Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect

Chen, Fang; Zhao, Tao; Wang, Di

doi:10.3390/ijerph19042007

Cited by 9 publications

(11 citation statements)

References 22 publications

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“…Rao, et al [49] set up a methodology of correlation effects decoupling index to discover the decoupling status and studied the decoupling of economic growth from carbon emissions in Yangtze River Economic Belt sectors. Based on Tapio decoupling theory, Chen, et al [50] analyzed the decoupling effects of 284 cities in China from 2005 to 2019, and aggregated the cities into four groups according to the decoupling effects.…”

Section: Decoupling Of Economic Development From Carbon Emissionsmentioning

confidence: 99%

Carbon Emission Measurement and the Decoupling Effect Under the "Double Carbon" Goal in Xi'an, China

HUANG

2023

系统科学与信息学报(英文)

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Cities generate more than 60% of carbon emissions and are the main battleground for achieving the target. However, there is no unified and standardized measurement methods of carbon emissions in cities. In this paper, we took Xi'an as an example and started by measuring carbon emissions with the new standards. Then, the decoupling of economic development from carbon emissions was studied according to the Tapio decoupling theory. Based on the generalized Divisia index method, the decoupling effort model was proposed to study the impact of carbon emission factors contributing to carbon reduction. The results show: (i) During the period 1995-2021, the carbon emissions of Xi'an increased rapidly, with an average annual growth rate of 6.06%, due to the accelerating pace of urbanization and industrialization. (ii) The energy consumption sector accounted for the largest share of carbon emissions, ranging from 77.38% to 89.46%. Xi'an's energy structure is primarily based on fossil fuels, especially coal, which holds a significant proportion. To achieve the "double carbon" goal, it is crucial to reduce the dependence on fossil fuels. (iii) The 10th Five-Year Plan was in the state of "expansive coupling", while other periods were in the "weak decoupling" state from the 9th to 14th Five-Year Plan periods. After the carbon peak year in the 15th Five-Year Plan, it would be in a state of "strong decoupling". The agricultural production account was the first to achieve a "strong decoupling" state. (iv) The government of Xi'an made efforts to decouple, but these were not enough. Technological innovation played a crucial role in the carbon reduction of Xi'an, and was a key factor in achieving the "double carbon" goal.Keywords "double carbon" goal; city carbon emission measurement; economic growth; decoupling

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Section: Decoupling Of Economic Development From Carbon Emissionsmentioning

confidence: 99%

Carbon Emission Measurement and the Decoupling Effect Under the "Double Carbon" Goal in Xi'an, China

HUANG

2023

系统科学与信息学报(英文)

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“…where C represents energy carbon emissions; E ij , EF ij and O ij denote the energy consumption, carbon emission factor and carbon oxidation rate of j energy sources in sector i, respectively; 44/12 is the carbon conversion factor. As electricity and heat are secondary energy sources, the carbon emission factors for each year will vary depending on the level of process and the type of energy source, so they need to be calculated separately, and the formulas for calculating the carbon emission factors for electricity and heat are as follows [35]:…”

Section: Carbon Emission Accountingmentioning

confidence: 99%

Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis

Xiao,

Yong,

et al. 2023

Sustainability

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High-carbon emission industries are the most important source of carbon emissions in the Zhejiang Province. Due to the differences in the development level of various industries, it is necessary to adjust the carbon emission reduction strategies of various industries. As the first ecological province in China, the promotion of carbon emission reduction in high-carbon industries in the Zhejiang Province plays an important leading role in the development of low-carbon economy in other industries and other provinces in China. Taking eight high-carbon industries in Zhejiang Province as the research object, this paper uses the LMDI factor decomposition model to deconstruct the influencing factors and effects of carbon emissions in eight industries in the Zhejiang Province from 2010 to 2021. On this basis, the Tapio decoupling model is applied to study the reasons and driving factors of the decoupling between economic growth and carbon emissions. The results showed that: (1) During the study period, the total carbon emissions of eight industries in the Zhejiang Province increased by 24,312,200 t, showing an overall upward trend. (2) The effect of economic growth and population size led to the rapid growth of carbon emissions in eight industries in the Zhejiang Province, and the effect of energy intensity on carbon emission reduction was the most significant; the effect of industry structure presented a trend of first promoting and then inhibiting, and the effect of carbon emission coefficient always inhibited carbon emissions. (3) The population size has restricted decoupling efforts; energy intensity has the greatest impact on the realization of industry decoupling; energy structure and industry structure decoupling efforts are small; the carbon emission coefficient has always influenced decoupling efforts. This research paper will provide suggestions and policies for the development of low-carbon economy in Zhejiang Province.

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“…Tapio decoupling elasticity model considered in this study is a further supplement and improvement to the decoupling index model of the Organization for Economic Cooperation and Development (OECD). This model effectively alleviates the calculation deviation caused by the highly sensitive or extreme selection of the initial and final values of the OECD index model and exceedingly improves the objectivity and accuracy of decoupling relationship measurement and analysis (Chen et al, 2022).…”

Section: Tapio Decoupling Modelmentioning

confidence: 99%

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

Xie

Zhang

et al. 2022

Front. Energy Res.

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China’s ambitious measures for developing a low-carbon economy led to the “double carbon” target initiation. Under this national goal, reaching peak carbon emissions by 2030 is desired. This should not come at the cost of economic growth; which means carbon emissions can be reduced while economic growth can be achieved simultaneously. To realise this strategic reform, the first pilot ecological civilisation zone in Fujian Province of China was initiated; its outcome is set to be the responsible case for such initiations aiming at increased low-carbon economy development. Therefore, it is essential to investigate the relationship between carbon emissions and economic growth based on the evidence. Hence, we applied a model that combines the Tapio and Coupled coordination. Combining the Tapio and the coupled coordination models allows us to analyse carbon emissions and economic growth in Fujian Province over 20 years, i.e., 2001–2020. First, we divided the urban-rural integration process into four stages following China’s Five-Year Plan (FYP): T1 (2001–2005), T2 (2006–2010), T3 (2011–2015), and T4 (2016–2020). Second, ArcGIS mapping was used to represent the spatial evolution pattern of low-carbon economic development in Fujian Province. We observed that the low-carbon economy in Fujian Province had reached a point where the economic growth rate has already exceeded its carbon emission growth rate and is currently in a weak decoupling state. In addition, there observed a bifurcation pattern between carbon emissions and economic growth, especially in the coastal cities that are out of balance, whereas the inland cities are being coordinated. Overall, it is observed that the concept of ecological civilisation is crucial for China to achieve the “double carbon goal,” and it is high time to create accelerating measures that guide the integration of urban and rural areas in the future with appropriate infrastructure.

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Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect

Cited by 9 publications

References 22 publications

Carbon Emission Measurement and the Decoupling Effect Under the "Double Carbon" Goal in Xi'an, China

Carbon Emission Measurement and the Decoupling Effect Under the "Double Carbon" Goal in Xi'an, China

Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis

Analysis of Regional Carbon Emission Decoupling Coupling in China Based on ArcGIS Analysis-Empirical Evidence From Urban-Rural Integration in Fujian Province

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