The Implications of Policy Stability for Renewable Energy Innovation in the <scp>U</scp>nited <scp>S</scp>tates, 1974–2009

Liang, Jiaqi; Fiorino, Daniel J.

doi:10.1111/psj.12004

Cited by 65 publications

(23 citation statements)

References 47 publications

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“…With time-series cross-sectional analyses, Liang and Fiorino (2013) made empirical research on the driving effects of the stability of federal R&D spending on innovation (measured by patent counts) in different renewable energy sources (i.e., solar, wind, hydropower, geothermal, and bioenergy). They suggest that stability effect has greater explanatory power on innovation activities in renewables [46].…”

Section: Persistent Innovation and Policy Stabilitymentioning

confidence: 99%

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

et al. 2018

Sustainability

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Abstract:We examine the driving effects of various factors on technological innovation to renewables (TIRES), focusing on a set of 29 provinces in China, and apply a dynamic panel approach. China has become a leading player in research and development spending in renewables, and the dynamic panel estimators we use prove themselves to be suitable in handling the persistent effect on TIRES. The level of TIRES in the previous periods is positively and highly correlated with that in the current period and confirmed the need for a stable and consistent policy support for renewables. Electricity consumption is the most important driver for all renewables and wind energy, but the driving effect was weaker for solar energy and biomass. Research and development intensity is the most important driver for biomass, but is only the second most important driver for all renewables, solar energy and wind energy. Unexpectedly, electricity price has had significant negative impacts on TIRES, which reveals that lowering electricity prices will lead to higher innovation in renewables. The driving effect of renewable energy tariff surcharge subsidy is not significant, which means that Chinese subsidy policy has not played the desired role. The driving effect of installed renewable energy capacity is also minimal, which may be due to the fact that overcapacity will hinder TIRES in China. This paper may help policy-makers and the industry understand how to promote TIRES in China effectively based on these above influential factors.

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Section: Persistent Innovation and Policy Stabilitymentioning

confidence: 99%

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

et al. 2018

Sustainability

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“…This means that, for low carbon investments to be viable and pay off in the long term, investmentincentivising policies must remain stable and reliable over their life-span and pay-off period of frequently over 20 years, pointing towards a crucial importance of stable, predictable government investment (Liang and Fiorino 2013) and policy frameworks. One key impediment for such investments is policy uncertainty.…”

Section: Uper-wicked' Problems Such As Climate Change Require Ambitiomentioning

confidence: 99%

Policy Stability in Climate Governance: The case of the United Kingdom

Rietig

Laing

2017

Env Pol Gov

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Super-wicked' problems such as climate change require ambitious policies within stable policy frameworks. Key for policy stability is to disincentivise future reversals to carbon-intensive lifestyles resulting in unstoppable climate change. It requires lock-in to a low-carbon development trajectory, requires increasing popular support, and needs to be self-reinforcing, with reversal costs rising over time as benefits increase. In parliamentary political systems (e.g. the UK), policies emerge more easily but are more difficult to maintain given that shifting political majorities can result in policy U-turns, resulting in uncertainties for investment in lowcarbon transitions. We examine what factors determine policy stability in UK climate change policy that aims to reduce CO 2 emissions by 85-90 per cent by 2050. Policy stability depends on favourable public opinion and the political system. In the case of parliamentary democracies the extent to which policy is embedded into a multilevel governance institutional framework and political cross-party consensus is particularly important for stability.The policy dismantling literature offers a very useful point of departure. It made important contributions to the study of environmental policy with its focus on intentionally, actor-driven policy change on the EU level (Gravey and Jordan 2016) and policy output in terms of dismantling by default, arena-shifting, symbolic action and active 576 K. Rietig and T. Laing

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“….]. [S]ome states and some categories are consistently punctuated, which is likely a function of their institutions" (Breunig & Koski, 2012, p. 62), or show the effects of the underlying distribution on other variables (Liang & Fiorino, 2013). A common denominator of these studies is their focus on the whole distribution of the outcome variable, not on single events.…”

Section: Stochastic Process Models and Petmentioning

confidence: 99%

“…Studies based on PET can show how characteristics of the distribution vary over different subpopulations: “budgets respond to their external demands and institutional contexts […]. [S]ome states and some categories are consistently punctuated, which is likely a function of their institutions” (Breunig & Koski, , p. 62), or show the effects of the underlying distribution on other variables (Liang & Fiorino, ). A common denominator of these studies is their focus on the whole distribution of the outcome variable, not on single events.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Point Predictions and the Punctuated Equilibrium Theory: A Data Mining Approach—U.S. Nuclear Policy as Proof of Concept

Hegelich¹,

Fraune²,

Knollmann³

2014

Policy Studies Journal

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In Punctuated Equilibrium Theory (PET), information processing under the constraints of limited attention and bounded rationality leads to stick-slip dynamics in policy outcomes. Empirical work in this field often focuses on the macro level. Using the case of nuclear energy policy in the United States as proof of concept, we demonstrate how decisive budget changes in a specific policy subsystem can be linked to attention of Congress and the president. We utilize a mixed-methods data-mining approach: Maximum likelihood estimation is used to analyze the distribution of the nuclear energy RD&D budget. Then attention data of both Congress and the president are structured by means of cluster analysis and principal component analysis. Finally, these data are used in a generalized linear model to predict specific budget shifts. The article is designed as a proof of concept: In the case of nuclear energy policy, we are able to predict budget shifts without violating the assumptions of PET. More importantly: we can demonstrate that attention is not only affecting the final policy outcome but also the corridor of the possible.

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The Implications of Policy Stability for Renewable Energy Innovation in the United States, 1974–2009

Cited by 65 publications

References 47 publications

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Factors That Influence Renewable Energy Technological Innovation in China: A Dynamic Panel Approach

Policy Stability in Climate Governance: The case of the United Kingdom

Point Predictions and the Punctuated Equilibrium Theory: A Data Mining Approach—U.S. Nuclear Policy as Proof of Concept

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