Energy Research and Development Expenditures by Area of Technology
Detailed information for 2015
This survey collects in-house and outsourced research and development expenditures on energy-related technology of businesses and industrial non-profit organizations in Canada.
Data release - December 8, 2017
The Energy Research and Development Expenditures by Area of Technology survey (Energy R&D) is a cross economy survey of businesses and industrial non-profit organizations in Canada that perform or fund research and development (R&D) on energy-related technology. The survey comprises businesses and industrial non-profit organizations in all NAICS industries other than universities (NAICS 61131) and all levels of government (NAICS 91 public administration) with R&D expenditures on energy-related R&D technology.
The concepts and definitions employed in the collection and dissemination of research and development (R&D) data are provided in the Frascati Manual 2015 (Organisation for Economic Cooperation and Development (OECD), 2015). According to this definition:
"Research and experimental development (R&D) comprise creative and systematic work undertaken in order to increase the stock of knowledge -including knowledge of humankind, culture and society- and to devise new applications of available knowledge."
The Energy R&D survey collects in-house and outsourced R&D expenditures. In-house R&D expenditures are expenditures for R&D activities undertaken by the reporting company. Outsourced R&D expenditures comprise payments made to other organizations to perform R&D and may be directed to other organizations inside or outside Canada.
The energy technology groups are based on international standards developed by the International Energy Agency. The main areas of energy technologies are:
¿ Fossil fuels
¿ Renewable energy resources
¿ Nuclear fission and fusion
¿ Electric power
¿ Hydrogen and fuel cells
¿ Energy efficiency and
¿ Other energy-related technologies
Data from Energy R&D survey provide total estimates of in-house and outsourced R&D expenditures by the business sector. These data are used by the federal government energy and science policy analysts who develop and monitor programs aimed at stimulating innovation related to energy. The data are used in reporting to the International Energy Agency.
The survey is administered as part of the Integrated Business Statistics Program (IBSP). The IBSP program has been designed to integrate approximately 200 separate business surveys into a single master survey program. The survey instrument conforms to the common look, structure and content for business surveys in the integrated program.
Reference period: The fiscal year for fiscal year end date between April 1, RY and March 31, RY+1
- Research and development
- Science and technology
Data sources and methodology
The target population for the Energy R&D survey comprises all businesses and industrial non-profit organizations that perform and/or fund research and development (R&D) related to energy technology. The survey is sent to all businesses and organizations that receive the RDCI, and as such it is a cross economy survey and includes all NAICS codes except NAICS 61131 (universities) and NAICS 91 (public administration).
The Energy R&D survey is embedded within the Research and Development in Canadian Industry (RDCI: SDDS 4201) that uses two questionnaires: one for businesses and another for industrial non-profit organizations. The Energy R&D questionnaire module was developed to conform to international standards for research and development concepts (OECD, Frascati Manual 2015) and energy technology concepts developed by the International Energy Agency. Electronic questionnaires (EQ) are the principal mode of collection and these were tested with business respondents in English and French to confirm respondents' understanding of terminology, concepts and definitions as well as to determine that they were able to provide the requested data. This EQ testing occurred concurrently with the testing for the Research and Development in Canadian Industry (RDCI: SDDS 4201) survey.
This survey is a census with a cross-sectional design.
The population consists of units in the RDCI sample that self-identified as engaging in energy-related R&D. The RDCI sample contains 'must-take' units which include energy R&D companies identified using previously reported data.
The sampling unit is the company.
The survey is a module embedded within the RDCI questionnaire and is sent to the sample of 8,250 respondent companies who were selected for the RDCI (RDCI: SDDS 4201) survey.
The selected units for the Energy R&D survey is based upon compilation of companies which have reported energy-related R&D expenditures within two years prior to the reference period by questionnaire in prior cycles. Selected units for Energy R&D are made part of the "must take" portion of the RDCI sample.
The Energy R&D by area of technology survey is sent to all companies in the sample portion of the RDCI survey. Units are identified as energy R&D units based on prior reported energy-related R&D expenditures and are must-take units. They are specified based on large R&D expenditures for energy-related R&D by area of technology.
Data collection for this reference period: 2015-12-02 to 2016-03-31
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
There are no corresponding administrative data sources for this survey.
Data are collected annually using an e-mail invitation to open, complete and submit an electronic questionnaire (EQ). For those companies which are unable or do not wish to use electronic collection, a paper questionnaire was mailed with directions to complete and return within 21 days.
Starting reference year 2014, the Energy Research and Development by Area of Technology (4205) survey is being collected within the Research and Development in Canadian Industry (4201) survey's questionnaires. These surveys have historically been collected simultaneously. The integrated questionnaires are intended to facilitate response and improve data quality. Only respondents with R&D activities in the energy-related areas of technologies complete the questions on in-house energy-related R&D expenditures by sources of funds within Canada and outsourced R&D payments made within and outside Canada.
View the Questionnaire(s) and reporting guide(s).
Data editing occurs at a number of steps in the survey process: during data collection, during failed edit follow-up, and during processing.
Data collection edit: the electronic survey questionnaire (EQ) has embedded edits which activate while the respondent completes the EQ if a pre-specified likely error condition is met (example: if the sources of funds for in-house R&D do not equal total in-house R&D expenditures within +/- 5%).
The respondent receives an error message and they can either correct the data or accept their response and proceed. Failed edit follow-up edit: once the electronic questionnaire has been submitted, the same edits are applied and an error report generated. If a key edit fails the respondent will be called to correct the information or obtain an explanation.
The record is then corrected or an explanation note is added to the file to explain the information provided. Processing edit: editing in processing involves a series of pre-specified conditions which identify an error (example: components do not add to total, totals do not equal each other across questions (in-house R&D by category, provincial and territorial distribution, sources of funds, fields of R&D). All errors are flagged so that they can be corrected through an imputation process.
Non-response occurs when respondents do not completely answer the questionnaire, or when reported data are considered incorrect during the error detection steps, imputation is used to fill in the missing information and modify the incorrect information. Many methods of imputation may be used to complete a questionnaire, including manual changes made by an analyst. The automated, statistical techniques used to impute the missing data include:
- deterministic imputation (for example adding components to create a total),
- replacement using historical data (with a trend calculated, when appropriate),
- replacement based on known data relationships for the sample unit, and
replacement using data from a similar unit in the sample (known as donor imputation).
For the research and development surveys, the key question on expenditures for in-house R&D Energy is verified or imputed first and then these values are used as anchors in subsequent steps to impute other, related, variables.
Imputation generates a complete and coherent micro data file that covers all survey variables.
Estimates are generated from reported data or imputed data based on prior energy-related R&D expenditures. Each unit has a weight of one.
Prior to the data release, combined survey results are analyzed for comparability; in general, this includes a detailed review of:
- individual responses (especially for the largest companies),
- general economic conditions,
- coherence with results from related economic indicator,
- historical trends, and
- information from other external sources (e.g. associations, trade publications, newspaper articles).
The survey estimates are also analyzed with trends observed in data from previous collection cycles, media reports and comparisons of questionnaire data and administrative data for important respondents over multiple reporting periods.
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
There are two types of errors to which survey data can be subject: sampling errors and non-sampling errors. Since this survey is a census, this survey is not subject to sampling error. Non-sampling error is not related to sampling and may occur for various reasons during the collection and processing of data.
Non-sampling errors include:
- Non-response (both total and partial)
- Under or over-coverage of the population
- Differences in the interpretations of questions and mistakes in reporting
- Coding and processing errors
To the maximum extent possible, these errors are minimized through careful design of the survey questionnaire, verification of the survey data, and follow-up with respondents when needed to maximize response rates.
Imputation rates can be estimated to generate a quality rating code. The imputation rate is calculated based on the contribution of imputed values to the total estimate. The quality indicator code uses letters that ranges from A to F where A means the data are of excellent quality and estimates with a quality of F are too unreliable to be published. These quality rating codes should always be taken into consideration when using the estimates.
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