As an emerging Chinese indigenous leadership style, paradoxical leadership has received considerable attention from researchers. Many studies have demonstrated the positive impact of paradoxical leadership on employees, teams, and organizations; however, there is less information on how paradoxical leaders influence their own work outcomes. On the basis of self-regulation theory, in this study, we examined the impact of paradoxical leadership on leaders’ task performance. In addition, we investigated the mediating effects of job crafting and career resilience on this relationship. Through a survey of 120 leaders and 271 of their immediate followers, our empirical analysis found the following: (1) paradoxical leadership was positively related to leaders’ task performance, (2) job crafting mediated the relationship between paradoxical leadership and leaders’ task performance, and (3) career resilience positively moderated the relationship between paradoxical leadership and job crafting, and had an indirect effect on task performance through job crafting. Our model offers novel insights into the paradoxical leadership literature and implications for improving leaders’ job crafting and task performance.

This paper constructs a decoupling model for four major economic regions of China, based on the Tapio decoupling index method and VAR model for carbon emissions to compare and measure the impact of decoupling between carbon emissions and economic growth in China during 1997 to 2019. The results show that the degree of decoupling between economic growth and carbon emissions varies among different economic regions, and the decoupling status is better in all regions at the beginning of the 21st century. In general, the decoupling status in the eastern and western regions is more ideal than that in the central and northeastern regions. The impulse response and variance decomposition results show that renewable energy consumption could always reduce the growth of carbon emission intensity, and its effects are most significant in the western region. The above findings help to reveal the link between economic growth, renewable energy consumption and carbon emissions in China in recent years, and how to ensure a stable economic growth in China while increasing the share of clean energy consumption in each region to achieve carbon neutrality.

With economic growth and rising incomes, increasing consumption of fossil energy is leading to environmental pollution and climate change, which requires increased innovative inputs to promote the efficiency of renewable energy use. Considering the important impact of innovation input and climate change on renewable energy consumption, greenhouse gas emissions, and green economic growth, this study uses simultaneous equation and sys-GMM model to explore the dynamic nexus of innovation input, climate change, and energy-environment-growth in OECD and non-OECD countries, with panel data covering 2000 to 2019. The empirical results show that renewable energy consumption in non-OECD countries significantly promoted green economic growth, while OECD countries did the opposite. Moreover, renewable energy consumption significantly reduces greenhouse gas emissions caused by climate change, especially for OECD countries. When the level of economic growth exceeds a certain inflection point, greenhouse gas emissions begin to turn from positive to negative, which further verifies the EKC hypothesis. In addition, this study found that innovation input has significantly increased renewable energy consumption, reduced greenhouse gas emissions, and promoted green economic growth in OECD countries. Finally, this study also found that the impact of innovation input in OECD and non-OECD countries on the energy-environment-growth nexus is greater in the short term and more significant in the medium and long term, while the impact of climate change on the energy-environment nexus in OECD and non-OECD countries is more significant in the medium and long term.

With the continuous increase in global fossil energy consumption, carbon dioxide emissions and the greenhouse effect have gradually increased. This study uses a simultaneous equations model to explore the dynamic nexus of fossil energy consumption, temperature, and carbon emissions in OECD and non-OECD countries, with panel data from 2004 to 2019. The results show that the improvement of international competitiveness has reduced the frequency of extreme weather in OECD and non-OECD countries, significantly reducing fossil energy consumption in non-OECD countries and carbon emissions in OECD countries. Sustainable economic growth has significantly reduced fossil energy consumption in OECD countries but increased carbon emissions, especially in non-OECD countries. In addition, in the short term, the improvement of international competitiveness has significantly reduced fossil energy consumption and carbon emissions in OECD and non-OECD countries. In the long term, the improvement of international competitiveness has a greater impact on reducing fossil energy consumption and carbon emissions in non-OECD countries and has a significant impact on reducing the frequency of extreme weather in OECD countries. Moreover, the long-term impacts of sustainable economic growth on fossil energy consumption and carbon emissions are more significant.

Driven by the goals of “carbon peak and carbon neutrality”, China’s photovoltaic industry has experienced rapid expansion, which provides a unique opportunity to study dynamic spillover effects within a structured industry framework. This study uses data from January 2017 to December 2024 to fill the research gap by exploring the complex spillover effects between the upstream, midstream and downstream of the photovoltaic industry chain. Empirical analysis based on the TVP-VAR-DY and TVP-VAR-BK models shows that: (1) Spillover effects initiated by specific markets, as well as their received impacts, exhibit significant time-varying asymmetries driven by major policy shifts and extreme events. (2) Spillover effects among key material markets are significantly higher under high-frequency trading conditions than under medium or long term. (3) Upstream silicon materials and photovoltaic modules are considered the main sources of risk transmission, while mid- and downstream links such as silver paste and photovoltaic glass are the main recipients of risk. The transmission of cross-market risks usually follows a feedback model, that is, the “upstream drive, downstream response” contagion pattern. In addition, the dynamic risk hedging strategies among key material markets in the photovoltaic industry provide empirical evidence for industry stakeholders and policymakers to implement risk management strategies.