---

---

Introduction: Fish consumption is increasing due to the global population growth. Therefore, taking advantage of new methods such as marine aquaculture can be a reliable source for the production of fish in the world. The purpose of this study is the spatial analysis of marine aquaculture farms in the coasts of Mazandaran province.
Materials and methods: In this study, three categories of criteria (water quality, economic-social and physical-environmental) were considered for spatial analysis of aquaculture farms in the coasts of Mazandaran, which are based on the Geographic Information System (GIS) and hierarchical analysis process (AHP), is used according to the definition of the decision law, and at the end, the existing aquaculture farms (9 farms) are analyzed using the Extract function.
Results and discussion: The results show that the location of the present farms can be transferred to more favorable areas with less risk. Among the existing farms, farms 1 and 2, located on the coasts of Joibar and Babolsar, have the most suitable condition and the highest amount of desirability. Also, the results of weighting between the three groups of water quality parameters show physical and socio-economic; Due to the importance of temperature, turbidity and chlorophyll criteria in marine aquaculture, water quality group has more weight than other groups (0.4034) and then the group of physical factors (0.3808) than social factors. (0.2168) more weight is given.
Conclusion: The findings of this study show the ability of GIS as well as satellite imagery to locate and evaluate marine aquaculture.

---

Aims: The aim of the present study is to evaluate the amount of tilapia fish consumption and the relationship between its consumption amount and some demographic characteristics Such as gender, age, occupation, education, marital status, occupation, number of household members and income.
Methods: The statistical population of this research is the whole country. A questionnaire was designed and sent to people electronically through virtual space. Correlation tests were used to evaluate the number of fish purchases per year as well as the amount of each purchase from the output of SPSS software and to investigate the existence of a significant relationship between consumption and demographic characteristics.
Findings: The results showed that Most of the female respondents are married, aged 20 to 35, employed and have bachelor's and master's degrees. Most of them are employees and earn between 3 and 6 million tomans. It was also found that most households (54%) buy fish up to 20 times a year. The average number of times of buying fish per year by the households of the consumption community was 45 times. Most households in the consumer society buy 2 kg of fish each time they buy. The number of households that consume more than 10 kg of fish per purchase was 3.3%. According to the obtained information, the average amount of fish per purchase was calculated to be 8 kg. The per capita consumption of tilapia in households consuming this fish was 4.2 kg.

---

Aims: The purpose of this research was to evaluate the consumer’s behavior of farmed carp in the north of Iran (Golestan, Mazandaran and Gilan province). Method: After defining the assumptions and designing the analytical-conceptual model based on the theory of planned behavior, a suitable questionnaire was developed and completed by the statistical community. In order to evaluate the intensity of the relationship between the research variables and the model elements, as well as to check the acceptance or non-acceptance of the assumptions, the structural equation modeling method (SEM) was used. Findings: Per capita fish consumption of farmed carp consumers is 5.3 kg. Of this amount, 400 grams are canned, 600 grams are consumed in restaurants and outside the home, and 2.5 kg are consumed at home. Per capita consumption of their farmed carp is 1.4 kg, so half of their consumption is from other fish.In this research, all hypotheses were confirmed, In this way, the effect of perceived usefulness, perceived risk and quality on attitude, the effect of normative beliefs, moral obligation and household income on subjective norms, the effect of control power, control belief, experimental records, advertising and education on the perceived behavior control, the effect of attitude, subjective norms and perceived behavior control on the decision to buy farmed carp and the effect of the decision to buy and perceived behavior control on the final behavior were reported to be significant (p<0.05). The values of the effect coefficients showed that the most effective variable on the attitude, subjective norms and perceived behavior control, is quality (with an effect coefficient of 0.46), income (with an effect coefficient of 0.44) and experience records (with an effect coefficient of 0.37), respectively. Also, among the three main elements of the model, the attitude had the greatest effect on the decision to buy and consume farmed carp (with an effect coefficient of 0.48).