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and acknowledgment of multiple forms of economy in a geographical entity. The measures suggested <br />here focus on diversity indices, such as the Hachman Index, which uses weighted location quotients.z <br />Two categories of items not captured comprehensively in these metrics merit conversation as points <br />for future research and possible student projects. One category is informal labor characterized by non - <br />market transactions and alternative economies, which are difficult but possible to assess in a locality. <br />Due to the limited time and resources for this initial research, the metrics included here focus primarily <br />on more formal labor, with only a few measures of "alternative economies," such as the presence of co- <br />operatives and Community Supported Agriculture arrangements (Gibson- Graham, 2008). <br />The second category not captured here is a measure of inter - industrial linkages, or formal and <br />informal interactions between industries. Wagner and Deller suggest that an Input- Output analysis <br />completed using the IMPLAN program could be used to determine inter - industrial linkages between the <br />county and economic actors across the region (Wagner & Deller, 1993). This would require physical <br />access to the program, data for input, and knowledge of how to accurately calculate linkages. In light of <br />time and resource limitations it is not addressed here, but is suggested for consideration in future work. <br />2 The location quotient (LQ) is the measure of relative concentration of an industry, where an LQ of <br />greater than 1 indicates specialization in a particular industry. The formula for LQ is ((total employment <br />in local industry i / total local employment) / (national employment in industry i / total national <br />employment)]. The Hachman Index (HI) measures distribution in a given area. <br />