期刊
JOURNAL OF CLEANER PRODUCTION
卷 379, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.134685
关键词
Circular agriculture; Production tax; Macroeconomy; Environment
资金
- major project of Education Department of Hebei Province [ZD201904]
The study utilized a computable general equilibrium (CGE) model to analyze the impact of circular agriculture (CA) measures on Hebei Province in China. By adjusting production taxes and other economic measures, the development of CA was promoted, leading to reduced emissions and water resource consumption intensity.
Analyzing the effect of circular-agriculture (CA) measures could be helpful to promote its scientific development. Previous research has focused on technological measures and their effects on the agricultural sector. However, economic measures can also promote the development of CA, and due to their correlation with socio-economic sectors, CA measures can impose effects on non-agricultural sectors and on the whole socioeconomic system. In this research, a computable general equilibrium (CGE) model was established to comprehensively reveal the effects of CA measures. In this model, measure simulation and environmental blocks were extended. The pro-duction tax was adopted as the economic measure for adjusting the development of CA. Both environmental and socioeconomic effects have been explored. Hebei Province in China was adopted as the study case. Three kinds of production tax adjustment scenarios were considered: a promotion-measure scenario (decreasing the production tax for CA sectors), an inhibition-measure scenario (increasing the production tax for traditional-agriculture sectors), and a hybrid-measure scenario (implementing the promotion-and inhibition-measures simulta-neously). The results showed that all three scenarios could promote the development of CA. The inhibition and hybrid measures had positive effects on GDP, and all the scenarios could decrease the intensities of CO2, COD and NH3-N emissions and water resource consumption. In addition, higher measure intensity could bring more significant effects.
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