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Record W4416832029 · doi:10.71266/nt66dp25

<b>THE EFFECT OF STATE OWNERSHIP ON FIRM VALUE AND ITS IMPLICATIONS IN THE INDONESIAN CAPITAL MARKET</b>

2025· article· W4416832029 on OpenAlexaboutno aff
Faisal Akbar, Taufik Taufik, Nyimas Dewi Murnila Saputri, Fida Muthia

Bibliographic record

VenueJournal of Applied Digital Business and Management · 2025
Typearticle
Language
FieldSocial Sciences
TopicCorporate Social Responsibility Disclosure
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeEnterprise valuePanel dataIndonesianCapital callMarket value addedQuarter (Canadian coin)State ownershipValue (mathematics)

Abstract

fetched live from OpenAlex

This research examines how government ownership (GOVi) affects firm value (PBV) among state-owned enterprises traded on the Indonesia Stock Exchange throughout the period from the first quarter of 2020 to the first quarter of 2021. To enhance the robustness of the model, firm size and firm growth are incorporated as control variables. The research employs secondary data obtained from publicly available financial reports published by the IDX. Using purposive sampling, twelve state-owned firms were selected as the final sample. The analysis was conducted using panel data linear regression through Eviews software. The findings indicate that government ownership (GOVi) exerts a positive and statistically significant influence on firm value (PBV). Conversely, firm size shows no measurable effect on firm value, and firm growth likewise demonstrates no significant association with PBV.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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