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Record W4405303321 · doi:10.25683/volbi.2019.49.444

ПЕРСПЕКТИВЫ РАЗВИТИЯ ТОРГОВЫХ ЦЕНТРОВ В РОССИЙСКОЙ ФЕДЕРАЦИИ

2019· article· ru· W4405303321 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueБизнес, образование, право · 2019
Typearticle
Languageru
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Distribution (mathematics)Christian ministryGross domestic productPopulationExternal tradeProduct (mathematics)Russian federationBusinessRetail tradeEconomicsEconomyGeographyInternational tradeRegional scienceEconomic growthCommercePolitical science

Abstract

fetched live from OpenAlex

Статья посвящена анализу основных тенденций и перспектив развития торговых центров в Российской Федерации. Рассмотрено изменение структуры валового внутреннего продукта за последние пять лет и место торговли в общем объеме ВВП, показана динамика снижения доли данной сферы экономики и выявлены факторы, влияющие на количественные и качественные изменения макроэкономических показателей. Проведен анализ оперативных данных Росстата за I квартал текущего года. Отмечены причины сокращения производительности труда в секторе розничной торговли за последние пять лет. Показано снижение доли рыночных продаж в пользу торговых организаций за последние десять лет, а также изменения, происходящие на рынках непродовольственных товаров и продовольствия. Рассмотрены основные направления развития торговли в Российской Федерации согласно проекту стратегии, разработанному Минпромторгом. Проведен анализ динамики ввода торговых центров по регионам, выявлены изменения в ранее сформированном прогнозе на текущий год, определены основные причины этих изменений. Показана тенденция снижения средней площади новых торговых центров в Москве и регионах, а также основные причины, влияющие на этот показатель. Проведен анализ распределения площадей в разрезе городов с различной численностью населения, показана тенденция снижения доли городовмиллионников и повышение доли городов с населением менее 300 тыс. чело век. Дана оценка активности ретейлеров за последние годы, рассмотрены основные тенденции в развитии ключевых сетевых игроков рынка и форматов розничных торговых предприятий, в том числе международных брендов The article is devoted to the analysis of the main trends and prospects of development of shopping centers in the Russian Fed eration. The article considers the changes in the structure of gross domestic product over the past five years, and the place of trade in the total GDP, shows the dynamics of the decline in the share of this sector of the economy and identifies factors affecting the quantitative and qualitative changes in macroeconomic indicators. The analysis of operational data of Rosstat for the first quarter of this year has provided. The reasons for reduction of labor produc tivity in the retail sector over the past five years have been noted. The article shows the decline in the share of market sales in favor of trade organizations over the past ten years, as well as changes occurring in the markets of nonfood products and food. The main directions of trade development in the Russian Federation according to the draft of Strategy developed by the Ministry of industry and trade are considered. The analysis of dynamics of input of shopping centers on regions is carried out, changes in earlier created forecast for the current year are revealed the main reasons of these changes are defined. The tendency of decrease of the average area of new shopping centers in Moscow and regions, and also the main reasons influencing this indicator is shown. The analysis of the distribution of areas in terms of cities with various population sizes is carried out. The trend of reducing the share of cities and the increase in the share of cities with population less than 300 thousand people is illustrated. The activity of retailers in recent years is assessed, the main trends in the development of key network players of the market and formats of retail trade enterprises, including international brands, are considered

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.054

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 head0.018
GPT teacher head0.276
Teacher spread0.258 · 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