Synergy and heterogeneity of driving factors of carbon emissions in China's energy-intensive industries

Liu, Jinpeng; Wei, Delin; Lan, Wu; Yang, Hao; Song, Xiaohua

doi:10.1016/j.ecolind.2022.109161

Cited by 19 publications

(6 citation statements)

References 50 publications

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“…As shown in Table 6, both the primary and quadratic coefficients for enterprise scale are negative and pass the t-test at the 1% significance level. Different from the linear relationship between enterprise scale and carbon efficiency Liu et al, 2022;Li et al, 2016;Ji et al, 2023), the results demonstrate that enterprise scale has a "first increase and then decrease" effect on carbon efficiency, which is consistent with the theory of economies of scale. Advanced energy efficiency and emission reduction equipment is expensive, making it affordable only for large and medium-sized enterprises.…”

Section: Benchmark Regressionsupporting

confidence: 73%

The driving factors and policy evaluation of China’s carbon efficiency from the perspective of the enterprise heterogeneity

Yang,

Zhao

et al. 2023

Front. Energy Res.

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The identification of factors that drive enterprise carbon efficiency and the assessment of current emission reduction policies from the perspective of enterprise heterogeneity are essential for designing more effective emission reduction policies that optimize the allocation of inter-enterprise resources. Using a panel of 602,470 observations of Chinese industrial enterprises over multiple years, we quantified the factors driving carbon efficiency and their contributions. We also examined the heterogeneity of these effects at the industry and regional levels. This was done by constructing multiple fixed effect models and the Shapley value decomposition model. Additionally, we evaluated carbon reduction policies related to the key driving factors, taking into account the heterogeneity of the enterprise. The study discovered significant variations in inter-enterprise carbon efficiency, with a trend of local leadership and overall trailing. Based on the results of Shapley value decomposition, industry differences, enterprise scale, and regional differences are the most critical factors affecting enterprise carbon efficiency. Based on the results of the t-test and robustness test, enterprise scale has a significant inverted “U”-shaped impact on that. The degree of impact is greater in the eastern region and related industries in China with higher levels of market development, environmental regulation, and carbon market penetration. Previous policies have overlooked the heterogeneity of carbon efficiency among enterprises, resulting in firms and regions with large production scales and high carbon efficiency shouldering a greater burden of emission reduction tasks. It is likely to encourage the flow of output away from enterprises or areas with high carbon efficiency and towards those with low carbon emissions, which hinders the improvement of overall carbon efficiency. The conclusions have valuable policy implications. These include the recommendation to reduce direct control of total emission reduction targets in carbon reduction policies. Instead, based on the inter-enterprise heterogeneity of carbon efficiency, the policies should focus on strengthening economic measures and developing specific carbon emission reduction policies at the provincial, industry, and enterprise levels.

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Section: Benchmark Regressionsupporting

confidence: 73%

The driving factors and policy evaluation of China’s carbon efficiency from the perspective of the enterprise heterogeneity

Yang,

Zhao

et al. 2023

Front. Energy Res.

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“…Liu et al (2022) performed a statistical analysis of the scale development of six energy-intensive industries. They revealed the heterogeneity of the driving effects of 10 key factors, including economic level, urbanization level, industrial structure, technological innovation, and environmental regulation [22]. Liu et al (2023) combined structural decomposition analysis and input-output subsystem analysis to build a decomposition model of influencing factors of carbon emissions in China.…”

Section: The Application Of the Stirpat Model In Finding The Driving ...mentioning

confidence: 99%

Research on Carbon Emission Characteristics and Differentiated Carbon Reduction Pathways in the Yangtze River Delta Region Based on the STIRPAT Model

Jian,

Shi,

Zhang

et al. 2023

Sustainability

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With the changes in the spatial structure of China’s economic development, urban clusters have become the primary carriers of China’s regional economy and green growth. We used annual data from 2010 to 2021 to study the carbon emission characteristics and carbon reduction pathways of 36 cities in the Yangtze River Delta region. Firstly, based on the decoupling elasticity coefficient and carbon intensity index, the researchers divided the cities in the Yangtze River Delta into six types of carbon emissions. Then, the STIRPAT model was used to regress the panel data of different carbon emission types for 11 years, analyze the driving factors of carbon emissions, and develop differentiated carbon emission reduction paths for cities with six carbon emission types. According to the results, the cities of Type I need to accelerate low-carbon technology innovation; the cities of Type II need to improve energy efficiency and strengthen low-carbon technology research and development; the cities of Type V need to suppress foreign investment in high-energy consumption and high-emission projects in the local area; the cities of Type VI need to accelerate the process of new urbanization and optimize industrial structure. However, the researchers found that the cities of Types III and IV have not yet received effective emission reduction pathways, and their emission reduction policies and measures need to be further studied.

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“…As the direct energy costs per cow were collected by different farm scales in provinces, the direct energy used per cow could be calculated based on the prices of energy. Given the increasing proportion of installed clean energy power generation [36,37], the national carbon emission factor of electricity is 0.5839 t CO 2 eq./MWh, which is used by the Ministry of Ecology and Environment of China in 2020 [38]. The GHG emissions of coal and diesel are the sum of methane (CH 4 ), nitrous oxide (N 2 O), and carbon dioxide (CO 2 ) emissions.…”

Section: The Calculations Of Ce and CImentioning

confidence: 99%

Sustainable Planning Strategy of Dairy Farming in China Based on Carbon Emission from Direct Energy Consumption

Wang

Zheng

et al. 2023

Agriculture

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The mechanical and electrical development in dairy farming in China increases energy-related carbon emission (CE). To support the sustainable planning strategy of the department, this study calculated the CE and the carbon emission intensity (CI) of the direct energy consumed in dairy farms from 21 provinces in China. Through four dimensions analysis including the national level, farm scale, inter-provincial distribution, and main producing area, this study illustrates the impact of the environment, production, and management on CE. The total CE of nationwide dairy farming was about 2.4 Tg CO2 eq. in 2019, and the CIs of the 21 provinces varied from 0.009 to 0.216 kg CO2 eq. per kg of milk. The results indicate that the management mode applied in large-scale dairy farms (500 heads and above) varies considerably due to inadequate adaptation to climate. In general, semi-arid and semi-humid regions are more suitable for dairy farming than arid and humid regions. In the main milk-producing area, the spatial aggregation effect is visible in the carbon reduction potential. The present study suggests that further steps to promote sustainability and milk productivity are embodied when the replacement of fossil fuels and the management standardization are adapted to regional characteristics.

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Synergy and heterogeneity of driving factors of carbon emissions in China's energy-intensive industries

Cited by 19 publications

References 50 publications

The driving factors and policy evaluation of China’s carbon efficiency from the perspective of the enterprise heterogeneity

The driving factors and policy evaluation of China’s carbon efficiency from the perspective of the enterprise heterogeneity

Research on Carbon Emission Characteristics and Differentiated Carbon Reduction Pathways in the Yangtze River Delta Region Based on the STIRPAT Model

Sustainable Planning Strategy of Dairy Farming in China Based on Carbon Emission from Direct Energy Consumption

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