{"id":2898,"date":"2014-04-08T09:05:16","date_gmt":"2014-04-08T14:05:16","guid":{"rendered":"http:\/\/synapse9.com\/signals\/?p=2898"},"modified":"2015-11-30T10:51:35","modified_gmt":"2015-11-30T15:51:35","slug":"easy-intro-scope-4-use-interpretation","status":"publish","type":"post","link":"https:\/\/synapse9.com\/signals\/easy-intro-scope-4-use-interpretation\/","title":{"rendered":"Easy Intro, &#8220;scope 4&#8221; use &#038; interpretation"},"content":{"rendered":"<h3><em>Here&#8217;s the whole problem:<\/em><\/h3>\n<p style=\"padding-left: 30px;\"><em>Scope-4 impact measures add up the total environmental inputs resulting from\u00a0business, personal, or policy choices. That&#8217;s so we can compare different choices, and make the better one. \u00a0 Sounds like what\u00a0sustainability\u00a0metrics\u00a0<span style=\"text-decoration: underline;\">should do<\/span>! <\/em><\/p>\n<h4 style=\"padding-left: 30px; text-align: center;\"><em>Standard\u00a0sustainability metrics, however, collect impact information by\u00a0<span style=\"text-decoration: underline;\">where<\/span>\u00a0they occur,<br \/>\nnot by\u00a0what\u00a0<span style=\"text-decoration: underline;\">choices<\/span> cause them&#8230;<\/em><\/h4>\n<p style=\"padding-left: 30px;\"><em>So our whole metric system needs to be rethought. \u00a0 \u00a0Today if a business decision involves employing six new machines and six new people, all that is counted are the impacts of the machines. \u00a0 The impacts of hiring the people or paying the investors or the government&#8230;\u00a0aren&#8217;t counted. \u00a0 Nature\u00a0sees all the kinds of impacts incurred by business decisions exactly\u00a0the same way, though! \u00a0 \u00a0It was our accounting\u00a0community, going back centuries it actually seems, that decided\u00a0to\u00a0count one and not the other. \u00a0 \u00a0 \u00a0<\/em><\/p>\n<p style=\"padding-left: 30px;\"><em>The omitted impacts are actually not hard to\u00a0scientifically estimate for scale. \u00a0 That&#8217;s what Scope-4 accounting does.\u00a0\u00a0 As you work with it you find more and more ways having the numbers right results in big\u00a0changes the terms of discussion. \u00a0 \u00a0 The core scientific issue then, is having a metric that does not associate environmental impacts of business with the choices that cause them, but with the locations where the information is collected. \u00a0 That inconsistency\u00a0may be as fundamental to economic\u00a0accounting\u00a0as to have originated in how business records were kept in ancient times on clay tablets.<\/em><\/p>\n<p>&nbsp;<\/p>\n<h3 style=\"text-align: left;\">The [ e = mc^2 ] LAW OF SUSTAINABILITY<\/h3>\n<h3 style=\"text-align: center;\">ln(e) \/ ln($) \u00a0= \u00a0c<\/h3>\n<p style=\"padding-left: 30px; text-align: center;\">It says our <span style=\"color: #993300;\"><strong>growing earth impacts<\/strong><\/span> and <span style=\"color: #993300;\"><strong>growing earth\u00a0economy <\/strong><\/span>are\u00a0directly coupled.<\/p>\n<p style=\"padding-left: 30px;\">The natural constant observed, [<strong>c<\/strong>]<strong>,<\/strong>\u00a0is\u00a0the coupling of GDP and Energy use, as <span style=\"text-decoration: underline;\"><em>a <\/em><em>measure of everything physical the economy does.<\/em><\/span> \u00a0 It&#8217;s expressed as a\u00a0ratio of their growth rates (here as a ratio of their natural logs). That coupling has been a\u00a0constant [<strong>0.6<\/strong>] for a long time. You see it clearly in the figure below, showing a\u00a040 year official world record for the economy&#8217;s growing Energy use and GDP.<\/p>\n<p style=\"padding-left: 30px;\">It says that our increasing use of energy for\u00a0altering the planet to make money grows only a little slower than GDP, at 0.6 times the growth rate of GDP, <em><strong>AND<\/strong><\/em>\u00a0that this direct coupling\u00a0<span style=\"text-decoration: underline;\"><em>has not shown any tendency to change over time<\/em><\/span>! \u00a0 People imagine that &#8216;efficiency&#8217; changes the coupling, but even with growing efficiency\u00a0the ratio\u00a0has actually quite constant. You&#8217;d need\u00a0global efficiency in energy use to double every ~20 years like GDP generally has to really make a difference, so having\u00a0growing value in a steady GDP is far more possible.<\/p>\n<p style=\"padding-left: 30px;\">Of course, like e=mc^2, it&#8217;s not possible to tell quite where the natural constant observed comes from. \u00a0That&#8217;s a big part of the scientific interest. \u00a0 Natural constants are emergent properties of the system, seemingly here a natural rate of societal innovation and\u00a0adaptation, like a &#8220;natural learning speed&#8221;. \u00a0 The benefit of the constant\u00a0is giving us\u00a0a better way to measure inclusive sustainability, using the\u00a0mathematical implication that:<\/p>\n<h4 style=\"padding-left: 30px; text-align: center;\"><em>&#8212; \u00a0average\u00a0shares of GDP pay for and are responsible for causing<br \/>\naverage\u00a0shares of GDP earth impacts \u00a0&#8212;<\/em><\/h4>\n<figure id=\"attachment_2640\" aria-describedby=\"caption-attachment-2640\" style=\"width: 640px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/synapse9.com\/signals\/wp-content\/uploads\/2013\/11\/EffCO2Learn_growA.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2640 size-large\" title=\"Recent history of growing GDP and Energy use Impacts\" src=\"https:\/\/synapse9.com\/signals\/wp-content\/uploads\/2013\/11\/EffCO2Learn_growA-1024x758.jpg\" alt=\"World GDP, Energy &amp; Efficiency\" width=\"640\" height=\"474\" srcset=\"https:\/\/synapse9.com\/signals\/wp-content\/uploads\/2013\/11\/EffCO2Learn_growA-1024x758.jpg 1024w, https:\/\/synapse9.com\/signals\/wp-content\/uploads\/2013\/11\/EffCO2Learn_growA-300x222.jpg 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><figcaption id=\"caption-attachment-2640\" class=\"wp-caption-text\">The world economy grows as a whole, nob acting at all like the parts&#8230;<\/figcaption><\/figure>\n<p style=\"padding-left: 30px;\">The power of this rule the direct coupling between\u00a0responsibility for shares of\u00a0<strong><em>Earth Impacts<\/em><\/strong> and shares of <em><strong>Earth GDP<\/strong><\/em>. \u00a0 \u00a0It&#8217;s a measure that combines all the impacts of\u00a0extracting energy and all the impacts caused by using energy, i.e. everything the economy does, with financial earnings from the economy. \u00a0 When the data is aggregated correctly, it allows a\u00a0complete accounting of the GDP impacts, and\u00a0&#8220;closed accounting&#8221; for shares of responsibility for them. \u00a0So that for whole supply chains, one can measure their share of\u00a0exhausting all our resources, forest and species loss, paving over productive land, etc. \u00a0\u00a0Delivering goods for an\u00a0<span style=\"text-decoration: underline;\"><em>average dollar of GDP causes an average\u00a0share of the whole\u00a0economy&#8217;s impacts<\/em><\/span>.<br \/>\n.<\/p>\n<h3>Scope 4 CO2 assessment<\/h3>\n<p style=\"padding-left: 30px;\"><em>The science for applying\u00a0this constant natural coupling of money and GDP\u00a0impacts was published in 2011 in a research paper &#8220;Systems Energy Assessment&#8221; found at the\u00a0<a href=\"http:\/\/synapse9.com\/SEA\">SEA resource site<\/a>. \u00a0More detailed research notes are in the article\u00a0<\/em><a title=\"Permalink to What\u2019s \u201cScope 4\u2033, and\u2026 Why all the tiers??\" href=\"http:\/\/synapse9.com\/signals\/2014\/02\/26\/whats-scope-4-and-why-all-the-tiers\/\" rel=\"bookmark\">What\u2019s \u201cScope 4\u2033<\/a>.\u00a0 \u00a0 The physics is sufficiently general and inclusive that the same technique can be comfortably use globally, to assign responsibility for all impacts of GDP on the earth, and have a way to &#8220;internalize all externalities&#8221; that can start and remain valid as it is incrementally improved, as in\u00a0&#8220;<a href=\"http:\/\/synapse9.com\/signals\/2014\/02\/03\/a-world-sdg\/\">A World SDG<\/a>&#8220;.<\/p>\n<figure style=\"width: 351px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/synapse9.com\/SEA\/SEA_slide2_ED2resize.jpg\" alt=\"\" width=\"351\" height=\"199\" \/><figcaption class=\"wp-caption-text\">The SEA research study pie chart, 5 time the true impact causation found compared with standard method.<\/figcaption><\/figure>\n<h4><em>\u00a0Discussion:<\/em><\/h4>\n<p style=\"padding-left: 30px;\">The real tragedy is that this bias in our business impact\u00a0metrics assigns\u00a0TOTAL responsibility for environmental impacts to the people who are paid to do them, who\u00a0would not do them unless they were requested and paid for by someone else.<\/p>\n<h4 style=\"padding-left: 30px; text-align: center;\">So then ZERO responsibility is assigned to the people choosing to request and pay for the impacts, communicating their requests for them by the transfer of money.<\/h4>\n<p style=\"padding-left: 30px;\">In criminal law, as when paying to have a crime committed, requesting and paying for it\u00a0is considered the principle direct\u00a0cause of the crime. \u00a0The person paid to\u00a0do it\u00a0may be penalized equally or not. \u00a0 \u00a0As far as physically causing economic externalities, in the court of environmental responsibility, it really should be decided the same sophisticated way.<\/p>\n<p style=\"padding-left: 30px;\">What Scope-4 accounting does, then, is start from the complete list of things a decision pays for. \u00a0 It could become a tremendously long list, with\u00a0lots of\u00a0things only known from the money spent rather than from exactly how the service was provided. \u00a0 So for those you need to do research on what default assumption to make in case in case more detailed information does not become available. \u00a0 \u00a0I&#8217;m still waiting for people to study it themselves and compare results, but I think the proof is completely convincing that absent other information the necessary default assumption is not &#8220;zero&#8221; but &#8220;average&#8221;.<\/p>\n<h4>Elementary technique:<\/h4>\n<ul>\n<li style=\"padding-left: 30px;\">If you get stuck in deciding what to count, just remember, businesses don&#8217;t pay for things except for business reasons, so you need to count *everything*.<\/li>\n<li style=\"padding-left: 30px;\">You then think about the\u00a0different categories of spending, and\u00a0what\u00a0their\u00a0&#8220;direct&#8221; (material) and &#8220;indirect&#8221; (economic demand) impacts are.<\/li>\n<li style=\"padding-left: 30px;\">The initial rough estimate rule for economic impacts is to count them at 90% of the world average per $GDP, like around\u00a07000BTU\/$.<\/li>\n<li style=\"padding-left: 30px;\">Make sure you use inflation adjusted $&#8217;s and state the\u00a0index\u00a0year.<\/li>\n<li style=\"padding-left: 30px;\">That&#8217;s easy to do, and lets you reserve your time for estimating the direct impacts,\u00a0according to the added information you can collect.<\/li>\n<\/ul>\n<p style=\"padding-left: 30px;\">So for the energy content of\u00a0purchased\u00a0fuels, for example, you&#8217;d count BOTH the direct energy content of the fuel, AND the economic energy impact of the spending, at 90% the world average. \u00a0 The reason is that the fuels come from nature, and the spending goes to people, paying them for the consumption they do to\u00a0bring you the fuel.<\/p>\n<h4 style=\"padding-left: 30px; text-align: center;\">If done correctly, the bottom line is a unique pie slice share of the world&#8217;s\u00a0impacts<br \/>\nfor delivering\u00a0your share of\u00a0GDP.<\/h4>\n<p style=\"padding-left: 30px;\">Another one to think through is how to estimate the impacts of retained earnings, used for either financial or business expansion investment. \u00a0 The economic impacts of that spending needs to be estimated with a multiplier over time&#8230; \u00a0The whole purpose is to truthfully estimate the types and scale of consequences for our economic decisions.<\/p>\n<p style=\"padding-left: 30px;\">More discussions can be found searching the journal or the web for &#8220;Scope-4&#8221; or &#8220;SEA-LCA&#8221; as interchangeable names for the same group of accounting methods.<\/p>\n<p style=\"padding-left: 30px;\">jlh 11\/8\/14<\/p>\n<p style=\"text-align: center;\">_______________<!--more--><\/p>\n<h4><\/h4>\n<h4>A letter on the subject\u00a0that might be of interest to some&#8230;<\/h4>\n<h4 style=\"padding-left: 30px;\">to the UNEP FI \/ WRI \u00a0GHG Financial\u00a0Risk Guidance working group&#8230;<\/h4>\n<p style=\"padding-left: 30px;\">&#8230;. the difference from\u00a0\u00a0I\/O LCA models<\/p>\n<p style=\"padding-left: 30px;\">The main difference is that SEA-LCA <span style=\"text-decoration: underline;\">counts in a business\u2019s own impacts<\/span> the consumption that people are paid with for the human services <span style=\"text-decoration: underline;\">that<\/span> business uses to operate, and I\/O LCA doesn\u2019t.\u00a0 \u00a0I\/O LCA counts them, but as impacts of <i><span style=\"text-decoration: underline;\">other businesses and sectors<\/span><\/i>, not of the businesses paying for the services\u2026\u00a0\u00a0 What we found letting us measure it statistically was that consumption for human services was mostly in consumer products not producer products.<\/p>\n<p style=\"padding-left: 30px;\">So SEA-LCA v.1 treats human consumption impacts as \u201cmisplaced information\u201d and corrects business impacts by just counting the impacts of the human services which that business uses in <i><span style=\"text-decoration: underline;\">its own<\/span><\/i> environmental impacts (not another\u2019s).\u00a0\u00a0 \u00a0To make that manageable we estimated human services impacts only for scale, and generally implying large adjustments in individual business energy use and financial GHG risk exposures.\u00a0 \u00a0\u00a0That was done using impact intensity factors for business costs for known or implied human services.\u00a0 \u00a0\u00a0For the SEA Wind Farm study, I roughly estimated that 90% of the energy used to deliver the consumption for human services needs would come from sectors other than those for the wind farm\u2019s producer products.<\/p>\n<p style=\"padding-left: 30px;\">I think you\u2019re helping me get to what\u2019s relevant here.\u00a0 I hope so anyway.<\/p>\n<p style=\"padding-left: 30px;\">All the very best, \u00a0\u00a0Jessie<\/p>\n<h3 style=\"padding-left: 30px;\" align=\"center\">More detail fyi\u2026.<\/h3>\n<p style=\"padding-left: 30px;\">So, I know of nothing wrong with the I\/O accounting (for measuring material exchanges between economic sectors). \u00a0The problem is the definitional exclusion of environmental impacts of human services, throughout the business value chains.\u00a0 \u00a0\u00a0\u00a0Below are a \u201cvalue tree\u201d diagram and a comparison table to help, and bring out more issues for further research.\u00a0\u00a0 In the diagram the human services are symbolized by green dots, the money from business revenues going to people, versus other businesses along the tree.<\/p>\n<table class=\" aligncenter\" style=\"padding-left: 30px;\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody style=\"padding-left: 30px;\">\n<tr style=\"padding-left: 30px;\">\n<td style=\"text-align: left; padding-left: 60px;\" valign=\"top\" width=\"600\">\u00a0<img decoding=\"async\" src=\"https:\/\/synapse9.com\/SEA\/Scope2&amp;4.gif\" alt=\"\" width=\"600\" \/><\/td>\n<\/tr>\n<tr style=\"padding-left: 30px;\">\n<td style=\"padding-left: 30px;\" valign=\"top\" width=\"600\"><b>\u00a0 \u00a0Green dots are for the people paid to operate businesses, throughout the business &#8220;value tree&#8221;<br \/>\n. \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 (in <b>I\/O accounting having no\u00a0<\/b>role in businesses except as consumers)<\/b><b><\/b><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: left; padding-left: 30px;\"><!--more-->For impact accounting you need to add up all producer inputs in an individual business value tree.\u00a0\u00a0 It seems to be the same as for cost accounting.\u00a0 \u00a0\u00a0If your cost accountant arbitrarily removes what you spend on taxes and stockholder distributions it seems to improve the balance sheet, but how you price your products might be too low. \u00a0\u00a0The value trees produced by I\/O transfers are of average transfers between sectors, not an individual business case, and locate the impacts for employee consumption in different sectors than the business, so the impacts of the individual business as a whole can\u2019t be accounted for. \u00a0\u00a0\u00a0You need an individualized business impact assessment to respond to its individual financial risk exposures. \u00a0\u00a0\u00a0As the individual tree actually has billions of different inputs, it would be uneconomic to individually account for them though.\u00a0\u00a0 So there\u2019s a trade-off between getting the scale right and getting the answer precise.<\/p>\n<p style=\"text-align: left; padding-left: 30px;\">SEA is designed to statistically fill in missing information statistically, so the end user consumption paid for by a business are shown as impacts of the business.\u00a0\u00a0 The accuracy for scale depends on whether the total of assessed impacts for components of GDP turn out to be equal to the total impacts of the economy.\u00a0 \u00a0Once a business\u2019s total assessed impacts match its share of the total for GDP, \u00a0then you can be more confident about the relative importance of the value chain parts.\u00a0 \u00a0The performance of different parts of the value chain might matter for how businesses respond to a GHG tax.<\/p>\n<p style=\"text-align: left; padding-left: 30px;\">A GHG tax could charge a fee to either by 1) businesses, 2) consumers, 3) investors or 4) fuel suppliers, or different fees for each.\u00a0\u00a0 In any case, normal financial risk to investors would come from increasing costs in every part of the value tree for their investments, raising prices for business consumers and lowering consumer demand. \u00a0\u00a0With SEA, the accounting increase for starting to count the use of human services and paying for that end user consumption as a cost of production and business impact, would be very widely distributed. \u00a0\u00a0\u00a0If the direct tax exposure for a GHG tax on business would be first for their total accumulative embedded GHG\u2019s, to be reduced by the GHG tax already paid or discounted by others in the value tree.<\/p>\n<p style=\"text-align: left; padding-left: 30px;\">How SEA statistically fills in missing environmental impacts is by assigning an intensity factor (Eii) for business costs with untraced impacts.\u00a0\u00a0 \u00a0For the SEA paper 90% of average Energy\/$GDP was used for employee and general business expense costs.\u00a0 (It was an estimate of the probable spending on consumer products drawing on I\/O sectors not included in their business sector\u2019s producer products.)\u00a0 \u00a0Why consumers might by products mostly from other sectors than they work in is simple.\u00a0 Employees of a steel plant mostly don\u2019t by steel producer products when they shop.\u00a0 They go to Walmart, \u00a0pay their mortgage, drive their cars, educate their kids\u2026 etc.<\/p>\n<p style=\"text-align: left; padding-left: 30px;\">Those are direct \u201cconsumption for production\u201d costs to the business that pays them for bringing their talent, organization skills or ownership rights to the operation of the business.\u00a0 They\u2019re also direct environmental impacts not being counted by either process or I\/O LCA methods.\u00a0\u00a0\u00a0\u00a0 The Eii = 90% is such a general guess, that\u2019s one of the first things others would need to validate by making their own estimates.\u00a0\u00a0\u00a0 Perhaps the modern I\/O models have improved, so the general estimate might be %60 rather than %90.\u00a0\u00a0 Perhaps they have data determining intensity factors for missing inputs for every sector already. \u00a0\u00a0\u00a0My assessment seem mainly definitive, though, on human services being business costs that have environmental impacts being left out of the economic analysis.\u00a0\u00a0\u00a0 What I\u2019d like the people who did the basic science for the Carnegie Mellon I\/O method, or someone recommended by them, to take on the problem as an interesting challenge and begin the research needed to make financially reliable \u201cwhole system assessment\u201d generally available.<\/p>\n<p style=\"text-align: center; padding-left: 30px;\" align=\"center\">_________<\/p>\n<p style=\"text-align: left; padding-left: 30px;\">The table may not be hugely useful, as it may take careful study and no say any more than the conceptual descriptions above, but it records the approach I took last night to comparing the outputs of the two methods<\/p>\n<div style=\"text-align: center;\" align=\"center\">\n<table style=\"padding-left: 30px;\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"785\">\n<p align=\"center\"><a href=\"http:\/\/www.eiolca.net\/\">I\/O-LCA method<\/a> by Carnegie Mellon v.\u00a0 <a href=\"http:\/\/www.synapse9.com\/pub\/SEA_EROIwind.pdf\">SEA-LCA method<\/a> by Jessie Henshaw et all.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div style=\"text-align: center;\" align=\"center\">\n<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Business cost sector<\/p>\n<\/td>\n<td colspan=\"2\" valign=\"top\" width=\"194\">\n<p align=\"center\">2002 Energy\/$ of sales *<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">note<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\"><\/td>\n<td valign=\"top\" width=\"102\">\n<p align=\"center\">SEA-LCA <b>kWH\/$<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">I\/O-LCA <b>kWH\/$<\/b><\/p>\n<\/td>\n<td valign=\"top\" width=\"442\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">World Economy<br \/>\naverage energy intensity<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\">\n<p align=\"center\">2.76 *<\/p>\n<\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">2.76 *<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">*IEA World statistics &#8211; adj. to 2002 values from 2006 values<br \/>\n[inflation &#8211; x1.12, GDP energy intensity change &#8211; x1.1]<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">\u201chuman services\u201d intensity (for operating, organizing or owning businesses<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\">\n<p align=\"center\">Est. 90% of avg.<br \/>\n2.48 **<\/p>\n<\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">(undefined)<br \/>\nAssumed 0.0<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">I\/O-LCA does not count human service impacts as business costs.<\/p>\n<p align=\"center\">SEA-LCA v.1 \u00a0&#8211;\u00a0 ** counts human services at 90% of GDP impact intensity, as if 90% of consumer impacts are in economic sectors <span style=\"text-decoration: underline;\">other than<\/span> that of the business they are employed by.<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Model Wind Farm<br \/>\n<a href=\"http:\/\/www.synapse9.com\/pub\/SEA_EROIwind.pdf\">for SEA-LCA v.1 study<\/a><\/p>\n<\/td>\n<td valign=\"top\" width=\"102\">\n<p align=\"center\">Energy<br \/>\nProduced 13.4 *<br \/>\nUsed 2.44 *<\/p>\n<\/td>\n<td valign=\"top\" width=\"92\"><\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\"><span style=\"text-decoration: underline;\">Energy supplied<\/span> &amp; <span style=\"text-decoration: underline;\">Total Energy costs<\/span>, \u00a0per $ sales<br \/>\n(energy\/$ used counting energy for human services consumption)<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Power generation and supply<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\"><\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">Energy<br \/>\nProduced 108<br \/>\nUsed 3.78<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\"><span style=\"text-decoration: underline;\">Energy supplied<\/span> &amp; I\/O-LCA <span style=\"text-decoration: underline;\">Energy costs<\/span>, \u00a0per $ sales<br \/>\n(energy\/$ used not counting energy for human services consumption)<br \/>\nenergy cost more accurate if + 2.48? **<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Non res. commercial construction<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\"><\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">8.34<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">more accurate if increased by 2.48? **<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Elementary and secondary schools<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\"><\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">1.71<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">more accurate if increased by 2.48? **<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\">\n<p style=\"padding-left: 30px;\" align=\"center\">Management consulting services<\/p>\n<\/td>\n<td valign=\"top\" width=\"102\"><\/td>\n<td valign=\"top\" width=\"92\">\n<p align=\"center\">5.54<\/p>\n<\/td>\n<td valign=\"top\" width=\"442\">\n<p align=\"center\">more accurate if increased by 2.48? **<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"149\"><\/td>\n<td valign=\"top\" width=\"102\"><\/td>\n<td valign=\"top\" width=\"92\"><\/td>\n<td valign=\"top\" width=\"442\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: left;\">JLH 4\/5\/14<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Here&#8217;s the whole problem: Scope-4 impact measures add up the total environmental inputs resulting from\u00a0business, personal, or policy choices. That&#8217;s so we can compare different choices, and make the better one. \u00a0 Sounds like what\u00a0sustainability\u00a0metrics\u00a0should do! Standard\u00a0sustainability metrics, however, collect impact information by\u00a0where\u00a0they occur, not by\u00a0what\u00a0choices cause them&#8230; So our whole metric system needs to &hellip; <a href=\"https:\/\/synapse9.com\/signals\/easy-intro-scope-4-use-interpretation\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Easy Intro, &#8220;scope 4&#8221; use &#038; interpretation<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","footnotes":""},"categories":[3,6,7,8,9,10,11,16],"tags":[],"class_list":["post-2898","post","type-post","status-publish","format-standard","hentry","category-among-best-2","category-mail","category-econn","category-theory","category-policy","category-pop","category-research","category-whattodo"],"_links":{"self":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/2898","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/comments?post=2898"}],"version-history":[{"count":20,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/2898\/revisions"}],"predecessor-version":[{"id":3337,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/posts\/2898\/revisions\/3337"}],"wp:attachment":[{"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/media?parent=2898"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/categories?post=2898"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/synapse9.com\/signals\/wp-json\/wp\/v2\/tags?post=2898"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}