the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 20 Dec 2022
Water Productivity of Phoenix Metropolitan Area Cities
Abstract. Water productivity (or efficiency) data informs water policy, zoning and planning along with water allocation decisions under water scarcity pressure. This paper demonstrates that different water productivity metrics lead to different conclusions about who is using water more effectively. In addition to supporting the population's drinking and sanitation needs, water generates many other public and private social, environmental, and economic values. For the group of municipalities comprising the Phoenix Metropolitan Area we compare several water productivity metrics by calculating the Water Value Intensity (WVI) of potable water delivered by the municipality to its residential and non-residential customers. Core cities with more industrial water uses are less productive by the conventional efficiency measure of water used per capita, but core cities generate more tax revenues, business revenues, and payroll revenues per unit of water delivered, achieving a higher water productivity by these measures. We argue that policymakers should consider a more diverse set of socio-economic water productivity measures to ensure that a broader set of values are represented in water allocation policies.
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RC1: 'Comment on egusphere-2022-1367', Pieter van der Zaag, 15 Jan 2023
I find the topic interesting and relevant. I have four comments and a few more detailed comments.
My first comment is that I find the paper not so easy to read, although the argument of the paper is not very complex. I am therefore convinced that the presentation of the work can be much improved. I mention two points of improvements.
(a) The authors could select a reduced number of water productivity metrics that most aptly reflect the point the authors wish to make (and in supplementary materials they could include details of the other metrics considered). I base this comment on the following. Figure 3 demonstrates that two groups of each two metrics behave identically in the different locations (namely Gross Revenue and State Sales Tax, and Payroll and State Income Tax), and for the second group a third metric only deviates from its two metrics in one location (namely Net Revenue, which behaves differently only in Phoenix). If one would delve into the details of those metrics, I guess it wouldn’t be very difficult to explain why they behave identically. This would enable to simplify the paper and select the most telling metric of each group, or the one that is most easily to be collected/measured, while commenting that the other metric can also be used.
(b) The point made towards the end of section 2 could be presented more prominently, namely that different stakeholders value different metrics differently. The argument of the paper could then be weaved along these selected stakeholders. This would in my view make the paper much more easily readable and thus much more attractive.
As a side note, it remains unclear how many metrics the paper reports; in the text it is stated that they are six (line116), whereas 7 are reported in lines 116 and 117, but in lines 80-81, there are 8 metrics mentioned. But note that “net revenue” is mentioned twice in both. In figure 3, however, only 6 appear. This requires clarification.
My second comment concerns details. Some details are given in the paper, but these should either be better explained, or relegated to an appendix. I refer here to the issue of including or excluding the indirect value. I guess this is an important issue but the assumptions and implications of excluding these seem to come as an afterthought.
A third comment: I am not an economist, but I find the suggestion that all values used as metrics are all fully attributed to (or imputed to) the water input. For example, in line 202 it states: “Property taxes were used as a measure for the values produced by residential water use.” Similarly, in lines 94-95 it is stated that “Within each municipality water is allocated to Residential and Non-Residential uses, which yield residential values (income tax, property tax, population) and non-residential values (payroll, net/gross revenue, sales tax).”
But it is clear that water is only one input among many that produces this value, and often a relatively minor input compared to others.
A fourth comment refers to the statement made in the beginning of the paper in lines 49-50: “... we manage what we measure …”. This is potentially a problematic statement, as this might imply that what cannot be measured cannot be managed. And this may have a problematic relation with a remark made towards the end of the paper, namely in lines 278-280, “We omit environmental and social wellness values, from this research (…) due to a lack of quantifiable data on these measures.” Doesn’t this pose a fundamental limitation to the main purpose of this paper, namely that certain important values may not be quantifiable in water productivity metrics. I would find it interesting if the authors would include a more nuanced reflection on this issue.
More detailed comments:
The title is quite general – perhaps a subtitle could indicate what specifically the paper is about, namely that water adds different types of value that cannot easily be commensurated.
I would prefer a straightforward use of the concept of water productivity, as against the little known “water value intensity” concept.
The values of WVI presented (as in Figure 3) are, I guess, normalised values. But this is not explained in the text. Also the dimensions/units of value should be explicitly reported when values are presented.
The concept of “payroll’ may need an explanation, as not all readers may be familiar with this concept; I understand that it refers to the wage bill/salaries?
The acronyms SRP and CAP are not explained when first used (line 92), nor ADWR (line 108).
I found it confusing that one the one hand the authors explain that they use data on water withdrawals, and not data on water consumed (line 102 and lines 107-112), and that they later add L&U water (= lost and unaccounted for water) to the data on water use/water withdrawals they got from ADWR. To the reader this may seem that some double counting of water might occur. This requires an explanation.
In this same sense I think it would be wise to use one consistent term for these data: is it “water use”, “water withdrawal” or “water demand”? In the tables in Annex B the term ‘demand’ is used. But the demand for water may not be identical to the use of water, and thus not for the water withdrawals. So water demand is not entirely a correct term for the data used in this paper. I oudl recommend to choose between “water use”, “water withdrawal”.
Appendix A-1 (line 140) doesn’t exist. I guess you mean Appendix A.
Lines 156-157 state: “In this case there are six direct and local values produced, one direct impact on the local freshwater stock…” But these direct and local values and the direct impact are not made explicit. Are these the same as the (6, or 67 or 8) mentioned earlier?
Figure 3: not clear what the blue line of population signifies. What is the unit? What does a population of “1” mean?
Table 1: I don’t understand how the last two columns (“Acre feet per km2 of city” and “Acre feet per person per km2”) were calculated.
There are several sentences where a word is missing, or something else is amiss in the sentence, including in the following lines: 99, 109, 118, 129, 266, 280.
Citation: https://doi.org/10.5194/egusphere-2022-1367-RC1 -
AC1: 'Reply on RC1', Benjamin L. Ruddell, 31 Mar 2023
Reply to van der Zaag; replies inline
I find the topic interesting and relevant. I have four comments and a few more detailed comments.
My first comment is that I find the paper not so easy to read, although the argument of the paper is not very complex. I am therefore convinced that the presentation of the work can be much improved. I mention two points of improvements.
(a) The authors could select a reduced number of water productivity metrics that most aptly reflect the point the authors wish to make (and in supplementary materials they could include details of the other metrics considered). I base this comment on the following. Figure 3 demonstrates that two groups of each two metrics behave identically in the different locations (namely Gross Revenue and State Sales Tax, and Payroll and State Income Tax), and for the second group a third metric only deviates from its two metrics in one location (namely Net Revenue, which behaves differently only in Phoenix). If one would delve into the details of those metrics, I guess it wouldn’t be very difficult to explain why they behave identically. This would enable to simplify the paper and select the most telling metric of each group, or the one that is most easily to be collected/measured, while commenting that the other metric can also be used.
AUTHORS: It is true that these metrics are correlated, particularly with respect to taxes which are a simple function of profits. But they are not correlated 1:1. Because we have not seen a similar paper published in the literature in the past, one of our goals is to present as many different value metrics as possible, and to give the reader a basic sense of how they are related. We strongly agree that a real-world policy application of this method would choose a subset of metrics (and possibly different metrics than are presented here). The argument about “point of view” is the important idea here. Different political constituencies will care about different values, so it is important to calculate and present the values that each constituency cares about, even if those values are redundant or correlated. This is actually desirable that multiple constituencies have correlated values, as it aligns interests and (often) policy preferences.
(b) The point made towards the end of section 2 could be presented more prominently, namely that different stakeholders value different metrics differently. The argument of the paper could then be weaved along these selected stakeholders. This would in my view make the paper much more easily readable and thus much more attractive.
AUTHORS: Thank you for emphasizing this point. We agree, and we have promoted this argument. This argument is really central to the purpose of this study, and it is important that the reader not be allowed to miss the point.
As a side note, it remains unclear how many metrics the paper reports; in the text it is stated that they are six (line116), whereas 7 are reported in lines 116 and 117, but in lines 80-81, there are 8 metrics mentioned. But note that “net revenue” is mentioned twice in both. In figure 3, however, only 6 appear. This requires clarification.
AUTHORS: Agreed
My second comment concerns details. Some details are given in the paper, but these should either be better explained, or relegated to an appendix. I refer here to the issue of including or excluding the indirect value. I guess this is an important issue but the assumptions and implications of excluding these seem to come as an afterthought.
AUTHORS: The second reviewer also brought up the issue of indirect value. Indirect value presents us with a difficult editorial decision. On one hand, indirect value creation is a real thing and is relevant to economic decisions; and it is also a part of the Embedded Resource Accounting framework we apply in the paper’s mathematics. On the other hand, indirect value creation is secondary to the direct value creation, and including those results will make the paper dramatically longer and more complicated. We decided to explicitly recognize indirect value creation as a component of the mathematics, and then to neglect it for clarity and brevity, as it is secondary to our main point. It might be clearer to simply ignore the topic completely, as most related papers choose to do, but in our view this fails the reader. We have attempted to clarify the implications of excluding indirect value, and we hope you find the effort an improvement. References:
Ruddell, B.L., Adams, E.A., Rushforth, R. and Tidwell, V.C., 2014. Embedded resource accounting for coupled natural‐human systems: An application to water resource impacts of the western US electrical energy trade. Water Resources Research, 50(10), pp.7957-7972.
Rushforth, R.R. and Ruddell, B.L., 2015. The hydro-economic interdependency of cities: Virtual water connections of the Phoenix, Arizona Metropolitan Area. Sustainability, 7(7), pp.8522-8547.
A third comment: I am not an economist, but I find the suggestion that all values used as metrics are all fully attributed to (or imputed to) the water input. For example, in line 202 it states: “Property taxes were used as a measure for the values produced by residential water use.” Similarly, in lines 94-95 it is stated that “Within each municipality water is allocated to Residential and Non-Residential uses, which yield residential values (income tax, property tax, population) and non-residential values (payroll, net/gross revenue, sales tax).”
But it is clear that water is only one input among many that produces this value, and often a relatively minor input compared to others.
AUTHORS: We do not intend to argue that all the values used as metrics are fully attributed to the water. That would be the “Value of the Marginal Product” of the water (under SEEA rules). Instead, we are presenting numbers more like Water Productivity, as you point out; it is the simple ratio of a partial output to a partial input.
A fourth comment refers to the statement made in the beginning of the paper in lines 49-50: “... we manage what we measure …”. This is potentially a problematic statement, as this might imply that what cannot be measured cannot be managed. And this may have a problematic relation with a remark made towards the end of the paper, namely in lines 278-280, “We omit environmental and social wellness values, from this research (…) due to a lack of quantifiable data on these measures.” Doesn’t this pose a fundamental limitation to the main purpose of this paper, namely that certain important values may not be quantifiable in water productivity metrics. I would find it interesting if the authors would include a more nuanced reflection on this issue.
AUTHORS: We agree that the lack of environmental and social data (and other economic data) is a limitation of the study. The paper would be better if we had more of this data. Hopefully future applications of this approach will solve that limitation.
AUTHORS: We do not wish to scientifically argue the statement that “we manage what we measure”, as it is a figure of speech meant to add emphasis. In fact, Deming agrees with you that the statement is not entirely correct. We agree to remove the statement if it does more harm than good.
AUTHORS: Your point that “certain important values may not be quantifiable in water productivity metrics” is correct, especially with respect to social and environmental values that are very difficult to convert accurately to dollars (that is, noncommensurable). This is a good reason to use WVI instead of (economic) water productivity.
https://deming.org/myth-if-you-cant-measure-it-you-cant-manage-it/
More detailed comments:
The title is quite general – perhaps a subtitle could indicate what specifically the paper is about, namely that water adds different types of value that cannot easily be commensurated.
AUTHORS: How about “A Comparison of Multiple [economic,noncommensurable?] Values Produced Using Water in Phoenix Metropolitan Area Cities”?Or
“Water delivery by Phoenix Metro Area cities produces multiple values serving different stakeholders”?
Or
“Water productivity is in the eye of the beholder; the multiple values produces by water use in Phoenix Metropolitan Area cities”I would prefer a straightforward use of the concept of water productivity, as against the little known “water value intensity” concept.
AUTHORS: We need help getting this right, as we have also struggled with this point in the current paper and in multiple other publications using the ERA methods. The language conventions on this topic are problematic, particularly when working across disciplinary boundaries. We would also prefer the more intuitive and general term “water productivity” as indicated in the paper’s title… however, it seems that this is a term that has different meanings to different people. For example:
“Water productivity is the ratio of the net benefits from crop, forestry, fishery, livestock and mixed agricultural systems to the amount of water used” - https://www.sciencedirect.com/science/article/pii/S0378377409000912
“Water productivity is defined as production obtained per unit of water consumption” - https://iopscience.iop.org/article/10.1088/1748-9326/ab9d39
“Water productivity relates to the amount of yield per unit of water used” - https://thewaterchannel.tv/videos/what-is-water-productivity/
And also see this more detailed discussion by Morita 2021: https://doi.org/10.1016/B978-0-323-91277-8.00005-8
Per Moria 2021, what we present here as WVI is similar to the water productivity definition based on single factor production using water withdrawals (not consumption), with or without adjustment for L&U which is the difference between withdrawn and delivered water. In other words, WVI is similar to the Partial factor productivity (PFP) , which is a ratio of a measure of total output to a measure of a single input category. The two differences are technicalities, and are that (a) WVI could include indirect value production, and (b) WVI makes no attempt to use total productivity and instead is calculated several times using several different and non-commensurable productivities (i.e. values). This is why we went through the trouble of deriving WVI. It is a specific and disambiguated metric that is roughly similar to water productivity but differs in the precise details of its construction. Or, if you prefer, WVI is a very specific type of water productivity measurement that facilitates comparison of noncommensurable values. This latter is the interpretation we present in the paper.
The values of WVI presented (as in Figure 3) are, I guess, normalized values. But this is not explained in the text. Also the dimensions/units of value should be explicitly reported when values are presented.
AUTHORS: Agreed
The concept of “payroll’ may need an explanation, as not all readers may be familiar with this concept; I understand that it refers to the wage bill/salaries?
AUTHORS: Agreed, and you are correct with your understanding.
The acronyms SRP and CAP are not explained when first used (line 92), nor ADWR (line 108).
AUTHORS: Agreed
I found it confusing that one the one hand the authors explain that they use data on water withdrawals, and not data on water consumed (line 102 and lines 107-112), and that they later add L&U water (= lost and unaccounted for water) to the data on water use/water withdrawals they got from ADWR. To the reader this may seem that some double counting of water might occur. This requires an explanation.
AUTHORS: Thank you for pointing out the confusion. The difference here is not between withdrawal and consumption, but rather between withdrawn and delivered water. Delivered water is withdrawn water less L&U losses. Delivered water is the right way to count from the perspective of the water customer and is used herein, but withdrawn water could be the right way to count from the city’s perspective.
In this same sense I think it would be wise to use one consistent term for these data: is it “water use”, “water withdrawal” or “water demand”? In the tables in Annex B the term ‘demand’ is used. But the demand for water may not be identical to the use of water, and thus not for the water withdrawals. So water demand is not entirely a correct term for the data used in this paper. I oudl recommend to choose between “water use”, “water withdrawal”.
AUTHORS: Agreed.
Appendix A-1 (line 140) doesn’t exist. I guess you mean Appendix A.
AUTHORS: Agreed.
Lines 156-157 state: “In this case there are six direct and local values produced, one direct impact on the local freshwater stock…” But these direct and local values and the direct impact are not made explicit. Are these the same as the (6, or 67 or 8) mentioned earlier?
AUTHORS: Agreed.
Figure 3: not clear what the blue line of population signifies. What is the unit? What does a population of “1” mean?
AUTHORS: Agreed; The unit is population per acre-foot.
Table 1: I don’t understand how the last two columns (“Acre feet per km2 of city” and “Acre feet per person per km2”) were calculated.
AUTHORS: This explanation was not provided; we will add it.
There are several sentences where a word is missing, or something else is amiss in the sentence, including in the following lines: 99, 109, 118, 129, 266, 280.
AUTHORS: Agreed.Citation: https://doi.org/10.5194/egusphere-2022-1367-AC1
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AC1: 'Reply on RC1', Benjamin L. Ruddell, 31 Mar 2023
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RC2: 'Comment on egusphere-2022-1367', Jani Salminen, 13 Mar 2023
This manuscript evaluates water use volumes in Phoenix metropolitan area cities by generating different metrics that are based on population, taxes, revenues etc. The aim is to demonstrate to decisionmakers that the conventional water allocation metrics, water use volume per inhabitant, is insufficient and may result in biased or misleading policies regarding the allocation of (scarce) water resources.
As such I believe the concept of the paper is of value for different stakeholders in the US (and beyond) and help to understand that a broader set of metrics should be used when shaping water allocation policies. For the scientific audience, the manuscript may be of less interest as I believe a majority of the findings are somewhat self-evident. For instance, that the pattern of water use (withdrawal) is dependent on the relative prevalence of (the different types of) primary production, manufacturing industries, services and residential areas. Therefore, to make the manuscript more interesting for larger scientific audiences, I make some suggestions how to elaborate the present version. Also, I spotted some minor issues that the authors should check and correct.
Major comments:
In the introduction, the authors correctly state that the simple metrics, Gallons per Capita per Day (GPCD), simplifies water allocation policies unnecessarily, if used as such. The authors, however, also state that “[t]he goal of water policy should be to do more social, environmental, and economic good with limited water resources, but not necessarily to use less water.” While this may be true, this phrasing made me ask whether water scarcity is an issue in the case study area (as suggested in the Introduction)? For the choice of water allocation metrics and policies I suppose it would make a lot of difference if there is a need to limit the overall water withdrawal within the case study area. I might have missed this notion and connection in the manuscript but for me it remained unclear which role the simple need to reduce water use really plays in the study area. This should be clarified in the manuscript. Are you expecting to run short of available water and is that the primary incentive for the need of different metrics? I wonder if you could clarify this.
Following that thought, it would be essential to evaluate what kind of water use (industries, activities) are promoted in political decision-making. Is it possible to increase the share of water-intensive industries or the other way around? How about the anticipated (?) increase in the population? This is also related to the fact that you analyzed, as far as I understood it right, only direct water use and embedded or life-cycle water use is not addressed. Bringing these two issues together, decision-makers might want to prioritize water allocation to industries/activities that is essential for the local supply chains and residents. For instance, if there is food industry that is dependent on local agricultural commodities, it would be valuable to identify such value chains and analyze their role in the water allocation and related policies. Similarly, if for instance semiconductor industry would rely largely on resources from other regions and countries, such interdependencies would not be related to water use in regard to that industry. I realize that you might not have data available to address these kinds of issues. Nevertheless, I wonder if these issues would find a place in the Discussion in the context of the use and need of different water use metrics.
Minor comments:
Graphical abstract: The meaning of the black line is not explained. The caption of Fig. 3 states that “the PMA’s mean value is 1 (black)”. Please consider adding this text to the legend box.
- 82: Net revenue is mentioned two times, in (3) and (5).
- 93: The abbreviations SRP and CAP are explained only at line 163. They should be explained here.
- 111: “Also, reclaimed water generally is used low economic value or indirect economic value… “ Is there something missing here?
- 149: “Simplified Embedded Resource Accounting: or, Point of View Matters in Water Use Accounting“ Are these subtitles alternative to each other?
- 156 “is therefore also disinterested in in indirect value creation…” Extra ‘in’ in this sentence?
- 168-183. This part of the method description is difficult to comprehend. Also, later in the manuscript, there is a reference to ‘Pareto’. I believe this text is easier to digest if one is an economist but for larger audiences this might be too ambiguous.
Citation: https://doi.org/10.5194/egusphere-2022-1367-RC2 -
AC2: 'Reply on RC2', Benjamin L. Ruddell, 31 Mar 2023
Reply to Salminen; replies inline
This manuscript evaluates water use volumes in Phoenix metropolitan area cities by generating different metrics that are based on population, taxes, revenues etc. The aim is to demonstrate to decisionmakers that the conventional water allocation metrics, water use volume per inhabitant, is insufficient and may result in biased or misleading policies regarding the allocation of (scarce) water resources.
As such I believe the concept of the paper is of value for different stakeholders in the US (and beyond) and help to understand that a broader set of metrics should be used when shaping water allocation policies. For the scientific audience, the manuscript may be of less interest as I believe a majority of the findings are somewhat self-evident. For instance, that the pattern of water use (withdrawal) is dependent on the relative prevalence of (the different types of) primary production, manufacturing industries, services and residential areas. Therefore, to make the manuscript more interesting for larger scientific audiences, I make some suggestions how to elaborate the present version. Also, I spotted some minor issues that the authors should check and correct.
Major comments:
In the introduction, the authors correctly state that the simple metrics, Gallons per Capita per Day (GPCD), simplifies water allocation policies unnecessarily, if used as such. The authors, however, also state that “[t]he goal of water policy should be to do more social, environmental, and economic good with limited water resources, but not necessarily to use less water.” While this may be true, this phrasing made me ask whether water scarcity is an issue in the case study area (as suggested in the Introduction)? For the choice of water allocation metrics and policies I suppose it would make a lot of difference if there is a need to limit the overall water withdrawal within the case study area. I might have missed this notion and connection in the manuscript but for me it remained unclear which role the simple need to reduce water use really plays in the study area. This should be clarified in the manuscript. Are you expecting to run short of available water and is that the primary incentive for the need of different metrics? I wonder if you could clarify this.
AUTHORS: Thank you for pointing out the lack of clarity. We see that we assumed readers know about the serious water stresses and shortages facing the Phoenix Metropolitan Area. We will add clarity on this point.
Following that thought, it would be essential to evaluate what kind of water use (industries, activities) are promoted in political decision-making. Is it possible to increase the share of water-intensive industries or the other way around? How about the anticipated (?) increase in the population? This is also related to the fact that you analyzed, as far as I understood it right, only direct water use and embedded or life-cycle water use is not addressed. Bringing these two issues together, decision-makers might want to prioritize water allocation to industries/activities that is essential for the local supply chains and residents. For instance, if there is food industry that is dependent on local agricultural commodities, it would be valuable to identify such value chains and analyze their role in the water allocation and related policies. Similarly, if for instance semiconductor industry would rely largely on resources from other regions and countries, such interdependencies would not be related to water use in regard to that industry. I realize that you might not have data available to address these kinds of issues. Nevertheless, I wonder if these issues would find a place in the Discussion in the context of the use and need of different water use metrics.
AUTHORS: Your question about indirect water usage in the value chain is apt and was also raised by an earlier reviewer; please see our answer to the other reviewer on the point. In fact the authors have already published the analysis you mention here- specifically, on the virtual water in supply chains that lie within and without the Phoenix Metropolitan Area. Combining that indirect water use analysis with the present paper’s multiple value analysis is a very good idea, but it is outside our current scope. We think it is important to develop a clear presentation of the multiple-values argument first, and on its own merits, before adding the complication of indirect valuation.Minor comments:
Graphical abstract: The meaning of the black line is not explained. The caption of Fig. 3 states that “the PMA’s mean value is 1 (black)”. Please consider adding this text to the legend box.
1. 82: Net revenue is mentioned two times, in (3) and (5).
2. 93: The abbreviations SRP and CAP are explained only at line 163. They should be explained here.
3. 111: “Also, reclaimed water generally is used low economic value or indirect economic value… “ Is there something missing here?
4. 149: “Simplified Embedded Resource Accounting: or, Point of View Matters in Water Use Accounting“ Are these subtitles alternative to each other?
5. 156 “is therefore also disinterested in in indirect value creation…” Extra ‘in’ in this sentence?
6. 168-183. This part of the method description is difficult to comprehend. Also, later in the manuscript, there is a reference to ‘Pareto’. I believe this text is easier to digest if one is an economist but for larger audiences this might be too ambiguous.AUTHORS: Agreed; we will address these points.
Citation: https://doi.org/10.5194/egusphere-2022-1367-AC2
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-1367', Pieter van der Zaag, 15 Jan 2023
I find the topic interesting and relevant. I have four comments and a few more detailed comments.
My first comment is that I find the paper not so easy to read, although the argument of the paper is not very complex. I am therefore convinced that the presentation of the work can be much improved. I mention two points of improvements.
(a) The authors could select a reduced number of water productivity metrics that most aptly reflect the point the authors wish to make (and in supplementary materials they could include details of the other metrics considered). I base this comment on the following. Figure 3 demonstrates that two groups of each two metrics behave identically in the different locations (namely Gross Revenue and State Sales Tax, and Payroll and State Income Tax), and for the second group a third metric only deviates from its two metrics in one location (namely Net Revenue, which behaves differently only in Phoenix). If one would delve into the details of those metrics, I guess it wouldn’t be very difficult to explain why they behave identically. This would enable to simplify the paper and select the most telling metric of each group, or the one that is most easily to be collected/measured, while commenting that the other metric can also be used.
(b) The point made towards the end of section 2 could be presented more prominently, namely that different stakeholders value different metrics differently. The argument of the paper could then be weaved along these selected stakeholders. This would in my view make the paper much more easily readable and thus much more attractive.
As a side note, it remains unclear how many metrics the paper reports; in the text it is stated that they are six (line116), whereas 7 are reported in lines 116 and 117, but in lines 80-81, there are 8 metrics mentioned. But note that “net revenue” is mentioned twice in both. In figure 3, however, only 6 appear. This requires clarification.
My second comment concerns details. Some details are given in the paper, but these should either be better explained, or relegated to an appendix. I refer here to the issue of including or excluding the indirect value. I guess this is an important issue but the assumptions and implications of excluding these seem to come as an afterthought.
A third comment: I am not an economist, but I find the suggestion that all values used as metrics are all fully attributed to (or imputed to) the water input. For example, in line 202 it states: “Property taxes were used as a measure for the values produced by residential water use.” Similarly, in lines 94-95 it is stated that “Within each municipality water is allocated to Residential and Non-Residential uses, which yield residential values (income tax, property tax, population) and non-residential values (payroll, net/gross revenue, sales tax).”
But it is clear that water is only one input among many that produces this value, and often a relatively minor input compared to others.
A fourth comment refers to the statement made in the beginning of the paper in lines 49-50: “... we manage what we measure …”. This is potentially a problematic statement, as this might imply that what cannot be measured cannot be managed. And this may have a problematic relation with a remark made towards the end of the paper, namely in lines 278-280, “We omit environmental and social wellness values, from this research (…) due to a lack of quantifiable data on these measures.” Doesn’t this pose a fundamental limitation to the main purpose of this paper, namely that certain important values may not be quantifiable in water productivity metrics. I would find it interesting if the authors would include a more nuanced reflection on this issue.
More detailed comments:
The title is quite general – perhaps a subtitle could indicate what specifically the paper is about, namely that water adds different types of value that cannot easily be commensurated.
I would prefer a straightforward use of the concept of water productivity, as against the little known “water value intensity” concept.
The values of WVI presented (as in Figure 3) are, I guess, normalised values. But this is not explained in the text. Also the dimensions/units of value should be explicitly reported when values are presented.
The concept of “payroll’ may need an explanation, as not all readers may be familiar with this concept; I understand that it refers to the wage bill/salaries?
The acronyms SRP and CAP are not explained when first used (line 92), nor ADWR (line 108).
I found it confusing that one the one hand the authors explain that they use data on water withdrawals, and not data on water consumed (line 102 and lines 107-112), and that they later add L&U water (= lost and unaccounted for water) to the data on water use/water withdrawals they got from ADWR. To the reader this may seem that some double counting of water might occur. This requires an explanation.
In this same sense I think it would be wise to use one consistent term for these data: is it “water use”, “water withdrawal” or “water demand”? In the tables in Annex B the term ‘demand’ is used. But the demand for water may not be identical to the use of water, and thus not for the water withdrawals. So water demand is not entirely a correct term for the data used in this paper. I oudl recommend to choose between “water use”, “water withdrawal”.
Appendix A-1 (line 140) doesn’t exist. I guess you mean Appendix A.
Lines 156-157 state: “In this case there are six direct and local values produced, one direct impact on the local freshwater stock…” But these direct and local values and the direct impact are not made explicit. Are these the same as the (6, or 67 or 8) mentioned earlier?
Figure 3: not clear what the blue line of population signifies. What is the unit? What does a population of “1” mean?
Table 1: I don’t understand how the last two columns (“Acre feet per km2 of city” and “Acre feet per person per km2”) were calculated.
There are several sentences where a word is missing, or something else is amiss in the sentence, including in the following lines: 99, 109, 118, 129, 266, 280.
Citation: https://doi.org/10.5194/egusphere-2022-1367-RC1 -
AC1: 'Reply on RC1', Benjamin L. Ruddell, 31 Mar 2023
Reply to van der Zaag; replies inline
I find the topic interesting and relevant. I have four comments and a few more detailed comments.
My first comment is that I find the paper not so easy to read, although the argument of the paper is not very complex. I am therefore convinced that the presentation of the work can be much improved. I mention two points of improvements.
(a) The authors could select a reduced number of water productivity metrics that most aptly reflect the point the authors wish to make (and in supplementary materials they could include details of the other metrics considered). I base this comment on the following. Figure 3 demonstrates that two groups of each two metrics behave identically in the different locations (namely Gross Revenue and State Sales Tax, and Payroll and State Income Tax), and for the second group a third metric only deviates from its two metrics in one location (namely Net Revenue, which behaves differently only in Phoenix). If one would delve into the details of those metrics, I guess it wouldn’t be very difficult to explain why they behave identically. This would enable to simplify the paper and select the most telling metric of each group, or the one that is most easily to be collected/measured, while commenting that the other metric can also be used.
AUTHORS: It is true that these metrics are correlated, particularly with respect to taxes which are a simple function of profits. But they are not correlated 1:1. Because we have not seen a similar paper published in the literature in the past, one of our goals is to present as many different value metrics as possible, and to give the reader a basic sense of how they are related. We strongly agree that a real-world policy application of this method would choose a subset of metrics (and possibly different metrics than are presented here). The argument about “point of view” is the important idea here. Different political constituencies will care about different values, so it is important to calculate and present the values that each constituency cares about, even if those values are redundant or correlated. This is actually desirable that multiple constituencies have correlated values, as it aligns interests and (often) policy preferences.
(b) The point made towards the end of section 2 could be presented more prominently, namely that different stakeholders value different metrics differently. The argument of the paper could then be weaved along these selected stakeholders. This would in my view make the paper much more easily readable and thus much more attractive.
AUTHORS: Thank you for emphasizing this point. We agree, and we have promoted this argument. This argument is really central to the purpose of this study, and it is important that the reader not be allowed to miss the point.
As a side note, it remains unclear how many metrics the paper reports; in the text it is stated that they are six (line116), whereas 7 are reported in lines 116 and 117, but in lines 80-81, there are 8 metrics mentioned. But note that “net revenue” is mentioned twice in both. In figure 3, however, only 6 appear. This requires clarification.
AUTHORS: Agreed
My second comment concerns details. Some details are given in the paper, but these should either be better explained, or relegated to an appendix. I refer here to the issue of including or excluding the indirect value. I guess this is an important issue but the assumptions and implications of excluding these seem to come as an afterthought.
AUTHORS: The second reviewer also brought up the issue of indirect value. Indirect value presents us with a difficult editorial decision. On one hand, indirect value creation is a real thing and is relevant to economic decisions; and it is also a part of the Embedded Resource Accounting framework we apply in the paper’s mathematics. On the other hand, indirect value creation is secondary to the direct value creation, and including those results will make the paper dramatically longer and more complicated. We decided to explicitly recognize indirect value creation as a component of the mathematics, and then to neglect it for clarity and brevity, as it is secondary to our main point. It might be clearer to simply ignore the topic completely, as most related papers choose to do, but in our view this fails the reader. We have attempted to clarify the implications of excluding indirect value, and we hope you find the effort an improvement. References:
Ruddell, B.L., Adams, E.A., Rushforth, R. and Tidwell, V.C., 2014. Embedded resource accounting for coupled natural‐human systems: An application to water resource impacts of the western US electrical energy trade. Water Resources Research, 50(10), pp.7957-7972.
Rushforth, R.R. and Ruddell, B.L., 2015. The hydro-economic interdependency of cities: Virtual water connections of the Phoenix, Arizona Metropolitan Area. Sustainability, 7(7), pp.8522-8547.
A third comment: I am not an economist, but I find the suggestion that all values used as metrics are all fully attributed to (or imputed to) the water input. For example, in line 202 it states: “Property taxes were used as a measure for the values produced by residential water use.” Similarly, in lines 94-95 it is stated that “Within each municipality water is allocated to Residential and Non-Residential uses, which yield residential values (income tax, property tax, population) and non-residential values (payroll, net/gross revenue, sales tax).”
But it is clear that water is only one input among many that produces this value, and often a relatively minor input compared to others.
AUTHORS: We do not intend to argue that all the values used as metrics are fully attributed to the water. That would be the “Value of the Marginal Product” of the water (under SEEA rules). Instead, we are presenting numbers more like Water Productivity, as you point out; it is the simple ratio of a partial output to a partial input.
A fourth comment refers to the statement made in the beginning of the paper in lines 49-50: “... we manage what we measure …”. This is potentially a problematic statement, as this might imply that what cannot be measured cannot be managed. And this may have a problematic relation with a remark made towards the end of the paper, namely in lines 278-280, “We omit environmental and social wellness values, from this research (…) due to a lack of quantifiable data on these measures.” Doesn’t this pose a fundamental limitation to the main purpose of this paper, namely that certain important values may not be quantifiable in water productivity metrics. I would find it interesting if the authors would include a more nuanced reflection on this issue.
AUTHORS: We agree that the lack of environmental and social data (and other economic data) is a limitation of the study. The paper would be better if we had more of this data. Hopefully future applications of this approach will solve that limitation.
AUTHORS: We do not wish to scientifically argue the statement that “we manage what we measure”, as it is a figure of speech meant to add emphasis. In fact, Deming agrees with you that the statement is not entirely correct. We agree to remove the statement if it does more harm than good.
AUTHORS: Your point that “certain important values may not be quantifiable in water productivity metrics” is correct, especially with respect to social and environmental values that are very difficult to convert accurately to dollars (that is, noncommensurable). This is a good reason to use WVI instead of (economic) water productivity.
https://deming.org/myth-if-you-cant-measure-it-you-cant-manage-it/
More detailed comments:
The title is quite general – perhaps a subtitle could indicate what specifically the paper is about, namely that water adds different types of value that cannot easily be commensurated.
AUTHORS: How about “A Comparison of Multiple [economic,noncommensurable?] Values Produced Using Water in Phoenix Metropolitan Area Cities”?Or
“Water delivery by Phoenix Metro Area cities produces multiple values serving different stakeholders”?
Or
“Water productivity is in the eye of the beholder; the multiple values produces by water use in Phoenix Metropolitan Area cities”I would prefer a straightforward use of the concept of water productivity, as against the little known “water value intensity” concept.
AUTHORS: We need help getting this right, as we have also struggled with this point in the current paper and in multiple other publications using the ERA methods. The language conventions on this topic are problematic, particularly when working across disciplinary boundaries. We would also prefer the more intuitive and general term “water productivity” as indicated in the paper’s title… however, it seems that this is a term that has different meanings to different people. For example:
“Water productivity is the ratio of the net benefits from crop, forestry, fishery, livestock and mixed agricultural systems to the amount of water used” - https://www.sciencedirect.com/science/article/pii/S0378377409000912
“Water productivity is defined as production obtained per unit of water consumption” - https://iopscience.iop.org/article/10.1088/1748-9326/ab9d39
“Water productivity relates to the amount of yield per unit of water used” - https://thewaterchannel.tv/videos/what-is-water-productivity/
And also see this more detailed discussion by Morita 2021: https://doi.org/10.1016/B978-0-323-91277-8.00005-8
Per Moria 2021, what we present here as WVI is similar to the water productivity definition based on single factor production using water withdrawals (not consumption), with or without adjustment for L&U which is the difference between withdrawn and delivered water. In other words, WVI is similar to the Partial factor productivity (PFP) , which is a ratio of a measure of total output to a measure of a single input category. The two differences are technicalities, and are that (a) WVI could include indirect value production, and (b) WVI makes no attempt to use total productivity and instead is calculated several times using several different and non-commensurable productivities (i.e. values). This is why we went through the trouble of deriving WVI. It is a specific and disambiguated metric that is roughly similar to water productivity but differs in the precise details of its construction. Or, if you prefer, WVI is a very specific type of water productivity measurement that facilitates comparison of noncommensurable values. This latter is the interpretation we present in the paper.
The values of WVI presented (as in Figure 3) are, I guess, normalized values. But this is not explained in the text. Also the dimensions/units of value should be explicitly reported when values are presented.
AUTHORS: Agreed
The concept of “payroll’ may need an explanation, as not all readers may be familiar with this concept; I understand that it refers to the wage bill/salaries?
AUTHORS: Agreed, and you are correct with your understanding.
The acronyms SRP and CAP are not explained when first used (line 92), nor ADWR (line 108).
AUTHORS: Agreed
I found it confusing that one the one hand the authors explain that they use data on water withdrawals, and not data on water consumed (line 102 and lines 107-112), and that they later add L&U water (= lost and unaccounted for water) to the data on water use/water withdrawals they got from ADWR. To the reader this may seem that some double counting of water might occur. This requires an explanation.
AUTHORS: Thank you for pointing out the confusion. The difference here is not between withdrawal and consumption, but rather between withdrawn and delivered water. Delivered water is withdrawn water less L&U losses. Delivered water is the right way to count from the perspective of the water customer and is used herein, but withdrawn water could be the right way to count from the city’s perspective.
In this same sense I think it would be wise to use one consistent term for these data: is it “water use”, “water withdrawal” or “water demand”? In the tables in Annex B the term ‘demand’ is used. But the demand for water may not be identical to the use of water, and thus not for the water withdrawals. So water demand is not entirely a correct term for the data used in this paper. I oudl recommend to choose between “water use”, “water withdrawal”.
AUTHORS: Agreed.
Appendix A-1 (line 140) doesn’t exist. I guess you mean Appendix A.
AUTHORS: Agreed.
Lines 156-157 state: “In this case there are six direct and local values produced, one direct impact on the local freshwater stock…” But these direct and local values and the direct impact are not made explicit. Are these the same as the (6, or 67 or 8) mentioned earlier?
AUTHORS: Agreed.
Figure 3: not clear what the blue line of population signifies. What is the unit? What does a population of “1” mean?
AUTHORS: Agreed; The unit is population per acre-foot.
Table 1: I don’t understand how the last two columns (“Acre feet per km2 of city” and “Acre feet per person per km2”) were calculated.
AUTHORS: This explanation was not provided; we will add it.
There are several sentences where a word is missing, or something else is amiss in the sentence, including in the following lines: 99, 109, 118, 129, 266, 280.
AUTHORS: Agreed.Citation: https://doi.org/10.5194/egusphere-2022-1367-AC1
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AC1: 'Reply on RC1', Benjamin L. Ruddell, 31 Mar 2023
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RC2: 'Comment on egusphere-2022-1367', Jani Salminen, 13 Mar 2023
This manuscript evaluates water use volumes in Phoenix metropolitan area cities by generating different metrics that are based on population, taxes, revenues etc. The aim is to demonstrate to decisionmakers that the conventional water allocation metrics, water use volume per inhabitant, is insufficient and may result in biased or misleading policies regarding the allocation of (scarce) water resources.
As such I believe the concept of the paper is of value for different stakeholders in the US (and beyond) and help to understand that a broader set of metrics should be used when shaping water allocation policies. For the scientific audience, the manuscript may be of less interest as I believe a majority of the findings are somewhat self-evident. For instance, that the pattern of water use (withdrawal) is dependent on the relative prevalence of (the different types of) primary production, manufacturing industries, services and residential areas. Therefore, to make the manuscript more interesting for larger scientific audiences, I make some suggestions how to elaborate the present version. Also, I spotted some minor issues that the authors should check and correct.
Major comments:
In the introduction, the authors correctly state that the simple metrics, Gallons per Capita per Day (GPCD), simplifies water allocation policies unnecessarily, if used as such. The authors, however, also state that “[t]he goal of water policy should be to do more social, environmental, and economic good with limited water resources, but not necessarily to use less water.” While this may be true, this phrasing made me ask whether water scarcity is an issue in the case study area (as suggested in the Introduction)? For the choice of water allocation metrics and policies I suppose it would make a lot of difference if there is a need to limit the overall water withdrawal within the case study area. I might have missed this notion and connection in the manuscript but for me it remained unclear which role the simple need to reduce water use really plays in the study area. This should be clarified in the manuscript. Are you expecting to run short of available water and is that the primary incentive for the need of different metrics? I wonder if you could clarify this.
Following that thought, it would be essential to evaluate what kind of water use (industries, activities) are promoted in political decision-making. Is it possible to increase the share of water-intensive industries or the other way around? How about the anticipated (?) increase in the population? This is also related to the fact that you analyzed, as far as I understood it right, only direct water use and embedded or life-cycle water use is not addressed. Bringing these two issues together, decision-makers might want to prioritize water allocation to industries/activities that is essential for the local supply chains and residents. For instance, if there is food industry that is dependent on local agricultural commodities, it would be valuable to identify such value chains and analyze their role in the water allocation and related policies. Similarly, if for instance semiconductor industry would rely largely on resources from other regions and countries, such interdependencies would not be related to water use in regard to that industry. I realize that you might not have data available to address these kinds of issues. Nevertheless, I wonder if these issues would find a place in the Discussion in the context of the use and need of different water use metrics.
Minor comments:
Graphical abstract: The meaning of the black line is not explained. The caption of Fig. 3 states that “the PMA’s mean value is 1 (black)”. Please consider adding this text to the legend box.
- 82: Net revenue is mentioned two times, in (3) and (5).
- 93: The abbreviations SRP and CAP are explained only at line 163. They should be explained here.
- 111: “Also, reclaimed water generally is used low economic value or indirect economic value… “ Is there something missing here?
- 149: “Simplified Embedded Resource Accounting: or, Point of View Matters in Water Use Accounting“ Are these subtitles alternative to each other?
- 156 “is therefore also disinterested in in indirect value creation…” Extra ‘in’ in this sentence?
- 168-183. This part of the method description is difficult to comprehend. Also, later in the manuscript, there is a reference to ‘Pareto’. I believe this text is easier to digest if one is an economist but for larger audiences this might be too ambiguous.
Citation: https://doi.org/10.5194/egusphere-2022-1367-RC2 -
AC2: 'Reply on RC2', Benjamin L. Ruddell, 31 Mar 2023
Reply to Salminen; replies inline
This manuscript evaluates water use volumes in Phoenix metropolitan area cities by generating different metrics that are based on population, taxes, revenues etc. The aim is to demonstrate to decisionmakers that the conventional water allocation metrics, water use volume per inhabitant, is insufficient and may result in biased or misleading policies regarding the allocation of (scarce) water resources.
As such I believe the concept of the paper is of value for different stakeholders in the US (and beyond) and help to understand that a broader set of metrics should be used when shaping water allocation policies. For the scientific audience, the manuscript may be of less interest as I believe a majority of the findings are somewhat self-evident. For instance, that the pattern of water use (withdrawal) is dependent on the relative prevalence of (the different types of) primary production, manufacturing industries, services and residential areas. Therefore, to make the manuscript more interesting for larger scientific audiences, I make some suggestions how to elaborate the present version. Also, I spotted some minor issues that the authors should check and correct.
Major comments:
In the introduction, the authors correctly state that the simple metrics, Gallons per Capita per Day (GPCD), simplifies water allocation policies unnecessarily, if used as such. The authors, however, also state that “[t]he goal of water policy should be to do more social, environmental, and economic good with limited water resources, but not necessarily to use less water.” While this may be true, this phrasing made me ask whether water scarcity is an issue in the case study area (as suggested in the Introduction)? For the choice of water allocation metrics and policies I suppose it would make a lot of difference if there is a need to limit the overall water withdrawal within the case study area. I might have missed this notion and connection in the manuscript but for me it remained unclear which role the simple need to reduce water use really plays in the study area. This should be clarified in the manuscript. Are you expecting to run short of available water and is that the primary incentive for the need of different metrics? I wonder if you could clarify this.
AUTHORS: Thank you for pointing out the lack of clarity. We see that we assumed readers know about the serious water stresses and shortages facing the Phoenix Metropolitan Area. We will add clarity on this point.
Following that thought, it would be essential to evaluate what kind of water use (industries, activities) are promoted in political decision-making. Is it possible to increase the share of water-intensive industries or the other way around? How about the anticipated (?) increase in the population? This is also related to the fact that you analyzed, as far as I understood it right, only direct water use and embedded or life-cycle water use is not addressed. Bringing these two issues together, decision-makers might want to prioritize water allocation to industries/activities that is essential for the local supply chains and residents. For instance, if there is food industry that is dependent on local agricultural commodities, it would be valuable to identify such value chains and analyze their role in the water allocation and related policies. Similarly, if for instance semiconductor industry would rely largely on resources from other regions and countries, such interdependencies would not be related to water use in regard to that industry. I realize that you might not have data available to address these kinds of issues. Nevertheless, I wonder if these issues would find a place in the Discussion in the context of the use and need of different water use metrics.
AUTHORS: Your question about indirect water usage in the value chain is apt and was also raised by an earlier reviewer; please see our answer to the other reviewer on the point. In fact the authors have already published the analysis you mention here- specifically, on the virtual water in supply chains that lie within and without the Phoenix Metropolitan Area. Combining that indirect water use analysis with the present paper’s multiple value analysis is a very good idea, but it is outside our current scope. We think it is important to develop a clear presentation of the multiple-values argument first, and on its own merits, before adding the complication of indirect valuation.Minor comments:
Graphical abstract: The meaning of the black line is not explained. The caption of Fig. 3 states that “the PMA’s mean value is 1 (black)”. Please consider adding this text to the legend box.
1. 82: Net revenue is mentioned two times, in (3) and (5).
2. 93: The abbreviations SRP and CAP are explained only at line 163. They should be explained here.
3. 111: “Also, reclaimed water generally is used low economic value or indirect economic value… “ Is there something missing here?
4. 149: “Simplified Embedded Resource Accounting: or, Point of View Matters in Water Use Accounting“ Are these subtitles alternative to each other?
5. 156 “is therefore also disinterested in in indirect value creation…” Extra ‘in’ in this sentence?
6. 168-183. This part of the method description is difficult to comprehend. Also, later in the manuscript, there is a reference to ‘Pareto’. I believe this text is easier to digest if one is an economist but for larger audiences this might be too ambiguous.AUTHORS: Agreed; we will address these points.
Citation: https://doi.org/10.5194/egusphere-2022-1367-AC2
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Benjamin Ruddell
Richard Rushforth
Diane Hope
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