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Three essays on environmental and resource economics

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  • Meyer, Kevin Michael

Abstract

Environmental issues in modern day Iowa are a perfect example of the indirect consequences of exploiting natural resources. Over 12,000 years ago, glaciers left the state with rich and fertile soil, perfect for agriculture. Over the course of more than one hundred years, Iowa's landscape has been cleared and drained to gain access to this valuable farmland. While the economic benefits of agriculture are clear, it is important to understand the environmental consequences of this transformation. This dissertation uses economic tools and analysis to investigate three environmental and resource issues related to the complex interplay between Iowa agriculture and the environment.The first chapter examines the relationship between an important adaptive tool, tile drainage, and climate. Tile drainage is largely responsible for transforming Iowa from mostly wetlands into prime farmland. It fundamentally changes the relationship between land, climate, and soil, by draining away excess water, allowing crops to grow. This chapter uses observations from over 800,000 farms across the U.S. to estimate the relationship between farmland value and climate while explicitly incorporating tile drainage. We find fundamental differences in the relationship between tile drained and non-tile drained land, which has not been accounted for in previous research. Using climate projections, we estimate the impact of climate change on farmland and show how these estimates can be biased when tile drained and non-tile drained farms are pooled together.The second chapter looks at the relationship between land change and lake water quality. While most of Iowa's lakes are artificial, many are popular destinations for fishing, boating, swimming, and other recreational activities. But their close proximity to farmland results in high nutrient levels and decreased water quality, which can reduce recreational and ecosystem benefits. This chapter combines fifteen years of water quality measurements with satellite images of land use to estimate the impact of land use change on water quality. These estimates are used to assess the lake water quality impacts of the Renewable Fuel Policy, a government policy which has had a large impact on agriculture and land use in Iowa.The third chapter is concerned with the optimal management of the Iowa deer population through hunting licenses. Although not all species have benefited from the transformation of Iowa's landscape, the deer population has thrived due to a lack of predators and an abundant new food source in crops. While deer hunters enjoy a large population of deer, farmers and drivers face costs due to crop depredation and deer vehicle collisions, creating a complex management problem. This chapter uses the tools of dynamic programming to solve for an optimal policy that balances these opposing interests.Altering the natural landscape turned Iowa into one of the most productive farming regions in the world, but has also created the need to balance intensive farming practices with the impacts on the surrounding environment. The tools of economics provide an appealing framework to propose solutions to these problems. The goal of the following three chapters is to use these tools to shed some light on three such issues Iowa currently faces. The insight and results from this research will hopefully help inform future researchers and policymakers in Iowa and beyond.

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  • Meyer, Kevin Michael, 2017. "Three essays on environmental and resource economics," ISU General Staff Papers 201701010800006585, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201701010800006585
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    1. Kanlaya J. Barr & Bruce A. Babcock & Miguel A. Carriquiry & Andre M. Nassar & Leila Harfuch, 2011. "Agricultural Land Elasticities in the United States and Brazil," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(3), pages 449-462.
    2. Anthony C. Fisher & W. Michael Hanemann & Michael J. Roberts & Wolfram Schlenker, 2012. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather: Comment," American Economic Review, American Economic Association, vol. 102(7), pages 3749-3760, December.
    3. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
    4. Schlenker, Wolfram & Hanemann, W Michael & Fisher, Anthony C, 2007. "Water Availability, Degree Days, and the Potential Impact of Climate Change on Irrigated Agriculture in California," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt8q8309qn, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Emanuele Massetti & Robert Mendelsohn, 2011. "Estimating Ricardian Models With Panel Data," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 301-319.
    6. James J. Heckman, 1977. "Sample Selection Bias As a Specification Error (with an Application to the Estimation of Labor Supply Functions)," NBER Working Papers 0172, National Bureau of Economic Research, Inc.
    7. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    8. Auffhammer, Maximilian & Schlenker, Wolfram, 2014. "Empirical studies on agricultural impacts and adaptation," Energy Economics, Elsevier, vol. 46(C), pages 555-561.
    9. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    10. Wendong Zhang & Cynthia J. Nickerson, 2015. "Housing Market Bust and Farmland Values: Identifying the Changing Influence of Proximity to Urban Centers," Land Economics, University of Wisconsin Press, vol. 91(4), pages 605-626.
    11. Marshall Burke & Kyle Emerick, 2016. "Adaptation to Climate Change: Evidence from US Agriculture," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 106-140, August.
    12. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    13. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2005. "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," American Economic Review, American Economic Association, vol. 95(1), pages 395-406, March.
    14. Kubis, Alexander & Schneider, Lutz, 2012. "Human Capital Mobility and Convergence – A Spatial Dynamic Panel Model of the German Regions," IWH Discussion Papers 9/2012, Halle Institute for Economic Research (IWH).
    15. Huang, Haixiao & Khanna, Madhu, 2010. "An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61527, Agricultural and Applied Economics Association.
    16. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    17. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    18. Michelle J. Reinsborough, 2003. "A Ricardian model of climate change in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(1), pages 21-40, March.
    19. S. S. Rabotyagov & C. L. Kling & P. W. Gassman & N. N. Rabalais & R. E. Turner, 2014. "The Economics of Dead Zones: Causes, Impacts, Policy Challenges, and a Model of the Gulf of Mexico Hypoxic Zone," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 58-79, January.
    20. Kurukulasuriya, Pradeep & Mendelsohn, Robert, 2008. "A Ricardian analysis of the impact of climate change on African cropland," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(1), pages 1-23, March.
    21. Samuel Evans & Matthew Potts, 2015. "Effect of Agricultural Commodity Prices on Species Abundance of US Grassland Birds," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 549-565, November.
    22. Wolfram Schlenker & Michael J. Roberts, 2006. "Nonlinear Effects of Weather on Corn Yields ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(3), pages 391-398.
    23. Daniel Rondeau & Erwin Bulte, 2007. "Wildlife Damage and Agriculture: A Dynamic Analysis of Compensation Schemes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 490-507.
    24. Catherine Hausman & Maximilian Auffhammer & Peter Berck, 2012. "Farm Acreage Shocks and Crop Prices: An SVAR Approach to Understanding the Impacts of Biofuels," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(1), pages 117-136, September.
    25. Burke, M. & Craxton, M. & Kolstad, C.D. & Onda, C. & Allcott, H. & Baker, E. & Barrage, L. & Carson, R. & Gillingham, K. & Graff-Zivin, J. & Greenstone, M. & Hallegatte, S. & Hanemann, W.M. & Heal, G., 2016. "Opportunities for advances in climate change economics," ISU General Staff Papers 3565, Iowa State University, Department of Economics.
    26. Barr, Kanlaya Jintanakul, 2011. "Agricultural Land Elasticities in the United States and Brazil," Staff General Research Papers Archive 34893, Iowa State University, Department of Economics.
    27. Daniel Rondeau & Jon M. Conrad, 2003. "Managing Urban Deer," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 266-281.
    28. Yue Jin Shi & Timothy T. Phipps & Dale Colyer, 1997. "Agricultural Land Values under Urbanizing Influences," Land Economics, University of Wisconsin Press, vol. 73(1), pages 90-100.
    29. Mario J. Miranda & Paul L. Fackler, 2004. "Applied Computational Economics and Finance," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262633094, December.
    30. Keith, John E. & Lyon, Kenneth S., 1985. "Valuing Wildlife Management: A Utah Deer Herd," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(2), pages 1-7, December.
    31. Michelle J. Reinsborough, 2003. "A Ricardian model of climate change in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 36(1), pages 21-40, February.
    32. Abul Maala Tanvir Hussain & John Tschirhart, 2010. "Optimal Harvest Licensing When Harvest Success Is Uncertain," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 125-140.
    33. Maximilian Auffhammer & Solomon M. Hsiang & Wolfram Schlenker & Adam Sobel, 2013. "Using Weather Data and Climate Model Output in Economic Analyses of Climate Change," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(2), pages 181-198, July.
    34. Pradeep Kurukulasuriya & Namrata Kala & Robert Mendelsohn, 2011. "Adaptation And Climate Change Impacts: A Structural Ricardian Model Of Irrigation And Farm Income In Africa," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 149-174.
    35. S. Niggol Seo & Robert Mendelsohn, 2008. "Measuring impacts and adaptations to climate change: a structural Ricardian model of African livestock management-super-1," Agricultural Economics, International Association of Agricultural Economists, vol. 38(2), pages 151-165, March.
    36. Thomas Chatzopoulos & Christian Lippert, 2016. "Endogenous farm-type selection, endogenous irrigation, and spatial effects in Ricardian models of climate change," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 43(2), pages 217-235.
    37. Joseph Cooper, 1993. "A bioeconomic model for estimating the optimal level of deer and tag sales," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(6), pages 563-579, December.
    38. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    39. Massetti, Emanuele & Mendelsohn, Robert & Chonabayashi, Shun, 2016. "How well do degree days over the growing season capture the effect of climate on farmland values?," Energy Economics, Elsevier, vol. 60(C), pages 144-150.
    40. Burke, M & Craxton, M & Kolstad, CD & Onda, C & Allcott, H & Baker, E & Barrage, L & Carson, R & Gillingham, K & Graf-Zivin, J & Greenstone, M & Hallegatte, S & Hanemann, WM & Heal, G & Hsiang, S & Jo, 2016. "Opportunities for advances in climate change economics," University of California at Santa Barbara, Recent Works in Economics qt4tc5d9pb, Department of Economics, UC Santa Barbara.
    41. Schwabe, Kurt A. & Schuhmann, Peter W. & Tonkovich, M., 2002. "A Dynamic Exercise In Reducing Deer-Vehicle Collisions: Management Through Vehicle Mitigation Techniques And Hunting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-20, July.
    42. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    43. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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