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Understanding the complex interactions between the economy and the environment is crucial for promoting sustainable development and mitigating the negative impact of human activities on the Planet. The importance of this issue for Serbia is evident as the country strives to balance economic growth and environmental protection to ensure a sustainable and resilient future. Therefore, the main objective of this study is to investigate and model the relationship between CO2 emissions, economic growth, electricity consumption, and trade openness in Serbia. Initially, an Autoregressive Distributed Lag (ARDL) model is used to characterize the Environmental Kuznets Curve (EKC) using data from the period from 1995 to 2019, followed by the construction of a bootstrap logistic regression model to predict environmental quality in Serbia. Long-term estimates of the model confirm an inverted U-shaped relationship, where all three variables exert a statistically significant influence on CO2 emissions. In the short run, however, a causal relationship is only observed between electricity consumption and CO2 emissions. The logistic regression results show that all three factors significantly influence environmental quality. The study proposes policy recommendations for Serbia, such as promoting sustainable economic growth, implementing long-term programs to reduce CO2 emissions, reviewing trade policies to prioritize sustainable practices, and investing in renewable energy sources to reduce emissions. [ABSTRACT FROM AUTHOR]

The analysis of existing positive prophylactic effects of spending lime outdoors unequivocally imposes the need for organizing certain models of outdoor activities, but also for their further development, with regard to an aim which suits the actual current practical needs. The sample of participants for this study consisted of school children. 151 of them, with a chronological age of i 4. from South-East Serbia (Knjaževac, Zaječar and Niš), who completed a questionnaire consisting of 12 items. Statistical procedures were used which suit the requirements of the study: the t-test and an analysis of variance. Differences were determined in the responses in terms of gender, but also in terms of the cities in which the school children reside. By means of analysis and the feedback received on extracurricular outdoor activities, it is possible, on the basis of the obtained results of the survey of their effects, to determine quality and any further need for their organization, to form concrete suggestions and to build models which satisfy the actual needs of elementary school students. [ABSTRACT FROM AUTHOR]

Understanding the complex interactions between the economy and the environment is crucial for promoting sustainable development and mitigating the negative impact of human activities on the Planet. The importance of this issue for Serbia is evident as the country strives to balance economic growth and environmental protection to ensure a sustainable and resilient future. Therefore, the main objective of this study is to investigate and model the relationship between CO 2 emissions, economic growth, electricity consumption, and trade openness in Serbia. Initially, an Autoregressive Distributed Lag (ARDL) model is used to characterize the Environmental Kuznets Curve (EKC) using data from the period from 1995 to 2019, followed by the construction of a bootstrap logistic regression model to predict environmental quality in Serbia. Long-term estimates of the model confirm an inverted U-shaped relationship, where all three variables exert a statistically significant influence on CO 2 emissions. In the short run, however, a causal relationship is only observed between electricity consumption and CO 2 emissions. The logistic regression results show that all three factors significantly influence environmental quality. The study proposes policy recommendations for Serbia, such as promoting sustainable economic growth, implementing long-term programs to reduce CO 2 emissions, reviewing trade policies to prioritize sustainable practices, and investing in renewable energy sources to reduce emissions., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)