Bioeconomy and sustainable development goals: How do their interactions matter?
Anne Warchold , Prajal Pradhan
Geography and Sustainability ›› 2025, Vol. 6 ›› Issue (3) : 100293
Bioeconomy and sustainable development goals: How do their interactions matter?
Countries worldwide are leveraging the 2030 Agenda and its 17 Sustainable Development Goals (SDGs) for building a more resilient and sustainable future. One solution in this endeavour is transitioning towards a bioeconomy (BE), utilizing renewable resources and low-carbon value chains to meet food, energy, and materials demands. However, BE is neither inherently circular nor sustainable, compromising SDGs’ progress. Therefore, we conducted a detailed ex-post analysis using correlation, transfer entropy, and network analysis to understand the complex causal interactions between BE and SDGs. Moving beyond correlation, we explored the directional influence of interactions within the BE-SDG nexus. Our findings reveal a robust bidirectional influence between 19 BE criteria and 109 SDG targets across all goals among 48 European countries. While BE can drive progress toward SDGs, a balanced distribution of synergies and trade-offs constrains its impact. Collaborative efforts among European countries would effectively drive towards achieving both BE and SDGs. SDG 13 has positive influences from lowered fossil fuel emissions and negative ones due to land use changes and intensified agriculture, which releases stored carbon. Similarly, SDG 15 emerges as a positive influence, as healthy ecosystem services foster a resilient BE. Despite efforts towards SDG 12, Europe’s unsustainable consumption impedes BE supply chains. While BE practices are intended to accelerate sustainability, they fall short of playing a transformational role in achieving the SDGs. A shift towards a cohesive, collaborative strategy that leverages synergies and mitigates trade-offs can enhance the BE’s impact, advancing Europe closer to achieving the 2030 Agenda.
SDGs / Bioeconomy / Bioeconomy database / Synergies and trade-offs / Causal interactions / Directionality
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
European Commission, 2012. Innovating for sustainable growth: a bioeconomy for Europe Technical Report. European Union, Brussels, Belgium . https://data.europa.eu/doi/ 10.2777/6462 |
| [17] |
European Commission, 2018. Bioeconomy: the European way to use our natural resources: action plan 2018 Technical Report. European Commission Directorate-General for Research and Innovation, Brussels, Belgium . https://data.europa.eu/doi/10.2777/ 79401. |
| [18] |
European Commission, 2024. The bioeconomy in different countries . https:// knowledge4policy.ec.europa.eu/visualisation/bioeconomy- different- countries_en. |
| [19] |
EUROSTAT, 2023. European Statistical Office - data browser . https://ec.europa.eu/ eurostat/databrowser/explore/all/all_themes |
| [20] |
FAO, 2021. Aspirational principles and criteria for a sustainable bioeconomy. Technical Report. Food and Agriculture Organization of the United Nations (FAO), Rome, Italy . https://openknowledge.fao.org/handle/20.500.14283/cb3706en |
| [21] |
FAO, 2022a. AQUASTAT - FAO’s Global Information System on Water and Agriculture of the United Nations . https://data.apps.fao.org/aquastat/?lang=en. |
| [22] |
FAO, 2022b. FAOSTAT - FAO Statistical Databases: Agriculture, Fisheries, Forestry, Nutrition. Food and Agriculture Organization of the United Nations . https://www.fao.org/faostat/en/# data. |
| [23] |
|
| [24] |
Ferreira Gregorio, V., Pié, L., Terceno, A., 2018. A systematic literature review of bio, green and circular economy trends in publications in the field of economics and business management. Sustainability 10, 4232. doi: 10.3390/su10114232. |
| [25] |
Global Footprint Network, 2022. National Footprint and Biocapacity Accounts, 2019 edition . https://www.footprintnetwork.org/licenses/. |
| [26] |
|
| [27] |
|
| [28] |
JRC, 2022. Data/modelling platform of resource economics - bioeconomy, data and dashboards . https://datam.jrc.ec.europa.eu/datam/area/BIOECONOMY?rdr= 1720428460901. |
| [29] |
|
| [30] |
Korbel, J., Jiang, X., Zheng, B., 2019. Transfer entropy between communities in complex financial networks. Entropy 21, 1124. doi: 10.3390/e21111124. |
| [31] |
|
| [32] |
|
| [33] |
Li, C., Pradhan, P., Chen, G., 2024. The agricultural system and planetary boundaries. In: Reference Module in Food Science. Elsevier, Amsterdam. doi: 10.1016/ B978- 0- 443- 15976- 3.00012- X. |
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
Miranda, J., Börner, J. , Bruckner, M., Lutz, C., Reuschel, S., Stöver, B., Többen, J., Wilts, R., 2023. Towards a bioeconomy within planetary boundaries. |
| [38] |
|
| [39] |
Peng, S., Han, W., Jia, G., 2022. Pearson correlation and transfer entropy in the Chinese stock market with time delay. Data Sci. Manage. 5, 117–123. doi: 10.1016/j.dsm.2022. 08.001. |
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
Ronzon, T., Iost, S., Philippidis, G., 2022. Has the European Union entered a bioeconomy transition? Combining an output-based approach with a shift-share analysis. Environ. Dev. Sustain. 24, 8195–8217. doi: 10.1007/s10668- 021- 01780- 8. |
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
Sachs, J.D., Kroll, C., Lafortune, G., Fuller, G., Woelm, F., 2022. From crisis to sustainable development: the SDGs as roadmap to 2030 and beyond. Sustainable Development Report 2022. Technical Report. Sustainable Development Solutions Network (SDSN) & Bertelsmann Stiftung, Cambridge. |
| [52] |
Sachs, J.D., Lafortune, G., Fuller, G., 2024. The SDGs and the UN Summit of the Future. Sustainable Development Report 2024. Technical Report. Dublin University Press, Dublin. doi:10.25546/108572. |
| [53] |
|
| [54] |
Stegmann, P., Londo, M., Junginger, M., 2020. The circular bioeconomy: its elements and role in European bioeconomy clusters. Resour. Conserv. Recycl.: X 6, 100029. doi: 10.1016/j.rcrx.2019.100029. |
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
UN, 2022. Global indicator framework for the Sustainable Development Goals and targets of the 2030 Agenda for Sustainable Development Global indicator framework adopted by the General Assembly in A/RES/71/313 (Annex), 2020 Comprehensive Review changes (Annex II) and annual refinements contained in E/CN.3/2018/2 (Annex II), E/CN.3/2019/2 (Annex II), E/CN.3/2020/2 (Annex III), E/CN.3/2021/2 (Annex), E/CN.3/2022/2 (Annex I) . https://unstats.un.org/sdgs/indicators/indicators-list/. |
| [61] |
UNSTATS, 2022. Global SDG indicators Data Platform . https://unstats.un.org/sdgs/dataportal. |
| [62] |
|
| [63] |
|
| [64] |
World Bank Group, 2022b. DataBank - Sustainable Development Goals (SDGs) . https:// databank.worldbank.org/source/sustainable- development- goals- (sdgs. |
| [65] |
World Bank Group, 2022a. World Development Indicators Database . https://data. worldbank.org/indicator. |
| [66] |
|
| [67] |
Yang, A., Throp, H., Sherman, S., 2024. How strategic collaboration on the bioeconomy can boost climate and nature action. Technical Report. Royal Institute of International Affairs. doi:10.55317/9781784136253. |
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
| [75] |
Zhou, X., Moinuddin, M., Xu, M., 2017. Sustainable Development Goals Interlinkages and Network Analysis: a practical tool for SDG integration and policy coherence. Institute for Global Environmental Strategies. doi: 10.57405/iges-6026. |
/
| 〈 |
|
〉 |