Berry, Robert ORCID: 0000-0002-7714-5211, Vigani, Mauro ORCID: 0000-0003-2442-7976 and Urquhart, Julie ORCID: 0000-0001-5000-4630 (2022) Economic resilience of agriculture in England and Wales: a spatial analysis. Journal of Maps, 18 (1). pp. 70-78. doi:10.1080/17445647.2022.2072242
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11084 Berry et al (2022) Economic resilience of agriculture in England and Wales a spatial.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (2MB) | Preview |
Abstract
Agriculture has a hugely important role to play in meeting many of the UN’s Sustainable Development Goals (SDGs). Ensuring the economic resilience of farms and improving their capacity to respond to a wide range of challenges is key if agriculture is to contribute positively to achieving SDGs and sustainable growth. This paper aims to calculate the economic vulnerability and resilience of agriculture in England and Wales (UK), by analysing individual farm business data and using it to compute an aggregated agricultural resilience index at regional level across the two countries. The results of our analysis are visualised as maps, showing the geographical distribution of the input indicators and the final composite resilience index. We argue that this type of spatio-economic approach is useful for understanding the geography of agricultural resilience at sub-national levels, which could be valuable for helping to inform decisions and formulate strategies for promoting sustainable agriculture.
Item Type: | Article |
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Article Type: | Article |
Uncontrolled Keywords: | Agriculture resilience; Sustainable development goals (SDGs); Risk management; Agricultural policy; GIS |
Subjects: | S Agriculture > S Agriculture (General) S Agriculture > S Agriculture (General) > S560 Farm Economics S Agriculture > S Agriculture (General) > S589.75 Agriculture and the environment |
Divisions: | Schools and Research Institutes > Countryside and Community Research Institute |
Research Priority Areas: | Place, Environment and Community |
Depositing User: | Sofia Raseta |
Date Deposited: | 13 May 2022 13:17 |
Last Modified: | 09 Oct 2023 11:17 |
URI: | https://eprints.glos.ac.uk/id/eprint/11084 |
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