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- W189080010 abstract "As rural areas struggle to adjust to the changing U.S. economy with increasingunemployment, falling wages, and constrained capital markets, economic developers lookfor strategies to promote economic expansion. Development strategies identifying andevaluating county comparative advantage may offer the promise of economic growth inrural areas. This thesis develops two models whereby county comparative advantage canbe empirically identified and evaluated. The study first examines ethanol plant locationdeterminants at the county level, in the contiguous forty-eight United States, the secondidentified industry clusters within Tennessee at the county level and estimated the extentto which these clusters contributed to growth in labor productivity.In the first study, the location of grain-based ethanol plants is determined byinfrastructure, product and input markets, fiscal attributes of local communities, and stateand federal incentives. Bivariate probit regression along with spatial clustering methodsare used to analyze investment activity of ethanol plants at the county level for thecontiguous 48 United States from 2000-2007. The ability of a county to supply feedstock,and the absence of previously established ethanol plants, dominated the site selectiondecision between 2000 and 2007. Other factors, such as access to railroads or navigablerivers, product markets, low worker wages, producer credit and excise tax incentives, andmethyl tertiary-butyl ether bans gave some counties comparative advantage with respectto attracting grain-based ethanol plant investment.The second study identified industry clusters or economic linkages betweenpurchasers and suppliers, at the county and regional level for 447 economic sectors inTennessee. Information about value-added activities or innovative potential is possible bydetermining the sector composition of the value chains defining an industry cluster. Thecluster analysis was extended to estimate the extent to which specific value chainscontributed to economic growth between 2001 and 2006 across Tennessee’s 95 countiesusing an econometric model. County and regional comparative advantage wasdetermined by testing whether the presence of a particular value chain in a given countyincreased labor productivity during this period." @default.
- W189080010 created "2016-06-24" @default.
- W189080010 creator A5082859720 @default.
- W189080010 date "2008-01-01" @default.
- W189080010 modified "2023-09-24" @default.
- W189080010 title "Identifying Rural Comparative Advantage: Ethanol Plant Location Determinants and Tennessee Value Chains" @default.
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