects employment. The test of the mediating variable shows the role of the consumption variable in the ratio of electrification and employment. Theoretical implication posed from the findings is about the relationship between economic growth and energy infrastructure which is more likely to attract both domestic and foreign investment in a region. The novelty of this research is to reveal the role of electrification in industrialization and employment.
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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 | 0.000 | 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".