Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet

Food Policy ◽  
2014 ◽  
Vol 46 ◽  
pp. 74-83 ◽  
Author(s):  
Daniel Solís ◽  
Julio del Corral ◽  
Larry Perruso ◽  
Juan J. Agar

<em>Abstract.</em>—Red snapper <em>Lutjanus campechanus </em>were sampled from commercial landings from the Gulf of Mexico (GOM) off Louisiana from October 2001 to May 2004. Fork length (FL), eviscerated weight, otoliths (both sagittae), and sex determinations were taken from 2,900 specimens; FL was subsequently converted to total length (TL) with the equation TL = 1.073 (FL) + 3.56. Red snapper ages (<EM>N </EM>= 2,867) estimated from counts of opaque annuli in otoliths ranged from 1 to 14 years; however, the vast majority (97.7%) of these were ages 2 to 6 years and the modal age was 3 years. Total lengths among 2,897 specimens ranged from 278 to 940 mm, modal TL was 400 mm, and 98% of all specimens were less than 600 mm TL. We also investigated the fate of red snapper regulatory discards (individuals <381 mm [15 in] TL) during 16 trips on working commercial vessels; over two-thirds of 4,839 red snapper assigned among four discard fate categories (ranging from alive and vigorous to dead) were returned to the water either in moribund or dead condition. Among 399 potential discards retained for age and length analyses, 86% were between 12 and 15 in (305–381 mm) TL and 85% were 2 years of age. The minimum size regulation appears to do little to protect juvenile red snapper from commercial fishing mortality. Heavy red snapper mortality, which begins as bycatch mortality in shrimp trawls, continues as discard mortality at sub-legal lengths when they first recruit to the offshore fishing grounds, and persists as harvest mortality among the youngest legal year- and size-classes. If the minimum size limit is intended to provide a respite from such mortality, a reconsideration of the utility of the minimum length regulation in the commercial harvest of red snapper may be warranted.


2019 ◽  
Vol 77 (6) ◽  
pp. 2265-2284
Author(s):  
Nicholas A Farmer ◽  
John T Froeschke ◽  
David L Records

Abstract In a derby fishery, anglers race to catch as many fish as possible during a limited season. To meet legal mandates to prevent overfishing, forecasting accuracy is paramount. Red Snapper is among the most prized species in the US Gulf of Mexico and represents a politically charged derby fishery case study. We describe the management considerations, data, methods, and specialized statistical forecasting approaches used to estimate recreational component season lengths to maximize fishing opportunities while meeting mandates to constrain catch below legal limits. Retrospective analysis of model predictions for 2013–2017 indicated mean prediction error of 2626 ± 13 231, 3014 ± 15 744, and 42 975 ± 132 032 pounds whole weight per open day for charter, headboat, and private mode catch rates, respectively. Forecasting results using generalized linear models indicated that the annual harvest for 2017 would be caught in 2 d for the private angling component with an 18% probability of exceeding the component quota. The federal for-hire (charter and headboat) component season was estimated to be 48 d, with a 5% probability of exceeding the component quota. There is a broad scientific and management interest in identifying strategies to continue rebuilding the stock while increasing stakeholder access.


2019 ◽  
Vol 218 ◽  
pp. 69-82
Author(s):  
Marcy L. Cockrell ◽  
Shay O’Farrell ◽  
James Sanchirico ◽  
Steven A. Murawski ◽  
Larry Perruso ◽  
...  

2014 ◽  
Vol 59 (2) ◽  
pp. 288-307 ◽  
Author(s):  
Daniel Solís ◽  
Julio del Corral ◽  
Lawrence Perruso ◽  
Juan J. Agar

2018 ◽  
Vol 43 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Carina Van Rooyen ◽  
Ruth Stewart ◽  
Thea De Wet

Big international development donors such as the UK’s Department for International Development and USAID have recently started using systematic review as a methodology to assess the effectiveness of various development interventions to help them decide what is the ‘best’ intervention to spend money on. Such an approach to evidence-based decision-making has long been practiced in the health sector in the US, UK, and elsewhere but it is relatively new in the development field. In this article we use the case of a systematic review of the impact of microfinance on the poor in sub-Saharan African to indicate how systematic review as a methodology can be used to assess the impact of specific development interventions.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.


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