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The theoretical structure of producer willingness to pay estimates

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  • Samuel D. Zapata
  • Carlos E. Carpio

Abstract

This article analyzes the theoretical underpinnings of producer willingness to pay (WTP) for new inputs. In addition to conceptualizing the producer WTP function, we derive its comparative statics and show how these properties can be used to estimate quantities demanded or supplied and price elasticities. We also discuss implications of the comparative statics.

Suggested Citation

  • Samuel D. Zapata & Carlos E. Carpio, 2014. "The theoretical structure of producer willingness to pay estimates," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 613-623, September.
  • Handle: RePEc:bla:agecon:v:45:y:2014:i:5:p:613-623
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    File URL: http://hdl.handle.net/10.1111/agec.12110
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    Cited by:

    1. Lai, John & Wang, H. Holly, 2016. "Producers’ Willingness to Adopt an Alternative Technology: Market Opportunities to Export Pork to China," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236054, Agricultural and Applied Economics Association.
    2. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    3. Zapata, Samuel D. & Carpio, Carlos E. & Isengildina-Massa, Olga & Lamie, R. David, 2013. "The Economic Impact of Services Provided by an Electronic Trade Platform: The Case of MarketMaker," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(3), pages 1-20.
    4. Herrington, Caitlin L. & Maredia, Mywish K. & Ortega, David L. & Reyes, Byron A., 2023. "The Impact of Endogenous and Exogenous Factors on Farmer Willingness-to-Pay for Biofortified Bean Seed: A Field Experiment in Rural Zimbabwe," 2023 Annual Meeting, July 23-25, Washington D.C. 335918, Agricultural and Applied Economics Association.
    5. Tsigkou, Stavroula & Klonaris, Stathis, 2020. "Eliciting Farmers' Willingness to Pay for Innovative Fertilizer Against Soil Salinity: Comparison of Two Methods in a Field Survey," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 9, December.
    6. Velandia, Margarita & Jensen, Kimberly & DeLong, Karen L. & Wszelaki, Annette & Rihn, Alicia, 2020. "Tennessee Fruit and Vegetable Farmer Preferences and Willingness to Pay for Plastic Biodegradable Mulch," Journal of Food Distribution Research, Food Distribution Research Society, vol. 51(3), November.
    7. Herrington, Caitlin L. & Ortega, David L. & Maredia, Mywish K. & Reyes, Byron A., 2023. "Does Bid Quantity Matter? Comparing Farmer Willingness-to-Pay for Specified vs Open-Ended Quantities of Biofortified Bean and Maize Seed in a Non-hypothetical Field Experiment," 2023 Annual Meeting, July 23-25, Washington D.C. 335919, Agricultural and Applied Economics Association.
    8. Zapata, Samuel D. & Carpio, Carlos E., . "Distribution-Free Methods to Estimate Willingness to Pay Models Using Discrete Response Valuation Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(1).
    9. Murphy, David M. A., 2017. "Underground Knowledge: Soil Testing, Farmer Learning, and Input Demand in Kenya," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258372, Agricultural and Applied Economics Association.

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