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Soil ecosystem services (ES) provide multiple benefits to human well-being, but the failure to appreciate them has led to soil degradation issues across the globe. Despite an increasing interest in the threats to soil resources, economic valuation in this context is limited. Importantly, most of the existing valuation studies do not account for the spatial distribution of benefits that soil ES provide to the population. In this study, we present the results of a choice experiment (CE) aimed at investigating spatial heterogeneity of attitudes and preferences towards soil conservation and soil ES. We explored spatial heterogeneity of both attitudes and welfare measures via GIS techniques. We found that citizens of the Veneto Region (Northeast Italy) generally have positive attitudes towards soil conservation. We also find positive willingness-to-pay (WTP) values for soil ES in most of the study area and a considerable degree of heterogeneity in the spatial taste distribution. Finally, our results suggest that respondents with pro-environmental attitudes display a higher WTP based on the geographic pattern of the distribution of WTP values and attitudinal scores across the area.
Luisa Eusse-Villa; Cristiano Franceschinis; Mara Thiene; Jürgen Meyerhoff; Alex McBratney; Damien Field. Attitudes and Preferences towards Soil-Based Ecosystem Services: How Do They Vary across Space? Sustainability 2021, 13, 8722 .
AMA StyleLuisa Eusse-Villa, Cristiano Franceschinis, Mara Thiene, Jürgen Meyerhoff, Alex McBratney, Damien Field. Attitudes and Preferences towards Soil-Based Ecosystem Services: How Do They Vary across Space? Sustainability. 2021; 13 (16):8722.
Chicago/Turabian StyleLuisa Eusse-Villa; Cristiano Franceschinis; Mara Thiene; Jürgen Meyerhoff; Alex McBratney; Damien Field. 2021. "Attitudes and Preferences towards Soil-Based Ecosystem Services: How Do They Vary across Space?" Sustainability 13, no. 16: 8722.
Congestion levels in protected areas can be predicted by destination choice models estimated from choice data. There is growing evidence of subjects’ inattention to attributes in choice experiments. We estimate an attribute non-attendance latent class–random parameters model (LC–RPL) that jointly handles inattention and preference heterogeneity. We use data from a choice experiment designed to elicit visitors’ preferences towards sustainable management of a protected area in the Italian Alps. Results show that the LC–RPL model produces improvements in model fit and reductions in the implied rate of inattention, as compared to traditional approaches. Implications of results for park management authorities are discussed.
Mara Thiene; Cristiano Franceschinis; Riccardo Scarpa. Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data. European Review of Agricultural Economics 2018, 46, 834 -861.
AMA StyleMara Thiene, Cristiano Franceschinis, Riccardo Scarpa. Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data. European Review of Agricultural Economics. 2018; 46 (5):834-861.
Chicago/Turabian StyleMara Thiene; Cristiano Franceschinis; Riccardo Scarpa. 2018. "Congestion management in protected areas: accounting for respondents’ inattention and preference heterogeneity in stated choice data." European Review of Agricultural Economics 46, no. 5: 834-861.
The management of conservation areas is a costly enterprise, especially vulnerable to budget cutting when austerity measures are being considered. Optimal spatial taxation dictates that tax-payers contribute proportionally to the benefits they receive. This paper provides a framework to derive spatially varied benefit estimates for ecosystem services produced in Natura 2000 protected areas of Lombardy (Italy). These may be used as a framework for spatially optimised taxation to improve the efficiency of public funding. In the process we used non-market valuation techniques, as well as benefit functions’ transfer.
Mauro Masiero; Cristiano Franceschinis; Stefania Mattea; Mara Thiene; Davide Pettenella; Riccardo Scarpa. Ecosystem services’ values and improved revenue collection for regional protected areas. Ecosystem Services 2018, 34, 136 -153.
AMA StyleMauro Masiero, Cristiano Franceschinis, Stefania Mattea, Mara Thiene, Davide Pettenella, Riccardo Scarpa. Ecosystem services’ values and improved revenue collection for regional protected areas. Ecosystem Services. 2018; 34 ():136-153.
Chicago/Turabian StyleMauro Masiero; Cristiano Franceschinis; Stefania Mattea; Mara Thiene; Davide Pettenella; Riccardo Scarpa. 2018. "Ecosystem services’ values and improved revenue collection for regional protected areas." Ecosystem Services 34, no. : 136-153.
Stefania Mattea; Cristiano Franceschinis; Riccardo Scarpa; Mara Thiene. Valuing landslide risk reduction programs in the Italian Alps: The effect of visual information on preference stability. Land Use Policy 2016, 59, 176 -184.
AMA StyleStefania Mattea, Cristiano Franceschinis, Riccardo Scarpa, Mara Thiene. Valuing landslide risk reduction programs in the Italian Alps: The effect of visual information on preference stability. Land Use Policy. 2016; 59 ():176-184.
Chicago/Turabian StyleStefania Mattea; Cristiano Franceschinis; Riccardo Scarpa; Mara Thiene. 2016. "Valuing landslide risk reduction programs in the Italian Alps: The effect of visual information on preference stability." Land Use Policy 59, no. : 176-184.