The Economic Value of the Saltmarsh Habitat in the UK Using Benefit Transfer: A Methodology-Consistent Meta-Analysis

Sara Kaffashi ()
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Sara Kaffashi: Department for Environment, Food and Rural Affairs, London SW1P 3JR, UK

Sustainability, 2025, vol. 17, issue 13, 1-22

Abstract: This study presents a comprehensive economic valuation of UK saltmarsh habitats, utilising a benefit transfer approach. The core of this research underscored the necessity for consistency in the selection of primary studies for meta-regression models (MRMs) to mitigate potential inaccuracies. A commodity-consistent, methodology-consistent meta-regression model was established based on the existing literature that only used the stated preference methods for saltmarsh valuation in the UK. This research is distinct in its concentration on UK-based studies, aiming to provide a valuation that is not only more reflective of the region-specific importance of these habitats but also contributes to the formulation of more informed policies. The results from the unweighted Ordinary Least Squares (OLS) model, which accounted for approximately 61% of the variance in LnWTPHA (logarithm of per hectare willingness to pay), were particularly revealing. These findings suggest a higher valuation for saltmarshes when a spectrum of benefits is presented for valuation purposes. Incorporating the economic valuation derived from this research, the estimated existence value of saltmarsh habitats in the UK stands at GBP 991 per hectare per year. These findings offer region-specific insights critical for formulating effective conservation strategies, emphasising balanced approaches that consider diverse saltmarsh sizes and socio-economic factors. The study’s UK-focused, consistent methodology and commodity and variable analysis provide policymakers and environmental managers with robust tools to ensure sustainable preservation of saltmarsh habitats.

Keywords: saltmarsh; meta-regression model; consistency; economic value (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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