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This release provides data on the Research and development activities of the private non-profit sector. Although the contribution of this sector to the national R&D effort is small in dollar terms, its impact, particularly in the university sector, is significant.Questionnaires were mailed to 94 private non-profit organizations thought to be supporting Research and development activities. Twenty organizations reported performing Research and development.

The third edition of Canadian culture in perspective: a statistical overview, provides a comprehensive statistical portrait of the health and vitality of cultural activities and industries in Canada. This compendium incorporates data from all surveys in Statistics Canada's Culture Statistics Program, as well as data from other internal and external sources, enabling readers to track various themes and trends over time.

This edition contains sections on: the economic impact of the culture sector, culture activities by tourists and the international trade position of the culture sector; on social dimensions of culture, including characteristics of the cultural labour force, philanthropic behaviour, and the consumers of cultural goods and services; and on various sectors such as heritage, the performing arts and festivals, visual arts and libraries. It also explores ownership and content issues in the culture industries (publishing, film, broadcasting and music).

The international Adult Literacy Survey of 1994 is an important source of information about the literacy levels of Canadians as well as the factors that can explain the disparities between certain sub-populations. The current study shows and tries to explain some of the disparities between Francophones and Anglophones in Canada.

The higher education sector is composed of "all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments."

Gross domestic expenditures on research and development (GERD) represents total R&D expenditures performed in a country's national territory during a given year. GERD includes research and development performed within a country and funded from abroad but excludes payments sent abroad for research and development performed in other countries.

This report provides an overview of residential, business and 'other' break and enter (B & E) offences in Canada, including trends at the national, provincial and metropolitan area levels, as well as characteristics of B & E incidents, accused persons and victims. In addition the offence known as "home invasion" is also discussed. Data are examined from both the Uniform Crime Reporting (UCR) survey and the General Social Survey (GSS) on victimization. Data from both youth and adult court are examined to look at the types of sentences being given to persons convicted of B & E offences.

This paper attempts to quantify the magnitude of economic disparity among Canadian provinces. It uses the average annual earning of a province as an indicator of economic well-being for that province.

In this paper, we use census tract data to analyse changes in neighbourhood income inequality and residential economic segregation in the eight largest Canadian cities during the 1980-95 period. Is the income gap between richer and poorer neighbourhoods rising? Are high and low-income families increasingly clustered in economically homogeneous neighbourhoods? The main results are an elaboration of the spatial implications of the well documented changes that have occurred in family income and earnings inequality since 1980. We find that between neighbourhood family income (post-transfer/pre-tax) inequality rose in all cities driven by a substantial rise in neighbourhood (employment) earnings inequality. Real average earnings fell, sometimes dramatically, in low-income neighbourhoods in virtually all cities while rising moderately in higher income neighbourhoods. Strikingly, social transfers, which were the main factor stabilizing national level income inequality in the face of rising earnings inequality, had only a modest impact on changes in neighbourhood inequality. Changes in the neighbourhood distribution of earnings signal significant change in the social and economic character of many neighbourhoods. Employment was increasingly concentrated in higher income communities and unemployment in lower income neighbourhoods. Finally, we ask whether neighbourhood inequality rose primarily as a result of rising family income inequality in the city as a whole or because families were increasingly sorting themselves into "like" neighbourhoods so that neighbourhoods were becoming more economically homogeneous (economic "segregation"). We find that economic spatial segregation increased in all cities and was the major factor behind rising neighbourhood inequality in four of the eight cities. A general rise in urban family income inequality was the main factor in the remaining four cities.

Historically, female employment rates in rural areas have been significantly below the rates for women in urban areas (Bollman, 1991; Fuguitt, Brown and Beale, 1989). The objective of this paper is to explore some of the factors associated with these rural-urban differences in female employment rates.

Based on 1997 results from the Traveller Accommodation Survey, it profiles Canada's hotels and motor hotels industry. Relative measures of the industry's characteristics, performance and workforce are presented with some information specific to small, medium, and large-sized establishments. The data indicate that, for a variety of reasons, large-sized hotels and motor hotels outperform other establishments in the industry.

With this working paper, Statistics Canada is releasing 1991 Census data tabulated by a new geographic classification called "census metropolitan area and census agglomeration influenced zones", or MIZ. This classification applies to census subdivisions (municipalities) that lie outside census metropolitan areas and census agglomerations. This part of Canada covers 96% of the country's total land mass and contains 22% of its population, yet up to now we have been limited in our means of differentiating this vast area. The MIZ classification shows the influence of census metropolitan areas (CMA) and census agglomerations (CA) on surrounding census subdivisions as measured by commuting flows based on 1991 Census place of work data. This version of the MIZ classification also incorporates a preliminary version of a north concept that flags census subdivisions according to their location in the north or south of Canada.

The series of tables presented here show detailed demographic, social and economic characteristics for Canada as a whole, for the six major regions of Canada, and for individual provinces and territories. Within each table, the data are subdivided into five categories: census metropolitan area or census agglomeration, strong MIZ, moderate MIZ, weak MIZ and no MIZ. Within each of these categories, the data are further subdivided into north and south.

Readers are invited to review and use the data tables to assess whether this combined MIZ and north/south classification of non-CMA/CA areas provides sufficient detail to support data analysis and research. The intent of this MIZ classification is to reveal previously hidden data detail and thereby help users address issues related to this vast geographic area.

This is the first of three related Geography working papers (catalogue no. 92F0138MPE). The second working paper (no. 2000-2, 92F0138MPE00002) provides background information about the methodology used to delineate the MIZ classification. The third working paper (no. 2000-3, 92F0138MPE00003) describes the methodology used to define a continuous line across Canada that separates the north from the south to further differentiate the MIZ classification.

The growing trend towards a knowledge-based economy has impacted the way research is funded and performed in Canadian universities. As higher quality estimates of R&D activities by this sector are of increasing importance to policy makers, Statistics Canada has begun substantial revisions to the methods for calculating estimates for higher education R&D. The implementation of this plan will provide substantially improved estimates of both dollar values and personnel counts for this sector.

Although universities and federal government departments have unique mandates, both are striving to promote applied research. Recent surveys finally provide a basis for comparison. In 1999, universities reported over 1,800 active patents with royalties approaching $19 million. Federal governments departments had almost 2,000 patents generating $12 million in royalties.

Why do innovation surveys produce radically different estimates of the number of R&D performers than R&D surveys? The factors contributing to divergence are presented with detail on selected contributors.

Given the high cost of R&D, adopting the correct strategies and mix of products is required for success for Canadian biotechnology firms. A recent survey examined the rapid growth of 30 companies. Fast-growing enterprises adopted a strategy of patenting their products, avoiding major production delays, targeting export markets, accessing venture capital, conducting key alliances, and planning the IPO.

Technological change and innovations depend greatly on R&D activities and investments. R&D is concentrated around the "core firms" that are responsible for 87% of expenditures. Biotechnology R&D performers accounted for $904 million of R&D expenditure. Biotechnology R&D is concentrated in large firms with 75% of R&D occuring in firms with 100 or more employees. Almost 77% of funding sources for R&D in biotechnology came from the private sector and 21% from foreign sources.

In the private sector, 10.1% of enterprises use the Internet to sell goods and services. The information and cultural industries utilize this growing form of commerce the greatest (20.1%). In comparison, 14.5% of public sector institutions sell goods or services with educational services leading the way, followed by federal and provincial governments.

Location, location, location - is it important in research and technology? Statistics Canada survey data are being used to provide a new approach to analyze the usefulness of mapping key innovation indicators. By attaching survey data sets to sources with a larger sample size, detailed geographic distributions of establishments are estimated. Numerous data sets are being explored with the benefits to be realized in an interactive GIS.

Updates on expenditures and personnel.

This paper discusses methods and tools considered and used to produce cross-sectional estimates based on the combination of two longitudinal panels for the Survey of Labour and Income Dynamics (SLID).

This paper provides data from several household surveys to document how pension coverage of young and prime-aged workers has evolved in Canada between the mid-1980s and the mid-1990s.

Often, the same information is gathered almost simultaneously for several different surveys. In France, this practice is institutionalized for household surveys that have a common set of demographic variables, i.e., employment, residence and income. These variables are important co-factors for the variables of interest in each survey, and if used carefully, can reinforce the estimates derived from each survey. Techniques for calibrating uncertain data can apply naturally in this context. This involves finding the best unbiased estimator in common variables and calibrating each survey based on that estimator. The estimator thus obtained in each survey is always a linear estimator, the weightings of which can be easily explained and the variance can be obtained with no new problems, as can the variance estimate. To supplement the list of regression estimators, this technique can also be seen as a ridge-regression estimator, or as a Bayesian-regression estimator.

The U.S. Consumer Expenditure Survey uses two instruments, a diary and an in-person interview, to collect data on many categories of consumer expenditures. Consequently, it is important to use these data efficiently to estimate mean expenditures and related parameters. Three options are: (1) use only data from the diary source; (2) Use only data from the interview source; and (3) use generalized least squares, or related methods, to combine the diary and interview data. Historically, the U.S. Bureau of Labor Statistics has focused on options (1) and (2) for estimation at the five or six-digit Universal Classification Code level. Evaluation and possible implementation of option (3) depends on several factors, including possible measurement biases in the diary and interview data; the empirical magnitude of these biases, relative to the standard errors of customary mean estimators; and the degree of homogeneity of these biases across strata and periods. This paper reviews some issues related to options (1) through (3); describes a relatively simple generalized least squares method for implementation of option (3); and discussed the need for diagnostics to evaluate the feasibility and relative efficiency of the generalized least squares method.

The geographical and temporal relationship between outdoor air pollution and asthma was examined by linking together data from multiple sources. These included the administrative records of 59 general practices widely dispersed across England and Wales for half a million patients and all their consultations for asthma, supplemented by a socio-economic interview survey. Postcode enabled linkage with: (i) computed local road density; (ii) emission estimates of sulphur dioxide and nitrogen dioxides, (iii) measured/interpolated concentration of black smoke, sulphur dioxide, nitrogen dioxide and other pollutants at practice level. Parallel Poisson time series analysis took into account between-practice variations to examine daily correlations in practices close to air quality monitoring stations. Preliminary analyses show small and generally non-significant geographical associations between consultation rates and pollution markers. The methodological issues relevant to combining such data, and the interpretation of these results will be discussed.

The artificial sample was generated in two steps. The first step, based on a master panel, was a Multiple Correspondence Analysis (MCA) carried out on basic variables. Then, "dummy" individuals were generated randomly using the distribution of each "significant" factor in the analysis. Finally, for each individual, a value was generated for each basic variable most closely linked to one of the previous factors. This method ensured that sets of variables were drawn independently. The second step consisted in grafting some other data bases, based on certain property requirements. A variable was generated to be added on the basis of its estimated distribution, using a generalized linear model for common variables and those already added. The same procedure was then used to graft the other samples. This method was applied to the generation of an artificial sample taken from two surveys. The artificial sample that was generated was validated using sample comparison testing. The results were positive, demonstrating the feasibility of this method.

Electricity rates that vary by time-of-day have the potential to significantly increase economic efficiency in the energy market. A number of utilities have undertaken economic studies of time-of-use rates schemes for their residential customers. This paper uses meta-analysis to examine the impact of time-of-use rates on electricity demand pooling the results of thirty-eight separate programs. There are four key findings. First, very large peak to off-peak price ratios are needed to significantly affect peak demand. Second, summer peak rates are relatively effective compared to winter peak rates. Third, permanent time-or-use rates are relatively effective compared to experimental ones. Fourth, demand charges rival ordinary time-of-use rates in terms of impact.

We use data on 14 populations of coho salmon to estimate critical parameters that are vital for management of fish populations. Parameter estimates from individual data sets are inefficient and can be highly biased, and we investigate methods to overcome these problems. Combination of data sets using nonlinear mixed effects models provides more useful results, however questions of influence and robustness are raised. For comparison, robust estimates are obtained. Model-robustness is also explored using a family of alternative functional forms. Our results allow ready calculation of the limits of exploitation and may help to prevent extinction of fish stocks. Similar methods can be applied in other contexts where parameter estimation is part of a larger decision-making process.

This user's guide provides a detailed description of the CD-ROM Income trends in Canada (13F0022XCB). It also provides a glossary, a description of the major concepts as well as an overview of the data source, the Survey of Consumer Finances.

This paper outlines the process of delineating the agricultural land base (ecumene) in Canada based on data from the 1991 Census of Agriculture.

This paper reconstructs the development and evolution of the Canadian agricultural statistical system. It describes the expanding and increasingly important role of administrative data, which is integrated into survey and census information in order to complement, supplement or replace survey information or to assist with frame maintenance.

This paper describes the experiences, the issues and the expectations of the many different players involved in the implementation of document imaging for the Canadian Census of Agriculture.