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Sustainability
Volume 11
Issue 5
10.3390/su11051465
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Article

The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis

by
Li Li
1,
Di Liu
1,
Jian Hou
2,*,
Dandan Xu
1 and
Wenbo Chao
1
1
School of Economics, Beijing Technology and Business University, Beijing 100048, China
2
School of Economics and Management, Beijing Forestry University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(5), 1465; https://doi.org/10.3390/su11051465
Submission received: 19 January 2019 / Revised: 2 March 2019 / Accepted: 6 March 2019 / Published: 9 March 2019
(This article belongs to the Special Issue A New Look at Economic Approaches to Environmental, Natural Resources and Energy Economics)
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Abstract

The negative effects of global warming are becoming more and more serious. The fundamental way to prevent global warming is by reducing carbon dioxide emissions. Achieving this has become a key concern for all countries. The logarithmic mean divisia index model was constructed to decompose the total carbon emission increment. Carbon finance effect was divided into green credit effect and carbon trading effect to analyze the impact of carbon finance on carbon emissions. The results showed that the total carbon emission reduction value caused by green credit effect from 2010 to 2016 in the Beijing-Tianjin-Hebei region was 66193.96 million tons, and the added value of carbon emission caused by carbon trading effect was 80266.68 million tons. There are regional differences in the effects of carbon finance on carbon emissions in these regions. It can be concluded that to a certain extent, green credit can reduce carbon emissions, and carbon trading can increase carbon emissions. Using the gradual expansion of carbon finance trading and market mechanism of carbon finance to solve the problem of carbon emission can improve the efficiency of carbon emission reduction.
Keywords: carbon finance effect; carbon emissions; logarithmic mean divisia index (LMDI) model; green credit; carbon trading carbon finance effect; carbon emissions; logarithmic mean divisia index (LMDI) model; green credit; carbon trading

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MDPI and ACS Style

Li, L.; Liu, D.; Hou, J.; Xu, D.; Chao, W. The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis. Sustainability 2019, 11, 1465. https://doi.org/10.3390/su11051465

AMA Style

Li L, Liu D, Hou J, Xu D, Chao W. The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis. Sustainability. 2019; 11(5):1465. https://doi.org/10.3390/su11051465

Chicago/Turabian Style

Li, Li, Di Liu, Jian Hou, Dandan Xu, and Wenbo Chao. 2019. "The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis" Sustainability 11, no. 5: 1465. https://doi.org/10.3390/su11051465

APA Style

Li, L., Liu, D., Hou, J., Xu, D., & Chao, W. (2019). The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis. Sustainability, 11(5), 1465. https://doi.org/10.3390/su11051465

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