Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA
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 o...
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Frontiers Media S.A.
2022-02-01
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| Series: | Frontiers in Climate |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fclim.2021.798339/full |
| _version_ | 1818322717532749824 |
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| author | Fuxia Yang Dongshou Fan Fei Xu |
| author_facet | Fuxia Yang Dongshou Fan Fei Xu |
| author_sort | Fuxia Yang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T11:01:14Z |
| format | Article |
| id | doaj.art-f413d8df392d46b597f0fc731da8791b |
| institution | Directory Open Access Journal |
| issn | 2624-9553 |
| language | English |
| last_indexed | 2024-12-13T11:01:14Z |
| publishDate | 2022-02-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Climate |
| spelling | doaj.art-f413d8df392d46b597f0fc731da8791b2022-12-21T23:49:15ZengFrontiers Media S.A.Frontiers in Climate2624-95532022-02-01310.3389/fclim.2021.798339798339Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDAFuxia Yang0Dongshou Fan1Fei Xu2College of Economics and Management, Huazhong Agricultural University, Wuhan, ChinaCollege of Economics and Management, Huazhong Agricultural University, Wuhan, ChinaSchool of Economics and Management, Anhui Normal University, Wuhu, ChinaIt 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.https://www.frontiersin.org/articles/10.3389/fclim.2021.798339/fullplanting industrycarbon emission intensitydecompositionLMDI-PDAdriving factors |
| spellingShingle | Fuxia Yang Dongshou Fan Fei Xu Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA Frontiers in Climate planting industry carbon emission intensity decomposition LMDI-PDA driving factors |
| title | Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA |
| title_full | Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA |
| title_fullStr | Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA |
| title_full_unstemmed | Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA |
| title_short | Driving Factors of Carbon Emission Intensity for China's Planting: A Combination of LMDI and PDA |
| title_sort | driving factors of carbon emission intensity for china s planting a combination of lmdi and pda |
| topic | planting industry carbon emission intensity decomposition LMDI-PDA driving factors |
| url | https://www.frontiersin.org/articles/10.3389/fclim.2021.798339/full |
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