Search

Stormwater is a complex political and geographical problem. It is at once bound to land-use decisions, tied to geographical features such as lakes and rivers, and capable of flowing across different political boundaries and jurisdictions. In this paper, I empirically focus on how disparate understandings of stormwater are forged through different institutional arrangements and the ways multiple actors interact across scales of governance in Los Angeles. The results indicate four discourses influence decisions on urban stormwater management and are articulated through different forms of knowledge and power in environmental governance. The discourses diverge over contrasting perspectives on infrastructural interventions, the role of economic approaches, and the need for new institutions and rules. I suggest that disagreement may not deter integration and collaboration across different scales of governance, but without addressing conflict over key discursive claims about how stormwater governance should proceed, broadly accepted outcomes may remain elusive. With current trends in environmental governance moving towards hybrid forms that bring together groups that transcend traditional organizational structures, this paper reveals how more sustainable outcomes are being devised through current configurations of knowledge and power. [ABSTRACT FROM AUTHOR]

Traditional energy and demand savings metrics for distributed energy resources (DER) do not accurately describe the value of DERs to meet future energy needs, minimize grid investments, maintain reliability, and reduce greenhouse gasses. This problem is exacerbated in an increasingly renewable grid in which DER impact varies significantly with time and location. Moreover, different DERs are also valued using disparate metrics; this fragmented DER valuation and procurement creates process and economic inefficiencies. A new path forward is the Total System Benefits metric (TSB); the TSB aggregates all electric system benefits, and relevant environmental externalities that accrue to DERs. The TSB is the only metric that comprehensively values DER's to meet future electric system needs and environmental policy goals. This common metric will enable electricity planners, regulators, utilities, and implementers to best deploy and track DER to meet electric grid and environmental policy needs. This paper explains why the TSB is the right metric to value all DER, data requirements to develop the TSB, how to express DER in terms of the TSB, and lessons learned so far from California's implementation of the TSB. [ABSTRACT FROM AUTHOR]

Although California's carbon market is generally seen as a model climate policy, recent reforms now credit utilities for shifting legacy coal contracts to their unregulated neighbors, a practice that causes leakage. To the extent the market relies on leakage to generate compliance on paper, it is producing the false appearance of emissions reductions through an accounting scheme that does not reflect real climate benefits. [ABSTRACT FROM AUTHOR]

Voting referenda provide direct evidence of the demand for public goods. A number of previous studies have used referenda to analyze the support for public environmental goods. These studies have used aggregate data from large jurisdictional units (usually counties) and summary income measures such as the mean or median, and have usually found that higher income areas offer greater support for environmental propositions. We examine environmental referenda voting in California using census block group data, spatial dependence controls, and detailed income distribution data. We find that household income has a negative marginal effect on environmental referenda voting for most of the income range when using census block data. In addition, controls for spatial dependence significantly reduce the magnitude of most coefficients. This suggests that OLS estimates of referenda determinants are biased. We also show that county level data may be subject to severe aggregation bias and might not be appropriate for referenda studies. [Copyright &y& Elsevier]

Abstract: Future air pollution emissions in the year 2030 were estimated for the San Joaquin Valley (SJV) in central California using a combined system of land use, mobile, off-road, stationary, area, and biogenic emissions models. Four scenarios were developed that use different assumptions about the density of development and level of investment in transportation infrastructure to accommodate the expected doubling of the SJV population in the next 20 years. Scenario 1 reflects current land-use patterns and infrastructure while scenario 2 encouraged compact urban footprints including redevelopment of existing urban centers and investments in transit. Scenario 3 allowed sprawling development in the SJV with reduced population density in existing urban centers and construction of all planned freeways. Scenario 4 followed currently adopted land use and transportation plans for the SJV. The air quality resulting from these urban development scenarios was evaluated using meteorology from a winter stagnation event that occurred on December 15th, 2000 to January 7th 2001. Predicted base-case PM2.5 mass concentrations within the region exceeded 35 μg m−3 over the 22-day episode. Compact growth reduced the PM2.5 concentrations by ∼1 μg m−3 relative to the base-case over most of the SJV with the exception of increases (∼1 μg m−3) in urban centers driven by increased concentrations of elemental carbon (EC) and organic carbon (OC). Low-density development increased the PM2.5 concentrations by 1–4 μg m−3 over most of the region, with decreases (0.5–2 μg m−3) around urban areas. Population-weighted average PM2.5 concentrations were very similar for all development scenarios ranging between 16 and 17.4 μg m−3. Exposure to primary PM components such as EC and OC increased 10–15% for high density development scenarios and decreased by 11–19% for low-density scenarios. Patterns for secondary PM components such as nitrate and ammonium ion were almost exactly reversed, with a 10% increase under low-density development and a 5% decrease under high density development. The increased human exposure to primary pollutants such as EC and OC could be predicted using a simplified analysis of population-weighted primary emissions. Regional planning agencies should develop thresholds of population-weighted primary emissions exposure to guide the development of growth plans. This metric will allow them to actively reduce the potential negative impacts of compact growth while preserving the benefits. [Copyright &y& Elsevier]

Abstract: The California Zero Emission Vehicle (ZEV) rule, adopted in 1990, is arguably one of the most daring and controversial air quality policies ever adopted. Some consider it a policy failure, while others credit it with launching a revolution in clean automotive technology. This paper is the first systematic empirical study of the policy process that resulted in the adoption of the ZEV mandate. We draw upon theoretical frameworks of the policy process, empirical data from public documents, and personal interviews with key stakeholders, to explain how a confluence of technology, policy, and political circumstances created a window of opportunity that led to the adoption of this policy. We expect the conclusions of our analysis to be useful to other policy debates that involve technological innovation. [Copyright &y& Elsevier]

Nonpoint sources of pollution, primarily from agricultural sources, are a major cause of water quality impairment. Yet policies to address this issue remain underexplored in the literature. This article first reviews the agricultural nonpoint source (NPS) pollution policy literature and categorizes its major findings. The North American literature, in particular, rarely analyses NPS policies already in force, and pays even less attention to overcoming implementation barriers to reaching desired environmental outcomes. Second, this paper evaluates a newly adopted policy approach that addresses nonpoint sources of nutrient contaminants in the surface waters of one of the United States’ most agriculturally productive and environmentally pristine areas, California''s Central Coast. The article then reveals the political, budgetary and technical barriers faced by farmers, regulators, and other stakeholders. The article concludes by arguing that more analyses of implemented policies designed to address agricultural NPS pollution will better inform both local-level and federal policymakers towards the successful creation and implementation of policies that achieve environmental outcomes. [Copyright &y& Elsevier]

Abstract: The semi-annual European Environment Sustainable Conference in Aalborg, Denmark brought together from primarily Europe, but also other parts of the world. The Conference focused on sustainability but one panel focused on practical applications for public policy and private industry. The papers from this panel are presented in this special issue of the journal. They cover topics ranging from corporate sustainable programs to government plans including "feed in laws". Some papers are more academic oriented but clearly derived from practical political experiences such as those of the California energy crisis. These theories argue the need for "agile energy systems" whereby regions, cities and communities must have combinations of on-site or distributed energy generation like combined heat and power (CPH) along with central grid power generation. Finally, there is a clear message in all the papers that "market forces" alone do not develop, monitor or even provide "level playing fields" for communities. In short, there needs to be continuous "government" or public involvement in the sustainable communities. [Copyright &y& Elsevier]

Agency and state grant funding should be disseminated in ways so it will result in better management of household hazardous waste (HHW) and environmental sustainability. Since location seems to matter in HHW collection activities, it is important to consider pro-environmental spatial spillovers that occur, based on agency actions and waste collection behavior taking place in other locations. These may influence HHW-related practices in close-by regions. Using a county-level spatio-temporal dataset that consists of economic, demographic, and HHW data in California from 2004 to 2015, we evaluate the impact of HHW grants on HHW collection activities while considering pro-environmental spillovers. We employ a research design that controls for confounding factors across the North, Central and South Regions, and over time. The research models assess causal relationships using a random effects panel data model with instrumental variables to estimate the grants' influences, while considering spatial effects and unobservable bias. Several findings were obtained: (1) HHW grants had positive effects on waste collection in a consistent way across multiple models that we tested; (2) positive spatial spillover effects occurred for HHW collection activities due to the pro-environmental activities of nearby counties. This research contributes to the growing body of research on geospatial policy analytics, ways to establish the basis for causal inference, and the use of robustness checks to develop a deeper understanding of how to make waste management grant programs more effective in the regions where they are implemented. • Locations should be considered when assessing the effects of environmental-related policies. • Grants had positive effects on household hazardous waste (HHW) collection output. • Positive spatial spillover effects occurred for HHW collection activities in California. • Ignoring spatial spillovers may result in over-estimation of the grant effects. [ABSTRACT FROM AUTHOR]