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Record W2973676013 · doi:10.22437/pdpd.v7i1.4602

Analisis pertumbuhan ekonomi dan ketimpangan pembangunan di Wilayah Sumatera

2018· article· en· W2973676013 on OpenAlex
Kartira Dorcas Andhiani, Erfit Erfit, Adi Bhakti

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuee-Jurnal Perspektif Ekonomi dan Pembangunan Daerah · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPanel dataGeographyInvestment (military)EconomicsWelfare economicsMathematicsStatisticsPolitical science

Abstract

fetched live from OpenAlex

This paper aims to analyze economic growth and inequality of development in the region of Sumatra. The study used panel data of provinces in Sumatra region during the period 2011-2015. The method of analysis used is descriptive research method and panel data regression. Based on the results of the analysis is known that economic growth in the region of Sumatra tend to decrease, whereas development inequality ranges from IW (Williamson Index) 0.406-0.446. The highest level of inequality occured in 2012 in South Sumatra Province of 0,876 and the lowest occured in 2014 in Lampung Province in 0,103. Based on the result of panel data regression, it is known that simultaneously investment, government expenditure, agglomeration, and labor influence to economic growth. Likewise, simultaneously investment, government spending, agglomeration, and labor also have an effect on development inequality.. Keyword: Economic Growth, Development Inequality, Investment, Government Spending, Agglomeration, Labor
 Abstrak Penelitian ini bertujuan untuk menganalisis pertumbuhan ekonomi serta meninjau seberapa besar ketimpangan pembangunan masing-masing provinsi di wilayah Sumatera. Penelitian ini menggunakan data panel provinsi-provinsi di Wilayah Sumatera selama periode 2011-2015. Metode analisis yang digunakan adalah metode penelitian deskriptif dan regresi data panel. Berdasarkan hasil analisis diketahui bahwa pertumbuhan ekonomi di wilayah Sumatera cenderung mengalami penurunan, sedangkan ketimpangan pembangunan berkisar antara IW 0,406-0,446. Tingkat ketimpangan tertinggi terjadi tahun 2012 di Provinsi Sumatera Selatan sebesar 0,876 dan terendah terjadi tahun 2014 di Provinsi Lampung dengan angka 0,103. Berdasarkan hasil regresi data panel diketahui bahwa secara simultan investasi, belanja pemerintah, aglomerasi, dan tenaga kerja berpengaruh terhadap pertumbuhan ekonomi. Demikian juga, secara simultan investasi, belanja pemerintah, aglomerasi, dan tenaga kerja berpengaruh juga terhadap ketimpangan pembangunan.. Kata Kunci : Pertumbuhan Ekonomi, Ketimpangan Pembangunan, Investasi, Belanja Pemerintah, Aglomerasi, Tenaga Kerja

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 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 score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.229
Teacher spread0.205 · 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