Economic Contribution Rate Analysis of Chinese Transportation Infrastructure Construction: Based on the Input-Output Data Sheet in 2002
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Bibliographic record
Abstract
Investments on the construction of transportation infrastructure have a great effect on the national economy of any country. Infrastructure includes the transport networks such as railways, highways, and waterways. This article examines the transportation infrastructure construction contribution on both of the national product growth and the personnel employment growth in China for the year of 2002. This examination was done based on input-output method and industry correlation theory which applies the output, investment, employment multiplication in order to quantify the investments effects on the transportation infrastructure construction for the Chinese economy. The obtained results showed that the scale of transportation infrastructure construction is small at present in comparison with many others countries which will lead to lower the growth rates and productivity of the Chinese economy in the near future. This paper concludes that the Chinese government should strength the administration of macro-economy in order to exert the function of the transportation infrastructure for the economy development.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 it