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Record W6989424860

As práticas de análise de projectos e os determinantes do investimento em Cabo Verde

2004· dissertation· pt· W6989424860 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2004
Typedissertation
Languagept
FieldAgricultural and Biological Sciences
TopicLogistics and Infrastructure Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Investment (military)PopulationProfitability index
DOInot available

Abstract

fetched live from OpenAlex

Os estudos dos métodos de avaliação de projectos de investimento tiveram o seu início durante os anos 60 nos Estados Unidos. A evolução nesta área tem sido crescente, cada vez mais são utilizados pelas empresas métodos mais sofisticados, que actualizam os fluxos de caixa. Contudo, persiste ainda a preocupação de resolver a discrepância entre a teoria e a prática, pois os critérios apresentados teoricamente como sendo os mais adequados, como a TIR e o VAL, nem sempre são os mais usados pelas empresas. Da interpretação e análise de diversos trabalhos de investigações elaborados nesta área, em países como EUA, Reino Unido, Canada, entre outros, surge o interesse de efectuar uma pesquisa com abordagem diferente, recaindo sobre as maiores empresas de um pequeno país como Cabo Verde. Para a realidade de Cabo Verde não são conhecidos trabalhos de investigação nesta área. O objectivo deste projecto de investigação é conhecer o processo de investimento e os vários critérios utilizados na tomada de decisão, assim como o estudo das variáveis e factores que influenciam a decisão de investimento em Cabo Verde. 1 Para elaboração deste estudo foram enviados questionários a uma amostra de 126 empresas de Cabo Verde, tendo-se obtido um total de 51 respostas válidas, equivalendo a uma taxa de resposta de 40,47%. A metodologia incluí a análise dos questionários através da determinação de estatísticas descritivas e da estimação do modelo de regressão logistic. As empresas na sua generalidade, consideram o investimento realizado de acordo com as necessidades das mesmas e concordam em afirmar que os determinantes mais favoráveis ao investimento são as condições do mercado e de financiamento, exceptuando as perspectivas em relação às exportações que ficaram classificadas como sendo o factor mais desfavorável ao investimento. Os critérios ditos sofisticados são os mais utilizados em Cabo Verde. O Rácio Custo Beneficio (RCB) é o principal critério de análise, enquanto que a Taxa Interna de Rendibilidade (TIR) é o mais usado como critério auxiliar. O Período de Recuperação (PR) também tem uma grande expressividade como critério secundário. Os critérios não financeiros são importantes no processo de avaliação. A análise multivariada sugere que a decisão de avaliar ou não antes da sua implementação é explicada por diversas variáveis, como por exemplo o volume do negócio, a dimensão da empresa, o nível de investimento, entre outras. /*** Abstract - The studies of the evaluation methods of investment projects started during the 60's in the United States of America. The evolution in this area has been increasing; enterprises are using more and more sophisticated methods that update their cash flow. However there is still the need to solve the difference between the theory and practice, for the criterions presented theoretically as the most appropriate, such as IRR and NPV, are not always the most used by enterprises. From the interpretation an analysis of the various investigation works elaborated in this area, in countries such as United States of America, United Kingdom and Canada, among others, comes the need of a research with a new approach about the biggest enterprises of a small country as Cape Verde. When it comes to Cape Verde realty there are no knowledge of investigations in this area. This investigation project intends to understand the investments process and the various criterions used in the decisions taken, and also to know the variables and factors of influence. To make this research possible questionnaires were sent to a sample of 126 enterprises in Cape Verde, from this sample 51 valid responses were obtained performing 40,47% of the response rate. The methodology includes the analysis of the questionnaires trough descriptive statistics and the estimation of the logistic regression model. The results related to the descriptive analyses suggest that in general enterprises, consider the investment realized with their needs, and agreed in stating that more favorable, determinant of investment is the market and financial states, excepting the perspectives about the exports relation that was classified like a more unfavorable determinant of investment. The so-called sophisticated criterions are the most used in Cape Verde. The Cost/Benefit Ratio (CBR) is the primary criterion of analyses, while Internal Rate of of Retum (IRR) it's the most used as a support. The PayBack also has a major significance as a support criterion. The non-financial criterion is very important on the evaluation process. The multivariate analyses suggest that the decision of evaluation or non evaluation before the implementation is explained with several variables, as for example, the volume of the business, the enterprise dimension, the level of investment, and others.

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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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.008
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.050
GPT teacher head0.374
Teacher spread0.323 · 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