Trust and communication barriers have contributed significantly to the lethargic performance of many point-nonpoint source water quality trading programs-farmers are often reluctant to participate despite direct financial incentives-yet the literature lacks a comprehensive investigation of how the social context affects trading outcomes. We draw on social embeddedness theory to analyze three mechanisms of communicating with farmers and conduct a case study analysis of 12 water quality trading programs. We find that employing trustworthy third parties or embedded ties may reduce farmers' reluctance to participate, although the most effective mechanism ultimately depends on local conditions and program objectives. (JEL Q53)
Abstract:We examine the politics of US state and federal policy supporting wind and solar in the electricity sector and biofuels and electric vehicles in the transportation sector. For each technology, we provide two policy case studies: the federal Production Tax Credit (PTC) and state Renewable Portfolio Standards (RPS) for wind; state Net Energy Metering (NEM) and the federal investment tax credit (ITC) for solar; federal excise tax incentives and the Renewable Fuel Standard (RFS) for biofuels; and California's Zero Emission Vehicle (ZEV) mandate and federal tax incentives for electric vehicles. Each case study traces the enactment and later revision of the policy, typically over a period of twentyfive years. We use these eight longitudinal case studies to identify common patterns in the politics of US renewable energy policy. Although electricity and transportation involve different actors and technologies, we find similar patterns across these sectors: immature technology is underestimated or misunderstood; large energy bills provide windows of opportunity for enactment; once enacted, policies are extended incrementally; there is increasing politicization as mature technology threatens incumbents.Acknowledgments: Thank you to Peter Dauvergne for feedback on earlier drafts.
Technology costs and deployment rates, represented in experience curves, are typically seen as the main factors in the global clean energy transition from fossil fuels towards low-carbon energy sources. We argue that politics is the hidden dimension of technology experience curves, as it affects both costs and deployment. We draw from empirical analyses of diverse North American and European cases to describe patterns of political conflict surrounding clean energy adoption across a variety of technologies. Our analysis highlights that different political logics shape costs and deployment at different stages along the experience curve. The political institutions and conditions that nurture new technologies into economic winners are not always the same conditions that let incumbent technologies become economic losers. Thus, as the scale of technology adoption moves from niches towards systems, new political coalitions are necessary to push complementary system-wide technology. Since the cost curve is integrated globally, different countries can contribute to different steps in the transition as a function of their individual comparative political advantages.
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