Marginal abatement cost of agricultural carbon emissions in China: 1993-2015
Purpose The purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC). Design/methodology/approach The shadow price of agric...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Emerald Publishing Limited
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/98548 |
| _version_ | 1855527646392221696 |
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| author | Wu, Xianrong Zhang, Junbiao You, Liangzhi |
| author_browse | Wu, Xianrong You, Liangzhi Zhang, Junbiao |
| author_facet | Wu, Xianrong Zhang, Junbiao You, Liangzhi |
| author_sort | Wu, Xianrong |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Purpose
The purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC).
Design/methodology/approach
The shadow price of agricultural carbon emissions is estimated by applying directional distance function and non-parametric methods.
Findings
The estimated shadow price of agricultural carbon emissions ranges from 6.78 to 557.83 yuan/ton, and the average value is 62.50 yuan/ton (or $10.18/ton). The MAC value varies in different provinces and years. The regional difference of MAC shows a decreasing trend during the investigation period. Cropping pattern shows a significant negative impact on agricultural MAC. A 1 percent decrease of rice proportion leads to a 0.31 percent increase in MAC value. This implies that the higher the proportion of rice is, the lower the economic cost to reduce agricultural carbon emissions would be.
Practical implications
It is feasible to draw up appropriate mechanisms for the allocation of emission reduction responsibilities according to conditions in various regions, with emphasis on the local cropping patterns. There is a trade-off between reducing carbon emission and increasing crop yields.
Originality/value
This study calculates agricultural MAC by using the shadow price approach, taking agricultural carbon emissions as undesired environmental output. The study also provides a reference emission right price and provides guidance to make use of cropping structure adjustment and optimization for exploring the emission reduction strategy. |
| format | Journal Article |
| id | CGSpace98548 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Emerald Publishing Limited |
| publisherStr | Emerald Publishing Limited |
| record_format | dspace |
| spelling | CGSpace985482025-12-08T10:29:22Z Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 Wu, Xianrong Zhang, Junbiao You, Liangzhi carbon cropping pattern spatial data carbon dioxide costs cropping patterns agricultural pollution capacity development emission Purpose The purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC). Design/methodology/approach The shadow price of agricultural carbon emissions is estimated by applying directional distance function and non-parametric methods. Findings The estimated shadow price of agricultural carbon emissions ranges from 6.78 to 557.83 yuan/ton, and the average value is 62.50 yuan/ton (or $10.18/ton). The MAC value varies in different provinces and years. The regional difference of MAC shows a decreasing trend during the investigation period. Cropping pattern shows a significant negative impact on agricultural MAC. A 1 percent decrease of rice proportion leads to a 0.31 percent increase in MAC value. This implies that the higher the proportion of rice is, the lower the economic cost to reduce agricultural carbon emissions would be. Practical implications It is feasible to draw up appropriate mechanisms for the allocation of emission reduction responsibilities according to conditions in various regions, with emphasis on the local cropping patterns. There is a trade-off between reducing carbon emission and increasing crop yields. Originality/value This study calculates agricultural MAC by using the shadow price approach, taking agricultural carbon emissions as undesired environmental output. The study also provides a reference emission right price and provides guidance to make use of cropping structure adjustment and optimization for exploring the emission reduction strategy. 2018-10-17 2018-12-12T08:26:49Z 2018-12-12T08:26:49Z Journal Article https://hdl.handle.net/10568/98548 en Open Access Emerald Publishing Limited Wu, Xianrong; Zhang, Junbiao; and You, Liangzhi. 2018. Marginal abatement cost of agricultural carbon emissions in China: 1993-2015. China Agricultural Economic Review 10(4): 558-571. https://doi.org/10.1108/CAER-04-2017-0063. |
| spellingShingle | carbon cropping pattern spatial data carbon dioxide costs cropping patterns agricultural pollution capacity development emission Wu, Xianrong Zhang, Junbiao You, Liangzhi Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title | Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title_full | Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title_fullStr | Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title_full_unstemmed | Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title_short | Marginal abatement cost of agricultural carbon emissions in China: 1993-2015 |
| title_sort | marginal abatement cost of agricultural carbon emissions in china 1993 2015 |
| topic | carbon cropping pattern spatial data carbon dioxide costs cropping patterns agricultural pollution capacity development emission |
| url | https://hdl.handle.net/10568/98548 |
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