Role of environmental emissions on work engagement in industrial sectors: An exploratory study of the workforce, resource planning, and environmental performance in sustainable development

The study is conducted for 1991-2021 using annual data for China to examine the non-linearity among environmental emissions and work engagement using the Non-Linear Autoregressive Distributive Lag (NARDL) modeling approach. The study's findings reflect that, in contrast to the widespread assumption, asymmetric relationships exist between CO2 emissions and employee engagement in the short and long run for the industrial and services sectors. Hence, the study reflects that considering the linear association between environmental emissions and work engagement may not be accurate and results in biased outcomes. Based on the study's results, the policymakers and environmentalists are suggested to achieve the sustainability targets by minimizing carbon emissions by utilizing environmentally friendly technologies and efficient energy.

Automated summary

The study analyzes annual data for China from 1991 to 2021 using the Non-Linear Autoregressive Distributive Lag (NARDL) modeling approach to examine the non-linear relationship between environmental emissions and work engagement. Contrary to common assumptions, the study finds asymmetric relationships between CO2 emissions and employee engagement in the short and long run for the industrial and services sectors. Therefore, linear associations between environmental emissions and work engagement may not accurately capture the dynamics and can lead to biased outcomes. Based on the findings, policymakers and environmentalists are recommended to reduce carbon emissions and achieve sustainability targets by utilizing environmentally friendly technologies and efficient energy.