Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis
We explore how water pollution policy reforms in China could reduce industrial wastewater pollution with minimum adverse impact on GDP growth. We use a multi-sector dynamic Computable General Equilibrium (CGE) model, jointly developed by Harvard University and Tsinghua University, to examine the lon...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/147256 |
| _version_ | 1855514559062736896 |
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| author | Guo, Xiaolin Ho, Mun Sing You, Liangzhi Cao, Jing Fang, Yu Tu, Taotao Hong, Yang |
| author_browse | Cao, Jing Fang, Yu Guo, Xiaolin Ho, Mun Sing Hong, Yang Tu, Taotao You, Liangzhi |
| author_facet | Guo, Xiaolin Ho, Mun Sing You, Liangzhi Cao, Jing Fang, Yu Tu, Taotao Hong, Yang |
| author_sort | Guo, Xiaolin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We explore how water pollution policy reforms in China could reduce industrial wastewater pollution with minimum adverse impact on GDP growth. We use a multi-sector dynamic Computable General Equilibrium (CGE) model, jointly developed by Harvard University and Tsinghua University, to examine the long-term impact of pollution taxes. A firm-level dataset of wastewater and COD discharge is compiled and aggregated to provide COD-intensities for 22 industrial sectors. We simulated the impact of 4 different sets of Pigovian taxes on the output of these industrial sectors, where the tax rate depends on the COD-output intensity. In the baseline low rate of COD tax, COD discharge is projected to rise from 36 million tons in 2018 to 48 million in 2030, while GDP grows at 6.9% per year. We find that raising the COD tax by 8 times will lower COD discharge by 1.6% by 2030, while a high 20-times tax will cut it by 4.0%. The most COD-intensive sectors—textile goods, apparel, and food products—have the biggest reduction in output and emissions. The additional tax revenue is recycled by cutting existing taxes, including taxes on profits, leading to higher investment. This shift from consumption to investment leads to a slightly higher GDP over time. |
| format | Journal Article |
| id | CGSpace147256 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1472562025-12-08T10:29:22Z Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis Guo, Xiaolin Ho, Mun Sing You, Liangzhi Cao, Jing Fang, Yu Tu, Taotao Hong, Yang wastewater water management water pollution taxes water policies pollution fiscal policies industrial cod discharge computable general equilibrium model pollution prevention We explore how water pollution policy reforms in China could reduce industrial wastewater pollution with minimum adverse impact on GDP growth. We use a multi-sector dynamic Computable General Equilibrium (CGE) model, jointly developed by Harvard University and Tsinghua University, to examine the long-term impact of pollution taxes. A firm-level dataset of wastewater and COD discharge is compiled and aggregated to provide COD-intensities for 22 industrial sectors. We simulated the impact of 4 different sets of Pigovian taxes on the output of these industrial sectors, where the tax rate depends on the COD-output intensity. In the baseline low rate of COD tax, COD discharge is projected to rise from 36 million tons in 2018 to 48 million in 2030, while GDP grows at 6.9% per year. We find that raising the COD tax by 8 times will lower COD discharge by 1.6% by 2030, while a high 20-times tax will cut it by 4.0%. The most COD-intensive sectors—textile goods, apparel, and food products—have the biggest reduction in output and emissions. The additional tax revenue is recycled by cutting existing taxes, including taxes on profits, leading to higher investment. This shift from consumption to investment leads to a slightly higher GDP over time. 2018-11-28 2024-06-21T09:12:40Z 2024-06-21T09:12:40Z Journal Article https://hdl.handle.net/10568/147256 en Open Access MDPI Guo, Xiaolin; Ho, Mun Sing; You, Liangzhi; Cao, Jing; Fang, Yu; Tu, Taotao; and Hong, Yang. 2018. Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis. Water 10(12), 1742. https://doi.org/10.3390/w10121742 |
| spellingShingle | wastewater water management water pollution taxes water policies pollution fiscal policies industrial cod discharge computable general equilibrium model pollution prevention Guo, Xiaolin Ho, Mun Sing You, Liangzhi Cao, Jing Fang, Yu Tu, Taotao Hong, Yang Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title | Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title_full | Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title_fullStr | Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title_full_unstemmed | Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title_short | Industrial water pollution discharge taxes in China: A multi-sector dynamic analysis |
| title_sort | industrial water pollution discharge taxes in china a multi sector dynamic analysis |
| topic | wastewater water management water pollution taxes water policies pollution fiscal policies industrial cod discharge computable general equilibrium model pollution prevention |
| url | https://hdl.handle.net/10568/147256 |
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