References | Research topic | Drivers of CO2 emissions | Method | Period | Research findings |
---|---|---|---|---|---|
[50] | Analysed the sources of changes in CO2 emissions as well as the CO2 emission intensity in the manufacturing sector in Thailand | Activity, structural change, energy intensity effect, fuel-mix, emission factor | LMDI | 2000–2018 | The intensity effect increased the amount of CO2 emission and emission intensity. While the structural change effect reduced CO2 emission |
[51] | Decompose the source of changes in CO2 emission level and CO2 emission intensity in the manufacturing sector in Thailand | Activity, structural change, energy intensity, fuel-mix, emission factor | LMDI | 2005–2017 | Structural change effect lowers both CO2 emissions and emission intensity |
[52] | Decomposed the factors that affect the CO2 emissions of china’s manufacturing industry | Investment intensity, industrial scale, industrial activity, R&D efficiency, R&D intensity, energy intensity and emission factor | LMDI | 1995–2015 | The industrial activity effect was the most important factor leading to increased CO2 emissions in the manufacturing sector. On the other hand, energy intensity promoted the reduction in CO2 emission |
[53] | Decomposition analysis of decoupling of manufacturing co2 emissions in Indonesia | Energy intensity, Industrial economic structure, Economic activity, industrial energy mix, and emission coefficient factor | LMDI | 2012–2013 | Growth in the manufacturing industry was the main driver of increasing CO2 emissions, whereas reduction in energy intensity and energy consumption structure played an essential role in limiting these emissions |
[54] | Decomposition analysis of energy consumption of the Turkish manufacturing industry | Activity, structural effect, energy intensity | LMDI | 2005–2014 | The activity effect contributed significantly to energy consumption, while the structure and intensity effects were negligible |
Current study | Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation | carbon intensity, firm energy intensity, cost structure, asset-turnover, asset-to-equity, equity-funded production and productive capacity utilization | LMDI | 2010–2020 | Energy intensity and equity-funded production were the leading drivers of increased emissions, while productive capacity utilization reduced emissions |