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RENT AS A PROSPECTIVE SEGMENT OF THE RESIDENTIAL REAL ESTATE MARKET: EXPERIENCE OF FOREIGN COUNTRIES

2021· article· en· W3188693094 on OpenAlexaboutno aff
Natalia Tafiy, Daniil Bastrakov

Bibliographic record

VenueProceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsRentingLeaseReal estateBusinessLegislatureLandlordMarket economyFinanceEconomicsLawPolitical science

Abstract

fetched live from OpenAlex

The article considers the problems of formation and development of the rented housing segment in foreign countries. The impact of changing consumers generations on the residential real estate market, which have other formats of consumer behavior, a different lifestyle, an approach to planning the structure and directions of consumer spending, other plans for the future. It is noted that in almost all countries there are laws that protect the rights of tenants, and an effective judicial system guarantees the protection of landlords' rights. The experience of foreign countries and their regions in the regulation of the rental housing segment is analyzed: USA, Canada, Germany, France, Spain, Great Britain, Japan. Based on the analysis of international experience, it is concluded that in most countries the law regulates the organizational and legal aspects of rental relations, the legislative level also sets minimum standards and quality characteristics of rental housing, which are often the responsibility of regional authorities. state, province or land. It is emphasized that there is an objective need to regulate the residential real estate market development, including in the rental segment, at the national, regional and local levels. It is noted that local governments of Ukraine should pay attention to this segment in the direction of developing "Regional standards of long-term lease", which will regulate relations, share responsibilities, responsibilities and rights, reconcile the interests of the tenant and the landlord.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.019
Scholarly communication0.0000.001
Open science0.0020.001
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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.

Study designQualitative
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

Citations1
Published2021
Admission routes1
Has abstractyes

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