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Record W4399096387 · doi:10.5430/jms.v15n1p50

Infrastructure Development in Ethiopia and Its Impact on Economic Diplomacy With China

2024· article· en· W4399096387 on OpenAlexvenueno aff
Fikadie Damtie Yiblet

Bibliographic record

VenueJournal of Management and Strategy · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsChinaDiplomacyEconomic diplomacyPolitical scienceEconomic growthDevelopment economicsEconomicsPolitics

Abstract

fetched live from OpenAlex

Economic Diplomacy between Ethiopia and China: A Focus on Infrastructure Development" explores the intricate dynamics of the economic partnership between Ethiopia and China, specifically emphasizing infrastructure development. This comprehensive analysis examines the alignment of Chinese government policies with Ethiopia's development goals, evaluates key infrastructure agreements and projects supported by China, and assesses the impact of Chinese government involvement on bilateral relations and economic diplomacy.Evidence of strategic alignment between Chinese government policies and Ethiopia's development objectives is observed across sectors such as infrastructure, industrialization, and poverty alleviation. Notable projects like the Eastern Industry Zone, Hawassa Industrial Park, and the Addis Ababa-Djibouti Railway illustrate coordinated efforts to advance Ethiopia's industrialization agenda and bolster connectivity and regional trade.Moreover, the article delves into broader implications of the partnership, extending beyond individual projects to encompass comprehensive collaboration in transportation, energy, and industrial zones. It underscores China's significant influence and expertise in these sectors, facilitating Ethiopia's emergence as a regional trade hub and alignment with its geopolitical and economic aspirations.Methodologically, the research employs a qualitative approach involving purposive sampling and thematic analysis of primary and secondary data sources. Primary data sources include interviews and discussions with key stakeholders, while secondary sources encompass policy documents, agreements, and scholarly literature. Thematic analysis is utilized to identify recurring themes and patterns, providing insights into the motivations and implications of Chinese involvement in Ethiopian infrastructure development.In conclusion, the study highlights the transformative potential of infrastructure development in enhancing diplomatic relations and projecting economic influence. China's contributions exemplify the evolving landscape of international economic diplomacy, shaping collaborative narratives in the 21st century. The rigorous qualitative methodology employed strengthens the credibility and reliability of the findings, offering deeper insights into the nuances of economic diplomacy between Ethiopia and China.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.306
Teacher spread0.296 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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