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International Journal of Nonlinear Analysis and Applications، جلد ۱۵، شماره ۱، صفحات ۲۱۵-۲۲۴
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عنوان انگلیسی Study of increasing production using improving technical efficiency in fisheries in the north of the country (Case study: Kilka fishing on the shores of Mazandaran)
چکیده انگلیسی مقاله The population of fish stocks is constantly exposed to threats and invasion and finally, the problem of extinction due to some reasons. In this study, in order to estimate the technical efficiency of the Kilka fishing industry, the activities of 30 fishing fleets were investigated by the random border production function method and with the proposed maximum likelihood model of Battese and Coelli. Four independent variables used in this research are the number of vessels, the number of manpower, the fishing capital, and the number of nets. The factors selected as affecting the inefficiency are the fishermen’s age, the fishermen’s education level, the fishermen’s second job, the catch manager’s working record, the catch manager’s education level, the number of stormy days and The number of fishing hours. Error terms (deviations from the efficient boundary) have been divided into two elements as disturbance and inefficiency. The estimation of the technical efficiency is based on the final model at different levels based on which the highest technical efficiency in this group is 0/97 and the lowest is0/46. The mean technical efficiency of the exploiters is 0/87. The range between the minimum and maximum efficiency has been calculated as0/41. The results showed that efficiency decreased by decreasing stormy days and increasing fishing hours. In contrast, efficiency decreases with the increasing number of stormy days and decreasing fishing hours. It was also found that increasing the level of education of fishermen increases efficiency. The Kilka fishing industry was exposed to various risks, thus in this study, we get to analyze the types of risks such as the effects of the comb jelly (Mnemiopsis leidyi) and weather changes in the Kilka fishing industry.
کلیدواژه‌های انگلیسی مقاله Technical efficiency, Kilka, Random frontier function, The caspian sea, Mazandaran Province, Risk, Mont Carlo Simulation Method
نویسندگان مقاله Saeid Parichi |
Department of Environmental Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

Seyed Yaghoub Zeraatkish |
Department of Agriculture Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

Majid Ahmadian |
Department of Economics, University of Tehran, Tehran, Iran

Zahra Abedi |
Department of Environmental Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_7492_201ef11e5445dc2a3a7a0ceaac3dfa31.pdf
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