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Blockchain traceability and labeling effects on beef preferences in the USA
Last registered on July 03, 2019

Pre-Trial

Trial Information
General Information
Title
Blockchain traceability and labeling effects on beef preferences in the USA
RCT ID
AEARCTR-0004384
Initial registration date
July 03, 2019
Last updated
July 03, 2019 3:25 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
Arkansas State University
Other Primary Investigator(s)
PI Affiliation
University of Arkansas
PI Affiliation
University of Arkansas
PI Affiliation
University of Arkansas
Additional Trial Information
Status
On going
Start date
2019-06-25
End date
2019-07-19
Secondary IDs
Abstract
Beef steak requires monitoring through the supply chain to ensure proper food safety. Currently, all parties in the beef supply chain (including farmers, feed lots, meat processors, wholesalers, and retail stores) conduct their own quality control checks and maintain their own records. Government agencies are responsible for certifying the safety and quality of beef by checking physical samples at various points along the supply chain. Typically, there is no end-to-end visibility of how beef travels from farm to fork, which can lead to slower traceability in the event of a food safety issue. New digital ledger (“blockchain”) technologies, however, promise to address these issues by tracing food from farm to fork using one shared system viewable by the public. In a permanent, secure, and public fashion, blockchain technologies verify and record transactions with cryptography and advanced computer algorithms. Digital ledgers allow consumers to know exactly where their beef came from, how the beef was raised, and what the environmental impacts were. However, blockchain technologies cost money to implement, which may result in higher-prices. As such, we designed a choice experiment for a beef product to understand how consumers value the reduction in food safety risks and the ability to access detailed product information through blockchain technology. We are testing consumer preferences and willingness-to-pay for beef steak with attributes for traceability governance (blockchain, digital ledger, USDA certified), environmental impacts (reduced CO2 with Carbon Trust), and production information (grassfed, QR code). We hypothesize that consumers will pay a premium to have beef tracked through the supply chain with blockchain and for a reduced carbon footprint.
External Link(s)
Registration Citation
Citation
Lacity, Mary et al. 2019. "Blockchain traceability and labeling effects on beef preferences in the USA." AEA RCT Registry. July 03. https://doi.org/10.1257/rct.4384-1.0
Former Citation
Lacity, Mary et al. 2019. "Blockchain traceability and labeling effects on beef preferences in the USA." AEA RCT Registry. July 03. https://www.socialscienceregistry.org/trials/4384/history/49314
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-06-25
Intervention End Date
2019-07-19
Primary Outcomes
Primary Outcomes (end points)
Valuation and perception of blockchain and digital ledger technologies in food traceability.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Choice experiment
Experimental Design Details
Randomization Method
Computerized randomization
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1
Sample size: planned number of observations
1040
Sample size (or number of clusters) by treatment arms
1
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Arkansas
IRB Approval Date
2019-06-25
IRB Approval Number
1904190960
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers