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51.
Abstract: Sustainable development has been widely hailed in Canadian environmental -policy circles, as has its related goals of promoting pollution prevention and integrating policy across sectoral, jurisdictional, and medium (e.g., air, water, land) boundaries. But such broad support has generally not served to translate sustainability into concrete policy initiatives at the federal or provincial levels. Indeed, most Canadian efforts to foster sustainability appear to be largely symbolic in nature, leaving the bulk of environmental regulatory functions highly fragmented by medium and oriented towards pollution control. In comparison with the United States, it remains much more difficult to discern prevention and integration principles being put into practice in Canada in many important areas of environmental policy. The decentralization of policy-making and the lack of policy entrepreneurship within environment ministries in Canada appear to contribute to this comparatively slower response to the challenge of sustainability. Sommaire: Dans les milieux qui formulent les politiques environnementales au Canada, on chante les louanges du développement durable; on vante aussi ses objectifs de promouvoir la prévention de la pollution et d'integrer les politiques au niveau des secteurs, des territoires administratifs et de I'ensemble des trois milieux: air, eau, terre. Cet appui généralisé n'a cependant pas permis, dans l'ensemble, de traduire la durabilité en initiatives concrètes aux niveaux fédéral et provincial. En fait, la plupart des efforts canadiens favorisant la durabilité semblent avoir un caractère largement symbolique, la plupart des fonctions de réglementation environnementale étant fortement fragmentées selon les milieux (air, eau, terre) et orientées vers le contrôle de la pollution. A l'encontre des États-Unis, on a du mal à voir pratiquer au Canada les principes de la prévention et de l'intégration dans de nombreux domaines de politique environnementale. La décentralisation de la formulation des politiques, ainsi que I'inactivité des ministères de l'environnement dans ce domaine, semble contribuer à cette plus grande lenteur face au défi de la durabilité. 相似文献
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Jack Hirshleifer 《Public Choice》1983,41(3):371-386
It has traditionally been assumed that the socially available amount X of a public good is the simple sum of the separate amounts x i produced by the i = 1, ..., I members of the community. But there are many other possibilities of practical importance. Among them are: (i) Weakest-link rule, where the socially available amount is the minimum of the quantities individually provided, and (ii) Best-shot rule, where the socially available amount is the maximum of the individual quantities. The former tends to arise in linear situations, where each individual has a veto on the total to be provided (e.g., if each is responsible for one link of a chain); the latter tends to arise when there is a single prize of overwhelming importance for the community, with any individual's effort having a chance of securing the prize. In comparison with the standard Summation formula of ordinary public-good theory, it is shown that underprovision of the public good tends to considerably moderated when the Weakest-link function is applicable, but aggravated when the Best-shot function is applicable. In time of disaster, where the survival of the community may depend upon each person's doing his duty, the conditions for applicability of the Weakest-link rule are approximated. This circumstance explains the historical observation that disaster conditions tend to elicit an extraordinary amount of unselfish behavior. 相似文献
60.
In political science and related disciplines in the social andbehavioral sciences, there exists an unfortunate de facto dividebetween qualitative and quantitative empirical research. Sometimesthis divide is purely a function of training and disciplinarysocialization, but often it reflects a valid dispute over thephilosophical foundations of inquiry. I argue here that theBayesian approach to quantitative empirical modeling is an amenablestarting point for building a rapprochement between qualitativeand quantitative research, and I introduce as an example a straightforwardmodel that allows for the Bayesian estimation of the differencebetween means of very small samples with unknown and possiblyunequal variances. I then extend this approach to consider nonnormalvariates, informative priors, and a multivariate test of thedifference of means useful for the researcher who is interestedin determining whether two small samples are different on severaldimensions simultaneously. 相似文献