Efficiency of Fishing Vessels Affected by a Marine Protected Area – The Case of Small‐Scale Trawlers and the Marine Protected Area in Nha Trang Bay, Vietnam

Abstract

Are Marine Protected Areas positive for adjacent fisheries? This is a study of the technical efficiency of small-scale trawlers in Nha Trang, Vietnam following establishment of Nha Trang Bay Marine Protected Area (NTB-MPA) that imposed a trawl ban to protect marine biodiversity and regenerate fish stocks. Data were collected through a survey of small-scale trawler owners. Using a stochastic frontier analysis, this study demonstrates that engine power, household size and operating characteristics of vessels strongly affect technical efficiency. The number of days at sea is the most important factor affecting the output revenue. Understanding these relationships is an essential condition for effective management. Despite the ban on trawling, the vessels operating in the vicinity of the MPA are still more technically efficient than those operating in an alternative unprotected area. Thus the alternative grounds still sustained the activity of the trawl fleet affected by the ban. However, survey data from the NTB-MPA project reveals a decrease in fish stocks in this area. These findings combined provide some policy implications. A marine protected area and a trawl ban do not seem to be sufficient for improved management. It is essential to deal also with the link between poverty and resource management. Alternative income generation and effective education to achieve compliance from local communities are among the important measures for the success of a marine protected area.

Competitive interactions between corals and turf algae depend on coral colony form

“…1B ). Fishing is prohibited at this site, but occurs in other sections of Ninh Van Bay and adjacent waters ( Ngoc, Flaaten & Anh, 2009 ).…”

The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation

“…gillnet versus trawl fisheries) (Andersen 2002;Greenville et al 2006). Some studies have used engine power to represent boat capital (Duy and Flaaten 2016;Greenville et al 2006;Kompas et al 2004a;Oliveira et al 2016) while others have used boat size, often hull length or in some cases a combination of length and width representing the total "deck area" (Fousekis and Klonaris 2003;Ngoc et al 2009;Pascoe et al 2017b;Squires and Kirkley 1999). Other studies have also used volumetric measures, such as gross registered tonnage (GRT) (Jeon et al 2006;Squires et al 2003;Susilowati et al 2005;Viswanathan et al 2001), or the amount of fishing gear deployed (Duy and Flaaten 2016;Fousekis and Klonaris 2003;Kompas et al 2004a;Lokina 2009;Rust et al 2017).…”

“…Common measures of fishing effort range from hours fished to just the presence/absence of fishing on a particular day (e.g. Duy and Flaaten 2016; Jamnia et al 2015;Kirkley et al 1995;Ngoc et al 2009). Crew size has been used as a variable input in a number of studies (Kirkley et al 1995;Kirkley et al 1998;Ngoc et al 2009;Van Nguyen et al 2019), but this variable is often highly correlated with boat size as bigger boats have more crew members employed.…”

Fundamental Role of Macro and Microeconomics to Profitability and the Implications on Stock Return: Evidence From Banking Companies on the Indonesia Stock Exchange

“…The influence of the exchange rate on RSHM was examined by (Heard et al, 2012), stating that the exchange rate affected RSHM. (Ngoc et al, 2009) in the period of 1986-2006 when the liberalization of the forex market economy was implemented, showed that changes in currency exchange rates negatively affected the profitability of banking companies. (Royle and Laing, 2014) in his research showed that changes in currency exchange rates did not have a significant positive effect on ROA profitability.…”