Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting

Pang, Arwin

doi:10.1016/j.jfe.2017.04.003

Cited by 5 publications

(5 citation statements)

References 32 publications

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“…Previous applications of the structural equation model in fishing and hunting applications have assumed feedback between catch and effort flows in one direction, similar to Model-3 here (Englin et al, 1997;Huszar et al, 1999;Pang, 2017). In Model-4 we also allow for feedback in the opposite direction with predicted angling days entering the catch model as a measure of effort.…”

Section: Discussionmentioning

confidence: 99%

“…A catch function is estimated in a first equation, the predicted value of which is then used as an explanatory variable in a second equation, 1 the demand model (Englin et al, 1997;Huszar et al, 1999). A similar approach has also been recently used in examining how hunting success affects hunting demand (Pang, 2017). But the relationship between catch and recreational demand is bidirectional.…”

Section: Introductionmentioning

confidence: 99%

“…Second, within the context of a cross-sectional dataset we consider a methodological issue with respect to the feedback relationship between catch and demand. Previous papers assume a feedback loop in one direction; initially estimating a catch function and using the predicted catch value as an explanatory variable in the demand equation (Englin et al, 1997;Huszar et al, 1999;Pang, 2017). We investigate the feedback loop between catch and demand in both directions, estimating two models separately.…”

Section: Introductionmentioning

confidence: 99%

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Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Grilli

Curtis

Hynes

et al. 2018

Ecological 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. Abstract: The relationship between angling effort and catch is well-recognised, in particular that effort influences catch rates. But increased catch, which can be considered an attribute of fishery quality, may influence effort in terms of number of fishing trips. This suggests bi-directional feedback between catch and effort. In many travel cost applications little attention has been given to this endogeneity problem. In this paper we expand the application of structural equation models to address this issue by jointly estimating demand (effort) and catch functions. Using a cross-section dataset of sea bass anglers we propose two separate joint models. First, we include expected catch as an explanatory variable in the demand equation. In the second, we reverse the causality and use the expected number of fishing days as a covariate in the catch function. The two approaches produce similar model estimates, and perform better at predicting anglers' catch and effort than standard models. The findings confirm that 'catch & release' does not curtail fishing activity and that sea bass angling is highly valued. Furthermore higher catches result more days fished, on average in a 2:1 ratio. Whereas on average, an additional fishing day results in 3-4 additional bass caught. Terms of use: Documents in

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Grilli

Curtis

Hynes

et al. 2018

Ecological Economics

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“…distinguish the term bagging (Pang 2017), it is necessary to say that there are regular, sanitary, and trophy bagging (shooting the game). With the latter, one tries to achieve the optimal and best possible ratio between natural and economic results.…”

Section: Management -A Case Study From Croatian Dinaridesmentioning

confidence: 99%

“…Hunting can be described as a livelihood (subsistence), recreational, management, and commercial activity, where the last one is the most important from an economic point of view (Middleton 2014). Hunting is not just bagging but instead has multiple aspects of satisfaction (Pang 2017). This concept recognises factors such as enjoyment of nature, exploration of the outdoors, adventure and companionship (Hammitt et al 1990).…”

Section: Management -A Case Study From Croatian Dinaridesmentioning

confidence: 99%

Investment Analysis of a Joint Forest and Game Management – A Case Study from Croatian Dinarides

Beljan

Pokupić²,

Mataković

et al. 2022

SEEFOR

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Wildlife-based tourism, including hunting, is attracting interest from governments, the tourism industry, and researchers. Capital investment in renewable resources, like forests, represents spatial and temporal management, which is significantly limited by the natural potential of a particular habitat (e.g., volume increment, the quantity of food for wildlife, etc.). Therefore, the return rate expected by the investor is quite fixed and the only tool by which the investor can increase it is by adding further business activities and/or expanding the existing value chain. In the Republic of Croatia, the only forests which can be purchased by individual or institutional investors, and in which it is possible to establish both active forest management and commercial hunting, are private forests. Based on these insights, we analysed characteristics of capital invested in a large-scale private forest, where game management is carried out in addition to extensive forest management. Of the 1,104 hunting grounds in Croatia, the one with the largest percentage of forest cover (92%) and privately owned (61%) was taken as the subject of this case study (name of the hunting ground: VIII/120 “Permani” (10,017 ha)). A theoretical approach was used in which the investor buys all private forests (predominantly consisting of common beech), conducts forest management activities, and makes a profit by selling timber (30-year period). Furthermore, the hunting segment consisting of game management for red deer, roe deer, wild boar and brown bear is evaluated. At the lowest cost of capital (5.41%), the results of the separate forest management revealed an Internal Rate of Return (IRR) of 5.10%, a negative Net Present Value (NPV) (-760,000 €) and a 30-year discount payback period. Joint forest and game management resulted in an IRR of 5.69%, a positive NPV (680,000 €), and the same length of a discount payback period.

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Hunting

Peterson¹

2019

Encyclopedia of Ecology

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Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting

Cited by 5 publications

References 32 publications

Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Sea Bass Angling in Ireland: A Structural Equation Model of Catch and Effort

Investment Analysis of a Joint Forest and Game Management – A Case Study from Croatian Dinarides

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