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Investigating the Efficacy of Government Rebates: A Case of the Smart Irrigation System

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  • Lai, Yufeng
  • Yue, Chengyan
  • Watkins, Eric
  • Barnes, Mike

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  • Lai, Yufeng & Yue, Chengyan & Watkins, Eric & Barnes, Mike, 2023. "Investigating the Efficacy of Government Rebates: A Case of the Smart Irrigation System," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(3), September.
    • Handle: RePEc:ags:jlaare:330842
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    File URL: https://ageconsearch.umn.edu/record/330842/files/JARE330842.pdf
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    References listed on IDEAS

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    1. Heath, Timothy B & Chatterjee, Subimal & France, Karen Russo, 1995. "Mental Accounting and Changes in Price: The Frame Dependence of Reference Dependence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 90-97, June.
    2. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    3. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
    4. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    5. Harlam, Bari A. & Krishna, Aradhna & Lehmann, Donald R. & Mela, Carl, 1995. "Impact of bundle type, price framing and familiarity on purchase intention for the bundle," Journal of Business Research, Elsevier, vol. 33(1), pages 57-66, May.
    6. Adam Drucker, 2007. "Measuring Heterogeneous Preferences for Cattle Traits among Cattle-Keeping Households in East Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 1005-1019.
    7. González, Eva M. & Esteva, Eduardo & Roggeveen, Anne L. & Grewal, Dhruv, 2016. "Amount off versus percentage off—when does it matter?," Journal of Business Research, Elsevier, vol. 69(3), pages 1022-1027.
    8. Timothy B. Heath & Subimal Chatterjee & Karen R. France, 1995. "Mental Accounting and Changes in Price: The Frame Dependence of Reference Dependence," Post-Print hal-00670476, HAL.
    9. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    10. Janiszewski, Chris & Cunha, Marcus, Jr, 2004. "The Influence of Price Discount Framing on the Evaluation of a Product Bundle," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 534-546, March.
    11. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    12. Çakır, Metin & Balagtas, Joseph V., 2014. "Consumer Response to Package Downsizing: Evidence from the Chicago Ice Cream Market," Journal of Retailing, Elsevier, vol. 90(1), pages 1-12.
    13. Shir-Way Siew & Michael S. Minor & Reto Felix, 2018. "The influence of perceived strength of brand origin on willingness to pay more for luxury goods," Journal of Brand Management, Palgrave Macmillan, vol. 25(6), pages 591-605, November.
    14. Carlsson, Fredrik & Martinsson, Peter, 2001. "Do Hypothetical and Actual Marginal Willingness to Pay Differ in Choice Experiments?: Application to the Valuation of the Environment," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 179-192, March.
    15. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    16. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
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