| Literature DB >> 31042759 |
Irwa Issa1, Sebastian Delbrück2, Ulrich Hamm1.
Abstract
Effective global collaboration is crucial to achieving the UN Sustainable Development Goals (SDGs). It requires an understanding of the needs of individual countries and their expectations related to bioeconomy. With the aim to explore the prospective developments in the global bioeconomy over the next 20 years, the German Bioeconomy Council, an independent advisory body to the German Federal Government, commissioned BIOCOM-AG to invite experts from around the globe to share their insights in a global expert survey. The survey was conducted online in autumn 2017. 345 experts from 46 countries completed the questionnaire about future developments and strategies in the global bioeconomy. As claimed by the experts, the upcoming bioeconomy must primarily meet humanity's needs in the energy, agriculture, and food sectors. Moreover, innovative products based on renewable resources are anticipated to be of great importance. Even though all UN SDGs will be affected by future bioeconomy success stories, five SDGs stood out within the sample: SDG 12: 'responsible consumption and production'; SDG 9: 'industry, innovation and infrastructure'; SDG 13: 'climate action'; SDG 7: 'affordable and clean energy'; and SDG 11: 'sustainable cities and communities'. About three quarters of the experts emphasized the need to specifically address three conflicting goals in any future bioeconomy strategy: non-food uses of arable land, use of crop land to produce feedstock for meat, milk and egg production and, finally, the conversion of virgin forests into agricultural land. Most experts stated that reducing food loss and waste is crucial to eradicating the world hunger problem. The proposed solutions relied greatly on innovation and technological development. Bioeconomy expertise and know-how should be shared in close cooperation between developed and developing economies to reach UN SDGs. A supportive political framework would be the ultimate goal towards furthering the progress of a future bioeconomy all over the world.Entities:
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Year: 2019 PMID: 31042759 PMCID: PMC6494193 DOI: 10.1371/journal.pone.0215917
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Clustering respondents according to the Gross National Income (GNI) of their countries.
All respondents n = 345 (Adopted from World Bank GNI Atlas Method* [41]).
| Cluster | Description | Countries (Number of respondents) |
|---|---|---|
| 1 | India (5), Indonesia (6), Kenya (8), Mozambique (1), Nigeria (6), Sri Lanka (4), Tanzania (2), Uganda (4) | |
| 2 | Argentina (9), Brazil (18), China (1), Colombia (8), Malaysia (3), Mauritius (2), Mexico (6), Namibia (7), Paraguay (3), Russia (2), South Africa (7), Thailand (12) | |
| 3 | Italy (13), Latvia (6), Lithuania (4), Portugal (1), South Korea (3), Spain (12), Uruguay (3) | |
| 4 | Australia (16), Austria (11), Belgium (5), Canada (5), Denmark (18), Finland (15), France (5), Germany (26), Iceland (2), Ireland (6), Japan (6), Netherlands (14), New Zealand (2), Norway (10), Sweden (14), UK (8), USA (9) | |
| 5 | Europe (16), International (14) |
* World Bank Atlas method: GNI per capita is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI is calculated in national currency but is usually converted to U.S. dollars at official exchange rates for comparisons across economies [41].
Descriptive statistics of respondents (N = 345).
| Descriptive statistics | Categories | Percent (N = 345) |
|---|---|---|
| Yes | 95,4 | |
| No | 4,6 | |
| Yes | 28,1 | |
| No | 71,9 | |
| Researcher/ lecturer at a public institution (university, research institute) | 43,8 | |
| Policy maker/ public official/ public administration staff | 24,3 | |
| Industry | 19,7 | |
| Representative of a civil society organization/ NGO | 7,8 | |
| Association | 2,0 | |
| Other | 2,3 | |
| Food, nutrition | 4,1 | |
| Fishery | 3,5 | |
| Biotechnology | 17,4 | |
| Health, pharma | 1,2 | |
| Energy | 9,9 | |
| Agriculture | 22,3 | |
| Chemistry | 6,4 | |
| Wood and paper manufacturing | 3,5 | |
| Forestry | 7,2 | |
| Other | 24,6 |
Fig 1Main promising success stories of the bioeconomy over the next 20 years (n = 345).
Note: multiple answers.
Fig 2Cluster 1: Main promising success stories of the bioeconomy over the next 20 years in Low- and Lower-Middle-Income Economies (up to $3,955 per capita, n = 36).
Note: multiple answers.
Fig 6Cluster 5: Main promising success stories of the bioeconomy over the next 20 years in European and International Organisations (n = 30).
Note: multiple answers.
Fig 7UN Sustainable Development Goals (SDGs) affected (n = 344).
Note: multiple answers.
Importance of Sustainable Development Goals (SDGs) by clusters.
| UN SDGs | Cluster 1 (n = 36) | Cluster 2 (n = 78) | Cluster 3 (n = 41) | Cluster 4 (n = 159) | Cluster 5 (n = 30) | Notes |
|---|---|---|---|---|---|---|
| 44,4%a | 32,1%a | 24,4%a | 32,1%a | 26,7%a | ||
| 19,4%a | 9,0%a | 4,9%a | 6,3%a | 6,7%a | ||
| 22,2%a | 10,3%a | 14,6%a | 23,3%a | 23,3%a | ||
| 33,3%a | 46,2%a | 34,1%a | 50,9%a | 33,3%a | ||
| 16,7%a | 30,8%a | 29,3%a | 32,7%a | 30,0%a | ||
| 5,6%a | 14,1%a | 7,3%a | 6,9%a | 13,3%a | ||
| 11,1%a | 9,0%a | 4,9%a | 6,3%a | 3,3%a | ||
| 13,9%a | 10,3%a | 12,2%a | 13,8%a | 13,3%a |
multiple answers. Significant differences are in bold. Significance level for upper case letters (A, B, C, D): p < 0,1 (they are also italicized) and significance level for lower case letters (a, b, c, d): p < 0,05. Values in the same row and sub-table not sharing the same subscript are significantly different in the two-sided test of equality for column proportions. Tests assume equal variances. Tests are adjusted for all pairwise comparisons within a row of each innermost sub-table using the Benjamini-Hochberg correction.
Fig 8Investment of public research funds in alternatives for future bioeconomy strategies (n = 345).
Should future bioeconomy strategies deal with the following conflicting goals?
| Cluster 1 (n = 36) | Cluster 2 (n = 78) | Cluster 3 (n = 42) | Cluster 4 (n = 159) | Cluster 5 (n = 30) | Overall sample (n = 345) | |
|---|---|---|---|---|---|---|
| 66,7% | 70,5% | 71,4% | 80,5% | 96,7% | ||
| 69,4% | 73,1% | 71,4% | 79,9% | 83,3% | ||
| 75,0% | 88,5% | 78,6% | 86,8% | 96,7% |