Abd Rahim, Diah Retno Dwi Hastuti
Under normal natural conditions, fish production increases during the fishing season. However, climate change manifestations, such as extreme weather events, has significantly affected the fishing decisions of small-scale fishers. This study used quantitative along with a survey approach to investigate the impact of extreme weather events potentially cause by the climate change. The Cobb-Douglas production function model analyzes the regression estimation of catch production with the Ordinary Least Square (OLS) and maximum likelihood estimation (MLE) methods, using the logit model regression equation, which is the probability of a fisher's decision to increase the fish catch. This study found that fishing season, time at sea, fishing technology, and social conditions affected catch production during normal, natural conditions. This differs from the productivity under extreme weather conditions, presumably due to the climate change, which have a negative impact. When extreme weather occurs, the catch, fishing time, and formal education of the fishermen influence their decision to catch fish. Adaptation strategies play an essential role when extreme weather occurs, being a significant issue in economic development policy. Fishers can conduct fishing closer to the coastal areas for safety reasons. In addition, aquaculture production is an alternative to marine fishing and acts like an insurance for overcoming the uncertainty of income and feasibility of the capture fisheries. © 2023, BIOFLUX SRL. All rights reserved.
Department of Economics, Faculty of Economics and Business, Makassar State University, South Sulawesi, Makassar, 90222, Indonesia
