Business and children`:mapping impacts, managing responsibilities

In recent years, issues of childhood obesity, unsafe toys, and child labor have raised the question of corporate responsibilities to children. However, business impacts on children are complex, multi-faceted, and frequently overlooked by senior managers. This article reports on a systematic analysis of the reputational landscape constructed by the media, corporations, and non-government organizations around business responsibilities to children. A content analysis methodology is applied to a sample of more than 350 relevant accounts during a 5-year period. We identify seven core responsibilities that are then used to provide a framework for enabling businesses to map their range of impacts on children. We set out guidelines for how to identify and manage the firm’s strategic responsibilities in this arena, and identify the␣constraints that corporations face in meeting such responsibilities.

Rapid machine tool verification

This paper describes work carried out to develop methods of verifying that machine tools are capable of machining parts to within specification, immediately before carrying out critical material removal operations, and with negligible impact on process times. A review of machine tool calibration and verification technologies identified that current techniques were not suitable due to requirements for significant time and skilled human intervention. A 'solution toolkit' is presented consisting of a selection circular tests and artefact probing which are able to rapidly verify the kinematic errors and in some cases also dynamic errors for different types of machine tool, as well as supplementary methods for tool and spindle error detection. A novel artefact probing process is introduced which simplifies data processing so that the process can be readily automated using only the native machine tool controller. Laboratory testing and industrial case studies are described which demonstrate the effectiveness of this approach.

Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption

Most studies investigating the determinants of R&D investment consider pooled estimates. However, if the parameters are heterogeneous, pooled coefficients may not provide reliable estimates of individual industry effects. Hence pooled parameters may conceal valuable information that may help target government tools more efficiently across heterogeneous industries. There is little evidence to date on the decomposition of the determinants of R&D investment by industry. Moreover, the existing work does not distinguish between those R&D determinants for which pooling may be valid and those for which it is not. In this paper, we test the pooling assumption for a panel of manufacturing industries and find that pooling is valid only for output fluctuations, adjustment costs and interest rates. Implementing the test results into our model, we find government funding is significant only for low-tech R&D. Foreign R&D and skilled labour matter only in high-tech sectors. These results suggest important implications for R&D policy.

A dual definition for the factor content of trade and its effect on factor rewards in US manufacturing sector

We introduce a dual definition of the Factor Content of Trade (FCT) using the concept of the Equivalent Autarky Equilibrium. Estimating a symmetric normalized quadratic revenue function for the U.S. manufacturing sector between 1965 and 1991, we find that the FCT for capital is positive, while the FCT for skilled and unskilled labor is negative, suggesting that the Leontief Paradox is not present. Then the growth rate of the factor rewards is decomposed to the FCT, endowments, and technological change effects. We find that technological change is the most important determinant in explaining wage inequality between skilled and unskilled labor.