Virtual Water Trade Position of India With the Developing Countries on Primary and its Derived Crops During 2013-14 to 2017-18: An Evaluation

2019 ◽  
Vol 45 (1-2) ◽  
pp. 100
Author(s):  
Goutam Bhowmik ◽  
Saikat Dutta
2020 ◽  
Vol 47 (6) ◽  
pp. 996-1004
Author(s):  
Wenliang Li ◽  
Qing Sun ◽  
Guowei Cheng ◽  
Weiping Wang ◽  
Shisong Qu ◽  
...  

2021 ◽  
Vol 7 (11) ◽  
pp. eabe6636
Author(s):  
F. D. S. Silva ◽  
L. G. Carvalheiro ◽  
J. Aguirre-Gutiérrez ◽  
M. Lucotte ◽  
K. Guidoni-Martins ◽  
...  

Nations’ food consumption patterns are increasingly globalized and trade dependent. Natural resources used for agriculture (e.g., water, pollinators) are hence being virtually exchanged across countries. Inspired by the virtual water concept, we, herein, propose the concept of virtual biotic pollination flow as an indicator of countries’ mutual dependence on biodiversity-based ecosystem services and provide an online tool to visualize trade flow. Using information on 55 pollinator-dependent crop markets (2001–2015), we show that countries with higher development level demand high levels of biodiversity-based services to sustain their consumption patterns. Such patterns are supported by importation of virtual biotic pollination (up to 40% of national imports of pollinator-dependent crops) from developing countries, stimulating cropland expansion. Quantifying virtual pollination flow can help develop new global socioeconomic policies to meet the interconnected challenges of biodiversity loss, ecosystem health, and social justice.


Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 748
Author(s):  
Ming Li ◽  
Qingsong Tian ◽  
Yan Yu ◽  
Yueyan Xu ◽  
Chongguang Li

The sustainable and efficient use of water resources has gained wide social concern, and the key point is to investigate the virtual water trade of the water-scarcity region and optimize water resources allocation. In this paper, we apply a multi-regional input-output model to analyze patterns and the spillover risks of the interprovincial virtual water trade in the Yellow River Economic Belt, China. The results show that: (1) The agriculture and supply sector as well as electricity and hot water production own the largest total water use coefficient, being high-risk water use sectors in the Yellow River Economic Belt. These two sectors also play a major role in the inflow and outflow of virtual water; (2) The overall situation of the Yellow River Economic Belt is virtual water inflow, but the pattern of virtual water trade between eastern and western provinces is quite different. Shandong, Henan, Shaanxi, and Inner Mongolia belong to the virtual water net inflow area, while the virtual water net outflow regions are concentrated in Shanxi, Gansu, Xinjiang, Ningxia, and Qinghai; (3) Due to higher water resource stress, Shandong and Shanxi suffer a higher cumulative risk through virtual water trade. Also, Shandong, Henan, and Inner Mongolia have a higher spillover risk to other provinces in the Yellow River Economic Belt.


Author(s):  
Jie Deng ◽  
Cai Li ◽  
Ling Wang ◽  
Shuxia Yu ◽  
Xu Zhang ◽  
...  

Author(s):  
Wang Hongrui ◽  
Liu Xinghan ◽  
Dong Yanyan ◽  
Wang Junhong

2009 ◽  
pp. 49-59 ◽  
Author(s):  
Consuelo Varela-Ortega ◽  
Roberto Rodríguez Casado ◽  
M Ramón Llamas ◽  
Paula Novo ◽  
Maite Aldaya ◽  
...  

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