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Record W7117587528 · doi:10.1016/j.bamboo.2025.100219

Transforming economic and environmental sustainability through bamboo: a systematic review

2025· article· en· W7117587528 on OpenAlexafffund
Amsalu Nigatu Alamerew, Zhen Xian Zhu, Robert Kozak, Harry Nelson, Anil Shrestha, Mei He, Guangyu Wang

Bibliographic record

VenueAdvances in Bamboo Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBamboo properties and applications
Canadian institutionsUniversity of British Columbia
FundersFaculty of Forestry, University of British ColumbiaZhejiang A and F UniversityNational Social Science Fund of ChinaUniversity of British Columbia
KeywordsSustainabilityBambooSustainable developmentLivelihoodCarbon footprintCorporate governanceResource efficiencyResource (disambiguation)Ecosystem services

Abstract

fetched live from OpenAlex

Bamboo, as a versatile and renewable resource, has significant economic and environmental potential and could contribute to sustainable development. In this systematic review, we synthesize evidence of the multidimensional contributions of bamboo to eco-economic dimensions, as an alternative to non-renewable and non-recyclable materials. We address the research question: “How do bamboo forest resources contribute to economic and environmental sustainability?” 71 articles out of 1,147 were screened for final analysis. Key findings related to the main economic and environmental value of bamboo supportive to SDGs, identifying existing research gaps, spotlighting the importance of policy frameworks for sustainability and suggesting implications for future research and interventions for inclusive green development, the central focus of this investigation. Bamboo could play a critical role in creating a sustainable future. We outline opportunities to enhance its value. The eco-economic values and services of bamboo extend to construction, textiles, energy production, agriculture sectors and climate change and plastic pollution mitigation efforts. Bamboo, as a multipurpose plant, substantially supports sustainable livelihoods, resource sustainability, a low carbon footprint and global networking opportunities. Bamboo could support 10 of the 17 SDGs. For instance, bamboo could directly support the achievement of SDGs 8, 13 and 17. Research on the eco-economic contributions of bamboo has covered less than 1% of bamboo species and is predominantly concentrated in Asian countries. Limitations in scalability, lack of product standards, skill limitations, capacity constraints, market issues and inadequate policy frameworks hinder bamboo's full potential. Further investigations into socioeconomic factors, management practices and strategic governance are necessary to enhance its contributions. To maximize bamboo's significance, it is essential to implement product standardization, adopt new technologies, develop capacity and develop effective policy frameworks. Integrating bamboo with the SDGs could significantly enhance the value and competitiveness of bamboo products while fostering diverse industrial development and regional revitalization. The implications of bamboo in plastic substitution, carbon sequestration, job creation opportunities and other areas are key indicators of bamboo’s significance in achieving both eco-economic growth and sustainable development. Addressing research gaps and implementing strategic interventions would unlock its full potential in an equitable and environmentally conscious global economy. • Bamboo contributes economy & environment through Provision, Mitigation, Substitution • Bamboo supports 10 out of 17 UN Sustainable Development Goals • Scalability, standardization, and policy issues limit bamboo's full potential • Integrated and strategic management unlocks bamboo's full circular economy potential

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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.006
GPT teacher head0.250
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2025
Admission routes2
Has abstractyes

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