The asymmetric relationship between public-private partnerships investment in energy and environmental degradation for sustainable development: new evidence from quantile-on-quantile regression approach.

According to the United Nations Agenda, the 2023 sustainable environment is necessary to secure this planet's future; public-private partnerships investment in energy is crucial to sustainable development. The research examines the quantile association between public-private partnership ventures in energy and environmental degradation in ten developing nations, and data is used from January 1998-December 2016. The advanced econometrics quantile-on-quantile regression approach is used to control the issues of heterogeneity and asymmetric relationship. According to the quantile-on-quantile approach, there is a strong positive association between public-private partnerships in energy and environmental degradation in Argentina, Brazil, Bangladesh, and India. But the negative relationship is observed on different quantiles of China, Malaysia, Mexico, Peru, Thailand, and the Philippines. The findings suggest that the world needs to act as a single community and divert its resources toward renewable energy sources to control climate change; also, to accomplish the UN 15-year road map of Agenda 2023 with 17-SDGs; out of these 17 sustainable goals, SDG-7 is related to affordable and clean energy, SDG-11 is about sustainable cities and communities, and SDG-13 focuses on climate action for sustainable development.

Ethical leadership: Exploring bottom-line mentality and trust perceptions of employees on middle-level managers.

With the increased competitiveness and significance of the workforce, the responsibility of organizational leaders has been increased to behave ethically and lead their followers in the best ethical way. This study aims to explore how the perception and trust of followers of their middle-level managers can shape the ethical behavior of middle managers and their bottom-line mentality. This qualitative study was conducted using semi-structured interviews from 10 employees of two Pakistani textile organizations-selecting five employees from each. Thematic analysis was used for data analysis. The findings reported that the bottom-line mentality demands are given priority. Thus, to achieve these demands, ethical values are being ignored while the nature of the task and attitude of the supervisor leads towards the social undermining of the employees. Furthermore, it has been found that leaders' behavior and personality are more important in building trust and perception of employees, and this perception does not entail that leader will be acting ethically in real, but they are perceived to be. This study can provide valuable implications for policymakers, especially HR personnel, to device policies by considering ethical leadership practices. The findings of this research recommend that better performance and profit maximization by employees can be enhanced by reducing the bottom-line mentality of top management. Few scholars have elaborated on ethical leadership, the complexity of the leader-follower relationship, and individual perceptions. Behavioral aspects, bottom-line mentality, and trust from employees' perspective in ethical leadership have received little attention. In addition, this research has taken a step forward by exploring the collectivist country of Pakistan.

Nonlinear impact of municipal solid waste recycling and energy efficiency on environmental performance and economic growth: evidence from non-parametric causality-in-quantiles.

Waste recycling significantly contributes to reducing carbon emissions and other greenhouse gases, leading to enhanced environmental performance and safeguards natural resources. Therefore, this study examines municipal solid waste recycling and energy efficiency's impact on the environmental performance and economic well-being of the USA. Some studies have emphasized the usefulness of MSW and its indicators, but most of them are survey-based and illustrate the scientific process of disposing of waste. Hence, the study intends to analyze the connection among considered variables using the recently developed and advanced estimation procedure of nonparametric causality in quantile approach by analyzing the quarterly dataset for 1990(Q1) till 2018(Q4). Through this technique, we have examined the causal relationships in different quantiles. The causality-in-quantile outcome indicates the acceptance of the null hypothesis in different quantiles, especially at low and high tail quantiles, while at some quantiles, the null hypothesis rejection is highlighted. This study suggests valuable implications for future studies, government, environmentalists, and policymakers.

Financial development, international trade, and environmental degradation: a nonlinear threshold model based on panel smooth transition regression.

Environmental degradation has severely affected the natural cycle of ecosystem. It's high time now and humans should execute strategies effectively to protect the further degradation. Initially, we need to understand the ways that might affect the environment. Thus, existing research is designed to explore the nonlinear association between financial development (FD) and carbon dioxide emissions (CO2) in the context of low-income countries by employing the yearly data of 1990-2016. The panel smooth transition regression model (PSTR) is applied, and the result confirmed that the nexus between the two variables are nonlinear. Moreover, it also shows that at a low regime, FD increases the CO2 emissions but as the economy of low-income states progress to the high regime, the association between the two variables becomes negative and significant. The study also confirms that FD can reduce CO2 emissions once it reaches a certain threshold point. Based on these findings, new insights are provided for the policymakers, and several policies are suggested to improve the environmental quality in low-income countries.

Threshold non-linear relationship between globalization, renewable energy consumption, and environmental degradation: evidence from smooth transition models.

The study intends to explore the following objectives: initially, to examine the non-linear connection between globalization, renewable energy consumption, and environmental degradation. Secondly, to evaluate the role of globalization in increasing or decreasing the carbon emission at the threshold level for different income countries. Panel smooth transition regression (PSTR) is an econometric technique that has been applied for estimation utilizing the data from 1995 to 2017. Results signify that the globalization and environmental degradation have non-linear connection and depends on different regimes. Moreover, on the basis of estimation, it is considered that the effect beyond the threshold level can be damaging, whereas less than the threshold level globalization is positively related to carbon emission. Hence, the inverted U-shaped relation denotes that at a specific level, the rise in globalization reduces carbon emission, but later, a specific level globalization accumulates carbon emission. Carbon emission has non-linear and regime-dependent relation to economic development and renewable energy consumption. The study provides recommendations that can assist policymakers.