A survey of aquaculture production economics and management

199

103

Technology adoption has played a key role in the global development and increase in agricultural productivity. However, the decision to adopt a new technology on farms is complex. While the factors that drive the adoption of new technologies have been well studied in agriculture, less attention has been paid to drivers of technology adoption in aquaculture. Aquacultural technologies have developed and advanced rapidly in recent decades, but not all technologies have been adopted readily by farmers. This review paper summarizes some of the critical factors that influence aquaculture technology adoption decisions such as: (1) method of information transfer, (2) characteristics of the technology, (3) farm characteristics, (4) economic factors, and (5) sociodemographic and institutional factors. Fish farmers have tended to adopt technologies that are perceived to be more advantageous than others in terms of productivity, cost efficiency, and ease of management. Price of aquaculture products and profit expectations from business ventures were key economic factors influencing adoption decisions. Given the wide array of species, production practices, and global nature of aquaculture, the intensity and the extent of adoption of technologies depend on the nature of the industry in which they are adopted and their economic, social, political, and regulatory environments.

Section: Methods Of Information Transfermentioning

confidence: 99%

Factors Driving Aquaculture Technology Adoption

Kumar

Engle²,

Tucker

2018

199

103

“…According to Hatch and Tai (1997), the frontier production function approach defines the TE in two ways: (1) input‐oriented, which is defined as a set of inputs to achieve maximum output; and (2) output‐oriented, which is defined as a minimum set of inputs required to produce a given output. Farrell (1957) was the first to propose the concept of TE.…”

Section: Methodsmentioning

confidence: 99%

“…Coelli et al (2005) conceived that farms could increase the output growth or increase their farm productivity by making more efficient use of inputs, operating closer to the technology and production frontier. Sharma and Leung (2003) and Hatch and Tai (1997) reported that production frontiers had been used for efficiency measurement of agriculture and other industries, but applications of production economics/production frontiers in aquaculture production are very limited. Therefore, empirical analysis identifies factors affecting the TE, AE, and EE is important to determine the benefits that can be obtained when improving shrimp production with given technological innovations.…”

Section: Introductionmentioning

confidence: 99%

Assessment of technical, economic, and allocative efficiencies of shrimp farming in the Mekong Delta, Vietnam

Duy

Nga

Berg

et al. 2022

This study applied a stochastic frontier production model to analyze the technical (TE), allocative (AE), and economic (EE) efficiencies of intensive shrimp farming households, and to identify socioeconomic and shrimp farm‐specific factors (farm size, labor, feed, seed, chemicals/medicine) that influence the TE, AE, and EE of shrimp production in the Ca Mau, Ben Tre, Bac Lieu, and Tra Vinh provinces of the Mekong Delta, Vietnam. The AE was calculated based on TE and EE. The stochastic frontier production and cost function model were used to evaluate the EE and TE at the shrimp farming household level. The results showed that the mean TE, AE, and EE of shrimp farming systems were 75%, 68.5%, and 61.4%, respectively. Age, gender, education, experience, cooperatives, and technical training significantly impacted the efficiency of shrimp production. The results suggest that shrimp farmers can improve shrimp productivity and EE by decreasing feed cost (FEE) and medicine/chemical cost (MED) of farm inputs. The study showed that shrimp farmers who participated in training activities, cooperatives, or management boards of aquaculture associations were more technically efficient than other farmers. The findings of this study provide essential information about the TE, AE, and EE of shrimp production, which can help local policy makers and shrimp farmers in the region to make better decisions on how to improve the EE and sustainability of shrimp production in the future. There is a need for recommendations on how to improve policies, technical guidance, and training courses on feed management and feeding practices, water quality, and disease management, to help shrimp farmers in the coastal provinces of the Mekong Delta to improve their shrimp production efficiencies in the future.

“…To the best of our knowledge this is the first attempt to analyze the technical relationships involved in the production of seabass and seabream in Greece as well as in other Mediterranean countries. However, several previous studies have used a production function analysis to study technical relationships in aquaculture (for a survey see Hatch and Tai 1997). For example, Lacewell et d. (1973), Lee (1983), and Nerrie et al (1990) used a Cobb-Douglas production function to analyze the Texas catfish industry, milkfish farming in Taiwan, and the west-central Alabama catfish industry, respectively.…”

mentioning

confidence: 99%

A Production Function Analysis of Seabass and Seabream Production in Greece

Karagiannis

Katranidis

2000

This paper analyzes the technical relationships involved in the production of seabass and seabream in Greece. The empirical findings indicate that the marginal productivity of juveniles and fish feed exhibit the largest fluctuates among fish farms, while at the same time consist of the most important inputs in the production of seabass and seabream. In contrast, little variation was found with respect to the marginal productivity of labor among fish farms. Returns to scale were found to be decreasing for all fish farms included in the sample. Estimates of Allen‐Uzawa partial elasticities of substitution indicated a strong complementary relation between juveniles and fish feed and labor along with a quite strong substitutability between fish feed and labor given the prevelance of use of mechanical feeders.