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Record W2269090278 · doi:10.5539/ijef.v8n2p81

The Impact of China’s Accession to the WTO on Tax and Customs Revenues

2016· article· en· W2269090278 on OpenAlexvenueno aff
Husam Yaseen Mohsin

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGeochemistry and Geochronology of Asian Mineral Deposits
Canadian institutionsnot available
Fundersnot available
KeywordsAccessionTariffChinaRevenueInternational tradeTax revenueLiberalizationEconomicsFree tradeInternational economicsGovernment (linguistics)BusinessPublic economicsEuropean unionMarket economyPolitical scienceFinanceLaw

Abstract

fetched live from OpenAlex

The paper identifies the importance of the Chinese accession to WTO and provides the basic information towards the import and export regulations after it. It also gives the historical background to the gradual and continuous liberalization of the foreign trade in China, explaining that it was a long and challenging process for the Chinese economic system. With the accession to WTO, China was obliged to reduce its import tariffs and lose the considerable sums of tariff revenues, which it was supposed to compensate with the help of the other regulations. The paper considers the effectiveness of such regulations and offers the alternative ways of compensation that appear to be more effective in this regard. In addition, the paper also gives the contemporary overview of the tariff reduction policy of China, analyzing the advantages and disadvantages of the last. It concludes that the Chinese government has to face a great set of challenges and undergo a great variety of political and economic reforms to effectively compensate such losses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.183
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.240
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations28
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Economics and FinanceSame topicGeochemistry and Geochronology of Asian Mineral DepositsFrench-language works237,207