Socio-Economic Factors Influencing White Shrimp Production in Chachoengsao Province, Thailand
Tammaroopa, Kanokwan; Suwanmaneepong, Suneeporn; Mankeb, Panya
Socio-Economic Factors Influencing White Shrimp Production in Chachoengsao Province, Thailand - Thailand IJAT 2016
Among the fishery commodities of Thailand, the frozen and processed shrimps were the most important exports for a period of not less than 30 years. However, shrimp farming industry in Thailand has suffered numerous predicaments such as decreasing in productivity and losses. Hence, currently, white shrimp (Litopenaeus vannamei) farming has been practiced for more than 90% of shrimp cultivation area. It could substitute for black tiger shrimp. Interestingly, this study aimed to examine social and economic data of white shrimp. The study was carried out in Chachoengsao province, which has white shrimp farming about 19,382 Rai, accounting for 9.56% of total white shrimp farming in the country. A simple random technique was adopted to select 45 farmers as samples. Descriptive statistics and multiple regression analysis were employed to analyse the data.
Shrimp
Shrimp Production
Socio-Economic Factors Influencing White Shrimp Production in Chachoengsao Province, Thailand - Thailand IJAT 2016
Among the fishery commodities of Thailand, the frozen and processed shrimps were the most important exports for a period of not less than 30 years. However, shrimp farming industry in Thailand has suffered numerous predicaments such as decreasing in productivity and losses. Hence, currently, white shrimp (Litopenaeus vannamei) farming has been practiced for more than 90% of shrimp cultivation area. It could substitute for black tiger shrimp. Interestingly, this study aimed to examine social and economic data of white shrimp. The study was carried out in Chachoengsao province, which has white shrimp farming about 19,382 Rai, accounting for 9.56% of total white shrimp farming in the country. A simple random technique was adopted to select 45 farmers as samples. Descriptive statistics and multiple regression analysis were employed to analyse the data.
Shrimp
Shrimp Production