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Record W4415614329 · doi:10.1016/j.tfp.2025.101067

Analysis of frankincense value chain in Northwest Ethiopia: Variance-weighted least-squares regression approach

2025· article· en· W4415614329 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTrees Forests and People · 2025
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsUniversity of British Columbia
FundersHuazhong Agricultural UniversityInjibara University
KeywordsValue chainDescriptive statisticsValue (mathematics)Product (mathematics)Chain (unit)Corporate governanceOrdinary least squaresProfit (economics)

Abstract

fetched live from OpenAlex

• Frankincense is the first and foremost important non-timber products for income generation in the Ethiopia. • The frankincense value chain is underdeveloped in the country due to different factors. • Understanding and reducing these factors plays a great role for its sustainable value chain development. • Variance-Weighted Least square regression is used to analyze the data. • Weak value chain governance and limited upgrading mechanisms among producers highlight the need for improved organization and market information access Frankincense is the first and foremost important non-timber product for income generation in the country. However, there is a gap in the current value chain and the frankincense value chain is underdeveloped. This study was therefore designed to analyze the frankincense value chain in the Western Amhara Region of Ethiopia. The data were collected from 288 randomly selected sample respondents using interviews, focus group discussion, and observation (as a method) and a semi-structured questionnaire (as a tool). Both descriptive and econometric analyses (Variance-Weighted Least squares regression (VWLS)) were used to analyze the data. The marketing margins of the frankincense producers, collectors, wholesalers, and retailers were 20.74%, 37.18%, 17.54% and 24.54%, respectively. The profit shares of the frankincense producers, collectors, wholesalers, and retailers were 9.12%, 24.56%, 27.21%, and 39.11%, respectively. The value chain governance system was ineffective for frankincense producers due to a lack of market information (price and consumers' demand preferences) (79.68%) and a weak organizational structure (99.33%) among the frankincense producers. The frankincense producers mainly (50.82%) used the functional upgrading. Lack of tapping experience or poor knowledge on the production of frankincense, poor infrastructure and market access, lack of processing industries, poor handling and storing practices, lack of value-added activities, lack of continues follow-ups and support of cooperatives, deforestation (for agricultural expansion, fuel and construction) were the main constraints of the frankincense value chain. The VWLS regression results revealed that the frankincense market's experiences, selling price, access to market information, sex, cooperative membership, livestock and crop production involvement were significant factors affecting the amount of frankincense supplied to the market. Therefore, designing policies towards improving production practices, markets access, and increasing consumer awareness should improve frankincense value chain.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.051
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.301
Teacher spread0.289 · 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