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All (6)

All (6) ((6 results))

  • Surveys and statistical programs – Documentation: 16-257-X
    Description:

    Environment Accounts and Statistics Division is Statistics Canada's focal point for the collection, analysis and dissemination of environmental information. This reference guide briefly describes the division's programs, as well as all publications and electronic products offered on a quarterly, annual, biennial and occasional basis.

    Release date: 2014-04-17

  • Table: 21-023-X
    Geography: Canada
    Description: This report details the methodology and results of the Farm Environmental Management Survey (FEMS).

    The FEMS is conducted to gather information about farming practices on Canadian crop and livestock operations. The survey focuses on information related to manure storage and spreading, pesticide application, crop and nutrient management, grazing and the implementation of environmental farm plans.

    Release date: 2013-10-09

  • Surveys and statistical programs – Documentation: 16-001-M2007004
    Description:

    Statistics Canada administers a number of environmental surveys that fill important data gaps but also pose numerous challenges to administer. This paper focuses on two on-going environment surveys - one newly initiated and one in the process of a redesign.

    Release date: 2007-11-23

  • Articles and reports: 12-001-X20070019850
    Description:

    Auxiliary information is often used to improve the precision of survey estimators of finite population means and totals through ratio or linear regression estimation techniques. Resulting estimators have good theoretical and practical properties, including invariance, calibration and design consistency. However, it is not always clear that ratio or linear models are good approximations to the true relationship between the auxiliary variables and the variable of interest in the survey, resulting in efficiency loss when the model is not appropriate. In this article, we explain how regression estimation can be extended to incorporate semiparametric regression models, in both simple and more complicated designs. While maintaining the good theoretical and practical properties of the linear models, semiparametric models are better able to capture complicated relationships between variables. This often results in substantial gains in efficiency. The applicability of the approach for complex designs using multiple types of auxiliary variables will be illustrated by estimating several acidification-related characteristics for a survey of lakes in the Northeastern US.

    Release date: 2007-06-28

  • Table: 16F0002X
    Description:

    This report presents results and analysis of the Waste Management Industry Survey: Government Sector. The survey gathers information on waste collection, disposal and recycling practices of Canadian municipalities. The document provides an overview of waste management activities in large municipalities (5 000 or more residents). More than three quarters of the Canadian population are represented in this survey, allowing for estimates of municipal solid waste at the national level and for selected regional groupings. The report also presents information on waste management expenditures by local governments, including expenditures for services provided by contractors and by government employees.

    Release date: 1998-07-23

  • Table: 16F0007X
    Description:

    The federal government's Canadian Environmental Industry Strategy consists of a number of initiatives to achieve a cleaner environment and a stronger environmental industry. Statistics Canada received funding from Industry Canada, under Initiative 8 of the strategy, to develop a national statistical database on the environment industry. Statistics Canada began a program consisting of new surveys, modifications to existing surveys and integration of statistics from various components of its economic statistics framework.

    The environment "industry" does not exist as an explicit element in any existing classification. This is not surprising, because the environment industry consists of business involved in activities that span a number of different industries in the Standard Industrial Classification. Attempts had been made to identify environmental goods and services in existing classifications, but without appreciable success. It was necessary to develop new ways and new tools to obtain the information. These methods are outlined.

    A major objective of the approach adopted by Statistics Canada is to provide sufficient detail to permit comparability of the results with other countries and to satisfy a variety of data needs.

    Release date: 1997-06-01
Data (3)

Data (3) ((3 results))

  • Table: 21-023-X
    Geography: Canada
    Description: This report details the methodology and results of the Farm Environmental Management Survey (FEMS).

    The FEMS is conducted to gather information about farming practices on Canadian crop and livestock operations. The survey focuses on information related to manure storage and spreading, pesticide application, crop and nutrient management, grazing and the implementation of environmental farm plans.

    Release date: 2013-10-09

  • Table: 16F0002X
    Description:

    This report presents results and analysis of the Waste Management Industry Survey: Government Sector. The survey gathers information on waste collection, disposal and recycling practices of Canadian municipalities. The document provides an overview of waste management activities in large municipalities (5 000 or more residents). More than three quarters of the Canadian population are represented in this survey, allowing for estimates of municipal solid waste at the national level and for selected regional groupings. The report also presents information on waste management expenditures by local governments, including expenditures for services provided by contractors and by government employees.

    Release date: 1998-07-23

  • Table: 16F0007X
    Description:

    The federal government's Canadian Environmental Industry Strategy consists of a number of initiatives to achieve a cleaner environment and a stronger environmental industry. Statistics Canada received funding from Industry Canada, under Initiative 8 of the strategy, to develop a national statistical database on the environment industry. Statistics Canada began a program consisting of new surveys, modifications to existing surveys and integration of statistics from various components of its economic statistics framework.

    The environment "industry" does not exist as an explicit element in any existing classification. This is not surprising, because the environment industry consists of business involved in activities that span a number of different industries in the Standard Industrial Classification. Attempts had been made to identify environmental goods and services in existing classifications, but without appreciable success. It was necessary to develop new ways and new tools to obtain the information. These methods are outlined.

    A major objective of the approach adopted by Statistics Canada is to provide sufficient detail to permit comparability of the results with other countries and to satisfy a variety of data needs.

    Release date: 1997-06-01
Analysis (1)

Analysis (1) ((1 result))

  • Articles and reports: 12-001-X20070019850
    Description:

    Auxiliary information is often used to improve the precision of survey estimators of finite population means and totals through ratio or linear regression estimation techniques. Resulting estimators have good theoretical and practical properties, including invariance, calibration and design consistency. However, it is not always clear that ratio or linear models are good approximations to the true relationship between the auxiliary variables and the variable of interest in the survey, resulting in efficiency loss when the model is not appropriate. In this article, we explain how regression estimation can be extended to incorporate semiparametric regression models, in both simple and more complicated designs. While maintaining the good theoretical and practical properties of the linear models, semiparametric models are better able to capture complicated relationships between variables. This often results in substantial gains in efficiency. The applicability of the approach for complex designs using multiple types of auxiliary variables will be illustrated by estimating several acidification-related characteristics for a survey of lakes in the Northeastern US.

    Release date: 2007-06-28
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 16-257-X
    Description:

    Environment Accounts and Statistics Division is Statistics Canada's focal point for the collection, analysis and dissemination of environmental information. This reference guide briefly describes the division's programs, as well as all publications and electronic products offered on a quarterly, annual, biennial and occasional basis.

    Release date: 2014-04-17

  • Surveys and statistical programs – Documentation: 16-001-M2007004
    Description:

    Statistics Canada administers a number of environmental surveys that fill important data gaps but also pose numerous challenges to administer. This paper focuses on two on-going environment surveys - one newly initiated and one in the process of a redesign.

    Release date: 2007-11-23