While most work focusing on emotional solidarity has examined its antecedents, this work highlights outcomes of the construct in the form of visitor expenditures among nature tourists. During the peak tourist season for birders and other outdoor enthusiasts in the Lower Rio Grande Valley of South Texas, on-site survey data were collected from individuals visiting key nature tourist attractions. In examining the relationship between emotional solidarity and visitor expenditures, results revealed that five of the eight multiple regression models were significant. Of the three Emotional Solidarity Scale (ESS) factors used to predict expenditures, feeling welcomed explained the most variance. This work provides continued support for extending Durkheim's model of emotional solidarity by including expenditures as an outcome of the construct.

The potential influence of eight decisions made by researchers that are unlikely to be reported in economic impact analyses are identified and empirically tested. The data set was comprised of studies undertaken at nine state parks in Texas. Four of the decisions were categorized as being potentially relatively malignant in that they used obviously inappropriate procedures and were likely to substantially exaggerate expenditure estimates: using group weighting rather than individual weighting; omitting a measure of the extent to which visiting a park was the primary trip purpose; retaining outlier values; and aggregating different visitor segments. The four relatively benign decisions were: convenience or probability samples; managers' or samples' estimates of number of nonlocal visitors; treating nonresponses as missing data or as zero expenditures; and sector selection for assignment of government expenditures.

The conceptual arguments and empirical analyses in the article illustrate that when tourism organizations replicate economic impact analyses and/or compare their results with those reported by others, perceived differences often are specious because they are attributable to artifacts in multiplier measurement as well as to changes in the structure of host economies. Four sources of variation in multipliers that may result in specious comparisons are addressed: differences in specifications of the three main types of models used in economic impact analyses, semantic and definition confusion, changes in communities' economic structures, and calibration and decision rule changes.

Abstract. The objective of this study was to estimate the economic impact of the sugarcane aphid (SCA) outbreak in the Rio Grande Valley (RGV), Texas. Local producers were surveyed to gather detailed information about crop production and pest control practices. Collected data were used to estimate the reduction in profit associated with the SCA infestation, as well as the monetary value of the prevented loss attributed to control efforts. Sorghum industry losses were then used to assess the overall economic impact of the SCA outbreak in the RGV economy.