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All (58) (0 to 10 of 58 results)

  • Stats in brief: 11-627-M2024021
    Description: This infographic focuses on innovation and business strategy in Canada, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the long-term strategy for innovative businesses and non-innovative businesses, the innovation rate and intellectual property(IP) ownership for multinational businesses and non-multinational businesses, the competition, and the skill shortages in Canadian businesses.
    Release date: 2024-05-08

  • Articles and reports: 18-001-X2024002
    Description: This study examined the impact of federal business innovation and growth support (BIGS) programs on firm financial performance measured using revenue, profit and employment metrics. Using Statistics Canada’s Business Linkable File Environment data, the study observed the effects of BIGS on exporting versus non-exporting firms and Canadian- versus U.S.-owned firms from 2015 to 2020. Unlike previous studies that relied mainly on survey data, one significant aspect of this research was the use of a new dataset, enabling panel data structures and models to be employed. To assess the impact of BIGS and research and development spending on three interrelated measures of firm financial performance, the CDM (Crépon et al., 1998) framework was adopted.
    Release date: 2024-04-25

  • Stats in brief: 11-627-M2024011
    Description: This infographic examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. Data is presented by program, countries of export, industry and comparison highlights.
    Release date: 2024-03-15

  • Stats in brief: 11-627-M2021091
    Description:

    Beneficiaries and value of support of federal business innovation and growth support programs, by employment size, revenue size, industry and gender of primary owner, 2019.

    Release date: 2021-12-02

  • Stats in brief: 11-627-M2021082
    Description:

    The entrepreneurship indicator database provides data describing the dynamics of a subset of Canadian enterprises, such as the number of active enterprises with one or more employees, the number of high-growth enterprises, the number of births and deaths of active enterprises with one or more employees, the survival of newly created enterprises, and more.

    Release date: 2021-11-10

  • Classification: 12-604-X
    Description:

    The concordance table provides a link between data tables and the survey questions from the Survey of Innovation and Business Strategy (SIBS).

    Release date: 2021-07-30

  • Articles and reports: 18-001-X2021001
    Description:

    The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

    Release date: 2021-04-29

  • Articles and reports: 18-001-X2019001
    Description:

    This study is part of the movement in the literature that supposes that entrepreneurship is an important factor in economic development and growth. A company’s success or failure is largely determined by the quality of corporate decisions made by the entrepreneur. However, since business decisions are intangible, their impact on a company’s performance is difficult to measure. This analysis aims to quantify the impact of business decisions. To measure intangibles, indexes were developed to measure a company’s management practices and long-term strategic directions, much like those developed by Bloom and Van Reenen (2007) and Brouillette and Ershov (2014).

    Release date: 2019-04-02

  • Table: 63-241-X
    Description: This product provides an overview of trends in the newspaper publishing industry. It provides users with information required for making corporate decisions, monitoring programs and reviewing policies. The tables focus on financial and operating data.
    Release date: 2013-12-05

  • Articles and reports: 11F0027M2013084
    Geography: Canada
    Description:

    There is abundant evidence that many firms cluster together in space and that there is an association between clustering and productivity. This paper moves beyond identifying the broad effects of clustering and explores how different types of firms benefit from agglomeration. It advances research on agglomeration by showing, first, that not all firms gain to the same degree from co-location and, second, that businesses with different internal capabilities capture different forms of geographical externalities. The empirical analysis focuses on Canadian manufacturing establishments operating over the period from 1989 to 1999.

    Release date: 2013-02-06
Data (1)

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  • Table: 63-241-X
    Description: This product provides an overview of trends in the newspaper publishing industry. It provides users with information required for making corporate decisions, monitoring programs and reviewing policies. The tables focus on financial and operating data.
    Release date: 2013-12-05
Analysis (56)

Analysis (56) (0 to 10 of 56 results)

  • Stats in brief: 11-627-M2024021
    Description: This infographic focuses on innovation and business strategy in Canada, based on data from the 2022 Survey of Innovation and Business Strategy. It presents the long-term strategy for innovative businesses and non-innovative businesses, the innovation rate and intellectual property(IP) ownership for multinational businesses and non-multinational businesses, the competition, and the skill shortages in Canadian businesses.
    Release date: 2024-05-08

  • Articles and reports: 18-001-X2024002
    Description: This study examined the impact of federal business innovation and growth support (BIGS) programs on firm financial performance measured using revenue, profit and employment metrics. Using Statistics Canada’s Business Linkable File Environment data, the study observed the effects of BIGS on exporting versus non-exporting firms and Canadian- versus U.S.-owned firms from 2015 to 2020. Unlike previous studies that relied mainly on survey data, one significant aspect of this research was the use of a new dataset, enabling panel data structures and models to be employed. To assess the impact of BIGS and research and development spending on three interrelated measures of firm financial performance, the CDM (Crépon et al., 1998) framework was adopted.
    Release date: 2024-04-25

  • Stats in brief: 11-627-M2024011
    Description: This infographic examines Canadian exporters in 2021 that have been funded by the federal government through Business Innovation and Growth Support (BIGS) programs. Data is presented by program, countries of export, industry and comparison highlights.
    Release date: 2024-03-15

  • Stats in brief: 11-627-M2021091
    Description:

    Beneficiaries and value of support of federal business innovation and growth support programs, by employment size, revenue size, industry and gender of primary owner, 2019.

    Release date: 2021-12-02

  • Stats in brief: 11-627-M2021082
    Description:

    The entrepreneurship indicator database provides data describing the dynamics of a subset of Canadian enterprises, such as the number of active enterprises with one or more employees, the number of high-growth enterprises, the number of births and deaths of active enterprises with one or more employees, the survival of newly created enterprises, and more.

    Release date: 2021-11-10

  • Articles and reports: 18-001-X2021001
    Description:

    The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

    Release date: 2021-04-29

  • Articles and reports: 18-001-X2019001
    Description:

    This study is part of the movement in the literature that supposes that entrepreneurship is an important factor in economic development and growth. A company’s success or failure is largely determined by the quality of corporate decisions made by the entrepreneur. However, since business decisions are intangible, their impact on a company’s performance is difficult to measure. This analysis aims to quantify the impact of business decisions. To measure intangibles, indexes were developed to measure a company’s management practices and long-term strategic directions, much like those developed by Bloom and Van Reenen (2007) and Brouillette and Ershov (2014).

    Release date: 2019-04-02

  • Articles and reports: 11F0027M2013084
    Geography: Canada
    Description:

    There is abundant evidence that many firms cluster together in space and that there is an association between clustering and productivity. This paper moves beyond identifying the broad effects of clustering and explores how different types of firms benefit from agglomeration. It advances research on agglomeration by showing, first, that not all firms gain to the same degree from co-location and, second, that businesses with different internal capabilities capture different forms of geographical externalities. The empirical analysis focuses on Canadian manufacturing establishments operating over the period from 1989 to 1999.

    Release date: 2013-02-06

  • Articles and reports: 11-626-X2012021
    Geography: Canada
    Description:

    This article in the Economic Insights series reports on the size distribution of Canadian firms compiled for the research paper Small, Medium-sized, and Large Businesses in the Canadian Economy: Measuring Their Contribution to Gross Domestic Product from 2001 to 2008. The creation of estimates of gross domestic product by firm size is part of a program at Statistics Canada that examines the structure of the Canadian economy and its evolution.

    Release date: 2012-12-07

  • Articles and reports: 11-622-M2012025
    Geography: Canada
    Description:

    This paper examines whether Canadian firms of different sizes (in terms of employment) grow at different rates year-on-year. The data are from Statistics Canada's Longitudinal Employment Analysis Program and cover the 1999-to-2008 period. The methodology is similar to that used by Haltiwanger, Jarmin and Miranda (2010) for the United States: controls are used for firm age, and possible bias from short-term regression to the mean is removed by sizing firms according to their average number of employees in both previous and current years.

    Release date: 2012-07-05
Reference (1)

Reference (1) ((1 result))

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