Decomposing the Influencing Factors of Industrial Carbon Emissions : A Comparative Analysis Based on LMDI Decomposition and LN Decomposition

Industrial carbon emissions are one of the most important sources of greenhouse gases. In order to control and reduce carbon dioxide emissions, an effective analysis of the factors affecting emissions is needed. The current mainstream decomposition method for carbon emissions research, the LMDI decomposition method, can only explain the amount of emissions changes, but cannot explain the contribution of the stock portion. In order to reveal the impact of baseline and change on carbon emissions, consider factor decomposition studies in three different carbon emissions scenarios, including large carbon emission baselines with small changes, small carbon emission baselines and large changes, and carbon emissions. The reference amount is small and the amount of change is small. This paper selects Liaoning Province, Inner Mongolia Autonomous Region and Gansu Province, and uses LDMI and LN decomposition methods to consider the baseline and industrial carbon emissions trends for comparative analysis. The results show that: (1) The decomposition of carbon emission drivers by LMDI decomposition method is limited to dynamic changes and neglects stocks, and is not applicable to areas with large carbon emission standards and small changes. (2) The LN decomposition method can analyze the contribution of each impact driver to the change of total carbon emissions, but there is commonality in the decomposition of different carbon emission regions, that is, the primary and secondary order of driving factors and the mode of action for carbon emissions are the same. In short, in order to reduce the ambiguity and misleading of its policy recommendations, it is necessary to combine the LMDI decomposition method and the LN decomposition method to analyze the carbon emission factors, and highlight the efforts required to reduce carbon emissions in different development levels