Corporate self-greenewal: Strategic responses to environmentalism

The rise of environmentalism in the past decade has become a major transforming force in pollutive and hazard prone industries. Corporate environmental responsiveness is not simply a peripheral and one of the many ‘social’ or ‘ethical’ issues facing business. It is becoming a central concern for competitiveness, productivity, and profitability. It is creating strategic transformation of companies in a diverse range of industries such as, Autos, Chemicals, Oil, Fast Foods, Power Generation, Pharmaceuticals, etc. The process of environmentally directed self-renewal, called ‘greenewal’ here, affects all aspects of companies. It implies changes in products, production systems, waste management practices and internal systems. It seeks to make companies simultaneously more competitive and environmentally responsible. This paper describes the pressures of and responses to environmentalism in a selected set of industries. It examines the processes of greenewal that companies are undergoing. It identifies implications for strategic greening of firms.     

Evaluation of cooperative research

This report looks at evaluation studies of a number of cooperative academic-industrfy research programmes in Europe, and suggests that indirect economic benefits should be taken into account as well as motives and goals of participating firms.     

From weed to wealth? Prospects for medic pastures in the Mediterranean farming system of north-west Syria

Medic (Medicago spp.) pastures are widely grown in rotation with dryland cereal crops in Mediterranean climate zones of Australia. Attempts since the 1960's to introduce this system to Mediterranean west Asia and north Africa (the native region of medic) have not lead to significant adoption; farmers in the region recognize medic, but as a weed and natural pasture plant. This first detailed economic evaluation of the rotational medic system was conducted using a whole-farm linear programming model based on the agricultural system of north-west Syria. The model represents in detail impacts of rotation on yields, labor requirements of alternative farm activities, availability of family and hired labor, subsistence income requirements, livestock feed sources and uses at different times and a choice of sheep stocking rates. Biological data for the analysis are based on a large six-year cropping and grazing experiment near Aleppo on terra-rossa soil with rainfall mainly in winter and averaging about 330 mm annually. The trial compared a dryland medic-wheat system and traditional two-year rotations of wheat with: fallow, watermelon, lentil and vetch. Results indicate that, given current prices and yields from the trial, medic is less profitable than traditional rotations. The model was used to investigate situations in which medic would be economically preferred. Selection of a medic rotation by the model was found to be particularly sensitive to the area of the farm and the price of labor. On small farms, labor availability per hectare is high, favouring the production of labor intensive crops such as lentil and watermelon. On larger farms, labor costs of these enterprises are substantial, increasing the relative profitability of medic, especially if labor prices increase. Interestingly, the relative desirability of medic is more sensitive to its impact on subsequent wheat crops than to the level of pasture production. We also found that modest increases in the prices of sheep products (especially milk) have a major impact on the economic performance of medic. These insights will allow improved focusing and targeting of future research and extension activities.     

ARE EQUIVALENCE SCALES THE SAME FOR THE UNITED STATES AND CANADA?

This research uses microdata from the 1986 Statistics Canada Family Expenditure Survey and from the 1986–88 U.S. Consumer Expenditure Survey to estimate equivalence scales using a methodology which is very similar to that employed by Statistics Canada for the estimation of Low-Income Cutoffs. Employing identical sample selection criteria and identically specified models, we find that equivalence scales for the two countries are not, in general, statistically different when estimated in the same way. The larger issue is then whether the two countries should choose the same methodology for the estimation of equivalence scales.