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Record W4415899733 · doi:10.24311/jabes/2024.35.3.8

Evaluating the impact of floods on changes in residential choice behavior in Ho Chi Minh City

2024· article· W4415899733 on OpenAlexaboutno aff
Nguyen Thi Phuong Hong

Bibliographic record

VenueJournal of Asian Business and Economic Studies · 2024
Typearticle
Language
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsFlooding (psychology)Quarter (Canadian coin)Ho chi minhFlood mythSurvey data collection

Abstract

fetched live from OpenAlex

The impact of flooding varies among different demographic groups, hence, measuring the effects of flooding on these groups is crucial. The objective is to assess the impact of flooding on various demographic groups, such as poorer/wealthier individuals, those who have/have not lived in flood-prone areas, and differences in their choices of new housing. Utilizing survey data from individual home buyers in Ho Chi Minh City from the third quarter of 2017 to the end of the second quarter of 2018, this study found that overall, flooding significantly negatively affects housing prices. Particularly, the price reduction does not differ significantly among buyer groups, thus attracting those with limited financial resources, as the houses they purchase tend to have lower prices, resulting in a higher proportion of price reduction. This attracts them to higher flood-risk areas. However, for buyers who have previously lived in flood-prone areas, despite financial constraints, they tend to purchase new homes in non-flooded areas. This suggests a trend where residents undervalue the impact of flooding due to a lack of information.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.071
GPT teacher head0.392
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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