IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2411.10600.html
   My bibliography  Save this paper

Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy

Author

Listed:
  • Chad Fiechter
  • Binayak Kunwar
  • Guy Tchuente

Abstract

This study examines the impact of monetary factors on the conversion of farmland to renewable energy generation, specifically solar and wind, in the context of expanding U.S. energy production. We propose a new econometric method that accounts for the diverse circumstances of landowners, including their unordered alternative land use options, non-monetary benefits from farming, and the influence of local regulations. We demonstrate that identifying the cross elasticity of landowners' farming income in relation to the conversion of farmland to renewable energy requires an understanding of their preferences. By utilizing county legislation that we assume to be shaped by land-use preferences, we estimate the cross-elasticities of farming income. Our findings indicate that monetary incentives may only influence landowners' decisions in areas with potential for future residential development, underscoring the importance of considering both preferences and regulatory contexts.

Suggested Citation

  • Chad Fiechter & Binayak Kunwar & Guy Tchuente, 2024. "Monetary Incentives, Landowner Preferences: Estimating Cross-Elasticities in Farmland Conversion to Renewable Energy," Papers 2411.10600, arXiv.org.
  • Handle: RePEc:arx:papers:2411.10600
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2411.10600
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Swinton, Scott M. & Babcock, Bruce A. & James, Laura K. & Bandaru, Varaprasad, 2011. "Higher US crop prices trigger little area expansion so marginal land for biofuel crops is limited," Energy Policy, Elsevier, vol. 39(9), pages 5254-5258, September.
    2. Charlotte von Möllendorff & Heinz Welsch, 2017. "Measuring Renewable Energy Externalities: Evidence from Subjective Well-being Data," Land Economics, University of Wisconsin Press, vol. 93(1), pages 109-126.
    3. Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
    4. Miao, Ruiqing, 2013. "Impact of Ethanol Plants on Local Land Use Change," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(2), pages 1-19, August.
    5. Plantinga, Andrew J. & Ahn, Soeun, 2002. "Efficient Policies For Environmental Protection: An Econometric Analysis Of Incentives For Land Conversion And Retention," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(1), pages 1-18, July.
    6. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    7. Xin Zhao & Dominique Y van der Mensbrugghe & Roman M. Keeney & Wallace E. Tyner, 2021. "Improving the Way Land Use Change is Handled in Economic Models," World Scientific Book Chapters, in: Peter Dixon & Joseph Francois & Dominique van der Mensbrugghe (ed.), POLICY ANALYSIS AND MODELING OF THE GLOBAL ECONOMY A Festschrift Celebrating Thomas Hertel, chapter 15, pages 467-515, World Scientific Publishing Co. Pte. Ltd..
    8. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    9. Anthony D. Owen, 2004. "Environmental Externalities, Market Distortions and the Economics of Renewable Energy Technologies1," The Energy Journal, , vol. 25(3), pages 127-156, July.
    10. Claassen, Roger & Cooper, Joseph C. & Carriazo, Fernando, 2011. "Crop Insurance, Disaster Payments, and Land Use Change: The Effect of Sodsaver on Incentives for Grassland Conversion," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(2), pages 195-211, May.
    11. Swinton, Scott & Babcock, Bruce A. & James, Laura K. & Bandaru, Varaprasad, 2011. "Higher U.S. Crop Prices Trigger Little Area Expansion So Marginal Land for Biofuels is Limited," Staff General Research Papers Archive 34897, Iowa State University, Department of Economics.
    12. Alla A. Golub & Thomas W. Hertel, 2012. "Modeling Land-Use Change Impacts Of Biofuels In The Gtap-Bio Framework," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-30.
    13. Lubowski, Ruben N. & Bucholtz, Shawn & Claassen, Roger & Roberts, Michael J. & Cooper, Joseph C. & Gueorguieva, Anna & Johansson, Robert C., 2006. "Environmental Effects Of Agricultural Land-Use Change: The Role Of Economics And Policy," Economic Research Report 33591, United States Department of Agriculture, Economic Research Service.
    14. Michael J. Roberts & Ruben N. Lubowski, 2007. "Enduring Impacts of Land Retirement Policies: Evidence from the Conservation Reserve Program," Land Economics, University of Wisconsin Press, vol. 83(4), pages 516-538.
    15. Andrew J. Plantinga, 2021. "Recent Advances in Empirical Land-Use Modeling," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 1-15, October.
    16. Gebremariam, Gebrelibanos & Tesfaye, Wondimagegn, 2018. "The heterogeneous effect of shocks on agricultural innovations adoption: Microeconometric evidence from rural Ethiopia," Food Policy, Elsevier, vol. 74(C), pages 154-161.
    17. Brown, Jesslyn F. & Pervez, Md Shahriar, 2014. "Merging remote sensing data and national agricultural statistics to model change in irrigated agriculture," Agricultural Systems, Elsevier, vol. 127(C), pages 28-40.
    18. Secchi, Silvia & Kurkalova, Lyubov A. & Gassman, Philip W. & Hart, Chad E., 2011. "Land Use Change in a Biofuels Hotspot: The Case of Iowa, Usa," Staff General Research Papers Archive 32452, Iowa State University, Department of Economics.
    19. Christine Blandhol & John Bonney & Magne Mogstad & Alexander Torgovitsky, 2022. "When is TSLS Actually LATE?," NBER Working Papers 29709, National Bureau of Economic Research, Inc.
    20. Bruce A. Babcock, 2015. "Extensive and Intensive Agricultural Supply Response," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 333-348, October.
    21. Djebbari, Habiba & Smith, Jeffrey, 2008. "Heterogeneous impacts in PROGRESA," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 64-80, July.
    22. Bryan, Brett Anthony & Crossman, Neville David, 2013. "Impact of multiple interacting financial incentives on land use change and the supply of ecosystem services," Ecosystem Services, Elsevier, vol. 4(C), pages 60-72.
    23. James J. Heckman & Rodrigo Pinto, 2018. "Unordered Monotonicity," Econometrica, Econometric Society, vol. 86(1), pages 1-35, January.
    24. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    25. Mary Ann Cunningham & Jeffrey Seidman, 2024. "Competition for Land: Equity and Renewable Energy in Farmlands," Land, MDPI, vol. 13(7), pages 1-15, June.
    26. 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.
    27. Anthony D. Owen, 2004. "Environmental Externalities, Market Distortions and the Economics of Renewable Energy Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 127-158.
    28. Meiyappan, Prasanth & Dalton, Michael & O’Neill, Brian C. & Jain, Atul K., 2014. "Spatial modeling of agricultural land use change at global scale," Ecological Modelling, Elsevier, vol. 291(C), pages 152-174.
    29. Bhuller, Manudeep & Sigstad, Henrik, 2024. "2SLS with multiple treatments," Journal of Econometrics, Elsevier, vol. 242(1).
    30. Andrew B. Rosenberg & Bryan Pratt, 2024. "Land use impacts of the Conservation Reserve Program: An analysis of rejected offers," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1217-1240, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bhuller, Manudeep & Sigstad, Henrik, 2024. "2SLS with multiple treatments," Journal of Econometrics, Elsevier, vol. 242(1).
    2. Leonard Goff, 2024. "When does IV identification not restrict outcomes?," Papers 2406.02835, arXiv.org, revised Sep 2024.
    3. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    4. Vishal Kamat & Samuel Norris & Matthew Pecenco, 2023. "Identification in Multiple Treatment Models under Discrete Variation," Papers 2307.06174, arXiv.org.
    5. Luis Antonio Fantozzi Alvarez & Rodrigo Toneto, 2024. "The interpretation of 2SLS with a continuous instrument: a weighted LATE representation," Working Papers, Department of Economics 2024_11, University of São Paulo (FEA-USP).
    6. Hoshino, Tadao & Yanagi, Takahide, 2023. "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, vol. 236(2).
    7. Balat, Jorge F. & Han, Sukjin, 2023. "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, vol. 234(2), pages 732-757.
    8. Woodard, Joshua D. & Chiu Verteramo, Leslie & Miller, Alyssa P., 2015. "Adaptation of U.S. Agricultural Production to Drought and Climate Change," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205903, Agricultural and Applied Economics Association.
    9. James J. Heckman & Rodrigo Pinto, 2022. "Causality and Econometrics," NBER Working Papers 29787, National Bureau of Economic Research, Inc.
    10. Heckman, James & Pinto, Rodrigo, 2024. "Econometric causality: The central role of thought experiments," Journal of Econometrics, Elsevier, vol. 243(1).
    11. Goff, Leonard, 2024. "A vector monotonicity assumption for multiple instruments," Journal of Econometrics, Elsevier, vol. 241(1).
    12. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
    13. Sun, Zhenting, 2023. "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, vol. 237(2).
    14. Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
    15. Nir Billfeld & Moshe Kim, 2024. "Context-dependent Causality (the Non-Nonotonic Case)," Papers 2404.05021, arXiv.org.
    16. Christian Dippel & Robert Gold & Stephan Heblich & Rodrigo Pinto, 2017. "Instrumental Variables and Causal Mechanisms: Unpacking the Effect of Trade on Workers and Voters," CESifo Working Paper Series 6816, CESifo.
    17. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    18. Mogstad, Magne & Torgovitsky, Alexander & Walters, Christopher R., 2024. "Policy evaluation with multiple instrumental variables," Journal of Econometrics, Elsevier, vol. 243(1).
    19. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    20. Hoekman, S. Kent & Broch, Amber, 2018. "Environmental implications of higher ethanol production and use in the U.S.: A literature review. Part II – Biodiversity, land use change, GHG emissions, and sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3159-3177.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2411.10600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.