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Record W2399168491 · doi:10.4236/ti.2016.72006

Funding of Agricultural Research and Development in Ghana: The Case of Council for Scientific and Industrial Research (CSIR)

2016· article· en· W2399168491 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.

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

VenueTechnology and Investment · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureCapital expenditureGovernment (linguistics)Investment (military)Nonprobability samplingAgricultural economicsPovertyBusinessEconomic growthPublic expenditureEconomicsPolitical scienceFinanceGeographyPublic finance

Abstract

fetched live from OpenAlex

Agricultural Research and Development (R&D) investments contribute greatly to economic growth, agricultural development and poverty reduction in developing countries. This paper examines the financial investment and expenditure trends in agricultural R&D in Ghana with emphasis on the Council for Scientific and Industrial Research (CSIR) and the implication for the policies driving agricultural research in Ghana. Data from Agricultural Science & Technology Indicator (ASTI) and in-depth studies on agricultural R&D in Ghana were used. Purposive sampling was used to gather data in thirteen agricultural research institutes and five public universities in Ghana. Through questionnaire administration, data were collected and analyzed using descriptive statistics. The study revealed that, total public agricultural R&D expenditure had increased by 59 per cent from 42.5 million (2005 PPP) dollars in 2000 to 67.7 million (2005 PPP) dollars in 2011 and with an average expenditure of 54.1 million (2005 PPP) dollars per year. The total expenditure by CSIR constitutes about 50 per cent of the total agricultural research expenditure in Ghana. The study however, showed a drastic decline in capital investments from 6.7 per cent in 2000 to 0.1 per cent in 2011 of the total government funding with operational cost following similar declining pattern. Still, when considering the totality of funding including salaries and wages, government support is the main source of funding for agricultural R&D in Ghana (85 per cent) with donors (7.3 per cent), sale of goods and services (6.7 per cent) and others serving as complementary sources. Though there have been considerable government investments in agricultural R&D in CSIR over the period, impact on operational and research activities has been minimal as the chunk of it went into payment of salaries and wages. The fundamental challenge is funding the very important operational and research activities which lead to technology development and innovation. Increasing commercialization of research technologies and government investment in agricultural R&D in Ghana, are recommended to address this investment challenge.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.340
GPT teacher head0.334
Teacher spread0.006 · 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