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ANALISIS PERANAN KATEGORI EKONOMI BASIS DAN EFISIENSI PERTAMBAHAN INVESTASI DI KABUPATEN MINAHASA UTARA

2018· article· en· W2901041105 on OpenAlex
Julio Patrice Deo Ratag, V V.J Panelewen, Benu Olfie L. S.

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

VenueAGRI-SOSIOEKONOMI · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsEconomic base analysisGeographyGross domestic productAgricultureAgricultural economicsSocioeconomicsEnvironmental protectionForestryEconomic growthEconomicsArchaeology

Abstract

fetched live from OpenAlex

This research aims to analyze the role of the categorical or economic base sector as well as to observe the efficiency of investment accumulation in North Minahasa Regency. This research was conducted in the area of North Minahasa Regency, North Sulawesi Province. The study began in April until October 2018. This research was conducted in the area of North Minahasa Regency, North Sulawesi Province. The study began in April until October 2018. This research employs secondary data from Regional Gross Domestic Product (RGDP) based on the constant price in North Minahasa Regency and North Sulawesi Province and the data from The Change of Regional Gross Fixed Capital in North Minahasa Regency. The instrument used in this research is Location Quotient (LQ), Shift Share Analysis, and Incremental Capital Output Ratio. Results from LQ show that the category of agriculture, forestry, and fishery, mining and excavation, manufacture, construction, electricity and gas, real estate and education service serve the base category in North Minahasa Regency, with the value of LQ above 1. The role of base category shows positive result towards the formation of the Regional Gross Domestic Product in North Minahasa Regency, agriculture and forestry and fishery are the biggest contributor in RGDP of North Minahasa Regency during the period of 2013-2017. The role of base category through regional share towards North Sulawesi Province also shows positive results, thus base category in North Minahasa Regency contributes to the formation of RGDP in North Sulawesi Province. In the calculation of proportional shift, several base categories in North Minahasa Regency received negative values, namely agriculture, forestry and fishery, manufacture, and education service. Then, in the calculation of differential shift, electronics and gas is the only sector which receives negative value or is not able to compete with similar category in the provincial level. Also, the calculation of Incremental Capital Output Ratio as the instrument of the efficiency of capital income in North Minahasa Regency in the period of 2013-2017 which is calculated by the standard method to lag0, lag1 as well as the mean calculation method, show the result of ICOR which can be categorized as not efficient.

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 score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.034
GPT teacher head0.214
Teacher spread0.180 · 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