Improving policy making through government–industry policy learning: The case of a novel Swedish policy framework

Stigson, Peter; Dotzauer, Erik; Yan, Jinyue

doi:10.1016/j.apenergy.2008.05.015

Cited by 49 publications

(19 citation statements)

References 14 publications

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“…The importance of investor perspectives in policymaking processes has been emphasised in relation to novel climate policies and complex mitigation solutions (Stigson et al 2009). …”

Section: Methodsmentioning

confidence: 99%

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

Stigson

Hansson

Lind³

2012

Mitig Adapt Strateg Glob Change

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The potential for CO 2 emission reductions through carbon capture and storage (CCS) is depending on investments that can bring the technology from the current R&D through to commercial applications. The intermediate step in this development is demonstration plants that can prove the technical, economic, social, and ecological feasibility of CCS technologies. Based on a CCS stakeholder questionnaire survey and a literature review, we critically analyse discrepancies regarding perceptions of deployment obstacles and experiences from early demonstration plants. The analysis identifies discrepancies between CCS policies versus important deployment considerations and CCS stakeholder policy demands. The discrepancy gap is emphasised by lessons from restructured, postponed, and cancelled CCS projects. To bridge this cognitive gap towards proving CCS through demonstration activities, the article highlights policy implications of establishing a broad understanding of deployment obstacles. Attention to these obstacles is important for policymakers and industry in channelling efforts to demonstrating CCS, hence validating the current focus on CCS as a key abatement potential. Under present conditions, the findings question the robustness of current CCS abatement potential estimates and deployment goals as established by policymakers and in scenarios.

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“…The importance of investor perspectives in policymaking processes has been emphasised in relation to novel climate policies and complex mitigation solutions (Stigson et al 2009). …”

Section: Methodsmentioning

confidence: 99%

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

Stigson

Hansson

Lind³

2012

Mitig Adapt Strateg Glob Change

Self Cite

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“…This emission issue influences not only the global ecological environment but also the global economy, which is closely linked with the production and life of mankind [1]. Under the trend of development of the world economy, most developing countries regard economic growth as their single target.…”

Section: Introductionmentioning

confidence: 99%

Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors

Fan

Meng

2015

Energies

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Based on the international community's analysis of the present CO2 emissions situation, a Log Mean Divisia Index (LMDI) decomposition model is proposed in this paper, aiming to reflect the decomposition of carbon productivity. The model is designed by analyzing the factors that affect carbon productivity. China's contribution to carbon productivity is analyzed from the dimensions of influencing factors, regional structure and industrial structure. It comes to the conclusions that: (a) economic output, the provincial carbon productivity and energy structure are the most influential factors, which are consistent with China's current actual policy; (b) the distribution patterns of economic output, carbon productivity and energy structure in different regions have nothing to do with the Chinese traditional sense of the regional economic development patterns; (c) considering the regional protectionism, regional actual situation need to be considered at the same time; (d) in the study of the industrial structure, the contribution value of industry is the most prominent factor for China's carbon productivity, while the industrial restructuring has not been done well enough.

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“…Private actors have better information about their own costs and innovation potential, and they may have different perceptions about future policies and prices than policymakers. These asymmetries impede making correct choices in the design of efficient strategies (Stigson et al 2009). Policymakers are concerned about investing scarce public dollars in the wrong technologies, while private actors seeking public support want to appear deserving of those dollars.…”

Section: Other Barriers May Require More Specific Attention Informationmentioning

confidence: 99%

How Should Support for Climate-Friendly Technologies Be Designed?

Fischer

Torvanger

Shrivastava³

et al. 2012

Ambio

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Stabilizing global greenhouse gas concentrations at levels to avoid significant climate risks will require massive ''decarbonization'' of all the major economies over the next few decades, in addition to the reduced emissions from other GHGs and carbon sequestration. Achieving the necessary scale of emissions reductions will require a multifaceted policy effort to support a broad array of technological and behavioral changes. Change on this scale will require sound, well-thought-out strategies. In this article, we outline some core principles, drawn from recent social science research, for guiding the design of clean technology policies, with a focus on energy. The market should be encouraged to make good choices: pricing carbon emissions and other environmental damage, removing distorting subsidies and barriers to competition, and supporting RD&D broadly. More specific policies are required to address particular market failures and barriers. For those technologies identified as being particularly desirable, some narrower RD&D policies are available. Keywords Climate-friendly technologies Á Carbon pricing Á Technology policies Á BarriersMany studies analyze the technological options for achieving deep reductions in greenhouse gas (GHG) emissions. For example, in a well-known Science article, Pacala and Socolow (2004) introduced a now-popular tool illustrating the ''wedges'' of potential reductions from available technologies to bring the emissions path to a stabilization target. These kinds of studies are informative, but they focus on the capacity of technologies, rather than the cost-effectiveness of reduction options (that is, meeting the policy target at lowest cost for the society), the possibilities for innovation over time, or the role of policies in getting there. Economists who model climate policies, on the other hand, tend to focus on cost-effective solutions, but often with less technological detail. All models have difficulty incorporating realistic representations of technological change, uncertainties, barriers, and non-marketbased policies. It is important to remember that energy projections are difficult for proven technologies and even trickier for emerging ones.In one word, a key challenge for meeting emissions and technology goals is uncertainty. We are not sure what emissions reductions will ultimately be needed or what the corresponding prices will be. We do not necessarily have a good idea of the costs of large-scale deployment of existing technologies, when breakthrough technologies might arrive, or to what degree the costs and quality of existing technologies will be improved. These kinds of uncertainties can create tension regarding how to choose among them. On the one hand, policies should be as neutral as possible to allow a broad range of technologies to emerge and compete and to avoid the problem of governments attempting to pick winners. On the other hand, we cannot be fully neutral, given that we are largely aware of the major technological options that will be available ...

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Improving policy making through government–industry policy learning: The case of a novel Swedish policy framework

Cited by 49 publications

References 14 publications

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

Obstacles for CCS deployment: an analysis of discrepancies of perceptions

Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors

How Should Support for Climate-Friendly Technologies Be Designed?

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