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Green economy has emerged as a significant pillar of sustainable development in the current global context, and the unpredictability of economic policy has progressively garnered the interest of businesses and government officials as one of the obstacles they must confront. This paper examines how uncertainty in the green economy impacts the green...
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... Spatial Durbin Model (SDM) was chosen for further investigation by comparing the corrected R 2 and maximum likelihood estimate findings, based on the Ansenlin criteria. Table 3, it can be seen that the goodness of fit of this model is 0.412, indicating the rationality of model construction and control variable selection. At the same time, the direct effect of economic policy uncertainty on green economic efficiency is -0.011 and meets the significance test at the 5% level. ...Similar publications
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This article examines how fuzzy logic can improve decision-making in the green economy. As sustainability and environmental concerns grow in importance in today's business and policy worlds, it is clear that intelligent and adaptable decision-making tools are necessary. Fuzzy logic, renowned for its capacity to deal with vague and uncertain data, provides a hopeful method for managing the intricacies of decision-making in the green economy. The text explores the theoretical basis of fuzzy logic and how it is applied in solving problems in environmental decision-making. By examining a variety of sources and real-life examples, the article underscores the benefits and success of fuzzy logic in enhancing resource distribution, evaluating risks, and developing strategic plans to promote sustainable actions. The results provide valuable information for researchers, policymakers, and practitioners looking for new ways to promote intelligent decision-making in the changing green economy.