A hybrid multi-regional input-output model of China: Integrating the physical agricultural biomass and food system into the monetary supply chain
文献类型：期刊论文
| 作者 | Ye, Quanliang2; Bruckner, Martin3; Wang, Ranran4; Schyns, Joep F.2; Zhuo, La5,6; Yang, Lan1,7; Su, Han2; Krol, Maarten S.2 |
| 刊名 | RESOURCES CONSERVATION AND RECYCLING
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 177页码:13 |
| ISSN号 | 0921-3449 |
| 关键词 | Agricultural biomass and food Supply-use chain Hybrid MRIO model Water footprint China |
| DOI | 10.1016/j.resconrec.2021.105981 |
| 通讯作者 | Ye, Quanliang(q.ye@utwente.nl) |
| 英文摘要 | Lacking systematic supply-use information of agricultural biomass and food products within China makes the existing provincial environmental pressure assessments (e.g., water consumption) either not detailed enough (e. g., by the input-output table-based approach) or not comprehensive enough (e.g., by the process-based approach). This study develops a symmetric inter-provincial multi-regional input-output (MRIO) model that hybridizes the physical food and agricultural biomass system with the monetary supply chain of China. First, we construct the inter-provincial supply, use, and input-output tables in physical units of 84 agriculture, food and forestry products. These physical supply/use/MRIO tables systematically capture agri-food product flows, at an unprecedented level of product detail, along domestic supply chains within China. Then we integrate the physical MRIO table of agri-food products into the monetary all-sector MRIO table to construct a symmetric hybrid MRIO table of China. The application of our hybrid MRIO model to the case of provincial blue water footprint assessments reveals that the hybrid model enhances both the monetary MRIO table-based approach and the process-based approach from different aspects. For instance, the hybrid MRIO model can reduce the uncertainty of monetary MRIO modeling due to the aggregation of products with different environmental properties into homogeneous sectors. Lastly, uncertainty analysis is implemented to quantify the main sources of uncertainties, and understand the reliability of our new hybrid MRIO model for future sustainable development design. |
| WOS关键词 | VIRTUAL WATER TRADE ; FOOTPRINT ; LAND ; CONSUMPTION ; TRANSFERS ; CARBON |
| 资助项目 | China Scholarship Council (CSC)[201806710143] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000712531500016 |
| 资助机构 | China Scholarship Council (CSC) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167893]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ye, Quanliang |
| 作者单位 | 1.Fudan Univ, Shanghai Key Lab Atmospher Particle Pollut & Prev, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China 2.Univ Twente, Fac Engn Technol, Multidisciplinary Water Management, NL-7522 NB Enschede, Netherlands 3.Vienna Univ Econ & Business, Inst Ecol Econ, Vienna, Austria 4.Leiden Univ, Inst Environm Sci CML, NL-2333 CC Leiden, Netherlands 5.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 6.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China 7.Fudan Univ, Fudan Tyndall Ctr, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ye, Quanliang,Bruckner, Martin,Wang, Ranran,et al. A hybrid multi-regional input-output model of China: Integrating the physical agricultural biomass and food system into the monetary supply chain[J]. RESOURCES CONSERVATION AND RECYCLING,2022,177:13. |
| APA | Ye, Quanliang.,Bruckner, Martin.,Wang, Ranran.,Schyns, Joep F..,Zhuo, La.,...&Krol, Maarten S..(2022).A hybrid multi-regional input-output model of China: Integrating the physical agricultural biomass and food system into the monetary supply chain.RESOURCES CONSERVATION AND RECYCLING,177,13. |
| MLA | Ye, Quanliang,et al."A hybrid multi-regional input-output model of China: Integrating the physical agricultural biomass and food system into the monetary supply chain".RESOURCES CONSERVATION AND RECYCLING 177(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。