2016
DOI: 10.2307/44011879
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Do Radioactive Spills from the Fukushima Disaster Have Any Influence on the Japanese Seafood Market?

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Cited by 4 publications
(5 citation statements)
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“…This has been documented in a number of studies for various foods (Bakhtavoryan, Capps, and Salin, 2012;Burton and Young, 1996;Fousekis and Revell, 2004;Piggott and Marsh, 2004;Pritchett et al, 2007;Uchida, Roheim, and Johnston, 2017;Verbeke and Ward, 2001), as well as specifically for salmon (Liu, Lien, and Asche, 2016;Sha et al, 2015). Several studies have also demonstrated a country-of-origin effect for 1 One example of a large disaster with limited impact on the seafood market is the Fukushima accident (Wakamatsu and Miyata, 2016).…”
Section: Introductionmentioning
confidence: 93%
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“…This has been documented in a number of studies for various foods (Bakhtavoryan, Capps, and Salin, 2012;Burton and Young, 1996;Fousekis and Revell, 2004;Piggott and Marsh, 2004;Pritchett et al, 2007;Uchida, Roheim, and Johnston, 2017;Verbeke and Ward, 2001), as well as specifically for salmon (Liu, Lien, and Asche, 2016;Sha et al, 2015). Several studies have also demonstrated a country-of-origin effect for 1 One example of a large disaster with limited impact on the seafood market is the Fukushima accident (Wakamatsu and Miyata, 2016).…”
Section: Introductionmentioning
confidence: 93%
“…1One example of a large disaster with limited impact on the seafood market is the Fukushima accident (Wakamatsu and Miyata, 2016). …”
mentioning
confidence: 99%
“…The spreading of contamination has resulted in health issues and, even when the contamination has been minimal, it has resulted in some people experiencing serious anxiety because communication informing affected populations of levels of risk has not been effective. Harmful rumors also affect the economy of an affected area, and may also disrupt the reconstruction of an area[ 3 , 4 ]. The tsunami that followed the Great East Japan Earthquake in 2011 destroyed the Fukushima Daiichi nuclear power station, and radioactive substances were spread to neighboring municipalities[ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…The counterfactual prediction is then the "unknown" or "unobserved" or inferred outcome of the response metric in the absence of an intervention, which in our case for instance is "what might have happened to the trend in annual bigeye tuna catch rates if MPA expansions had not occurred"? Counterfactual prediction-based approaches are increasingly used to infer temporal causal impacts in a wide range of policy evaluation contexts including public health [143], social policy [144], cigarette smoking bans [145], water conservation initiatives [146] and the impact on seafood markets of radioactive spills [147] or coastal hypoxia [148].…”
Section: Statistical Modeling Approaches For Counterfactual Predictionsmentioning
confidence: 99%