Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors

Wang, Miao; Feng, Chao

doi:10.1016/j.apenergy.2017.01.007

Cited by 225 publications

(78 citation statements)

References 84 publications

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“…Even though there are few studies set specific industries as their objects, they usually focuses on high-emission industries such as industrial sector and electric power sector [19][20][21][22], and analysis of carbon emissions of transportation sector is not as mature as the studies on other sectors or the studies at the national level, especially in China and other developing countries. In addition, to adapt to the characteristics of the highways and waterways markets, in 2008 and 2013, the Ministry of Transport of China respectively carried out the national highways and waterways traffic volume survey [23] and the national economic statistics of transportation sector survey [24], which changed the scope of statistics and brought difficulties in analyzing the impacts of carbon emissions of transportation sector.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

et al. 2017

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China has now become the largest country in carbon emissions all over the world. Furthermore, with transportation accounting for an increasing proportion of CO 2 emissions year by year, the transportation sector has turned out to be one of the main sectors which possesses a high growth speed in CO 2 emissions. To accurately analyze potentially influencing factors which accelerate the process of CO 2 emissions of transportation sector in China, based on carbon accounting by the checklists method of Intergovernmental Panel on Climate Change's (IPCC), in this paper, we propose a decomposition model using Logarithmic Mean Divisia Index (LMDI) decomposition analysis technology and modified fixed growth rate method. Then effects of six influencing factors including energy structure, energy efficiency, transport form, transportation development, economic development and population size from 2001 to 2014 were quantitatively analyzed. Consequently, the results indicate that: (1) economic development accounts most for driving CO 2 emissions growth of the transportation sector, while energy efficiency accounts most for suppressing CO 2 emissions growth; (2) the pulling effects of natural gas, electricity and other clean energy consumption on CO 2 emissions growth offset the inhibitory effects of traditional fossil fuels, making energy structure play a significant role in promoting CO 2 emissions growth; (3) the inhibitory effects of railways and highways lead to inhibitory effects of transport form on CO 2 emissions growth; (4) transportation development plays an obvious role in promoting CO 2 emissions, while the effects of population size is relatively weaker compared with those of transportation development. Furthermore, the decomposition model of CO 2 emissions factors in transport industry constructed in this paper can also be applied to other countries so as to provide guidance and reference for CO 2 emissions analysis of transportation industry.

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Section: Introductionmentioning

confidence: 99%

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

et al. 2017

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“…As shown in Figure , the total CO 2 emissions from China's tourism industry increased continuously, reaching 268.38 Mt in 2016, which was approximately five times the level in 2005. The average annual growth rate of China's total CO 2 emissions was 16.01% during this period, which exceeds the 11% growth rate of total CO 2 emissions generated by all industries in China estimated by Wang and Feng (). The rapid growth in tourism CO 2 emissions indicates the urgent need for mitigation.…”

Section: Resultsmentioning

confidence: 52%

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Zha

Tan

Yuan

et al. 2019

Sustainable Development

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The tourism industry is a nonnegligible contributor to global CO2 emissions, and formulating policy around emission reduction for sustainable tourism requires understanding the drivers contributing to the growth of tourism CO2 emissions. This paper develops an alternative decomposition technique that uses data envelopment analysis (DEA) and distance functions to examine the sources of change in tourism CO2 emissions; this method offers advantages in measuring the contribution of factor inputs to CO2 emissions change and has flexible data requirements. An empirical application using provincial panel data from China's tourism industry during the 2005–2016 period is performed. The results indicate the following: The scale effect induced by economic growth in tourism was the largest factor driving CO2 emissions growth; technical change played a dominant role in reducing CO2 emissions, and technical efficiency change exerted a negligible positive effect on the CO2 emissions increment; the emissions indices associated with labour, capital, and attractive resources generated significant promoting effects on CO2 emissions growth; and the emissions index associated with energy had a minor inhibitory effect. In addition, the drivers of tourism CO2 emissions clearly varied by region and province, and three driving modes of change in provincial CO2 emissions were summarized. This study extends the application of decomposition techniques in the field of tourism studies, and our results provide valuable insights for policymakers and business entities aiming to adopt measures to curb tourism CO2 emissions and promote sustainable tourism.

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“…The LMDI method has emerged as the preferred method for energy decomposition analysis at the level of sectors (Olanrewaju 2017;Norman 2017;Ang and Xu 2013), countries (Wang and Feng 2017;Sumabat et al 2016;Cansino et al 2015;Oh et al 2010;O'Mahony et al 2012;Zhang et al 2016;Kerimray et al 2017) and multi-country comparisons (Reutters et al 2017;Andreoni and Galmarini 2016;Fernández González 2015;Moutinho et al 2016;Bataille et al 2007). The typical LMDI application involves factoring energy (or emissions), with energy intensity as one of the factors.…”

Section: Methodsmentioning

confidence: 99%

Reconciling energy efficiency and energy intensity metrics: an integrated decomposition analysis

Torrie¹,

Stone

Layzell

2018

Energy Efficiency

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We develop and illustrate a method for reconciling index decomposition analysis of energy intensity with physically based, sector-specific energy efficiency indicators. Decomposition analysis of individual sector intensity contributions to total energy intensity is nested within the higher-order decomposition analysis of E/GDP such that the contribution of energy efficiency gains to changes in total energy intensity can be determined. Energy, economic and physical activity data for Canada for the period 1995-2010 are used to illustrate the method. Intrasector structural factors were found to be both positive and negative and to be significant contributors to energy intensities in both the business and household sectors. In aggregate, intrasectoral structural change offset energy efficiency gains and put upward pressure on (E/GDP) between 1995 and 2010 but was three times smaller than the offsetting decline in E/GDP due to intersectoral structural change. The method can be used for assessing the contribution of energy efficiency to sector energy intensities; for placing energy efficiency policies in the larger context of the other factors that determine an economy's energy intensity and greenhouse gas emissions; for identifying nonefficiency policy targets for improving energy productivity; and for increasing the sophistication of forecasting and scenario analysis of future levels and patterns of fuel and electricity consumption and related greenhouse gas emissions.

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Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors

Cited by 225 publications

References 84 publications

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China

Reconciling energy efficiency and energy intensity metrics: an integrated decomposition analysis

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Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors

Cited by 225 publications

References 84 publications

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

Factors Affecting Transportation Sector CO2 Emissions Growth in China: An LMDI Decomposition Analysis

Decomposition analysis of tourism CO2 emissions for sustainable development: A case study of China

Reconciling energy efficiency and energy intensity metrics: an integrated decomposition analysis

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Product

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Decomposition analysis of tourism CO₂ emissions for sustainable development: A case study of China