A framework assessing the footprints of food consumption. An application on water footprint in Europe

2022 ◽  
Vol 93 ◽  
pp. 106735
Author(s):  
D. Gibin ◽  
A. Simonetto ◽  
B. Zanini ◽  
G. Gilioli
Keyword(s):  
Food Consumption ◽  
Water Footprint

scholarly journals Decomposition of Water Footprint of Food Consumption in Typical East Chinese Cities

2021 ◽  
Vol 13 (1) ◽  
pp. 409
Author(s):  
Ruogu Huang ◽  
Xiangyang Li ◽  
Yang Liu ◽  
Yaohao Tang ◽  
Jianyi Lin
Keyword(s):  
Food Consumption ◽  
Urban Areas ◽  
Water Footprint ◽  
Utilization Efficiency ◽  
Diet Shift ◽  
City Development ◽  
Intensity Effect ◽  
Consumption Level ◽  
Positive Effects ◽  
Per Capita

Water scarcity has put pressure on city development in China. With a particular focus on urban and rural effects, logarithmic mean Divisia index decomposition (LMDI) was used to analyze the water footprint per capita (WFP) of food consumption in five East China cities (Beijing, Tianjin, Shanghai, Qingdao, and Xiamen) from 2008 to 2018. Results show that the WFP of food consumption exhibited an upward tendency among all cities during the research period. Food consumption structure contributed the most to the WFP growth, mainly due to urban and rural residents’ diet shift toward a livestock-rich style. Except in Beijing, the food consumption level mainly inhibited the WFP growth due to the decrease in food consumption level per capita in urban areas. Urbanization had less influence on WFP growth for two megacities (Beijing and Shanghai) due to the strictly controlled urban population inflow policy and more positive effects for other cities. The water footprint intensity effect among cities was mainly due to uneven water-saving efficiency. Meanwhile, Beijing and Tianjin have achieved advancement in water utilization efficiency.

Disparities and drivers of the water footprint of food consumption in China

2021 ◽  
Author(s):  
Zhengqi Pang ◽  
Dan Yan ◽  
Tongyao Wang ◽  
Ying Kong
Keyword(s):  
Food Consumption ◽  
Water Footprint

Income-based projections of water footprint of food consumption in Uzbekistan

2013 ◽  
Vol 110 ◽  
pp. 130-142 ◽  
Author(s):  
Nodir Djanibekov ◽  
Klaus Frohberg ◽  
Utkur Djanibekov
Keyword(s):  
Food Consumption ◽  
Water Footprint

Drivers of the increasing water footprint in Africa: The food consumption perspective

2021 ◽  
pp. 152196
Author(s):  
Alexandre Tuyishimire ◽  
Yang Liu ◽  
Jingjing Yin ◽  
Limin Kou ◽  
Shuifa Lin ◽  
...  
Keyword(s):  
Food Consumption ◽  
Water Footprint

scholarly journals Water Footprint Analysis In Krueng Aceh Watershed, Aceh Province, Indonesia

2017 ◽  
Vol 6 (3) ◽  
pp. 86-96
Author(s):  
Purwana Satriyo ◽  
Hidayat Pawitan ◽  
Yanuar J Purwanto ◽  
Yayat Hidayat
Keyword(s):  
Urban Area ◽  
Food Consumption ◽  
Water Footprint ◽  
Virtual Water ◽  
World Population ◽  
Total Water ◽  
Watershed Area ◽  
Rural And Urban ◽  
Footprint Analysis ◽  
Per Capita

Water is one the most important natural resources to maintain human life and all other living things in the earth. Around 65% water were consumed for drinking purpose, while others were used for daily needs. The increasing amount of work on water use and scarcity in relation to consumption and trade has led to the emergence of the field of Water Footprint (WF). Climate change, rural development, world population growth and industrialization have placed considerable stress on the local availability of water resources. Thus, it is necessary to perform study in order to analyze water demands and supply for sustainable water availability. Recently, water footprint analysis has been widely draw attention to the scientists and engineers. The water footprint analysis is closely related with virtual water from which it is defined as total water volume used for consumption and trade. The main aim of this present study is to analyze and assess the total water requirement based on community water footprint in Krueng Aceh watershed area. The virtual water used in this study are dominant consumption food commodities. The result shows that water footprint per capita in Krueng Aceh watershed area was 674.52 m3/year. Water footprint for rural and urban population were 608.27 m3/year and 740.77 m3/year respectively. The WF of food consumption in urban area of Krueng Aceh watershed is 690.74 m3 / capita / year and 584.22 m3/capita/year or average 625.69 m3/capita/year, while for non-food, the WF per capita is 24.05 m3/year in rural or 32.46% of the total water footprint. Non-food consumption per capita in Krueng Aceh and in urban areas is 50.03 m3/year or 67.53%. The total water demand based on the water footprint is 378,906,655.05 m3 in 2015 which is consumed by most of residents in the Krueng Aceh watershed area. Furthermore, total WF in rural and urban area are 193,489,128.95 m3 and 185,417,526.10 m3 respectively.

scholarly journals Decomposition of the Urban Water Footprint of Food Consumption: A Case Study of Xiamen City

2017 ◽  
Vol 9 (1) ◽  
pp. 135 ◽  
Author(s):  
Jiefeng Kang ◽  
Jianyi Lin ◽  
Xiaofeng Zhao ◽  
Shengnan Zhao ◽  
Limin Kou
Keyword(s):  
Food Consumption ◽  
Water Footprint ◽  
Urban Water ◽  
Xiamen City

The water footprint of different diets within European sub-national geographical entities

2020 ◽  
Author(s):  
Davy Vanham
Keyword(s):  
Water Resources ◽  
Food Consumption ◽  
Water Footprint ◽  
Vegetarian Diet ◽  
Healthy Diet ◽  
Geographical Differences ◽  
The United Kingdom ◽  
Raising Awareness ◽  
Healthy Diets ◽  
Socio Economic Factors

<p>The water footprint concept has been recognized as being highly valuable for raising awareness of the large quantity of water resources required to produce the food we consume. We present, for three major European countries (the United Kingdom, France and Germany), a geographically detailed nationwide food-consumption-related water footprint, taking into account socio-economic factors of food consumption, for both existing and recommended diets (healthy diet with meat, healthy pescetarian diet and healthy vegetarian diet). Using socio-economic data, national food surveys and international food consumption and water footprint databases, we were able to refine national water footprint data to the smallest possible administrative boundaries within a country (reference period 2007–2011). We found geographical differences in water footprint values for existing diets as well as for the reduction in water footprints associated with a change to the recommended healthy diets. For all 43,786 analysed geographical entities, the water footprint decreases for a healthy diet containing meat (range 11–35%). Larger reductions are observed for the healthy pescetarian (range 33–55%) and healthy vegetarian (range 35–55%) diets. In other words, shifting to a healthy diet is not only good for human health, but also substantially reduces consumption of water resources, consistently for all geographical entities throughout the three countries. Our full results are available as a supplementary dataset. These data can be used at different governance levels in order to inform policies targeted to specific geographical entities.</p><p>This presentation is based on a recent paper published in Nature Sustainability <span></span></p>

Impact of food consumption on water footprint and food security in Tunisia

Food Security ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 989-1008 ◽  
Author(s):  
Asma Souissi ◽  
Nadhem Mtimet ◽  
Chokri Thabet ◽  
Talel Stambouli ◽  
Ali Chebil
Keyword(s):  
Food Security ◽  
Food Consumption ◽  
Water Footprint

scholarly journals Towards the sustainable food consumption in central Europe: Stochastic relationship between water footprint and nutrition

2020 ◽  
Vol 49 (1) ◽  
pp. 86-92
Author(s):  
O. Tompa ◽  
A. Kiss ◽  
Z. Lakner
Keyword(s):  
Food Consumption ◽  
Water Footprint ◽  
Rank Correlation ◽  
Initial Step ◽  
Sustainable Food ◽  
Food Items ◽  
Spearman’S Rank Correlation ◽  
Nutrient Density ◽  
Complex Evaluation ◽  
Hungarian Population

Sustainable nutrition (SN) considers the environmental impact of food production. This study aims to analyse the relationship between nutrient density and water footprint (WF) of the most consumed food items in Hungary and to create a classification of nutrients. Based on a comprehensive analysis of literature and different data sources, the authors analysed the stochastic relationship between WF and nutrient density of different food items by Spearman's rank correlation. The analysis proved significant (P<0.05) relationship between nutrient density and WF of the most relevant food items in Hungary. Based on the classification, there are nutrients that are overconsumed among the Hungarian population and positively correlate with WF (e.g., cholesterol) and there are nutrients that are under-consumed among the Hungarian population and negatively correlate with WF (e.g., dietary fibres). In general, it can be concluded that the re-structuration of food consumption patterns in Hungary is an important and urgent task, which serves both the public health and ecologic goals. These efforts should be based on a complex evaluation of the problem. This study was one initial step to analyse SN focused on Hungary and further studies are definitely needed.

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