This study reviewed and classified energy-emission-related IDA studies from 2016-2020 and assessed the relationship between the energy intensity of China and energy-emission-related IDA studies on China. Also, the study decomposed changes in China’s industrial sector’s energy consumption and emissions for 2016-2020 into contributing factors using Logarithmic Mean Divisia Index (LMDI). Findings show that of the three hundred and fifty-one energy-emission-related IDA studies, 66% of them were on China and the energy intensity of China decreased as energy-emission-related IDA studies on China increased with time within the study period indicating that research outcomes and recommendations were considered by policymakers. For the additive LMDI decomposition,  results revealed that there was a decrease in energy consumption occasioned majorly by energy intensity followed by energy structure. Also, results showed that the increase in emissions was caused predominantly by the carbon emission factor, followed by overall industrial activity. Though the decrease in industrial energy consumption indicates the application of research outcomes and engagement of energy-efficient technologies, there is still need for more environmentally friendly policies. The innovation in this study is the assessment of the impact of energy-emission-related IDA studies in China on energy intensity, industrial energy consumption, and emissions in China.