Does green innovation reduce environmental degradation? A panel threshold analysis for BRICS countries.

In this present age, innovation has become inextricably tied to both long-term economic growth and environmentally sound development. In this context, the impact that environmentally focused technological advancements or innovations have on environmental quality is of the utmost importance. Therefore, the main goal of the present study is to determine how Green innovation (GI) affects environmental degradation in the BRICS countries from 1992 to 2021. The ecological footprint (EFT) is an indicator used in the study to measure environmental degradation. The study divides the components that contribute to the explanation into two categories: the GI threshold variable and the independent variables RE, GDP, and population (POP). Additionally, this study investigates the indirect impact of RE, GDP, and POP through the threshold effect of GI. The stochastic impacts of the explanatory factors are explored using sophisticated panel data estimation methods and a panel threshold model. According to the findings of the study, an improvement in environmental quality occurs when the threshold level of GI is achieved, which indicates that innovation in the form of a lower EFT is responsible for the improvement. In light of the findings, recommendations for policymakers and stakeholders in BRICS countries are to promote RE and drive GI.

The role of environmental transformational leadership in employees' influencing organizational citizenship behavior for environment well-being: a survey data analysis.

Many researchers and intellectuals focused on the topic of organizational citizenship behavior for the environment (OCBE); however, employees' pro-environmental behaviors, such as eco-helping, eco-civic engagement, and eco-initiatives, are often being ignored. Also, the investigation of the stimulating factors behind these behaviors remains weak. Hence, this research aims to explore the role of environmental transformational leadership (ELT) in these three types of organizational citizen behaviors for the environment (OCBE) considering the indirect effects of psychological empowerment and leader-member exchange (LMX). We examined the effects of meditation by using four steps for mediation analysis and the Sobel test. Chi-square (χ2) tests for observing the difference were also applied. The results from a survey of 500 employees from the manufacturing industry in China provide that environmental transformational leadership contributes indirectly and directly to promoting environmental behavior within organizations due to the inspirational nature of transformational leaders. Furthermore, the intentions of employees for organizational environmental behavior stimulate on account of a high sense of leader-member exchange and psychological empowerment. Based on these findings, the study suggests that leadership in organizations should facilitate their employees with psychological empowerment and sharing of information and initiative regarding the environment for boosting OCBE. It is also recommended that at the time of recruitment and selection of employees, they should be given orientations regarding environmental protection and resource conservation. Moreover, organizations should promote the transformational style of leadership to achieve environment-related goals.

Linking electricity demand and economic growth in China: evidence from wavelet analysis.

The study empirically examines the association between electricity demand and economic growth in China in a time-frequency framework. Wavelet coherence analysis and phase difference methods are applied to find the co-movement and causality between variables using monthly data for 1999 to 2017 time period. The results of the wavelet power spectrum show that both series have high fluctuations at high frequencies. The findings of wavelet coherence reveal co-movements between electricity demand and economic growth at different frequency levels. However, this association is stronger at low-frequency levels. Evidence from the phase difference indicates that electricity is causing economic growth with a positive sign. The results of wavelet-based correlation also show a high correlation between these two variables. For robustness analysis, linear and nonlinear causality tests are applied to find causality between variables over time. Both linear and nonlinear causality tests reveal bidirectional causality between variables. It corroborates the result of wavelet causality that both variables cause each other at different frequency levels.