The impacts of knowledge of the past on preferences for future landscape change
In this paper, we investigate whether people's knowledge of the past influences their preferences and values towards future landscape change. "Knowledge of the past" is one aspect of the information set held by individuals, and a well-established finding in economics is that changes in information can change preferences and values. The particular aspects of knowledge of the past we work with here are (i) awareness of past landuse, as represented by woodland cover and (ii) awareness of differing and sometimes contradictory literary impressions of this past landscape. The case studies used here relate to prospective changes in woodland cover in two UK national parks, the Lake District and the Trossachs. We find that people who are made aware that the landscape has changed over time, or that perceptions of the landscape have changed over time, are more likely to favour changes to the current landscape (are less likely to favour the status quo). Knowledge of the past therefore seems to have an impact on preferences for future landscapes. We also investigate the impacts on preferences of how "special", how "wild" and how "worked in" people perceive the landscapes of these two national parks to be.
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- G. D. Garrod & K. G. Willis, 1995. "Valuing The Benefits Of The South Downs Environmentally Sensitive Area," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(2), pages 160-173.
- Richard C. Ready & Ståle Navrud & RW. Richard Dubourg, 2001. "How Do Respondents with Uncertain Willingness to Pay Answer Contingent Valuation Questions?," Land Economics, University of Wisconsin Press, vol. 77(3), pages 315-326.
- Bengt Kristr�m, 1997. "Spike Models in Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1013-1023.
- Nick Hanley & Robert Wright & Vic Adamowicz, 1998. "Using Choice Experiments to Value the Environment," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 11(3), pages 413-428, April.
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