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Are we on the verge of a global environmental catastrophe, or is a modest revision of environmental policy all that is necessary to ensure our safety and prosperity? Governing the Environment considers both scenarios, and those between the two extremes, in its examination of current trends and challenges in managing environmental issues.This collection of seven essays, authored by leading Canadian academics, examines different aspects of the relationship between government and environmental issues. The volume focuses on Canadian contributions and innovations in the field, but it is of relevance to audiences around the world.Parson's introductory essay sets the stage for the complex discussions to follow. He provides background by sketching the Canadian institutional context for environmental protection: by describing the major pollutant burdens and the state of natural resources, and by summarizing the most salient policy issues. His conclusion elaborates on four major themes emerging from the work. These are the achievement of 'adaptive management'; the challenge of building effective government and interjurisdictional capacities for managing the environment; the need for networks to share responsibility more effectively without overlapping tasks; and finally, the real challenge to state authority that these undertakings represent. This work is written for a multidisciplinary academic audience, encompassing students and teachers of advanced environmental studies and Canadian public policy

One of the fundamental critiques against twentieth century experiments in central economic planning, and the main reason for their failures, was the inability of humandirected planning systems to manage the data gathering, analysis, computation, and control necessary to direct the vast complexity of production, allocation, and exchange decisions that make up a modern economy. Rapid recent advances in AI, data, and related technological capabilities have re-opened that old question, and provoked vigorous speculation about the feasibility, benefits, and threats of an AI-directed economy. This paper presents a thought experiment about how this might work, based on assuming a powerful AI agent (whimsically named "Max") with no binding computational or algorithmic limits on its (his) ability to do the task. The paper's novel contribution is to make this hitherto under-specified question more concrete and specific. It reasons concretely through how such a system might work under explicit assumptions about contextual conditions; what benefits it might offer relative to present market and mixed-market arrangements; what novel requirements or constraints it would present; what threats and challenges it would pose, and how it inflects long-standing understandings of foundational questions about state, society, and human liberty.As with smaller-scale regulatory interventions, the concrete implementation of comprehensive central planning can be abstracted as intervening via controlling either quantities or prices. The paper argues that quantity-based approaches would be fundamentally impaired by problems of principal-agent relations and incentives, which hobbled historical planning systems and would persist under arbitrary computational advances. Price-based approaches, as proposed by Oskar Lange, do not necessarily suffer from the same disabilities. More promising than either, however, would be a variant in which Max manages a comprehensive system of price modifications added to emergent market outcomes, equivalent to a comprehensive economy-wide system of Pigovian taxes and subsidies. Such a system, "Pigovian Max," could in principle realize the information efficiency benefits and liberty interests of decentralized market outcomes, while also comprehensively correcting externalities and controlling inefficient concentration of market power and associated rent-seeking behavior. It could also, under certain additional assumptions, offer the prospect of taxation without deadweight loss, by taking all taxes from inframarginal rents.Having outlined the basic approach and these potential benefits, the paper discusses several challenges and potential risks presented by such a system. These include Max's need for data and the potential costs of providing it; the granularity or aggregation of Max's determinations; the problem of maintaining variety and innovation in an economy directed by Max; the implications of Max for the welfare of human workers, the meaning and extent of property rights, and associated liberty interests; the definition of social welfare that determines Max's objective function, its compatibility with democratic control, and the resultant stability of the boundary between the state and the economy; and finally, the relationship of Max to AI-enabled trends already underway, with implications for the feasibility of Max being developed and adopted, and the associated risks. In view of the depth and difficulty of these questions, the discussion of each is necessarily preliminary and speculative.