Natural resources damages from Chernobyl

Conclusion In this note, we have reported a simple attempt to examine the stability over time of willingness-to-pay measures. By running a simple regression equation, we are able to explain why the average willingness to pay fell between two consecutively hunting seasons. The most important explanation is that hunting in the second hunting season was affected by the nuclear radiation accident at Chernobyl. Almost 10 percent of the hunters stated that their willingness to pay was affected due to the fact that their moose meat was contaminated. Since there are 24,000 moose hunters in the county of Västerbotten, we arrive at a yearly loss of about SEK 2 million for the county. Assuming that our figures apply also at the national level, Swedish moose hunters suffered a loss of almost SEK 30 million in the 1986 hunting season. If the same impact on hunters was felt for, say, 3 to 4 years, the present value of the loss caused by the Chernobyl accident could amount to over SEK 100 million (assuming a discount rate of 5 percent). This is a considerable amount, given that Swedish moose hunters constitute only a small fraction of all those who were affected by the Chernobyl accident.     

Commodity prices as payment vehicles in valuation experiments

Many contingent valuation experiments use commodity prices as the payment vehicle. In this note it is shown, in general, that this approach does not allow the investigator to extract the respondent's willingness to pay. However, it is also shown how the valuation question can be formulated so as to yield a commodity price payment vehicle which is equivalent to a lump sum payment.The idea for this paper came while teaching the Royal Economic Society Easter School in Birmingham (March/April 1995). I am grateful to my students for stimulating discussions and comments on the subject. Kerry Smith provided me with (as always) insightful comments on an     

Cost-benefit rules in general disequilibrium

The consequences of imbalances in markets for goods and factors are the prime issues in many project evaluations. This is so in evaluations of measures like migration, manpower training programmes and plant locations. In the present paper a general disequilibrium model of a small open economy is used to generate evaluation rules to be used when markets do not clear through price adjustments.