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Record W2393422279

Impact of trade on China's SO_2 emissions is relatively small

2010· article· en· W2393422279 on OpenAlexaff
Jie He

Bibliographic record

Venue中国经济学人(英文版) · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPollution haven hypothesisIndustrialisationEconomicsPanel dataCompetition (biology)ChinaInternational tradeEstimationTrade barrierInternational economicsForeign direct investmentEconometricsMarket economyMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

To better understand trades impact on the environment, we construct a four-equation simultaneous system in which three economic determinants define emissions: scale, composition and technique effects, all embodied directly by trade. Supposing the three economic determinants are also endogenous to trade, we check the indirect impacts of trade on the environment in the following three functions through the intermediation of the three effects.We then estimate 29 Chinese provinces' panel data in the model on industrial SO_2 emissions (1993-2001).Our estimation results reveal that export expansion and the accumulation of manufactured goods imports had the opposite roles on industrial SO2 emissions determination.The results do not support the haven hypothesis; the reinforced competition exporters face is a positive factor that encourages technological progress in pollution abatement.China's actual comparative advantage resides in labor-intensive industries; exporting to the world market actually helps to reduce the pollution increases caused by China's heavy-industry-oriented industrialization strategy, which government-intervened import activities traditionally support.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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 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
Published2010
Admission routes1
Has abstractyes

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