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Effects of Reservoir Aquatic Plant Management on Recreational Expenditures and Regional Economic Activity

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  • Bergstrom, John C.
  • Jeff Teasley, R.
  • Ken Cordell, H.
  • Souter, Ray
  • English, Donald B. K.

Abstract

Exotic aquatic plant management is a major concern for public reservoir management in many regions of the United States. A study was conducted to measure the effects of alternative aquatic plant management strategies on recreational expenditures and regional economic activity. The study area was Lake Guntersville, Alabama, and the local economy surrounding the lake. Lake Guntersville is one of the largest reservoirs in the Tennessee Valley Authority system. Results suggested that relatively moderate levels of aquatic plant control are associated with the highest levels of recreation-related economic effects on the economy surrounding Lake Guntersville.

Suggested Citation

  • Bergstrom, John C. & Jeff Teasley, R. & Ken Cordell, H. & Souter, Ray & English, Donald B. K., 1996. "Effects of Reservoir Aquatic Plant Management on Recreational Expenditures and Regional Economic Activity," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 28(2), pages 409-422, December.
    • Handle: RePEc:cup:jagaec:v:28:y:1996:i:02:p:409-422_00
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    1. Nancy E. Bockstael & Ivar E. Strand, Jr. & Kenneth E. McConnell & Firuzeh Arsanjani, 1990. "Sample Selection Bias in the Estimation of Recreation Demand Functions: An Application to Sportfishing," Land Economics, University of Wisconsin Press, vol. 66(1), pages 40-49.
    2. Souter, R.A. & Bowker, J.M., 1996. "A Note on Nonlinearity Bias and Dichotomous Choice CVM: Implications for Aggregate Benefits Estimation," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(1), pages 54-59, April.
    3. Souter, Ray A. & Bowker, James Michael, 1996. "A Note On Nonlinearity Bias And Dichotomous Choice Cvm: Implications For Aggregate Benefits Estimation," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(1), pages 1-6.
    4. John Loomis, 1993. "An investigation into the reliability of intended visitation behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(2), pages 183-191, April.
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    2. Devkota, Nirmala & Fannin, James Matthew & Paudel, Krishna P., 2006. "Economic Impact Estimation Using Bootstrap Samples Obtained From Internet And Intercept Survey Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21150, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Hoyos, David & Riera, Pere, 2013. "Convergent validity between revealed and stated recreation demand data: Some empirical evidence from the Basque Country, Spain," Journal of Forest Economics, Elsevier, vol. 19(3), pages 234-248.
    4. Chang Seung & Daniel Lew, 2013. "Accounting for variation in exogenous shocks in economic impact modeling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 711-730, December.
    5. English, Donald B.K., 2000. "A Simple Procedure for Generating Confidence Intervals in Tourist Spending Profiles and Resulting Economic Impacts," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 30(1), pages 1-16.
    6. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
    7. Deisentroth, Daniel B. & Loomis, John B. & Bond, Craig A., 2013. "Using Revealed Preference Behavioral Models to Correctly Account for Substitution Effects in Economic Impact Analysis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 43(2).

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