University of Georgia or Agribus rf i mic Develo no ss and Eco ne College of Agricultural and Environmental Sciences ent Cent e pm The Economic Impact of Equipment Dealers In Georgia Prepared by the Center for Agribusiness and Economic Development The University of Georgia John C. McKissick, Phd, Professor and Coordinator and David Waters, Research Assistant Special Report # CR-03-02 February, 2003 The University of Georgia’s Center for Agribusiness and Economic Development was requested by the Southeastern Equipment Dealers Association to study the local and state economic impact of equipment dealers. These types of businesses impact the local and state economy on two levels. Through the business, itself, employment and taxes are generated directly by each business, and indirectly, by the business conducted through other companies suppling products or services to the equipment dealer. An impact analysis through an economic tool called an input/output model can capture both the direct and indirect effects of such businesses. An input/output model is simply a model of all the businesses and households in an economy and how they interact with other businesses and households in the economy. The input-output model, IMPLAN (IMpact analysis for PLANning) was utilized for this project. IMPLAN has been validated and tested throughout the U.S. and represents the most widely used input/output model available. IMPLAN is a complete model of a local economy down to the county level, and thus IMPLAN can be used to predict the effects of a new or existing venture on output (sales), employment and tax revenue for a state, region or county. Input-output models work by separating the economy into various sectors, such as agriculture, construction, manufacturing and so on. The model can capture how a change in one industry (for example, equipment dealers) will change output and employment in other industries. The changes in the initial industry are labeled direct effects, and the changes in the other industries are called indirect effects. 2 Ideally, an impact analysis would be completed for each equipment dealer in the state in order to show total impact of the dealers in the counties where they operate. Since this was not practical, data was collected from three actual dealers in the state representing three sizes of operations and operating in South, Middle and North Georgia. A detailed impact analysis was completed for each dealer. First, the relevant impacts were estimated for the county in which the dealer operated. This was accomplished by considering only the dealer in the county and how the dealer interacted with other businesses within the county boundary. Secondly, an impact analysis was completed for the impact on the state as a whole. Obviously, a larger set of businesses are impacted when considering the state rather than only the county. The overall objective of the analysis was to calculate the direct and indirect economic impacts of three specific size dealers operating in different locations of the state so that general conclusions can be made about the impacts of other equipment dealers located in the state. Table 1 indicates the economic impact results of each size operation on the county in which they operate. The exact county of operation is not named so that the dealer’s individual operating data may not be identified. The equipment dealer sales from the past year represent the direct economic community impact of goods and services produced. Direct employment is the number of full-time employees each dealer has on the payroll. The direct production of goods and services in the county causes other businesses to benefit as the dealer buys some goods and services from local companies. These businesses then buy other goods and services, and thus employ some labor because of the equipment dealer’s business. This is the so-called ripple or spinoff effect of the dollars passing through the local economy, resulting in indirect economic benefit to the community. Such indirect effects can only be identified where the specific businesses and business relationships have been modeled and are unique to any one economy. Since the area of analysis here is the county, the results are unique to the set of businesses located in the home county from which the local dealer buys goods and services. Table 1. Total Yearly Home County Economic Impacts of Equipment Dealers Sales of Goods and Services Location Direct Indirect Employment Direct Indirect Tax Revenue Generated Local/State Federal Middle GA $4,700,000 $1,774,713 12 22 $158,216 $468,596 North GA $7,600,000 $2,450,248 17 28 $154,533 $261,728 South GA $32,000,000 $8,688,940 30 117 $863,939 $1,593,004 In order to explain the impact results, refer to the small sales dealer located in Middle Georgia in Table 1. The results reveal that the small dealer had sales totaling $4.7 million last year. Of these sales, the equipment itself represented the greatest cost the dealer paid to other businesses. In most cases, the equipment sold is not manufactured in the dealer’s home county. So these dollars are “exported” to wherever the equipment 3 sold is manufactured, thus stimulating the economy at that location. However, Table 1 does indicate that the total indirect impact of the goods and services the small dealer buys locally produces a total of another $1.7 million in the home county. Such services as legal, accounting, trucking, printing, advertising, utilities and maintenance /cleaning may be examples of the kinds of goods and services purchased locally by the dealer. Because these goods and services are purchased, the business from which the purchases are made hires people and buys other goods/services locally. The employees of these businesses also buy goods and services locally because of the initial purchases of the dealer. In summary, if the local small scale dealer is removed from its Middle Georgia county home, the county will not only have an immediate drop of $4.7 million in economic output, but will eventually loose another $1.7 million as the dealer no longer makes purchases from the county’s other businesses to run the dealership. The county’s employment not only would drop by the 12 individuals employed by the dealership, but eventually by another 22 from the businesses dependent on the local dealer for purchases. The loss of jobs and sales results in a loss of local and state tax revenue from all sources of about $252 thousand per year. Our model is unable to distinguish between which taxes are collected locally and those collected at the state level. So these two are lumped together as state and local tax revenues. Table 2 summarizes the impacts of each dealer per million dollars of sales. The average row of Table 2 can be used to generalize the county analysis to other dealers located in other counties. For instance, the average of the actual impacts of the three size dealers located in three different parts of the state indicates that each 1 million dollars of sales results in a direct impact of 1 million dollars (of course) and an additional $324 thousand of goods and services per year in the dealer’s home county. The sampled dealers employ 2 people for each million dollars of sales, and the associated and impacted business in the county employ another 4 people for each million dollars of yearly sales. State and local tax revenues are found to be about $27 thousand per each million dollars of dealer sales. Table 2. Average Yearly Home County Impacts of Three Sample Georgia\ Equipment Dealers Goods and Services Sales Generated Per Million Dollars of Dealer Sales Direct Average of All Sampled Dealers $1,000,00 0 Employment Generated Per Million Dollars of Dealer Sales Indirect $323,843 Direct 2 Indirect 4 Tax Revenue Generated Per Million Dollars of Dealer Sales Local/State $26,988 Federal $184,731 4 Tables 3 and 4 repeat the impact analysis, but the results are calculated for the entire Georgia economy. The direct results do not change as this represents the dealer’s actual sales and employment in each case. However, the indirect results do change as the analysis is no longer limited to the interaction of businesses and households within the dealer’s county alone. In some cases for instance, equipment sold by the sample dealer will be manufactured somewhere in the state. If this is the case, the dealer’s sale is assumed to stimulate the manufacturing plant as long as it is located within the state’s borders. In a like manner, any other type of business that the equipment dealer may purchase from is included in the state economy analysis. As in the preceding analysis, the ripple effects of the stimulated business are also included. For example, the Georgia equipment manufacturer that has purchases from the sampled dealer hires workers and buys manufacturing inputs from other Georgia firms as a result of the equipment dealer’s sales. This further stimulates the state’s economy. Table 3. Total Yearly State Economic Impacts of Equipment Dealers Sales of Goods and Services Location Direct Indirect Employment Direct Tax Revenue Generated Indirect Local/State Federal Middle GA $4,700,000 $3,353,769 12 31 $443,546 $541,467 North GA $7,600,000 $8,336,103 17 78 $267,337 $831,703 South GA $32,000,000 $35,312,252 30 330 $1,125,925 $3,413,450 Table 4 indicates the average impact on Geogia’s economy from the sample firms. Each million dollars of sales from the three firms was found to be indirectly responsible for producing another $971 thousand dollars of goods and services and 9 other jobs somewhere in Georgia. The state and local tax revenues were found to change by about $55 thousand for each million dollars of equipment sales. Table 4. Average Yearly State Impacts of Three Sample Georgia Equipment Dealers Goods and Services Sales Generated Per Million Dollars of Dealer Sales Direct Average of All Sampled Dealers $1,000,000 Employment Generated Per Million Dollars of Dealer Sales Indirect $971,310 Direct 2 Indirect 9 Tax Revenue Generated Per Million Dollars of Dealer Sales Local/State $54,911 Federal $119,295 5 Summary This report assesses the impact of three differing size equipment dealers located in different sections of the state. Actual dealer yearly sales and employment data was obtained. The input/output model IMPLAN was employed to measure the indirect economic effects of the three dealers on their county’s economy as well as on the state’s economy. The actual impacts were calculated for each dealer in the sample and averages of the sample impacts are shown so that readers may generalize to equipment dealers not contained in the sample. The results show equipment dealers to be an important segment of the local and state economy. The analysis assumes that all dealer sales are strictly tied to the dealer. This represents a much more restrictive assumption for the state analysis than the county analysis as the closing of a dealer in one area of the state may represent lost business to the county, but not necessarily to the state. The lost dealer’s sales in one part of the state may represent gains to another part of the state or even outside the state. Dealers outside the state may still represent markets for equipment input suppliers within the state. Thus, the state analysis must be interpreted with these facts in mind.