2026-06-25T10:24:13Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 6698 Capital Stock Dataset, 1979-2005: Secure Access 669810.5255/UKDA-SN-6698-1 Office for National Statistics <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. Office for National Statistics UK Data Service 04 August 2011 INDUSTRIESEMPLOYEESASSETSMACHINESBUILDINGSVEHICLESBUSINESSESBUSINESS ECONOMICSBUSINESS RECORDS Economic conditions and indicators Abstract copyright UK Data Service and data collection copyright owner.The Capital Stock Dataset is constructed by staff at the Virtual Microdata Laboratory (VML) based at the Office for National Statistics. The data are derived variables from the Annual Respondents Database (ARD) held under UK Data Archive SN 6644, and the Volume of Index of Capital Services (VICS). Industry investment data and the ARD’s capital expenditure figures are used to create an estimate of capital stock for each business in each year. ***IMPORTANT INFORMATION*** Users should take careful note that these data are derived, and are not responses from surveys. Caution should be exercised when using these data for analysis. Users are advised to read the available documentation before deciding whether to use the file as it stands or to adjust it using the options outlined in the documentation. ******************************** The capital stock estimates are calculated using the Perpetual Inventory Method. Separate depreciation rates are used for different asset types (plant and machinery, vehicles, and buildings, etc), industrial sectors and years. Capital stock is reported for each asset type and as an aggregate across all asset types. All years and industrial sectors are aggregated into one file. The dataset can be tailored by the user for their own purposes using the Stata syntax (.do) files that created the dataset. The ONS has designed the syntax to be very flexible so that users can easily create their own capital stock estimates by selecting from a range of key variables and methods. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research. Main Topics: The dataset includes the following variables for each business and year:<ul><li>Standard Industrial Classification code</li><li>employment</li><li>purchases</li><li>net capital expenditure and capital stock for:<ul><li>plant and machinery</li><li>buildings</li><li>vehicles</li><li>all assets combined</ul></li></ul></li> Great Britain Institutions/organisationsNational Businesses in Great Britain registered for VAT and/or PAYE in 1979-2005. Numeric Repeated cross-sectional studyAnnual One-stage stratified or systematic random sample Compilation or synthesis of existing materialCompiled by ONS from Annual Respondents Database The Data Collection is available to users registered with the UK Data Service.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Registered users must apply for access via a DEA Research Project Application.Registered users must complete the Safe Researcher Training course and gain <a href="https://uksa.statisticsauthority.gov.uk/digitaleconomyact-research-statistics/better-useofdata-for-research-information-for-researchers/" target="_blank">DEA Accredited Researcher Status</a>.Registered users must be based in the UK when accessing data.The Data Collection must be accessed via a secure connection method in a safe environment approved by the UK Data Service. See <restrctn> Manderson, E.J. and Kneller, R. (2020) 'Energy endowments and the location of manufacturing firms', Journal of Environmental Economics and Management, 101, 102301. doi:10.1016/j.jeem.2020.102301 https://doi.org/10.1016/j.jeem.2020.102301 https://oai.ukdataservice.ac.uk:8443/oai/provider 6698 2024-11-28T07:28:54Z ddi:codebook:2_5