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Record W1878679657 · doi:10.1561/102.00000043

Absorptive Capacity, R&D Spillovers, Emissions Taxes and R&D Subsidies

2014· article· en· W1878679657 on OpenAlexaff
Slim Ben Youssef, Georges Zaccour

Bibliographic record

VenueStrategic Behavior and the Environment · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsSubsidyAbsorptive capacityEconomicsChemistryIndustrial organizationMarket economy

Abstract

fetched live from OpenAlex

In this paper, we consider a duopoly competing on quantity, where firms can invest in R8D to control their emissions. We distinguish between efforts carried out to acquire first-hand knowledge (inventive R8D) and efforts made to develop an absorptive capacity to be able to capture part of the knowledge developed by the rival. There are also free R8D spillovers between firms. To reach the first best outcome, the regulator uses three instruments, namely, a per-unit emissions tax, a per-unit inventive-research subsidy, and a per-unit absorptive-research subsidy. The socially optimal investment cost in inventive R8D is always higher than that in absorptive R8D. Interestingly, when the free spillover is high enough, the regulator gives a greater per-unit subsidy for inventive research, and when it is low enough and the marginal damage cost of pollution is sufficiently high, the regulator supports absorptive research to strengthen R8D spillovers. Moreover, inventive research is actually taxed when the free spillover is low and the marginal damage cost of pollution is high.

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 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 score0.258
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.136
GPT teacher head0.242
Teacher spread0.105 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations9
Published2014
Admission routes1
Has abstractyes

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