Problems in valuing the benefits of biodiversity protection

This paper considers two problems in valuing the benefits of biodiversity protection. These are, firstly, that preferences for biodiversity protection may be lexicographic rather than utilitarian. The more individuals for whom this is true, the less is cost-benefit analysis validated as a means of decision making for biodiversity protection, since lexicographic preferences are incompatible with the Kaldor-Hicks Compensation Test. Secondly, people may be poorly informed about the meaning of biodiversity, complicating the use of contingent valuation as a means of measuring preservation benefits. This paper first discusses the meaning of biodiversity, and trends in diversity over time. We offer some empirical evidence with regard to lexicographic preferences; consider the implications of having poorly-informed consumers; and then report the results of a contingent valuation study of biodiversity protection with varying levels of information. We find that willingness to pay for biodiversity protection increases with the level of information provided.We thank David Pearce, participants at a seminar at University College London, and two referees for comments on earlier versions of this paper.     

Choice modeling at the “market stall”: Individual versus collective interest in environmental valuation

The market stall, or valuation workshop, has recently been proposed as a way of addressing some of the limitations of conventional stated preference analysis. In this paper, we attempt to combine a participatory technique similar to the “citizens' jury” with choice modelling, a stated preference technique increasingly being applied in environmental economics. Our focus is on how changes in the context of decision-making (between choices made in isolation and those made in a group setting, and between choices made on individual well being versus collective criteria) produce differences in estimated welfare measures. The empirical context used is that of water quality improvements under the Water Framework Directive, the most significant reform in water legislation in the European Union for many years. We find that the choice experiment format can be successfully implemented in a valuation workshop and that moving from individual to collective choice produces, in this instance, a rather interesting change in both values and preferences which depends on the respondent's interests.     

Creating Backward Linkages from Multinationals: Is there a Role for Financial Incentives?

We investigate whether government subsidies encourage foreign multinationals to create linkages with domestic suppliers. To this end we use a unique panel dataset of foreign multinationals located in Ireland for which we have exhaustive information on grant receipt. Our results indicate that while European and US foreign plants develop backward linkages independently of grant receipt, multinationals from other parts of the world respond positively to government support. Our results hold even when controlling for the possible endogeneity of grants and the boundedness of the linkage variable. We conclude that governments should not apply a “one‐size‐fits‐all” approach to incentivizing foreign multinationals.     

Using Geographically Weighted Choice Models to Account for the Spatial Heterogeneity of Preferences

In this paper, we investigate the use of geographically weighted choice models for modelling spatially clustered preferences. We argue that this is a useful way of generating highly‐detailed spatial maps of willingness to pay for environmental conservation, given the costs of collecting data. The data used in this study come from a discrete choice experiment survey of public preferences for the implementation of a new national forest management and protection programme in Poland. We combine these with high‐resolution spatial data related to local forest characteristics. Using locally estimated discrete choice models we obtain location‐specific estimates of willingness to pay (WTP). Variation in these estimates is explained by characteristics of the forests close to where respondents live. These results are compared with those obtained from a more typical, two stage procedure which uses Bayesian posterior means of the mixed logit model random parameters to calculate location‐specific estimates of WTP. We find that there are indeed strong spatial patterns to the benefits of changes to the management to national forests. People living in areas with more species‐rich forests and those living nearer bigger areas of mixed forests have significantly different WTP values than those living in other locations. This kind of information potentially enables a better distributional analysis of the gains and losses from changes to natural resource management, and better targeting of investments in forest quality.     

Go climb a mountain: an application of recreation demand modelling to rock climbing in Scotland

In this paper, we apply random utility modelling techniques to rock‐climbing in Scotland. Attributes relevant to choices over rock‐climbing sites were identified from focus groups with climbers, along with a categorisation of principal climbing areas. A survey of climbers yielded 267 responses, which were then used as the basis for modelling. We compare a standard multi‐nominal logit model with a random parameters approach, and look at seasonal differences in behaviour, and at the implications of different treatments of travel time. The random utility models showed that most of the attributes selected were significant determinants of choice. Welfare estimates of changes in site attributes are presented, which are relevant to policy choices currently facing land managers.     

South–South FDI: is it really different?

We compare the performance of Northern and Southern multinationals in Sub-Saharan Africa, and contrast it with local firms in the host country. Employing unique firm level data for 19 Sub-Saharan African countries, we show that firms receiving FDI outperform domestic ones, while the origin of the foreign investor is of minor importance. We use three different definitions of “South” to compare Northern and Southern FDI. Overall, we do not find strong differences in terms of firm productivity growth between Northern and Southern FDI, irrespective of how the latter is defined. However, we find that employment growth is generally higher for firms receiving FDI from other African investors as compared to Northern FDI, and they also receive more technology transfer from their parent company abroad.