Data envelopment analysis for analyzing technical efficiency in aquaculture: The bootstrap methods

Abstract

The paper adopts the bootstrap procedures proposed by Simar and Wilson for data envelopment analysis to analyze technical efficiency in aquaculture. The data of 318 intensive shrimp farming households in the south-central coast of Vietnam is used as a case for analysis. The result demonstrates that the null hypothesis of constant returns-to-scale is rejected in favour of variable returns-to-scale for the production technology.Moreover, the potential improvement is certainly greater using bootstrapping than that using the conventional data envelopment analysis, which has been adopted widely in the aquaculture literature for technical efficiency estimation. By adopting the double bootstrap proposed by Simar & Wilson (2007), the bias-corrected technical efficiency is 0.69, and at the 95% confidence interval with the lower limit of 0.65 and the upper limit of 0.75. In addition, factors that might statistically positive influence technical efficiency in this farming are larger farm size, having access to formal credit; whereas negative influences are cultural length.

Do smallholder farmers ensure resource use efficiency in developing countries? Technical efficiency of sesame production in Western Tigrai, Ethiopia

“…The non-parametric DEA was first developed by Charnes, Cooper and Rhodes J o u r n a l P r e -p r o o f (1978) to overcome the shortcoming of the previous models used to measure technical efficiency that was introduced by Koopmans (1951), refined by Debreu (1951) and Shephard (1953) and extended to measure cost efficiency by Farrell (1957). Recently, a number of scholars are used DEA to measure technical efficiency of agricultural production such as Gutiérrez et al, (2017); Raheli et al, (2017); Horvat et al, (2019); Long et al, (2020);Hoai, (2020). Applying DEA has two advantages: first, it does not require the assumption of a functional form to specify the relationship between inputs and outputs.…”

Technical Inefficiency of District Hospitals in Côte d'Ivoire: Measurement, Causes and Consequences

“…Thus, Pé rez-Cerceles et al ( 2018), using data on European and Central Asian health systems, demonstrate that the DEA Double Bootstrap approach is more effective than the conventional DEA. More recently, Long et al (2020) in their study get that the potential resource improvement is greater using the DEA Double Bootstrap than that obtained using the classic DEA widely adopted in the aquaculture literature for estimating technical efficiency.…”

Influence of socio‐economic factors and environmental hazards on technical efficiency of shrimp farms: A stochastic frontier production analysis

“…Shrimp farming in Vietnam has been largely embraced to promote economic growth. The sector creates employment, supporting several livelihoods across the country (Nguyen & Fisher, 2020; Nguyen et al, 2019). On average, the country recorded a 14% annual increase in shrimp production from 93,503 metric tons, in 2000, to 628,231 metric tons, in 2015 (GSO, 2015).…”

“…However, despite improved yield obtainable from input manipulation, farm‐level activities are still influenced by factors including production technologies, biological variables, size of farms, differences in social characteristics, such as educational level or extreme climatic events (Alam et al, 2019; Boonyawiwat et al, 2018; Tendencia & Verreth, 2010). Previous studies on technical efficiencies have investigated varying production technologies (Long et al, 2020) as well as biological variables (Vinh et al, 2020). There is little or no information on the influence of socio‐economic variables and climatic events on farmers' shrimp productivity (Ahmed & Diana, 2015; Lekshmi et al, 2005).…”