IDEAS home Printed from https://ideas.repec.org/p/ias/cpaper/01-wp286.html
   My bibliography  Save this paper

Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior (Revised)

Author

Listed:
  • Lyubov A. Kurkalova
  • Catherine L. Kling
  • Jinhua Zhao

Abstract

Because of payoff uncertainties combined with risk aversion and/or real options, farmers may demand a premium in order to adopt conservation tillage practices, over and above the compensation for the expected profit losses (if any). We propose a method of directly estimating the financial incentives for adopting conservation tillage and distinguishing between the expected payoff and premium of adoption based on observed behavior. We find that the premium may play a significant role in farmers' adoption decisions.

Suggested Citation

  • Lyubov A. Kurkalova & Catherine L. Kling & Jinhua Zhao, 2003. "Green Subsidies in Agriculture: Estimating the Adoption Costs of Conservation Tillage from Observed Behavior (Revised)," Center for Agricultural and Rural Development (CARD) Publications 01-wp286, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    • Handle: RePEc:ias:cpaper:01-wp286
    as

    Download full text from publisher

    File URL: https://www.card.iastate.edu/products/publications/pdf/01wp286.pdf
    File Function: Full Text
    Download Restriction: no
    File URL: https://www.card.iastate.edu/products/publications/synopsis/?p=347
    File Function: Online Synopsis
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nobuhiko Fuwa & Asa Jose U. Sajise, 2009. "Exploring Environmental Services Incentive Policies for the Philippines Rice Sector: The Case of Intra-Species Agrobiodiversity Conservation," Natural Resource Management and Policy, in: Leslie Lipper & Takumi Sakuyama & Randy Stringer & David Zilberman (ed.), Payment for Environmental Services in Agricultural Landscapes, chapter 10, pages 221-238, Springer.
    2. Wade, Tara & Kurkalova, Lyubov A. & Secchi, Silvia, 2012. "Using the logit model with aggregated choice data in estimation of Iowa corn farmers’ conservation tillage subsidies," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124974, Agricultural and Applied Economics Association.
    3. Zhao, Jinhua & Kurkalova, Lyubov A. & Kling, Catherine L., 2004. "Alternative Green Payment Policies When Multiple Benefits Matter," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(1), pages 1-11, April.
    4. Secchi, Silvia & Feng, Hongli & Kurkalova, Lyubov A. & Kling, Catherine L. & Gassman, Philip W. & Jha, Manoj, 2005. "Nonpoint Source Needs Assessment for Iowa Part II: the Cost of Improving Iowa’s Water Quality," ISU General Staff Papers 200501010800001068, Iowa State University, Department of Economics.
    5. Kim, Man-Keun & McCarl, Bruce A. & Murray, Brian C., 2008. "Permanence discounting for land-based carbon sequestration," Ecological Economics, Elsevier, vol. 64(4), pages 763-769, February.
    6. Kurkalova, Lyubov A. & Rabotyagov, Sergey S., 2006. "Estimation of a binary choice model with grouped choice data," Economics Letters, Elsevier, vol. 90(2), pages 170-175, February.

    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. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    2. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    3. Chaikaew, Pasicha & Hodges, Alan W. & Grunwald, Sabine, 2017. "Estimating the value of ecosystem services in a mixed-use watershed: A choice experiment approach," Ecosystem Services, Elsevier, vol. 23(C), pages 228-237.
    4. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    5. Zawojska, Ewa & Czajkowski, Mikotaj, 2017. "Are preferences stated in web vs. personal interviews different? A comparison of willingness to pay results for a large multi-country study of the Baltic Sea eutrophication reduction," Annual Meeting, 2017, June 18-21, Montreal, Canada 258604, Canadian Agricultural Economics Society.
    6. Brox, James A. & Fader, Christina, 1996. "Production elasticity differences between just-in-time and non-just-in-time users in the automotive parts industry," The North American Journal of Economics and Finance, Elsevier, vol. 7(1), pages 77-90.
    7. Carmelo León & Francisco Vázquez-Polo & Roberto González, 2003. "Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(2), pages 199-210, October.
    8. Martin Van Bueren & Jeff Bennett, 2004. "Towards the development of a transferable set of value estimates for environmental attributes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 1-32, March.
    9. Otrachshenko, Vladimir & Tyurina, Elena & Nagapetyan, Artur, 2022. "The economic value of the Glass Beach: Contingent valuation and life satisfaction approaches," Ecological Economics, Elsevier, vol. 198(C).
    10. Khan, Md. Tajuddin & Kishore, Avinash & Joshi, Pramod Kumar, 2016. "Gender dimensions on farmers’ preferences for direct-seeded rice with drum seeder in India:," IFPRI discussion papers 1550, International Food Policy Research Institute (IFPRI).
    11. Caparros, Alejandro & Cerda, Emilio & Ovando, P. & Campos, Pablo, 2007. "Carbon Sequestration with Reforestations and Biodiversity-Scenic Values," Climate Change Modelling and Policy Working Papers 9323, Fondazione Eni Enrico Mattei (FEEM).
    12. Tuan, Tran Huu & Navrud, Stale, 2009. "Applying the dissonance-minimising format to value cultural heritage in developing countries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-17.
    13. Jianhua Wang & Jiaye Ge & Yuting Ma, 2018. "Urban Chinese Consumers’ Willingness to Pay for Pork with Certified Labels: A Discrete Choice Experiment," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    14. Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
    15. Maureen Cropper & Yi Jiang & Anna Alberini & Patrick Baur, 2014. "Getting Cars Off the Road: The Cost-Effectiveness of an Episodic Pollution Control Program," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(1), pages 117-143, January.
    16. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.
    17. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    18. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    19. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
    20. Liu, Ruifeng & ,, 2021. "What We Can Learn from the Interactions of Food Traceable Attributes? a Case Study of Fuji Apple in China," 2021 Conference, August 17-31, 2021, Virtual 315916, International Association of Agricultural Economists.

    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:ias:cpaper:01-wp286. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/caiasus.html .

    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.