China’s intra- and inter-national carbon emission transfers by province: A nested network perspective

Han, Mengyao; Yao, Qiuhui; Lao, Junming; Tang, Zhipeng; Liu, Weidong

doi:10.1007/s11430-019-9598-3

Cited by 28 publications

(7 citation statements)

References 63 publications

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“…In terms of research on carbon transfer in China. Han et al (2020) found that Jiangsu, Shandong, Inner Mongolia, Hebei and Liaoning have the largest carbon emission outflows, with more than 70.00 Mt to other domestic provinces. While Henan, Shanxi, Guangdong, Inner Mongolia and Yunnan are major importing regions, most of which with more than 60.0 Mt of domestic carbon emission inflows, this partly explains the shift in China's carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

“Black box operation” in carbon reduction: Based on empirical evidence of carbon transfer by subsidiaries of Chinese enterprises

Luo

Feng

2023

Front. Environ. Sci.

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Avoiding the transfer of “carbon” and encouraging the digestion of “carbon” are essential to promote the green and low-carbon transformation of China’s economy. In accordance with the standpoint of off-site subsidiaries, this paper examines the transfer of “carbon” from high-carbon enterprises using the data of A-share listed companies from 2009 to 2018 using a DID approach and the 2013 China carbon emissions trading pilot as a quasi-natural experiment. As demonstrated by the reach findings: (1) Part of the effect of corporate “carbon reduction” is achieved by shifting high-carbon sectors. (2) As demonstrated in mechanism analysis, when high-carbon companies face the dual cost pressure of R&D expenditure and purchasing carbon trading rights, they will establish subsidiaries to avoid the parent company’s pressure to lessen emissions. As revealed in heterogeneity analysis. (3) companies with stronger R&D capabilities and higher success rates are more willing to respond to the impact of carbon trading policies with technological upgrades. Companies with weaker R&D capabilities and higher failure rates are more likely to choose to transfer “carbon” to avoid the “dual cost” of R&D failures. (4) Owing to the constraint of the migration threshold, the trajectory of “carbon” transfer is primarily domestic interregional transfer supplemented by cross-country transfer. (5) Larger enterprises emitting more “carbon”, are not only more likely to pay more “carbon” reduction costs in the face of carbon policy shocks, are but also more likely to shift “carbon”. This study not only provides a new perspective to explain the “carbon” transfer phenomenon in China, but also provides crucial policy implications for further strengthening environmental governance as well as regional joint prevention and control in China.

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Section: Introductionmentioning

confidence: 99%

“Black box operation” in carbon reduction: Based on empirical evidence of carbon transfer by subsidiaries of Chinese enterprises

Luo

Feng

2023

Front. Environ. Sci.

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“…In summary, cross-regional technical support and investment mechanisms should be encouraged (Shao et al 2020). Interregional cooperation should be strengthened to achieve the goal of reducing pesticide use and environmental risks (Han et al 2020). From the point of view of sectors, demand for telecoupled pesticide usage in the nonagricultural sector accounted for approximately 71% of the total telecoupled pesticide.…”

Section: Discussion and Policy Implicationsmentioning

confidence: 99%

“…At present, multiregional input-output (MRIO) analysis is a mature method used in telecoupling research to track the connection between sectors and regions and link environmental problems in production with consumption (Chang and Su 2021;Lenzen et al 2012;Yu et al 2013). MRIO has been used for telecoupling analysis in soil erosion , runoff distribution (Chang and Su 2021), carbon emissions (Han et al 2020), virtual water (Sun et al 2019), land use (Chung and Lee 2020;Sun et al 2017), and other fields (Lenzen et al 2012;Luo et al 2020;Yao et al 2018;Yu et al 2013). Yao et al (2018) reveal that the macro development of China's economy has boosted the total amount of soybeans exported by Brazil and other countries, resulting in the expansion of farmland and deforestation and damaging the Brazilian ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic development and tele-consumption contribute to the changes in pesticide use in China

Wang

et al. 2022

Preprint

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The massive use of pesticides has caused environmental problems, and it is urgent to reduce the use of pesticides. Pesticide use is closely related to social and economic activities, but few studies have quantified the contribution of socioeconomic factors to changes in pesticide use. Hence, based on the multiregional input–output (MRIO) model and structural decomposition analysis (SDA), this study quantified the contribution of pesticide use intensity, production structure, local consumption and distant consumption to changes in pesticide use in China from 2012 to 2017 and further analysed the effect of distant consumption on local pesticide use at the provincial and sectoral levels. The results showed that the total use of pesticides showed a downward trend during 2012-2017. Specifically, the intensity of pesticide use was an important factor for the decrease in pesticide use, resulting in a decrease of 4.9´105 tons of pesticide use. Nevertheless, local and distant consumption were the primary factors for the increase in pesticide use, resulting in increases of 4.37×105 and 1.21×105 tons, respectively. More importantly, provinces with high added value of primary industry bear the risk of pesticide pollution in provinces with high per capita GDP due to distant consumption. Moreover, the agriculture and food sectors are the most important sectors affected by distant consumption. Therefore, it is necessary to clarify provincial and sectoral responsibilities for pesticide use due to distant consumption and to encourage cross-regional technical support and sectoral cooperation for pesticide reduction.

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“…The study shows that cooperation and diffusion of emission reduction technologies can be effective suppress interprovincial carbon emissions transfer [ 13 ]. Han et al [ 14 ] explored the flow of carbon emissions in China's provinces and other economies from a multi-regional perspective based on Nested IOA [ 14 ]. Based on the MRIO model, Wang et al [ 15 ] analyzed the carbon-neutrality-oriented carbon emissions reduction model by studying the consumption-based carbon emissions and carbon transfer at the provincial and industry levels in China [ 15 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon Transfer Decision Model Based on LMDI Method

Rao

Zha

et al. 2022

Computational Intelligence and Neuroscience

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Establishing a coordinated governance mechanism for regional carbon emissions is an essential way to achieve carbon peak and carbon neutrality, while the study of interprovincial carbon emissions transfer is one of the important foundations of regional carbon emissions coordinated governance research. Based on the multiregional input-output (MRIO) model, this study calculated the carbon emissions from both the producers’ perspective and the consumers’ perspective and analyzed the interprovincial net carbon emissions transfer decision. Furthermore, the logarithmic mean Divisia index (LMDI) method was adopted to decompose the factors that affect the province’s net carbon emissions into technological effect, structural effect, input-output effect, and scale effect. It was revealed that the input-output effect was the primary influencing factor of the net carbon transfer at the provincial level.

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China’s intra- and inter-national carbon emission transfers by province: A nested network perspective

Cited by 28 publications

References 63 publications

“Black box operation” in carbon reduction: Based on empirical evidence of carbon transfer by subsidiaries of Chinese enterprises

“Black box operation” in carbon reduction: Based on empirical evidence of carbon transfer by subsidiaries of Chinese enterprises

Socioeconomic development and tele-consumption contribute to the changes in pesticide use in China

Carbon Transfer Decision Model Based on LMDI Method

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