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Global warming is a life-threatening risk to mankind and its survival; to combat this risk, the considerable contribution of renewable energy cannot be overlooked for sustainable growth globally. The aim of this paper is to scrutinize the threshold level and asymmetric connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in dissimilar regimes of the different income levels of 123 countries from 1995 to 2019 by applying an advance technique PSTR (panel smooth transition regression) model. The PSTR model results imply that the connection between renewable energy consumption and agricultural productivity at all the estimates is non-linear. Moreover, in all countries, there is a positive and significant connection among renewable energy consumption, foreign direct investment, financial inclusion, and agricultural productivity in both low and high regimes, except the carbon emission, which has a negative and significant impact on agricultural productivity. Based on the results of this study, the recommendations are as follows: (i) to increase renewable energy consumption, efficient-energy resources should be used by farmers for the agricultural process; (ii) the dependence on non-renewable energy resources should be minimized and shifted towards natural and renewable resources., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study examines long-term connection and short-term dynamics concerning ecological footprint and six independent variables, named fossil fuel consumption, energy consumption, financial depth, trade, GDP, and ICT for Pakistan's duration from 1960 to 2019. The "QARDL-quantile autoregressive distributed lag" technique is used for time series and panel estimation. The QARDL model exhibits the connection between variables over the quantiles range, reflecting varying stages of Pakistan's ecological footprint. The results exhibit noticeable quantile-varying co-integration connection among ecological footprint and six independent variables. The results accentuate the significant influence of energy consumption, strong financial position, economic growth, and ICT technologies on ecological well-being, which assists in understanding short and long-term impact on the environment in Pakistan., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study analyzes the causal connection between financial inclusion and carbon emission in selected South Asian countries through a quantile technique-based linear Granger and non-parametric causality test. The analysis of the study covers quarterly data from 1980 Q1 to 2019 Q4. However, the linear Granger causality assessment outcome does not indicate any causal relationship between financial inclusion and carbon emission. In contrast, results from non-parametric assessment reveal a non-linear connection between the variables. The non-parametric test results of the South Asian countries exhibit that financial inclusion leads to carbon emission, which instigates the deterioration of the environment, except for Bhutan. Subsequently, creating awareness by promoting renewable energy resources is essential while investing in fuel-efficient technology to reduce the dependence on fossil fuels. The results of this study provide significant information to the governments and policymakers in emerging countries to improve financial literacy among people to reduce the risk of global warming by encouraging investment in energy-efficient resources., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study aims to analyze two objectives: first is to explore the non-linear relationship between tourism development, economic growth, urbanization, and environmental degradation, and also to analyze the threshold level of the contribution of tourism development on environmental degradation in top tourist arrival destinations. We applied the newly proposed econometric method panel smooth transition regression (PSTR) framework with two regimes on yearly panel data from 1995 to 2017. Findings suggest that the relationship between tourism development and environmental degradation is non-linear and regime dependent. Furthermore, the findings indicated that the relationship above the threshold level is negative and significant, while below the threshold, tourism development is positive and significant effect on environmental degradation. Tourism development and environmental degradation also exhibit the inverted U-shape relationship meaning that at a particular point, increase in tourism development increases in environmental degradation but after a particular point, increase in tourism development decreases the environmental degradation. The economic growth and urbanization also portray a non-linear and regime-dependent relationship with environmental degradation. The study assists policies and empirical information.