全球智库信息集成服务系统(G2TT): Industrial Water Pollution Discharge Taxes in China: A Multi-Sector Dynamic Analysis

G2TT

来源类型	Journal Article
规范类型	论文
	Industrial Water Pollution Discharge Taxes in China: A Multi-Sector Dynamic Analysis
	Xiaolin Guo; Mun Ho; Liangzhi You; Jing Cao; Yu Fang; Taotao Tu; Yang Hong
发表日期	2018-11-27
出版年	2018
语种	英语
摘要	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.
主题	Water Resources,Water Quality,China,Asia
URL	https://www.rff.org/publications/journal-articles/industrial-water-pollution-discharge-taxes-china-multi-sector-dynamic-analysis/
来源智库	Resources for the Future (United States)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/588130
推荐引用方式 GB/T 7714	Xiaolin Guo,Mun Ho,Liangzhi You,et al. Industrial Water Pollution Discharge Taxes in China: A Multi-Sector Dynamic Analysis. 2018.