Implications of COVID–19 Outbreak on the Construction and Property Development Sector in the South-East Nigeria
Bibliographic record
Abstract
Pandemic like Covid-19 usually affects the productivity of man, let alone when there is a consequent total lock-down effect in the society. Construction and property development sector among others therefore is bound to suffer enormously since it involves the services of variety of labour force. The study therefore explores the implication and consequences of the Covid-19 outbreak on the construction and property development sector in the south eastern region of Nigeria. Data were collected electronically using field survey method of research design from the sampled respondents of building professionals in the area. Tau-b correlation method was adopted in the statistical analyses to determine the most commonly observed Covid-19 measures, most common vulnerable factors leading to spread and contraction of the pandemic in the study. Findings reveal that majority of the establishment in the area shutdown their operations according to the directive of the government; while about the three quarter of these establishments who were in active operations are observed as public owned corporations or projects. It is also discovered that hand washing, wearing of face mask and social distancing were mostly complied with. On the other hand, economic hardship, inflation, and difficulty in accessibility to fund noticeably affect the flow and progress of work projects. Despite the considerable compliance with the preventive measures, there is no significant relationship between conformity to social distancing and shut-down policy, and the volume of construction works in progress during the shut-down in the study area. In conclusion therefore, it is recommended that shut-down of economic activities should not be total but, in part and alternate form among the various sections of the economic activities within the society. Attention to the operations of the private construction and property development projects like in the and the public structure is also recommended for a more holistic arrangement, towards cushioning the effect of similar economic crisis occasioned by any pandemic like Covid-19 in general.
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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 | 0.009 | 0.003 |
| 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) | 0.000 | 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".