Abstract
It is important to explore the driving factors of the carbon emission intensity (CI) for China's planting under the dual pressures of adequate food supply and carbon neutrality. Previous studies separately investigate the impact of technical or structural factors on the total carbon emissions of China's agricultural sector, but few studies assess the comprehensive effects of these two. To this end, this paper incorporates the production-theoretical decomposition analysis (PDA) into the logarithmic mean Divisia index (LMDI) and decomposes the changes of CI into seven components, namely, two technical effects, four structural ones, and one regional layout effect. Based on the panel data of the agricultural sector for 31 provinces in China from 2001 to 2018, the contribution rates of the seven components to the changes of China's planting CI are computed. The results indicate that China's planting CI presents a downward trend with an average annual decreasing rate of 11.4% over the whole study period. The improvement in technical efficiency (TEFF) plays a dominant role in the decline of CI for planting with a contribution rate of 83.19%, followed by the output structure (OS) change (27.28%). In contrast, technical change (TECH) (8.00%) promotes the increase of CI. Further, the effects present significant regional heterogeneities. Specifically, TEFF contributes the highest share to the decline of CI for producing-sales balance areas (BA), and OS plays the greatest role in the decrease of CI for main grain-sales areas (MCA) during the entire study period. Accordingly, some policy recommendations are put forward on how to reduce the CI of China's planting.
Highlights
Global warming is one of the greatest challenges for humanity (Hoegh-Guldberg et al, 2019)
The planting carbon emission intensity (CI) at the national level reduces from 8,684.36 tons per 100 million CNY in 2001 to 1,082.79 million tons per 100 million CNY in 2018, with an average annual decreasing rate of 11.4%, which dropped by 87.5% cumulatively
Incorporating production-theoretical decomposition analysis (PDA) into the logarithmic mean Divisia index (LMDI), this paper conducts a comprehensive framework to simultaneously explore the impact of both technological and structural effects on changes in China’s planting carbon intensity. Based on this developed framework, the variations of crop farming CI are decomposed into technical efficiency (TEFF) effect, output structure (OS) effect, technical change (TECH) effect, land-agrochemical energy ratio, labor-agrochemical energy ratio, regional effect, and emission coefficient effect
Summary
Global warming is one of the greatest challenges for humanity (Hoegh-Guldberg et al, 2019). The majority of developed countries have agreed to take steps to limit and even cut down anthropogenic carbon emissions. In this context, the reduction pathway for agricultural carbon emissions accounting for 10–20% of the global total emissions has attracted the attention of academia (Crippa et al, 2021). The CO2 emissions of the agricultural sector in China reached 241.1 million tons in 2017, which is 1.5 times that in 1995 (Han et al, 2018) It is significant for the achievement of China’s carbon peaking to investigate driving factors of CO2 emissions for the agricultural sector
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
