Abstract
Based on the international community’s analysis of the present CO2 emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon productivity. China’s contribution to carbon productivity is analyzed from the dimensions of influencing factors, regional structure and industrial structure. It comes to the conclusions that: (a) economic output, the provincial carbon productivity and energy structure are the most influential factors, which are consistent with China’s current actual policy; (b) the distribution patterns of economic output, carbon productivity and energy structure in different regions have nothing to do with the Chinese traditional sense of the regional economic development patterns; (c) considering the regional protectionism, regional actual situation need to be considered at the same time; (d) in the study of the industrial structure, the contribution value of industry is the most prominent factor for China’s carbon productivity, while the industrial restructuring has not been done well enough.
Highlights
CO2 emissions have become a major global issue with common concern by the international community
This paper is structured as follows: Section 2 describes the decomposition of the carbon productivity model based on Log Mean Divisia Index (LMDI); Section 3 introduces the data sources; Section 4 describes the specific decomposition of results; Section 5 discusses the factors influencing carbon productivity contributions from three dimensions—factors, region and industry structure—as well as the causes of the contribution value differences; Section 6 is the conclusion of this paper and gives some policy recommendations
When enacting differential economic development policies in China, the government often considers two types of policies: one is based on the geographical location and the other depends on the level of economic development, but when considering the different sections of the carbon productivity distribution, Table 4 shows a different revelation: (1) Distribution patterns of different regions have nothing to do with the Chinese traditional sense of regional economic development
Summary
CO2 emissions have become a major global issue with common concern by the international community. Based on the studies above, this article describes the subdivision of the factors influencing the carbon productivity and on the basis of the industrial structure and regional decomposition, the multidimensional factors, and a combined application of the LMDI decomposition model are established. As these three dimensions are independent from each other, the analysis on carbon productivity changes can be comprehensive and this model can explain the deeper reasons behind the changes. This paper is structured as follows: Section 2 describes the decomposition of the carbon productivity model based on LMDI; Section 3 introduces the data sources; Section 4 describes the specific decomposition of results; Section 5 discusses the factors influencing carbon productivity contributions from three dimensions—factors, region and industry structure—as well as the causes of the contribution value differences; Section 6 is the conclusion of this paper and gives some policy recommendations
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