This study aims to assess the household diversification of coastal fishing on coastal communities' welfare in the District of Kabila Bone, since August 2019-November 2019, 184 respondents, with a survey method. The data collected are primary and secondary data was done by using observation, interview techniques, documentation techniques. The lives and livelihoods of coastal fishing communities are very vulnerable to climate change and the environment. Diversification of fishermen's income sources outside of fisheries can be an effective way to overcome environmental change's adverse effects. This study aims to analyze the effect of business diversification on welfare, environmental sustainability, and welfare on environmental sustainability. The data collected are primary and secondary data, which is done using observation, interview, and documentation techniques. The independent variable is selected according to considerations based on the empirical conditions of the coastal area, the researcher's ability and the availability of supporting theories, and the characteristics of the research area. The researcher's ability and the availability of supporting theories, and the characteristics of the research area. The independent or exogenous variables chosen are fishery business (X1), livestock business. Based on the model developed from the relevant theory, the endogenous variables are welfare (Y1) and environmental sustainability (Y2); the model is tested using the PLS-based Structure Equation Model (SEM). The researcher's ability and the availability of supporting theories, and the characteristics of the research area. The independent or exogenous variables chosen are fishery business (X1), livestock business. Based on the model developed from the relevant theory, the endogenous variables are welfare (Y1) and environmental sustainability (Y2); the model is tested using the PLS-based Structure Equation Model (SEM).The model developed from the relevant theory, then tested on a model using the Structural Equation Model (SEM) based on SMART PLUS. The results of the analysis of effort diversification models suggest that the utilization of environmental services does not affect coastal communities' welfare.
Investigating the effects of climatic variables and reservoir on the incidence of hemorrhagic fever with renal syndrome in Huludao City, China: a 17-year data analysis based on structure equation model
