This study critically examines the implications of integrating Indigenous relational worldviews into the water governance framework of the Saskatchewan River Delta. Using a relational theoretical framework and community-based participatory research methodology, both Indigenous community members and non-Indigenous researchers collectively examine the negative impacts of Western water governance policies and practices on the Métis community residing in Cumberland House, located in northeast Saskatchewan, Canada. Through Indigenous traditional water story-sharing methods with Indigenous Elders and Knowledge Keepers, our focus centres on Indigenous interpretations and ways of knowing the Delta. The community highlighted the pervasive influence of power dynamics and political agendas in the governance of the Delta. As such, we emphasise the necessity of challenging settler colonial systems and structures and reinvigorating Indigenous worldviews for water governance. By doing so, we advocate for the advancement of Indigenous sovereignty and self-determination in their relationship with land and water, thereby promoting the meaningful implications of the Truth and Reconciliation Commission Calls to Action.

Previous research shows that volatility in oil prices has tended to depress output, as measured by nonresidential investment, gross domestic product, and aggregated measures of industrial production in several countries. This paper investigates the effect of oil price volatility on disaggregated measures of industrial production. The disaggregated measures that we examine are the special aggregates by market groups as calculated by the Federal Reserve Board. Our results are reported for three categories of special aggregates: indexes for industrial production excluding two major industries (technology and motor vehicles), energy-related special aggregates, and non-energy-related special aggregates. Our results indicate that among energy-related market groups, the effects of oil price volatility are concentrated in activities related to primary energy generation and oil and gas drilling. Among non-energy-related market groups, oil price volatility affects a broad range of special aggregates, including aggregates sorted by consumer goods and business equipment.

The relationship between the price of oil and the level of economic activity is a fundamental empirical issue in macroeconomics. Hamilton (1983) showed that oil prices had significant predictive content for real economic activity in the United States prior to 1972, whereas Hooker (1996) argued that the estimated linear relations between oil prices and economic activity appear much weaker after 1973. In the debate that followed, several authors suggested that the apparent weakening of the relationship between oil prices and economic activity is illusory, arguing that the true relationship between oil prices and real economic activity is asymmetric, with the correlation between oil price decreases and output significantly different from the correlation between oil price increases and output—see, for example, Mork (1989) and Hamilton (2003).

Previous research shows that volatility in oil prices has tended to depress output, as measured by nonresidential investment and GDP. This is interpreted as evidence in support of the theory of real options in capital budgeting decisions, which predicts that uncertainty about, for example, commodity prices will cause firms to delay production and investment. We continue that investigation by analyzing the effect of oil price uncertainty on monthly measures of U.S. firm production related to industries in mining, manufacturing, and utilities. We use a more general specification, an updated sample that includes the increased oil price volatility since 2008, and we control for other nonlinear measures of oil prices. We find additional empirical evidence in support of the predictions of real options theory, and our results indicate that the extreme volatility in oil prices observed in 2008 and 2009 contributed to the severity of the decline in manufacturing activity.