This paper reports a choice experiment used to estimate the value of street trees in the city center of Lodz, Poland, and the broader context of how valuation results helped to improve governance of urban ecosystem services in this city. Based on a simplified inventory of trees, we prepared a set of hypothetical programs which put varying emphasis on the different ways to increase the numbers of trees, along with different levels of a hypothetical tax that would have to be paid by respondents to implement a given program. Our study indicated that the 351 surveyed Lodz residents were willing to pay the highest price for greening those streets where currently there are few or no trees and confirmed the general importance of planting trees. The results provided an argument in the debate on the new development strategy for the city and helped to promote the concept of ecosystem services.

This study illustrates how respondents’ stated choices (the discrete choice experiment method) combined with the random utility framework can be used to model preferences for higher education. The flexibility offered by stated preference data circumvents limitations of other approaches, and allows quantifying young people’ preferences for selected attributes of higher education programs that are typically highly correlated in revealed preference data. The empirical study presented here is based on a survey of 20,000 Polish respondents aged 18–30, who stated their preferences for higher education programs in carefully prepared hypothetical choice situations. The attributes considered include tuition fee, expected salary after graduation, quality of institution, interest in the field of study, distance from home, and mode of study. Using random parameters and latent class mixed multinomial logit models, young peoples’ preferences are formally described, and the financial trade-offs they are willing to make are identified (willingness to pay for specific attribute levels in terms of increased tuition fees or expected salary after graduation). Accounting for respondents’ observed and unobserved preference heterogeneity addresses a few research questions related to, for example, distinct preferences of students with parents who never attained tertiary education, students from lower socio-economic groups, or students of a particular gender. Overall, the usefulness of stated preference methods as a tool for exploring economic preferences is demonstrated, allowing for better understanding the determinants of choices, forecasting, and designing the services offered by higher education institutions in an optimal way.

Forests play a fundamental role in the economy, in climate change mitigation and in halting the loss of biodiversity. The economic value of goods and services provided to the societies by forests, including forest-based recreation, is highly dependent on the way in which forests are managed. On a European scale, forests are diverse and managed in many ways. Yet there has been no large-scale assessment to date of the economic value of forests recreation across Europe. In this paper we systematically apply stated and revealed preference-based valuation methods to investigate public preferences for forest visits in ten European countries (Austria, Belarus, Czech Republic, Denmark, France, Germany, Poland, Slovakia, Scotland, Switzerland). We observe substantial recreational value measured by the consumer surplus ranging from €55 to €648 per person per year (PPP adjusted, 2017). Compared to the gross value added of forestry and timber production, gross recreational benefits are, except for Belarus, on par or larger. Additionally, we find that forests of particular characteristics – more complex forest structures and forests with taller and older trees – are preferred and generate higher recreational values. These results provide a robust basis for evaluating the societal consequences of future forest management policies in Europe and the design of its forest landscapes.

Stated choice (SC) surveys are a key tool for studying travel behaviour and are used to inform policy decisions in many countries. Recently, the best-worst (BW) variant of SC has rapidly increased in popularity in fields as diverse as transport, marketing and health research. A key argument for its implementation has been that it is perceived to be easier for respondents to identify the best and the worst alternative in a choice set compared to identifying the second- or even third best. For elicitation formats asking respondents to consecutively identify the first, second and third best (etc.) alternative, labelled here as repeated best stages, it is well known that utility and scale parameters are generally not stable across the stages. Joint analysis of the responses to each stage may increase the efficiency of the utility and willingness-to-pay parameters (i.e. smaller standard errors), but incorrect inferences may be made if these parameters are not stable across the stages. This paper tests the stability of utility parameters for the repeated BW and one-off BW format. Using data from three different studies, we show that, regardless of the dataset and elicitation format used, the obtained utility parameters and willingness to pay estimates are not stable across stages. The results thereby question the use of BW data in applied work aimed at forecasting and understanding first (best) choices. Our findings thereby contradict recent discussions about potentially beneficial framing effects in BW surveys. The unique presence of corresponding data from a repeated best and repeated BW exercise in one survey highlights the observed rank-orders are highly consistent across the two elicitation formats and that any differences in marginal willingness to pay estimates can be attributed to the imposed econometric model rather than to differences in the behaviour of respondents.

The Białowieża Forest is a contested transboundary forest massif in Poland and Belarus. Reflecting on transitions from value chains built on sustained yield forestry to ecotourism, we pioneer documentation of how country-specific legacies shape preferences toward increased forest protection at the expense of wood production. For both countries, we used a quantitative ordered logit model based on questionnaires to Polish and Belarusian ecotourism business owners to, for the first time, empirically study drivers of their preferences toward different Białowieża Forest values, and we used qualitative data to identify attitudes toward the expansion of protected areas in the Białowieża Forest. Whilst Belarusian ecotourism business owners supported increased area protection, the opposite was true for their Polish counterparts. The proportion of foreign guests co-varied with support toward increased area protection. Conversely, local origin, size of hospitality business, and role of foresters as customers decreased interest in area protection. The qualitative data revealed that narratives against extended area protection were spread in Poland but not in Belarus. The conflict over the conservation of the Polish part of the Białowieża Forest involves actors and stakeholders with competing interests. A solution is that this remnant massif of the once widespread European temperate lowland forest becomes subject to a regional planning and zoning perspective. Encouraging multiple value chains and evidence-based collaborative learning are key components.