Employment,schooling and productivity growth

Summary This paper presents an empirical analysis of labour demand and labour productivity growth in The Netherlands. Assuming an aggregate production function with as factors capital and 3 types of labour, distinguished by educational attainment, cost minimization leads to a set of 3 labour demand relations to be estimated on time series data. Using the estimates and the implied elasticities, aggregate labour productivity growth is decomposed into factor substitution, autonomous factors, labour time shortening, economies of scale, utilization rates and the increased educational level of the working population. The contributions of substitution, utilization rates and education appear to be substantial, notably in the seventies.

List of symbols

Variables a _i Efficiency index of skill leveli - C production - h _i working-time index for skill leveli - g _i steady-state growth rate of skill leveli - K capital stock - L _i employment volume of skill leveli - L _i ^* desired level of labour skill leveli - p output price - p ^* desired output price - s _i ^* long-run static labour shares in the production value - p _k rental price of capital - P index of total factor productivity - P _l index of labour productivity - u _i utilization rate of skill leveli - u _k utilization rate of capital - w _i wage rate for skill leveli - y production volume - y _yij Hicks partial elasticities of complementarity - _i steady-state cost share of skill leveli - _k Bk steady-state cost share of capital - _f lf highest level price index in cost function nesting - _g 4 intermediate level price index in cost function nesting - _h 4 lowest level price index in cost function nesting - _i steady-state relative wage share of skill leveli - _ij Allen partial elasticities of substitution Parameters d _i l adjustment speed of skill leveli - d _p price adjustment speed - M mark-up on marginal costs - scale elasticity of production - _i distribution parameter in cost function,i = 3, g - _i distribution parameter in cost function,i = k, h - _i distribution parameter in cost function,i =1, 2 - _i autonomous labour productivity growth for skill leveli - _i cost share of skill level in base year - _f production cost index in base year - _i hours elasticity in labour efficiency index - group elasticity of substitution betweenL ₃ and (K, (L ₁,L ₂)) - _g Og group elasticity of substitution betweenK and (L ₁,L ₂) - _h 6h group elasticity of substitution betweenL ₁ andL ₂ We would like to thank B. Downey, G.M.M. Gelauff, A. Nieuwenhuis, J.M.M. Ritzen, J.C. Siebrand and an unknown referee for helpful comments on earlier drafts.     

The economic law of population distribution and migration

"The economic law of population distribution and migration has been studied chiefly based on the Chinese situation. The distribution and development of productive forces decide the distribution and migration of population, and in turn, the latter influences the former. The population distributions in three different stages of social development, namely agricultural, industrial and information society, are described. A new concept in population economics is introduced, i.e. population economic density, which is different from the concept of population density. The formula of population economic density is P(population)/R(resources). Many kinds of migration are analysed, and it is believed that the main efficient cause of migration is economy."     

A generalized maximum likelihood characterization of the normal distribution

LetP be a probability measure on ℝ andI _x be the set of alln-dimensional rectangles containingx. If for allx ∈ ℝⁿ and θ ∈ ℝ the inequality holds,P is a normal distributioin with mean 0 or the unit mass at 0. The result generalizes Teicher’s (1961) maximum likelihood characterization of the normal density to a characterization ofN(0, σ²) amongall distributions (including those without density). The m.l. principle used is that of Scholz (1980).     

Economic humidity control: an alternative to reheat

Heat pipe technology will have a significant impact on the power consumption of many manufacturing industries, the installation costs of new or replacement air conditioning systems, and on electric utility peak demands.     

Are you a strategist or just a manager?

Perhaps the greatest strategist of all time was not a business executive but a general. Helmuth von Moltke, chief of the Prussian and German general staffs from 1858 to 1888, issued "directives" to his officers rather than specific commands. These guidelines for autonomous decision making encouraged Moltke's subordinates to show individual initiative. In this article, Hans Hinterhuber and Wolfgang Popp translate Moltke's example into business terms. According to Moltke, strategy is applied common sense and cannot be taught. The authors suggest that good entrepreneurs and managers--along with generals--are born with the qualities that make them successful. But even if managers have the potential to be good strategists, they must develop and hone their natural talents. And CEOs and top management can help by identifying and promoting such talents in their employees. Hinterhuber and Popp have created a questionnaire that helps measure strategic management competence. Managers and entrepreneurs take this test themselves, answering ten questions such as, "Do I have an entrepreneurial vision?", "Do I have a corporate philosophy?", and "Do I have competitive advantages?" Using the questionnaire, company management can evaluate managers being considered for a promotion. At the same time, those who take the test can use it to determine their own performance as strategists. Strategic managers provide subordinates with general guidelines, just as Helmuth von Moltke issued directives to his officers. And outstanding entrepreneurs create a corporate culture in which their vision, philosophy, and business strategies are implemented by employees who think independently.     

Management development and business ethics: A view from the U.K.

This article is written in the context of current British interest in management training and development, in which an emphasis on competency is viewed critically, as technically oriented, with little attention paid to ethics and moral values. It is suggested that a concern for ethics in management development can be expressed in terms of four requisite management attributes or qualities: theoretical knowledge and understanding; affective qualities; personal and interpersonal skills; and self-knowledge. Following Kohlberg's work on moral development, the cultivation of these attributes is viewed as a life-span process involving three broadly defined forms of management development practice, each appropriate to different circumstances and stages in a learner's career. It is concluded that the conventional teaching of theory, learning from experience and counselling/mentoring, are equally important in the contribution which management development can make to the resolution of ethical dilemmas in business practice.Patrick Maclagan is a lecturer in organisational behaviour and managerial ethics at the School of Management, University of Hull, U.K., where he is also on the Steering Committee of the Social Values Research Centre, His current research concerns the relationship between management development and ethics in organisations.