Generalized Models of Japanese Demand for Fish

Eales, James S.; Durham, Catherine A.; Wessells, Cathy Roheim

doi:10.2307/1244272

Cited by 105 publications

(60 citation statements)

References 23 publications

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“…On perishable product markets, where products cannot be stored, quantity is usually taken as given exogenously, so price is determined exclusively by demand (see for instance Huang, 1988;Barten and Bettendorf, 1989;Eales et al, 1997). Moreover, all the regulations and interventions on the part of the authorities (TACs, control of fishing effort, limitation on the entry of vessels, etc.)…”

Section: Empirical Specification and Estimation Of The Demand Functionmentioning

confidence: 99%

Economic structure of fishing activity: an analysis of mackerel fishery management in the Basque Country

García‐Enríquez

Murillas-Maza²,

Arteche

2016

EARN

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This paper analyses the activity of the Basque fleet during the mackerel fishing season and presents an economic analysis of the equilibrium of this fishery. It seeks to determine whether its economic structure represents an internal factor explaining the fishermen's behaviour. The inverse demand function and the average cost function are therefore estimated. Moreover, the analysis conducted here also takes into account the institutional dimension by factoring in current fishery regulation measures. Conclusions are drawn as to whether the incentives provided by the management measures and the strategy of fishermen are optimal on the basis of the estimated economic functions. KEYWORDS:Cost structure, economic equilibrium, fishery, inverse demand function, mackerel. Estructura económica de la actividad pesquera: un análisis de la gestión de la pesquería del verdel en el País VascoRESUMEN: Este trabajo analiza la actividad de la flota vasca durante la costera del verdel y presenta un análisis económico del equilibrio de esta pesquería. Se pretende determinar si su estructura económica representa un factor interno que explica el comportamiento de los pescadores. Así, se estiman la función inversa de demanda y la función de costes medios. Además, el análisis también considera la dimensión institucional, incorporando las actuales medidas de regulación de la pesquería. Se concluye analizando si los incentivos generados por las medidas de gestión y la estrategia de los pescadores son óptimos en base a las funciones económicas estimadas.PALABRAS CLAVE: Estructura de costes, equilibrio económico, función inversa de demanda, pesquería, verdel.Clasificación JEL: Q21, Q22.

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Section: Empirical Specification and Estimation Of The Demand Functionmentioning

confidence: 99%

Economic structure of fishing activity: an analysis of mackerel fishery management in the Basque Country

García‐Enríquez

Murillas-Maza²,

Arteche

2016

EARN

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“…However, matching historical weather data from weather stations to certain fish stocks at a given point in time proved to be infeasible. I used other standard variables in the literature as instruments, namely diesel prices, twelve-month lagged variables and monthly dummies, see e.g., Eales and Unnevehr (1993), Eales et al (1997), Matsuda (2005) or Park et al (2004). The coefficient estimates from the 3SLS estimator were then compared with the estimates from the SUR estimator and systematic differences were tested for.…”

Section: Exogeneity Of Quantitymentioning

confidence: 99%

“…One of the most cited papers is Barten and Bettendorf's (1989) empirical study of fish landed in Belgian ports. From a theoretical perspective, the general trend has been to move from estimating and improving upon single inverse demand models e.g., Moschini and Vissa (1992) and Holt and Goodwin (1997) to nesting existing inverse demand systems in more general models to see which one best fits the data e.g., Eales et al (1997) and Brown et al (1995). Besides fish, the most common markets that have been the subject of study under inverse demand are meat, fruit and vegetables.…”

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confidence: 99%

Pricing on the Fish Market—Does Size Matter?

Sjöberg

2015

Marine Resource Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe importance of fish size for price per kilo is studied using an inverse demand approach. Prices per kilo in different size categories of the same species differ significantly. This means that the average price for a species may change due to e.g., high-grading, growth overfishing or a changing climate which all have the potential to change the size composition of the catch. The estimates show that quantity flexibilities differ substantially across size and species while scale flexibilities in general are close to homothetic. The results imply that the effect of size on price is an important aspect to take into account when formulating regulation or policies to curb growth overfishing and high-grading. AbstractThe importance of fish size for price per kilo is studied using an inverse demand approach.Prices per kilo in different size categories of the same species differ significantly. This means that the average price for a species may change due to e.g., high-grading, growth overfishing or a changing climate which all have the potential to change the size composition of the catch.The estimates show that quantity flexibilities differ substantially across size and species while scale flexibilities in general are close to homothetic. The results imply that the effect of size on price is an important aspect to take into account when formulating regulation or policies to curb growth overfishing and high-grading.

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“…Anderson (1980) deduced the mathematical framework for inverse demand systems, Barten and Bettendorf (1989) introduced the Rotterdam model in 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 Furthermore, Eales, Durham and Wessels (1997) estimated both ordinary and inverse demand systems for fish in Japan. They found that for fresh products, the quantity available in any month must be consumed and so price must adjust.…”

Section: Introductionmentioning

confidence: 99%