An application of data envelopment analysis with the double bootstrapping technique to analyze cost and technical efficiency in aquaculture: Do credit constraints matter?

Long, Le Kim; Thap, Le Van; Hoài, Nguyễn Trọng

doi:10.1016/j.aquaculture.2020.735290

Cited by 31 publications

(21 citation statements)

References 49 publications

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“…This is in line with Long et al. (2020) who reported that credit constraints, a lack of market information, a lack of technical knowledge, a low educational level, and inexperienced managers represent some of the factors that hinder the development of intensive aquaculture. The high costs of purchased inputs and the quantities used may explain the low and wide variability of the levels of profit and the productivity of both labour and capital obtained.…”

Section: Discussionsupporting

confidence: 89%

Fish farming systems diversity and implications in the Republic of Benin: Fish farm types and their economic performance

Adégbola¹,

Crinot

Arouna³

2022

Aquaculture Fish & Fisheries

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Fish farming is promoted in the Republic of Benin to meet the demands of fish consumption and increase exports to neighbouring countries. Targeting fish farm policy interventions to increase the efficiency of heterogeneous fish farming systems is a challenge. Farm type delineation allows for simplifying the diversity in fish farming systems. Multivariate statistical techniques combined with the Calinski and Harabasz pseudo F statistic and bootstrapping were applied to determine the realistic number of fish farm types. Four fish farm types were identified and characterised based on farm intensity, species diversification, and the management capacity of operators. Furthermore, profits and both labour and capital productivity increased continuously from the extensive fish farms to the semi‐intensive farms. They also vary widely within farm types across the country. These farm types may be supported by appropriate fish farming promotion policy interventions. Most importantly, training programs must be tailored to each farm type to strengthen the technical and managerial capacity of the fish farmers.

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Section: Discussionsupporting

confidence: 89%

Fish farming systems diversity and implications in the Republic of Benin: Fish farm types and their economic performance

Adégbola¹,

Crinot

Arouna³

2022

Aquaculture Fish & Fisheries

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“…The study reported that credit, among other factors, has a significantly negative effect on the technical inefficiency of the farms. In Vietnam, Long et al (2020) employed the double bootstrap data envelopment analysis (DEA) to assess the cost and the technical efficiency of aquaculture. The study found that credit constraints negatively affect both cost and technical efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

What is the impact of rural bank credit access on the technical efficiency of smallholder cassava farmers in Ghana? An endogenous switching regression analysis

Missiame

Nyikal

Irungu

2021

Heliyon

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This paper assesses the impact of access to credit from rural and community banks (RCBs) on the technical efficiency of smallholder cassava farmers in Ghana. The study employed the stochastic frontier, and endogenous switching regression models to estimate the technical efficiency, and the impact of RCB credit access, respectively, on a randomly selected sample of 300 smallholder cassava farmers in the Fanteakwa District of Ghana. Results suggest that cassava farmers in the District are 70.5 percent technically efficient implying that cassava yield levels could be increased further by 29.5 percent without changing the current levels of inputs. The results further reveal that the gender of the household head, access to extension services, membership in farmer organizations, and proximity to the bank are the major factors that positively influence farmers to access credit from RCBs. On average, farmers who accessed credit from RCBs have significantly higher technical efficiencies than farmers who did not access, suggesting that access to credit from RCBs positively impacts the technical efficiency of smallholder cassava farmers.

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“…Data envelopment analysis, combined with the double-bootstrapping technique, was used to analyze the cost and technical efficiencies of intensive shrimp farming in Ningshun, Vietnam. The study revealed that vast improvement was required with regard to the cost and technical efficiencies of intensive whiteleg shrimp farming [25]. Asche et al (2013) analyzed the change of total factor productivity in the salmon farming department of Norway from 1996 to 2008 by applying the Malmquist index method, stochastic frontier analysis (SFA), and data envelopment analysis (DEA) [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring the Green Total Factor Productivity in Chinese Aquaculture: A Zofio Index Decomposition

Guo

Dong

Qian

et al. 2022

Fishes

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Aquatic products are important sources of protein and food consumption, which are pivotal to solving the problem of food shortage. As the world’s largest producer of aquatic products, China’s aquaculture has developed rapidly. However, a large quantity of pollutants has also been generated in the fish farming process, which is detrimental to the sustainable development of China’s aquaculture. Therefore, under double constraints with regard to resources and the environment, fishery development must achieve cleaner production. Measuring green total factor productivity in aquaculture is fundamental to improving aquaculture production efficiency and reducing pollution emissions. This paper investigated the green total factor productivity in China using the SBM-ML method and analyzed the dynamic evolution of fish farming, measuring its change characteristics with regard to time and spatial differences. The results indicated that the total factor productivity indexes of mariculture and freshwater aquaculture in China are 1.050 and 1.060, respectively. Regionally, mariculture in the East China Sea region has the highest green total factor productivity of 1.072, followed by the South China Sea region with 1.056, and the green total factor productivity in the Yellow Sea region is the lowest—only 1.030. The results of the freshwater aquaculture calculations showed the opposite geographical distribution characteristics in China, with the highest in the western region (1.098), followed by the central region (1.046), with the lowest being in the eastern region (1.038). Evidently, both mariculture and freshwater aquaculture have noticeable spatiotemporal heterogeneity. Relevant policy recommendations are provided to improve the green production efficiency of fishery.

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An application of data envelopment analysis with the double bootstrapping technique to analyze cost and technical efficiency in aquaculture: Do credit constraints matter?

Cited by 31 publications

References 49 publications

Fish farming systems diversity and implications in the Republic of Benin: Fish farm types and their economic performance

Fish farming systems diversity and implications in the Republic of Benin: Fish farm types and their economic performance

What is the impact of rural bank credit access on the technical efficiency of smallholder cassava farmers in Ghana? An endogenous switching regression analysis

Measuring the Green Total Factor Productivity in Chinese Aquaculture: A Zofio Index Decomposition

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