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This paper presents a non-parametric approach for adjusting the multifactor productivity growth (MFPG) measure for variations in capacity utilization over time. In the framework developed here, a capital utilization measure is derived from the economic theory of production and is estimated by comparing the ex-post return with the ex-ante expected return on capital. The non-parametric approach is then compared with the parametric approach and the standard growth accounting framework. Both the non-parametric and parametric approaches correct for the cyclical bias in the standard MFPG measure, but the non-parametric approach offers more practical adjustment for capacity utilization, because it is easier to implement and more in line with the non-parametric approach long used by statistical agencies and researchers.

This publication contains annual data from 1981 to date for the balance sheet of the agricultural sector, at December 31, for Canada and the provinces. Data highlights and concepts and methods are also included.

In May, annual measures for the previous two calendar years are subject to revision. In November, estimates for the previous three years may be revised. Every five years a historical revision is done, based on the results of the Census of Agriculture. Although the data are available in late May and late November, the publication is not completed and released until the following July and January, respectively.

This paper examines the effects of alternative specifications of the user costs of capital on the estimated price and volume indices of capital services. It asks how sensitive the results are to the use of exogenous versus endogenous rates of return, to alternate ways of including capital gains, and to whether corrections are made for tax rates. The paper also examines the effect of the various user cost formulae on the measured multifactor productivity growth.

New firms are seen to play a key role in the innovation process, especially in certain key sectors of the economy. This study therefore examines the differences in the profiles of successful new firms in science-based industries and other industries. The firms that are examined are entrants who survey into their early teen years. The study examines numerous factors that are seen to influence the success of new businesses. These include the competitive environment, business strategies and the financial structure of the businesses.

Successful new firms in science-based industries are found to differ in a number of dimensions from new firms in other industries. They are more likely to be exporters. They face greater technological change and intense competition with regards to the rate at which new products are being introduced. They tend to put more emphasis on quality, the frequent introduction of new products and the customization of products. They make greater use of information technology. They place more stress on new technology development, research and development facilities and the use of intellectual property. They are much more likely to innovate and they place more importance on recruiting skilled labour and on training. Finally, they are more likely to use non-traditional financial measures to evaluate performance and they are less likely to rely on secured credit for financing both their research and development activity and their machinery and equipment that are firms in other sectors.

This publication contains annual data from 1981 to date for the balance sheet of the agricultural sector, at December 31, for Canada and the provinces. Data highlights and concepts and methods are also included.

In May, annual measures for the previous two calendar years are subject to revision. In November, estimates for the previous three years may be revised. Every five years a historical revision is done, based on the results of the Census of Agriculture. Although the data are available in late May and late November, the publication is not completed and released until the following July and January, respectively.

This paper presents a non-parametric approach for adjusting the multifactor productivity growth (MFPG) measure for variations in capacity utilization over time. In the framework developed here, a capital utilization measure is derived from the economic theory of production and is estimated by comparing the ex-post return with the ex-ante expected return on capital. The non-parametric approach is then compared with the parametric approach and the standard growth accounting framework. Both the non-parametric and parametric approaches correct for the cyclical bias in the standard MFPG measure, but the non-parametric approach offers more practical adjustment for capacity utilization, because it is easier to implement and more in line with the non-parametric approach long used by statistical agencies and researchers.

New firms are seen to play a key role in the innovation process, especially in certain key sectors of the economy. This study therefore examines the differences in the profiles of successful new firms in science-based industries and other industries. The firms that are examined are entrants who survey into their early teen years. The study examines numerous factors that are seen to influence the success of new businesses. These include the competitive environment, business strategies and the financial structure of the businesses.

Successful new firms in science-based industries are found to differ in a number of dimensions from new firms in other industries. They are more likely to be exporters. They face greater technological change and intense competition with regards to the rate at which new products are being introduced. They tend to put more emphasis on quality, the frequent introduction of new products and the customization of products. They make greater use of information technology. They place more stress on new technology development, research and development facilities and the use of intellectual property. They are much more likely to innovate and they place more importance on recruiting skilled labour and on training. Finally, they are more likely to use non-traditional financial measures to evaluate performance and they are less likely to rely on secured credit for financing both their research and development activity and their machinery and equipment that are firms in other sectors.

This paper examines the effects of alternative specifications of the user costs of capital on the estimated price and volume indices of capital services. It asks how sensitive the results are to the use of exogenous versus endogenous rates of return, to alternate ways of including capital gains, and to whether corrections are made for tax rates. The paper also examines the effect of the various user cost formulae on the measured multifactor productivity growth.