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Record W2801116732 · doi:10.5539/ibr.v11n6p21

Macroeconomics Effects on Project Finance Performances and Sustainability

2018· article· en· W2801116732 on OpenAlex
Francesco Campanella, Luana Serino, Teresa Nelli, Domenico Graziano

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Business Research · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsnot available
Fundersnot available
KeywordsProfitability indexSustainabilityChinaWork (physics)EconomicsProject financeValue (mathematics)FinanceBusinessMacroeconomics

Abstract

fetched live from OpenAlex

The aim of this study is to demonstrate whether the macroeconomic variables have a significant impact on profitability, sustainability, and value creation of projects implemented with the project financing technique. The empirical analysis was developed using the performance trend from 1997 to 2014 (18 years) of 10 large infrastructure projects financed using the project financing technique in BRICS countries (Brazil, Russia, India, China, South Africa) and in PIIGS countries (Portugal, Italy, Ireland, Greece, Spain). The results show that the indicators of economic performance and financial sustainability are influenced by various macroeconomic variables. Instead, value creation indicators are affected little by exogenous factors. In the operative sense, our work suggests that in the design phase of an infrastructure it is necessary to consider that macroeconomic factors can positively or negatively impact economic and financial performance.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.374
Teacher spread0.318 · 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