A study of the factors affecting the growth in real estate investment in Malaysia / Norazlin Kamarulzaman
Bibliographic record
Abstract
Briefly, the Malaysian economy is expected to be resilient and still show significant growth while the global economy gives cause for concern on several fronts. Real estate investment refers as "real estate market" that represents a significant portion of people's wealth and becomes true for many real estate investors in Malaysia. This plays an important role in providing employment opportunities, improving income distribution, offering shelter to households and reduced poverty. However, the real estate investment in Malaysia continues to drop due to some factors that affect the sector. Malaysia had faces economic headwinds due to natural disaster and some political issues that resulted in the plunging value of ringgit. Hence, foreign investors have a lack of confidence and not much interested to invest in real estate market especially when they have to put themselves at high risk. After the implementation of Good and Services Tax (GST) in the first quarter of year 2015, it causes a slowdown in domestic consumption and lower retail sales that makes the prices increased. The study investigated factors such as GDP Growth, the influence of interest rate, inflation rates and population growth.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".