Transforming economic and environmental sustainability through bamboo: a systematic review
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".