sources: 17582

{
    "link": "https://unstats.un.org/sdgs/indicators/database/",
    "retrievedDate": "15-November-19",
    "additionalInfo": "Last updated: March 2019 \n\n \n \nGoal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster \ninnovation \nTarget 9.2: Promote inclusive and sustainable industrialization and, by 2030, significantly raise industry's \nshare of employment and gross domestic product, in line with national circumstances, and double its \nshare in least developed countries \nIndicator 9.2.1: Manufacturing value added as a proportion of GDP and per capita \n \nInstitutional information \n\n \nOrganization(s): \nUnited Nations Industrial Development Organization (UNIDO) \n \nConcepts and definitions \n\n \nDefinition: \nManufacturing  value  added  (MVA)  as  a  proportion of  gross  domestic  product  (GDP)  is  a  ratio  between \nMVA and GDP, both reported in constant 2010 USD. \n \nMVA per capita is calculated by dividing MVA in constant 2010 USD by population of a country or area. \n \nRationale: \nMVA is a well-recognized and widely used indicator by researchers and policy makers to assess the level \nof  industrialization  of  a  country.  The  share  of  MVA  in  GDP  reflects  the  role  of  manufacturing  in  the \neconomy  and  a  country\u2019s  national  development  in  general.  MVA  per  capita  is  the  basic  indicator  of  a \ncountry\u2019s  level  of  industrialization  adjusted  for  the  size  of  the  economy.  One  of  the  statistical  uses  of \nMVA per capita is classifying country groups according to the stage of industrial development. \n \nConcepts: \nThe gross value added measures the contribution to the economy of each individual producer, industry or \nsector in a country. The gross value added generated by any unit engaged in production activity can be \ncalculated  as  the  residual  of  the  units\u2019  total  output  less  intermediate  consumption,  goods  and  services \nused up in the process of producing the output, or as the sum of the factor incomes generated by the \nproduction process (System of National Accounts 2008). Manufacturing refers to industries belonging to \nthe  sector  C  defined  by  International  Standard  Industrial  Classification  of  All  Economic  Activities  (ISIC) \nRevision 4, or D defined by ISIC Revision 3. \n \nGDP represents the sum of gross value added from all institutional units resident in the economy. For the \npurpose  on  comparability  over  time  and  across  countries  MVA  and  GDP  are  estimated  in  terms  of \nconstant prices in USD. The current series are given at constant prices of 2010. \n \nComments and limitations: \nDifferences may appear due to different versions of System of National Accounts (SNA) or ISIC revisions \nused by countries. \n \n\n \n\n\fLast updated: March 2019 \n\n \n \nMethodology \n\n \nComputation Method: \nMVA proportion to GDP = MVA/GDP*100. \nMVA per capita = MVA/population \n \nDisaggregation: \nNo disaggregation available. \n \nTreatment of missing values: \n\n\u2022  At country level \n\nBoudt, Todorov, Upadhyaya (2009): Nowcasting manufacturing value added for cross-country \ncomparison; Statistical Journal of IAOS \n \n\n\u2022  At regional and global levels \n\nNo imputation used. \n\n \nRegional aggregates: \nRegional, global aggregation of direct summation of country values within the country groups. \n \nSources of discrepancies: \nMinor differences may arise due to 1) exchange rates for conversion to USD 2) different base years used \nfor constant price data 3) methods for recent period estimation and 4) different versions of SNA and ISIC \nrevisions used by countries. \n \nMethods and guidance available to countries for the compilation of the data at the national level: \nInternational Recommendations for Industrial Statistics (IRIS) 2008 \nhttps://unstats.un.org/unsd/publication/seriesM/seriesm_90e.pdf \n \nSystem of National Accounts (SNA) 2008 \nhttps://unstats.un.org/unsd/publication/seriesf/SeriesF_2Rev5e.pdf \n \nInternational Standard Industrial Classification of All Economic Activities (ISIC)  \nhttps://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=27 \n \nQuality assurance \nUNIDO (2009), UNIDO Data Quality: A quality assurance framework for UNIDO statistical activities \nhttps://open.unido.org/api/documents/4814740/download/UNIDO-Publication-2009-4814740  \n \nData Sources \n\n \nDescription: \nUNIDO maintains MVA database. Figures for updates are obtained from national account estimates \nproduced by UN Statistics Division (UNSD) and from official publications. \n \nCollection process: \n\n \n\n\fLast updated: March 2019 \n\n \n \nThe MVA and GDP country data are collected through a national accounts questionnaire (NAQ) sent by \nUNSD. More information on the methodology is available on \nhttps://unstats.un.org/unsd/snaama/methodology.pdf. \n \nMissing  or  inconsistent  values  are  verified  with  national  sources  and  World  Development  Indicators \n(WDI). The preference is given to the data from national sources. \n \nPopulation data are obtained from UN DESA Population Division. More information on the methodology \nis available on \nhttps://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf. \n \nData Availability \n\n \nDescription: \nFor more than 200 economies \n \nTime series: \nData for this indicator are available as of 2000 in the UN Global SDG Database, but longer time series are \navailable in the UNIDO MVA database. \n \nCalendar \n\n \nData collection: \nData collection is carried out by receiving data electronically throughout the year. \n \nData release: \nUNIDO MVA database is updated between March and April every year. \n \nData providers \n\n \nUnited Nations Statistics Division (UNSD) and official publications \n \nUNSD from national statistical offices (NSOs) \n \nData compilers \n\n \nUnited Nations Industrial Development Organization (UNIDO) \n \nReferences \n\n \nURL: \n\n \n\n\fLast updated: March 2019 \n\n \n \n \nwww.unido.org/statistics \nhttps://unstats.un.org/unsd/snaama/methodology.pdf \nhttps://esa.un.org/unpd/wpp/Publications/Files/WPP2015_Methodology.pdf \n \nReferences: \n \nInternational Yearbook of Industrial Statistics; UNIDO \nInternational Standard Industrial Classification of All Economic Activities 2008 \nSystem of National Accounts 2008 \n\n \n\n\f",
    "dataPublishedBy": "United Nations Statistics Division",
    "dataPublisherSource": null
}