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- Canadian Survey on Business Conditions (9)
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Results
All (106)
All (106) (40 to 50 of 106 results)
- Stats in brief: 45-28-0001202000100060Description:
This article examines the expected changes in spending habits of Canadians after stores and businesses start re-opening and how these changes are associated with various demographic characteristics. It uses data from the third iteration (June 15, 2020 to June 21, 2020) of Statistics Canada's new Canadian Perspectives Survey Series (CPSS).
Release date: 2020-07-22 - 42. Impact of COVID-19 on Businesses in Canada ArchivedStats in brief: 11-627-M2020052Description:
This infographic presents the impact of COVID-19 on businesses in Canada and their recovery needs. Specifically, the infographic presents information on teleworking (before, during and after the pandemic), personal protective measures businesses plan to implement, personal protective equipment and supply needs, and actions businesses have taken to help themselves through the pandemic. Results are from the Canadian Survey on Business Conditions.
Release date: 2020-07-17 - Articles and reports: 18-001-X2019002Description:
This study provides a broad understanding of the business environments in Indigenous communities - First Nations and Inuit - across Canada. These communities are typically located in rural low density or remote areas. The analysis profiles businesses located in Indigenous communities and compares them with businesses located in Non-Indigenous communities with similar population size parameters; hence, this analysis uses a geographic concept (i.e., the type of community) to connect the business dimension with the Indigenous dimension, as opposed to businesses whose ownership identifies as indigenous.
The profile is based on a set of straightforward business indicators, including business counts, entry and exit, age, revenue and profit indicators, which are tabulated by various classes of businesses defined for the study (industry groupings, employment size, revenue size, etc.). Some tables also feature province and territory geography. All business data are from Statistics Canada's Business Register (BR) January 2017 reference period. The 2011 Census geography is used as the January 2017 BR is based on that classification. The tables are presented by type of community. The results highlight both differences and similarities between the business environments of Indigenous communities and included Non-Indigenous communities.
Release date: 2019-08-28 - Articles and reports: 18-001-X2019001Description:
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 - 45. How innovative are Canadian enterprises? ArchivedStats in brief: 11-627-M2018034Description:
This infographic presents results from the Survey of Innovation and Business Strategy relating to the innovation rates of Canadian enterprises between 2015 and 2017. The innovation rates were measured for product, process, organizational and marketing innovation. Results are presented by region, economic activity and enterprise size.
Release date: 2018-10-30 - Articles and reports: 11-633-X2016004Description:
Understanding the importance of the dynamic entry process in the Canadian economy involves measuring the amount and size of firm entry. The paper presents estimates of the importance of firm entry in Canada. It uses the database underlying the Longitudinal Employment Analysis Program (LEAP), which has produced measures of firm entry and exit since 1988. This paper discusses the methodology used to estimate entry and exit, the issues that had to be resolved and the reasons for choosing the particular solutions that were adopted. It then presents measures that are derived from LEAP. Finally, it analyzes the sensitivity of the estimates associated with LEAP to alternative methods of estimating entry and exit.
Release date: 2016-11-10 - Articles and reports: 11F0019M2016378Description:
In spite of the role that employers may play in the selection of economic immigrants, little is known about whether and how firm-level characteristics are associated with immigrants’ labour market outcomes over the longer term. As a first step towards providing relevant evidence, this study asks whether there are large gaps between the initial earnings of immigrants starting with low- or high-paying firms, and whether the initial earnings gaps narrow with increasing length of residence in Canada. It further examines whether earnings returns to human capital among immigrants are larger if they start working in high-paying firms than in low-paying firms. This paper uses data from the Canadian Employer-Employee Dynamics Database (CEEDD) developed by Statistics Canada.
Release date: 2016-06-01 - 48. Empirical Evidence from Canadian Firm-level Data on the Relationship Between Trade and Productivity Performance ArchivedArticles and reports: 11F0027M2015097Description:
Canada’s aggregate productivity performance has closely tracked changes in Canada’s trading environment. To gain a better understanding of the link, the Economic Analysis Division of Statistics Canada has conducted a set of studies that investigate whether and how changes in the trading environment, brought about by trade liberalization policies and exchange-rate movements, contributed to productivity growth. The firm-level analysis provides insights into the productivity dynamics that arise from within-industry growth and restructuring as resources are shifted from declining to growing industries. The paper provides an overview of the key Canadian empirical findings over the last two decades.
Release date: 2015-06-16 - Stats in brief: 11-627-M2014001Description:
This infographic describes some results for the Digital Technology and Internet Use survey of 2013. It measures the use and adoption of various digital technologies, including the Internet. The survey focuses on the use of information and communications technologies, including personal computers, mobile devices, and the Internet, using a sample of Canadian enterprises in the private sector. The survey also provides indicators of e-commerce and website use.
Release date: 2014-11-19 - Articles and reports: 11-626-X2014038Description:
This article in the Economic Insights series describes the results of a data linkage project that created experimental long-term estimates of firm entry and exit rates for the Canadian business sector. It is part of a series of papers that examines firm dynamics using micro-economic data.
Release date: 2014-08-25
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Data (7)
Data (7) ((7 results))
- Data Visualization: 71-607-X2024022Description: This interactive dashboard presents key financial data for individual municipalities and other local public administrations.Release date: 2024-07-26
- Data Visualization: 71-607-X2024008Description: This dashboard is designed for users to explore current and historical counts of employer and non-employer businesses by geography, employment size and industry. This web-based application undergoes semi-annual updates.Release date: 2024-05-30
- Data Visualization: 71-607-X2024009Description: This dashboard features data from the Canadian Survey on Business Conditions. It is designed for users to explore the obstacles, expectations, and future outlook of businesses in rural and small town areas. This web-based application undergoes quarterly updates.Release date: 2024-05-30
- Data Visualization: 71-607-X2024001Description: This dashboard shows the selected data from the Rural Canada Business Profile (RCBP) database that is produced based on the business tax returns filed with the Canada Revenue Agency. A reference year for the RCBP database runs from January 1 to December 31. The main variables in this RCBP dashboard are business counts, revenue, expenses, and balance sheets items. Data are organized by geography, by location, by industry code, and by industry incorporation status. The RCBP database defines rural and small town (RST) areas as communities outside census metropolitan areas and census agglomerations.Release date: 2024-01-16
- Table: 21-26-0003Description: The Open Database of Businesses contains the names, addresses and locations of businesses. It also includes information on the type of business and legal nature of business, when supplied by the data providers. This database is compiled from both open and publicly available data sources and is made available under the Open Government License - Canada.Release date: 2023-11-28
- Data Visualization: 71-607-X2022004Description:
This interactive dashboard presents key financial, economic and socio-economic data for individual municipalities and other local public administrations.
Release date: 2022-07-26 - Data Visualization: 71-607-X2021020Description: This interactive dashboard allows users to explore main data released from the Survey of Innovation and Business Strategy (SIBS) for the reference periods 2015-2017 (SIBS 2017) and 2017-2019 (SIBS 2019). Data for SIBS 2019 were released mainly in three waves in 2021: April 26 (innovation), June 9 (structure and business strategies) and July 27 (global value chain ). The SIBS 2019 is a joint initiative of Statistics Canada; Innovation, Science and Economic Development Canada; Global Affairs Canada; the Bank of Canada; the Atlantic Canada Opportunities Agency; the Institut de la statistique du Québec ; and the Ontario Ministry of Economic Development, Job Creation and Trade. SIBS is the primary source of business innovation data for the Canadian economy. Between the release of the 2017 SIBS and 2019 SIBS results, the definition of what constitutes innovation changed slightly in the 4th edition of the Oslo Manual Data for the 2015-to-2017 and 2017-to-2019 reference periods are available by sector, according to the North American Industry Classification System; by enterprise size; and by economic region, according to the Standard Geographical Classification.Release date: 2021-07-27
Analysis (98)
Analysis (98) (80 to 90 of 98 results)
- 81. Statistics Canada collection business architecture: Overview of the approach, lessons learned and future plans ArchivedArticles and reports: 11-522-X200800010939Description:
A year ago, Communications and Operations field initiated what is considered as Statistics Canada's first business architecture activity. This concerted effort was focused on collection related activities and processes, and was conducted over a short period during which over sixty STC senior and middle managers were consulted.
We will introduce the discipline of business architecture, an approach based on "business blueprints" to interface between enterprise needs and its enabling solutions. We will describe the specific approach used to conduct Statistics Canada Collection Business Architecture, summarize the key lessons learned from this initiative, and provide an update on where we are and where we are heading.
We will conclude by illustrating how this approach can serve as the genesis and foundation for an overall Statistics Canada business architecture.
Release date: 2009-12-03 - 82. The Dutch Taxonomy Project in a statistical context ArchivedArticles and reports: 11-522-X200800010967Description:
In this paper the background of the eXtensible Business Reporting Language and the involvement of Statistics Netherlands in the Dutch Taxonomy Project are discussed. The discussion predominantly focuses on the statistical context of using XBRL and the Dutch Taxonomy for expressing data terms to companies.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010983Description:
The US Census Bureau conducts monthly, quarterly, and annual surveys of the American economy and a census every 5 years. These programs require significant business effort. New technologies, new forms of organization, and scarce resources affect the ability of businesses to respond. Changes also affect what businesses expect from the Census Bureau, the Census Bureau's internal systems, and the way businesses interact with the Census Bureau.
For several years, the Census Bureau has provided a special relationship to help large companies prepare for the census. We also have worked toward company-centric communication across all programs. A relationship model has emerged that focuses on infrastructure and business practices, and allows the Census Bureau to be more responsive.
This paper focuses on the Census Bureau's company-centric communications and systems. We describe important initiatives and challenges, and we review their impact on Census Bureau practices and respondent behavior.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010984Description:
The Enterprise Portfolio Manager (EPM) Program at Statistics Canada demonstrated the value of employing a "holistic" approach to managing the relationships we have with our largest and most complex business respondents.
Understanding that different types of respondents should receive different levels of intervention and having learnt the value of employing an "enterprise-centric" approach to managing relationships with important, complex data providers, STC has embraced a response management strategy that divides its business population into four tiers based on size, complexity and importance to survey estimates. Thus segmented, different response management approaches have been developed appropriate to the relative contribution of the segment. This allows STC to target resources to the areas where it stands to achieve the greatest return on investment. Tier I and Tier II have been defined as critical to survey estimates.
Tier I represent the largest, most complex businesses in Canada and is managed through the Enterprise Portfolio Management Program.
Tier II represents businesses that are smaller or less complex than Tier I but still significant in developing accurate measures of the activities of individual industries.
Tier III includes more medium-sized businesses, those that form the bulk of survey samples.
Tier IV represents the smallest businesses which are excluded from collection; for these STC relies entirely on tax information.
The presentation will outline:It works! Results and metrics from the programs that have operationalized the Holistic Response Management strategy.Developing a less subjective, methodological approach to segment the business survey population for HRM. The project team's work to capture the complexity factors intrinsically used by experienced staff to rank respondents. What our so called "problem" respondents have told us about the issues underlying non-response.
Release date: 2009-12-03 - 85. Achieving data coherence for complex enterprises ArchivedArticles and reports: 11-522-X200800010985Description:
In Canada, although complex businesses represent less than 1% of the total number of businesses, they contribute more than 45% of the total revenue. Statistics Canada recognized that the quality of the data collected from them is of great importance and has adopted several initiatives to improve the quality. One of the initiatives is the evaluation of the coherence of the data collected from large, complex enterprises. The findings of these recent coherence analyses have been instrumental in identifying areas for improvement. These, once addressed and improved, would be increasing the quality of the data collected from the large, complex enterprises while reducing the response burden imposed on them.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010987Description:
Over the last few years, there have been large progress in the web data collection area. Today, many statistical offices offer a web alternative in many different types of surveys. It is widely believed that web data collection may raise data quality while lowering data collection costs. Experience has shown that, offered web as a second alternative to paper questionnaires; enterprises have been slow to embrace the web alternative. On the other hand, experiments have also shown that by promoting web over paper, it is possible to raise the web take up rates. However, there are still few studies on what happens when the contact strategy is changed radically and the web option is the only option given in a complex enterprise survey. In 2008, Statistics Sweden took the step of using more or less a web-only strategy in the survey of industrial production (PRODCOM). The web questionnaire was developed in the generalised tool for web surveys used by Statistics Sweden. The paper presents the web solution and some experiences from the 2008 PRODCOM survey, including process data on response rates and error ratios as well as the results of a cognitive follow-up of the survey. Some important lessons learned are also presented.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011004Description:
The issue of reducing the response burden is not new. Statistics Sweden works in different ways to reduce response burden and to decrease the administrative costs of data collection from enterprises and organizations. According to legislation Statistics Sweden must reduce response burden for the business community. Therefore, this work is a priority. There is a fixed level decided by the Government to decrease the administrative costs of enterprises by twenty-five percent until year 2010. This goal is valid also for data collection for statistical purposes. The goal concerns surveys with response compulsory legislation. In addition to these surveys there are many more surveys and a need to measure and reduce the burden from these surveys as well. In order to help measure, analyze and reduce the burden, Statistics Sweden has developed the Register of Data providers concerning enterprises and organization (ULR). The purpose of the register is twofold, to measure and analyze the burden on an aggregated level and to be able to give information to each individual enterprise which surveys they are participating in.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800011014Description:
In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.
Release date: 2009-12-03 - Articles and reports: 88F0006X2009004Description:
This paper provides an analysis of technological change within the Canadian economy based on data from the 2006 Survey of Electronic Commerce and Technology where firms indicated how they introduced significantly improved technologies. The paper explores differences in the use of methods of introduction of significantly improved technologies by firm/organization size and by industry in both the private and public sectors.
The paper begins with a brief presentation of previous work carried out on technology introduction. The methodology is described. A description of concepts used in the analysis will follow. Analytic results examining technological change in the private sector overall, by industry and by size, and the public sector overall, by industry and by size are presented. A comparison of technological change in the private and public sectors follows. The paper concludes with a discussion of analytic results and further analytic work that could be undertaken.
Release date: 2009-11-19 - Articles and reports: 11-621-M2009082Geography: CanadaDescription:
Using data from Quarterly Financial Statistics (QFS) for Enterprises and National Balance Sheet Accounts (NBSA), this article examines the indebtedness and liquidity position of Canadian non-financial corporations from 1961 to 2009. Recent trends in these two financial indicators are also presented by industry.
Release date: 2009-11-17
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Reference (1)
Reference (1) ((1 result))
- Classification: 68-516-XDescription: This product presents the Public Sector Universe, defined by Statistics Canada as a list of institutional units that are included in the economic measurement of governments in Canada. An institutional unit is defined as an economic entity that is capable, in its own right, of owning assets, incurring liabilities, and engaging in economic activities and in transactions with other entities. It includes the sectors of education, health, general government and government business enterprise sectors for all levels of government in Canada, annually, since 2008.Release date: 2023-11-22
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