Statistics by subject – Energy

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  • Articles and reports: 11-631-X2017004
    Description:

    Energy's run as the largest contributor to Canadian export earnings ended in 2015, as the world grappled with an over-supply of oil. This presentation looks at Statistics Canada data to help provide insight into related price movements, the gasoline value chain and the subsequent economic fallout.

    Release date: 2017-10-19

  • Journals and periodicals: 57-003-X
    Description:

    This publication presents energy balance sheets in natural units and heat equivalents in primary and secondary forms, by province. Each balance sheet shows data on production, trade, interprovincial movements, conversion and consumption by sector. Analytical tables and details on non-energy products are also included. It includes explanatory notes, a historical energy summary table and data analysis. The publication also presents data on natural gas liquids, electricity generated from fossil fuels, solid wood waste and spent pulping liquor.

    Release date: 2017-03-13

  • Articles and reports: 16-002-X201600214629
    Description:

    This study examines selected energy-related production, distribution, accidents and GHG emissions data over a ten year period (2005 to 2014).

    Release date: 2016-07-12

  • Articles and reports: 11F0019M2015372
    Description:

    This paper presents a growth accounting framework in which subsoil mineral and energy resources are recognized as natural capital input into the production process. It is the first study of its kind in Canada. Firstly, the income attributable to subsoil resources, or resource rent, is estimated as a surplus value after all extraction costs and normal returns on produced capital have been accounted for. The value of a resource reserve is then estimated as the present value of the future resource rents generated from the efficient extraction of the reserve. Lastly, with extraction as the observed service flows of natural capital, multifactor productivity (MFP) growth and the other sources of economic growth can be reassessed by updating the income shares of all inputs, and then, by estimating the contribution to growth coming from changes in the value of natural capital input. This framework is then applied to the Canadian oil and gas extraction sector.

    Release date: 2015-12-14

  • Articles and reports: 11F0027M2015096
    Description:

    This analysis examines provincial income convergence in Canada from 1926 to 2011 using National Accounts-based estimates of per capita household disposable income. Household disposable income is the income available for consumption and saving, and is, therefore, closely aligned with material well-being.

    Convergence is a long-run tendency for income levels between economies to become more similar. In its most literal sense, convergence implies that all provincial per capita disposable incomes across Canada will eventually reach the same level. Less exacting forms of convergence allow for differences in per capita income levels due to structural differences across provinces. Factors such as resource endowments, urbanization, human capital, and industry structure are believed to be sources of such differences.

    Release date: 2015-02-12

  • Articles and reports: 16-002-X201400111907
    Description:

    This study looks at uptake and disposal of compact fluorescent lights by Canadian households using data from the Households and the Environment Survey.

    Release date: 2014-03-19

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  • Index and guides: 57-602-G
    Description:

    The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

    The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

    Release date: 2016-02-19

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