[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-108528-en":3,"doc-seo-108528-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},108528,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","ARGENTINA - Background Note 1","Background Note 1 examines key drivers and relationships behind Argentina’s greenhouse gas (GHG) emissions. It replicates the 2018 GHG inventory using a limited set of activity variables and corresponding IPCC 2006 emission factors, showing that the selected indicators can approximate about 80% of emissions with high precision. It also analyzes decoupling between GHG emissions and GDP, defines decoupling through an emissions-to-economic activity elasticity, and discusses multiple decoupling cases and trade-offs over time.","| Authorized |  |  |\n| --- | --- | --- |\n| ic Disclosure\u003Cbr> |  |  |\n| Pub l |  |  |\n| sure Authorized\u003Cbr>\u003Cbr> |  |  |\n| Pub l ic Disclo\u003Cbr> |  |  |\n| thorized\u003Cbr> BACKGROUND NOTE 1. |  |  |\n| Disc losure Au\u003Cbr> ARGENTINA |  |  |\n| Public\u003Cbr>\u003Cbr> |  |  |\n| Authorized\u003Cbr> |  |  |\n| b l ic Disclosure\u003Cbr>\u003Cbr> |  |  |\n| Pu\u003Cbr> |  |  |\n|  |  |  |\n| \u003Cbr>November 3, 2022 |  |  |\n\nTable of Contents  \nBackground Note 1.A. Replica of Argentina 2018 GHG inventory using few variables ......2  \nBackground Note 1.B. Decoupling between GHG emissions and GDP in Argentina ..........5  \nBackground Note 1.C. Decomposition of GHG emissions...................................................7  \nBackground Note 1.D. Geographical distribution of Argentina GHG emissions..................8  \nBackground Note 1.A. Replica of Argentina 2018 GHG inventory using few variables  \nPrepared by Mariana Conte Grand  \nAs stated in the text, the Argentina BUR 3 and NIR 1 perform an approximation of emissions with activity data and emission factors that can explain approximately 80% of Argentina’s GHG emissions.  \nMore concretely, they do the following calculation:  \n􀜩􀜪􀜩􀯧 = ∑9􀯝=1 􀜣 􀯧,􀯞 ∙ 􀜧􀜨􀯞 (1)  \nWhere 􀜣􀯧,􀯞 are generic activity levels related to: Natural Gas Consumption (in million m3); Oil Used (in thousand m3); Natural Gas Production (in million m3); Oil Production (in thousand m3); Cement Production (in tons of clinker); Number of Cows for Meat Production (Cows); Number of Cows for Milk Production (Cows); Deforestation area (in hectares); Population (inhabitants) . Then , 􀜧􀜨􀯞 are emission factors coming from sources as the IPCC 2006.  \nTable 1. depicts the activity levels and Table 2 reports the emission factors. Figure 1 shows that 80% of Argentina’s emissions can be approximated with great precision using the 9 indicators with their corresponding emission factors.  \nIn summary, as stated in the text, this calculation helps to understand what lies behind most of Argentina’s emissions since it shows that the cubic meters of oil and gas burned, the number of cows used for meat production and the hectares of deforestation are the key indicators to focus on to reduce Argentina’s emissions. Those three components account for 63%, 14% and 14% of explained emissions, respectively.  \nTable 1. Activity levels  \nSource: Information from Table 750 in NIR 2020  \nTable 2. Emission factors for the cross-check calculation  \nSource: Information from Tables 749 and 751 in NIR 1  \nNotes: The coefficient in red is wrongly reported in NIR 1 as 0.722. However, from reference in Table 749, 0.28 is correct. The relationship between cement and clinker varies linearly from 100% to 75%.  \nFigure 1. Approximation of most Argentina’s GHG emissions  \nSource: Own elaboration based on NIR 1  \nNote: The legends correspond to applying the formulas above (GHG Estimated Partial), the data in the complete detailed inventory for the 9 sources (GHG Partial) and total GHG emissions from all sources (GHG Full).  \nBackground Note 1.B. Decoupling between GHG emissions and GDP in Argentina  \nPrepared by Mariana Conte Grand  \nAs stated above, there has been a weak decoupling of GHG from the evolution of the economy in the whole period (i.e. , emissions increased less than GDP, and emissions’ intensity decreased) whereas, since 2010, the Argentina’s GDP is strongly decoupling from emissions (i.e. , emissions decreased and GDP increased, while emissions’ intensity was reduced) . However, if taking decoupling year by year the result is quite unstable.  \nThere are several definitions of decoupling, but together with its “word” definition, decoupling began tobe measured by quantitative indicators. To date, one of them is most employed: 􀜦􀰌 is an emissions-to  \neconomic activity elasticity: 1  \n􀜦􀰌 = 􀯘􀯚~~ ~~ (1)  \nWhere e is the rate of growth of emissions and g is the rate of growth of GDP (t would be the growth rate of emissions’ intensity, i.e. , of the share of emissions over GDP) .  \nFollowing this indicato","cbCaivUWQesPc2bO","https://ap.wps.com/l/cbCaivUWQesPc2bO","pdf",736574,6,1,9,"English","en",105,"# Background Note 1.A. Replica of Argentina 2018 GHG inventory using few variables\n# Background Note 1.B. Decoupling between GHG emissions and GDP in Argentina\n## Emissions-to-economic activity elasticity and decoupling cases","[{\"question\":\"How does the note approximate most of Argentina’s GHG emissions?\",\"answer\":\"It uses activity data for nine indicators and emission factors from IPCC 2006, applying a calculation that approximates around 80% of Argentina’s GHG emissions. The results highlight oil and gas burned, livestock-related cows, and deforestation as key drivers.\"},{\"question\":\"What is the meaning of decoupling in this background note?\",\"answer\":\"Decoupling describes how GHG emissions evolve relative to economic activity and GDP growth. The note distinguishes cases such as weak and strong decoupling, including negative weak decoupling where emissions decrease less than GDP decreases.\"},{\"question\":\"Which indicator is used to quantify decoupling?\",\"answer\":\"The note mainly uses an emissions-to-economic activity elasticity, expressed as a ratio of emissions growth to GDP growth, with intensity growth linked to emissions’ share over GDP. It then reports eight decoupling cases based on this indicator.\"}]","ARGENTINA - Background Note 1 | PDF",1784472094,23,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"argentina-background-note-1","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/argentina-background-note-1/108528/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-07-30","2026-07-19",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"How does the note approximate most of Argentina’s GHG emissions?","Question",{"text":77,"@type":78},"It uses activity data for nine indicators and emission factors from IPCC 2006, applying a calculation that approximates around 80% of Argentina’s GHG emissions. The results highlight oil and gas burned, livestock-related cows, and deforestation as key drivers.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"What is the meaning of decoupling in this background note?",{"text":82,"@type":78},"Decoupling describes how GHG emissions evolve relative to economic activity and GDP growth. The note distinguishes cases such as weak and strong decoupling, including negative weak decoupling where emissions decrease less than GDP decreases.",{"name":84,"@type":75,"acceptedAnswer":85},"Which indicator is used to quantify decoupling?",{"text":86,"@type":78},"The note mainly uses an emissions-to-economic activity elasticity, expressed as a ratio of emissions growth to GDP growth, with intensity growth linked to emissions’ share over GDP. It then reports eight decoupling cases based on this indicator.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,116,121,124,128,131,135],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":22,"doc_module":4,"doc_module_name":47,"category_name":125,"show_sort_weight":126,"slug":127},"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":47,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":47,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":47,"category_name":137,"show_sort_weight":108,"slug":138},19,"General","general"]