Abstract
This study explored a theoretical model of factors affecting employee turnover intentions in the energy-intensive industry from the perspective of environmental regulation through emission reduction policy. Moreover, we examined whether green transformational leadership has a negative effect on the perception of turnover risk of energy-intensive corporate employees and their turnover intentions; we collected data on 531 employees in the energy-intensive industries in China. Data analysis was conducted using exploratory factor analysis, reliability and validity analysis, stepwise regression model analysis, and a structural equation model to test the research hypothesis. The results revealed that environmental regulation through emission reduction policy has a significant impact on employee perception of turnover risk and turnover intention in energy-intensive industries in China. The perception of turnover risk has a greater effect on the turnover intention among employees than the emission reduction policy. Moreover, we found that the perceived risk of turnover has a mediating effect in the relationship between environmental regulation through carbon emission reduction policy and turnover intention. However, green transformational leadership has an inhibiting effect on the perception of turnover risk and turnover intention among employees. This research has crucial theoretical significance for the transformation of energy-intensive enterprises and promoting the sustainable development of energy-intensive enterprises in China.
Highlights
Climate change has gained much attention from the international community
We investigated the theoretical hypothesis model as the effects of the emission reduction policy on the perception of turnover risk and turnover intention among employees in an energy-intensive industry. ti means energy-intensive industry’ employee turnover intention, crp refers to the emission reduction policy, ptr implies the perception of turnover risk, gtl represents green transformational leadership, r means control variables, α represents constants, and μ represents the unobserved variables
Turnover intentions in the energy industry based on environmental regulation through a carbon emission reduction policy perspective, we conducted an exploratory factor analysis through using the principal components method and varimax rotation
Summary
Domestic and abroad, have begun to research low carbon policy, carbon emission taxes, and carbon trading issues to reduce carbon emissions [1,2]. Energy-intensive industries consume large amounts of energy and cause severe environmental pollution [3,4]. Following this context, many scholars have focused on localizing China’s energy transformation issues for policymakers, for instance, climate change policy and innovation, and environmental technical efficiency [5,6]; the development of renewable energy and environmental innovation while reducing carbon emissions and increasing environmental efficiency and environmental performance [7,8]; and increasing environmental total factor productivity [9]
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