Abstract: The frequency and intensity of natural disasters are increasing with the effects of climate warming. The impact of climate disasters on economic development is not completely consistent. In this paper, Meta-regression analysis method is used to explore the general rules of how climate-related disasters affect social economy and the bias sources of result differences with 77 research papers and 1833 parameter estimates collected between research literatures from six aspects，which are data sources, disaster types, disaster variables, resilience factors, estimation methods and publication characteristics. The results show that: (1) climate-related disasters have significant impacts on both direct and indirect economies, but there are significant publication biases in direct economic loss studies. (2) The time span of disasters and the level of economic development in the original research literature have a great impact on the research results. The overall results of empirical research show that the impact on areas with low development level is more obvious. (3) Resilience factors such as GDP, education, investment, openness, population density, institutional level and disaster aid affect the research results in varying degrees, and there are differences in the role of direct economic losses and indirect economic losses. The specific economic impacts and mechanisms of various resilience factors in different research samples need to be clarified in the future. The conclusions obtained in this paper can provide new ideas for economic research on climate disasters.