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Transformation of the Socio-economic Model of China in the Context of a Pandemic

2020· article· en· W3116190198 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

VenueOutlines of global transformations politics economics law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
FundersMinistry of Science and Higher Education of the Russian Federation
KeywordsChinaContext (archaeology)Government (linguistics)Quarter (Canadian coin)BusinessEconomic recoveryConsumption (sociology)BeijingEconomic indicatorSocial securityAttractivenessEconomicsDevelopment economicsEconomic policyEconomic growthMarket economyPolitical scienceGeographyMacroeconomics

Abstract

fetched live from OpenAlex

The article explored the impact of the pandemic and the ensuing quarantine on the Chinese economy and its attractiveness to foreign investors. At the end of the first quarter of 2020, there was a sharp decline in almost all Chinese socio-economic indicators. The year to year decline in GDP, retail sales and exports by 6.8%, 19% and 11.4% respectively, looked especially dramatic. Against that negative background, the question arose, firstly, about the urgent launch of the program to stimulate the economy and, secondly, the need to develop and implement a new model of economic development for the PRC. After a slight delay, the Chinese authorities launched a series of fiscal and monetary measures aimed at supporting the national economy, including: reducing or canceling various payments to the budget (taxes, social security contributions, etc.), reducing loan rates, the ratio of reserve requirements, direct and indirect payments to citizens, etc. Thanks to government support measures, the main socio-economic indicators for the third quarter of 2020 showed growth, although less than Beijing would like. The lack of private consumption by Chinese households remains the main problem. Implementing support measures, the Chinese authorities have unveiled a new strategy for economic development, called «dual circulation», which aims to stimulate domestic private consumption. The authors come to the conclusion that, firstly, despite external and internal challenges, China, as a whole, will be able to achieve the indicative indicators laid down in the 13th five-year plan for the social and economic development of the PRC for 2016-2020. Secondly, the tasks of complete elimination of poverty in the country will be successfully solved and plans for the construction of a society of «moderately prosperous society» will be implemented. Thirdly, China in the short and medium term will retain its attractiveness for foreign investment, but not within the framework of the «investment in the production of goods for export» scheme, but within the framework of «investment in the production of goods for domestic consumption».

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.041
GPT teacher head0.289
Teacher spread0.248 · 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