ReviewThe Science of the total environment2022
Bioeconomy and green recovery in a post-COVID-19 era.
Review in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Sustainability, profitability, and resiliency of the fast fashion industries during a pandemic.Energy & environment (Brentwood, England) · 2026Article
- The Future of Food.Foods (Basel, Switzerland) · 2024Review
- Recent advances in green technology and Industrial Revolution 4.0 for a sustainable future.Environmental science and pollution research international · 2023Review
- Article
- Ecosystem Services at the Farm Level-Overview, Synergies, Trade-Offs, and Stakeholder Analysis.Global challenges (Hoboken, NJ) · 2023Review
- Elderly Dementia Needs Better Care in Post-COVID-19 Era.Aging and disease · 2023Article
- The "Vertigo" of the Food Sector within the Triangle of Climate Change, the Post-Pandemic World, and the Russian-Ukrainian War.Foods (Basel, Switzerland) · 2023Article
- Plastic wastes in the time of COVID-19: Their environmental hazards and implications for sustainable energy resilience and circular bio-economies.The Science of the total environment · 2023Review
- Pandemic urban development is leading us away from nature.Environmental research · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spread of the COVID-19 pandemic has generated a health crisis and repetitive lockdowns that disrupted different economic and societal segments. As the world has placed hope on the vaccination progress to bring back the socio-economic "normal," this article explores how the bioeconomy can enhance the resilience and sustainability of bio-based, food, and energy systems in the post-COVID-19 era. The proposed recovery approach integrates technological innovations, environment, ecosystem services, "biocities," food, rural economies, and tourism. The importance of integrating culture, arts, and the fashion industry as part of the recovery is underlined towards building a better bioeconomy that, together with environmental safeguards, promotes socio-cultural and economic innovations. This integration could be achieved supporting communities and stakeholders to diversify their activities by combining sustainable production with decarbonization, stimulating private investments in this direction and monitoring the resulting impact of mitigation measures. Food systems should become more resilient in order to allow adapting rapidly to severe crises and future shocks, while it is important to increase circularity towards the valorization of waste, the integration of different processes within the biorefinery concept and the production of bio-based products and biofuels.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.