Economic Water Productivities Along the Dairy Value Chain in South Africa: Implications for Sustainable and Economically Efficient Water-use Policies in the Dairy Industry

Owusu‐Sekyere, Enoch; Scheepers, Morné Erwin; Jordaan, Henry

doi:10.1016/j.ecolecon.2016.12.020

Cited by 27 publications

(15 citation statements)

References 15 publications

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“…The diet with the adjusted protein provided a reduction of 11% in the green footprint value. Owusu-Sekyere et al (2017) verified that dairy diets with high protein concentrates had the highest water footprint. According to Mekonnen and Hoekstra (2014), green water footprint for milk in pasture systems is 1.087 L kg -1 of milk.…”

Section: Resultsmentioning

confidence: 84%

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2020

Rev. ambiente água

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This map shows the distribution of biogas energy potentials for sewage treatment plants (STP) in the state of Paraná in the southern region of Brazil. The results of this research showed that 19 STP units presented a biogas energy potential above 100 GJ d -1 and 124 units a potential below 30 GJ d -1 . The location of these units and associated biogas energy potential make it possible to assemble strategic plans for future investments in the energy recovery of the by-products of STPs. Source: LOPES, L. S. et al. Energy potential of biogas and sludge from UASB reactors in the State of Paraná, Brazil. 02 Multivariate statistical analysis applied to the evaluation of groundwater quality in the centralsouthern portion of the state of Bahia -Brazil

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Section: Resultsmentioning

confidence: 84%

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2020

Rev. ambiente água

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“…Subsequently, we estimated the economic water productivities for the different outputs at different stages by multiplying the physical water productivity by the monetary value added to each w output per kilogram. The value added to the output products along the value chain is calculated by subtracting the cost per kilogram of w from the sales revenue obtained from selling one kilogram of w at each stage of the value chain [27,28]. Consequently, the value added to the output product (w) becomes the total revenue of the output product minus the cost of all intermediate inputs (z) used to produce it.…”

Section: Choice Of Theoretical Framework and Modelsmentioning

confidence: 99%

“…Value added to water along the wheat-bread value chain is quantified as the ratio of the value added to the output product (w) at a given stage over the volume of water used at that stage [27,28]. From this, we calculated the marginal value of water MVAD[water] as the partial derivative of total value added (TVAD jvc ) with respect to water use (WU jvc ):…”

Section: Choice Of Theoretical Framework and Modelsmentioning

confidence: 99%

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Water Footprint Accounting Along the Wheat-Bread Value Chain: Implications for Sustainable and Productive Water Use Benchmarks

Mohlotsane

Owusu‐Sekyere

Jordaan

et al. 2018

Water

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Efficient and wise management of freshwater resources in South Africa has become critical because of the alarming freshwater scarceness. The situation requires a thorough examination of how water is utilized across various departments that use water. This paper reports on an examination of the water footprint and economic water productivities of the wheat-bread value chain. The assessment methodology of the Water Footprint Network was employed. The findings reveal that 954.07 m3 and 1026.07 m3 of water are utilized in the production of a ton of wheat flour in Bainsvlei and Clovelly in South Africa. The average water footprint for wheat bread was 954.53 m3 per ton in Bainsvlei and 1026.53 m3 per ton in Clovelly. More than 99% of the water is used in producing the grain at the farm level. The processing stage of the value chain uses less than 1% of the total water footprint. About 80% of all the water utilised along the wheat bread value chain is attributed to blue water. The findings revealed a significant shift from green water consumption to higher blue water use, and this is a major concern for water users and stakeholders along the wheat-bread value chain, given that blue water is becoming scarce in South Africa. The groundwater contributes about 34% and 42% of the average total water footprint of wheat at the farm level in Clovelly and Bainsvlei, respectively, suggesting the need to have an idea of the contribution of groundwater in water footprint evaluation and water management decision of farmers. This insight will aid in minimizing irrigation water use and pressure on groundwater resources. A total of ZAR 4.27 is obtained for every m3 of water utilized along the wheat-bread value chain. Water footprint assessment has moved away from sole indicator assessment, as a deeper awareness of and insight into the productive use of water at different stages has become vital for policy. To make a correct judgment and to assess the efficient and wise use of water, there is a need for catchment- or region-specific water footprint benchmarks, given that water footprint estimates and economic water productivities vary from one geographical area to another.

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“…Finally, the paper, following the methodology of Owusu-Sekyere et al [43], computes the time trend of economic water productivity of electricity (EWP e ), based on prices (P e ) distinguished per domestic and industrial consumption class and consumptive water footprint per unit of electricity (WF e ), measured in €/m 3 and expressed by equation:…”

Section: Methodsmentioning

confidence: 99%

The Water Footprint Assessment of Electricity Production: An Overview of the Economic-Water-Energy Nexus in Italy

2018

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Abstract:The term "water-energy nexus" has remarkable implications in the sustainable management of water resources. The aim of this paper is to analyse the production of electricity, from an economic and technical perspective, using the water footprint and economic water productivity approaches. After comparing the percentage of contribution of fossil and renewable sources to the production of the electricity sector, the study then compares the percentage of contribution of fossil and renewable sources to the consumptive water footprint of Italian electricity production for each year analysed. Furthermore, distinguishing between renewable and fossil sources, the paper proceeds to assess the total consumptive water footprint generated by each energy source for the electricity production in Italy during the period 2007-2016. The study represents an original contribution for the identification of policies and managerial implications in the context of the energy sector, serving as a practical guide. The results, in fact, confirm the need for scientific and practical efforts to manage electricity production in an integrated perspective and provide a first glance at addressing the optimal design of energy source mix in the Italian regulation context, contributing to reducing the water footprint, without ignoring the economic aspects.

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Economic Water Productivities Along the Dairy Value Chain in South Africa: Implications for Sustainable and Economically Efficient Water-use Policies in the Dairy Industry

Cited by 27 publications

References 15 publications

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Water Footprint Accounting Along the Wheat-Bread Value Chain: Implications for Sustainable and Productive Water Use Benchmarks

The Water Footprint Assessment of Electricity Production: An Overview of the Economic-Water-Energy Nexus in Italy

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