Defining 'local area' for assessing impact of offshore renewables and other marine developments: guidance principles
These guidance principles provide a first step in developing an appropriate approach for defining the impact area on land for large industrial developments (such as offshore windfarms) at sea. The principles are based on a review of literature and practice described in the accompanying report.
Footnotes
1. Dentinho, T., Ramos, P., & Hewings, G. (2016). Integration of a Regional Input-output Model With a Spatial Interaction Model For Localities. An Application to the Azores. Revista Portuguesa de Estudos Regionais, (42), 51-70
2. Marine Scotland and Sciencewise: A two way conversation with the people of Scotland on the social impact of offshore renewables, Collingwood Environmental Planning Limited in partnership with Pidgin Perfect, Nereus Environmental and University of Strathclyde; 2021
3. Rudolph, D. (2014) 'The Resurgent conflict between offshore wind farms and tourism: Underlying storylines', The Scottish Geographical Journal, 130(3): 168-187
4. Bhattacharjee A, Castro E, Maiti T, Marques J. 2016. Endogenous spatial regression and delineation of submarkets: A new framework with application to housing markets. Journal of Applied Econometrics, 31(1), 32-57
5. Pryce, G. 2013. Housing submarkets and the lattice of substitution. Urban Studies 50: 2682–2699
6. Aitken, M., Haggett, C. and Rudolph, D. (2016). Practices and rationale of community engagement with wind farms: awareness raising, consultation, empowerment. Planning Theory and Practice, 17(4), 557-576
7. Rudolph, D., Haggett, C., and Aitken, M. (2017) 'Community benefits from offshore renewables: The relationship between different understandings of impact, community, and benefit', Environment and Planning C: Politics and Space, 36(1): 92-117
8. Bhattacharjee A, Maiti T, Petrie D. 2014. General equilibrium effects of spatial structure: Health outcomes and health behaviours in Scotland. Regional Science and Urban Economics, 49, 286-297
9. Pryce, G. 2013. Housing submarkets and the lattice of substitution. Urban Studies 50: 2682–2699
10. Bhattacharjee A, Castro E, Maiti T, Marques J. 2016. Endogenous spatial regression and delineation of submarkets: A new framework with application to housing markets. Journal of Applied Econometrics, 31(1), 32-57
11. This data can be accessed via https://scotland.shinyapps.io/is-community-planning-outcomes-profile/
Contact
Email: ScotMER@gov.scot
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