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Incentives for the Adoption of Blockchains in Ontario's Agri-Food Sector: The Role of Risk and Information

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dc.contributor.advisor Hailu, Getu Westover, Jamieson 2019-08-01T19:25:03Z 2019-08-01T19:25:03Z 2019-07 2019-07-04 2019-08-01
dc.description.abstract There is a growing interest in better understanding the opportunities, benefits and applications of blockchains - i.e., distributed ledger technologies - in the Canadian agri-food sector to enhance the transparency and traceability of agricultural supply chains. This thesis uses a Best-Worst Scaling approach to elicit producers’ relative raking of incentives that may promote the adoption of blockchains. A latent class cluster analysis is used to identify groups of respondents that share similar preferences for adoption incentives and to examine the influence of risk and information on producers’ relative ranking of adoption incentives. The results show that producers are heterogeneous in their preferences for adoption incentives. Producers that prefer adoption incentives external to the farm (e.g., government subsidies) are more risk-averse than producers that prefer internal adoption incentives (e.g., farm differentiation). The thesis concludes by discussing the implications of these findings for efforts to better understand blockchain adoption incentives more generally. en_US
dc.description.sponsorship Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) en_US
dc.language.iso en en_US
dc.rights Attribution-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject blockchains en_US
dc.subject technology en_US
dc.subject technology adoption en_US
dc.subject agricultural economics en_US
dc.subject digital agriculture en_US
dc.subject food traceability en_US
dc.subject agriculture supply chain en_US
dc.subject best-worst scaling en_US
dc.subject latent class cluster analysis en_US
dc.subject agricultural technology en_US
dc.subject digital farming en_US
dc.title Incentives for the Adoption of Blockchains in Ontario's Agri-Food Sector: The Role of Risk and Information en_US
dc.type Thesis en_US Food, Agriculture and Resource Economics en_US Master of Science en_US Department of Food, Agricultural and Resource Economics en_US
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