ITQs, Firm Dynamics and Wealth Distribution: Does Full Tradability Increase Inequality?

Rocha, José María Da; Sempere, Jaume

doi:10.1007/s10640-016-0017-3

Cited by 10 publications

(6 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Da Rocha & Gutiérrez, 2011;Da-Rocha & Pujolas, 2011;Da Rocha & Mato-Amboage, 2016;Da Rocha & Sempere, 2016;Da Rocha, Cerviño, & Gutiérrez, 2010;Da Rocha, Gutiérrez, Cerviño, & Antelo, 2012;Da Rocha, Gutiérrez, & Antelo, 2013;Da Rocha, Gutiérrez, Garcia-Cutrin, & Jardim, 2015;Da Rocha, Gutiérrez, Garcia-Cutrin, & Touza, 2016;Da Rocha, Gutiérrez, Garcia-Cutrin, & Jardim, 2017;Arnason, 2002;Weninger and Just, 2002;Heaps, 2003;Weninger and Waters, 2003;Weninger, 2008;Kitts et al, 2011. 11 DISPLACE Bastardie, Nielsen, Andersen, & Eigaard, 2010Bastardie et al, 2013Bastardie et al, , 2014Bastardie, Nielsen, Eigaard, et al, 2015;Bastardie, Nielsen, Eero, Fuga, & Rindorf, 2017;Nielsen, Kristensen, Lewy, & Bastardie, 2014;www.…”

Section: Stoch Hcr (Itq Wealth)mentioning

confidence: 99%

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

et al. 2017

View full text Add to dashboard Cite

Marine ecosystems evolve under many interconnected and area-specific pressures. To fulfil society's intensifying and diversifying needs while ensuring ecologically sustainable development, more effective marine spatial planning and broader-scope management of marine resources is necessary. Integrated ecological-economic fisheries models (IEEFMs) of marine systems are needed to evaluate impacts and sustainability of potential management actions and understand, and anticipate ecological, economic and social dynamics at a range of scales from local to national and regional. To make these models most effective, it is important to determine how model characteristics and methods of communicating results influence the model implementation, the nature of the advice that can be provided and the impact on decisions taken by managers. This article presents a global review and comparative evaluation of 35 IEEFMs applied to marine fisheries and marine ecosystem resources to identify the characteristics that determine their usefulness, effectiveness and implementation. The focus is on fully integrated models that allow for feedbacks between ecological and human processes although not all the models reviewed achieve that. Modellers must invest more time to make models user friendly and to participate in management fora where models and model results can be explained and discussed. Such involvement is beneficial to all parties, leading to improvement of models and more effective implementation of advice, but demands substantial resources which must be built into the governance process. It takes time to develop effective processes for using IEEFMs requiring a long-term commitment to integrating multidisciplinary modelling advice into management decision-making. K E Y W O R D Sbio-economic models, comparative model evaluation, fisheries management advice, integrated ecological-economic fisheries models, marine spatial planning and cross-sector management, performance criteria and scales and risks, use and acceptance and implementation and communication and flexibility and complexity | INTRODUCTIONThere is a growing need for tools to evaluate policies and assess tradeoffs in management of marine resources and provision of ecosystem services such as fishing, aquaculture, renewable energy, shipping, conservation and recreation (Cormier, Kannen, Elliott, & Hall, 2015;Degnbol & Wilson, 2008;EU 2014;Langlois, Fréon, Steyer, Delgenés, & Hélias, 2014;White et al., 2012). It is necessary to elaborate and apply common principles and broader, interdisciplinary management evaluation in the use of marine space involving several types of activities and sectors Soma et al., 2013;Stelzenmüller et al., 2013;Sundblad et al., 2014). Policymakers need to know the costs and benefits of conserving ecosystem goods and services to manage them sustainably. Moreover, according to an ecosystembased approach to management, specific pressures, associated uncertainties and risks need to be taken into account (Douvere, 2008;Ehler & Douvere, 2009;Gi...

show abstract

Section: Stoch Hcr (Itq Wealth)mentioning

confidence: 99%

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Sumaila et al [53] used the Gini index to quantify the distributional effects on profits of the closure of the high seas to fishing. The Gini index was also used by Da Rocha and Sempere [54] to measure the redistributive effects of restricting the tradability of individual transferable quotas. Bellanger et al [38] used the Theil index and its decomposability property to determine the distributional effects of various quota allocation systems among producer organizations.…”

Section: Discussionmentioning

confidence: 99%

Contributing to Fisheries Sustainability: Inequality Analysis in the High Seas Catches of Countries

Gutiérrez

Inguanzo

2019

Sustainability

View full text Add to dashboard Cite

The uneven exploitation of scarce natural resources threatens their sustainability by altering the commitment of agents. In fisheries, a great portion of catches is known to be concentrated in a few countries. Aiming to provide a more complete view on the distributional issues associated to the exploitation of common marine resources, this article focuses on the analysis of catches from high seas, which can be understood as the common marine resources under the current legislation. The analysis focuses on the evolution of several inequality indexes (the Gini index as well as others from the Atkinson and General Entropy families) from 1960 to 2014. Additionally, the Theil index is decomposed to observe whether this inequality is given by biological (between inequality) or technological (within inequality) reasons. All inequality indexes confirm that the exploitation of fishing resources in high seas is very unequal across countries. However, this inequality has decreased between 29% and 65% from 1960 to 2014. When considering the origin of catches, between 46% and 82% of the inequality observed is due to technological and fishermen capacity differences across the countries operating within fishing areas, while between 18% and 54% of the inequality can be attributed to biological differences between the fishing areas. Over time, the within component has decreased more than 35%, reflecting the greater reliance of more countries on high seas fisheries and their catching up on fishing technology. Being aware on the existence and the nature of catches inequality observed is necessary to develop successful policies for maintaining the sustainability of the fishery resources.

show abstract

“…It is assumed that the cross section productivity heterogeneity is generated by an Ornstein-Uhlenbeck process, i.e. an AR(1) in discrete time, with variance of 1.21%, (21). The productivity process correlation is equal to 0.80 to generate a low capital return, ∂Y ∂K , of 1.03%.…”

Section: A Numerical Illustrationmentioning

confidence: 99%

The social cost of fishery subsidy reforms

et al. 2017

Self Cite

View full text Add to dashboard Cite

This paper analyzes the impact of reducing a subsidy on fuel in a general equilibrium model for a fishery with heterogeneous fishing plants (vessels). It considers the impact of the stock effect, which determines the participation of fishing plants in a likely increased stock abundance. In equilibrium, the productivity of the fleet is endogenous as it depends on the stock of fish along the equilibrium path. The model concludes that any impact of a fuel subsidy drop will depend on the stock effect. If that effect is large, fishing firms will benefit from the stock recovery and the elimination of the subsidy will increase future returns on investment. The model is particularized to industrial shrimp fisheries in Mexico. It is shown that the complete elimination of a subsidy increases biomass, capitalization, marginal productivity, and consumption and reduces inequality when the effect of the induced increase in the stock is considered. However, if that effect is not considered capital and consumption decrease, and inequality increases, increasing the social costs of a fuel subsidy drop.

show abstract

ITQs, Firm Dynamics and Wealth Distribution: Does Full Tradability Increase Inequality?

Cited by 10 publications

References 44 publications

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

Integrated ecological–economic fisheries models—Evaluation, review and challenges for implementation

Contributing to Fisheries Sustainability: Inequality Analysis in the High Seas Catches of Countries

The social cost of fishery subsidy reforms

Contact Info

Product

Resources

About