A qualitative evaluation of policy instruments used to improve energy performance of existing private dwellings in the Netherlands

Murphy, Lorraine; Meijer, F.M.; Visscher, Henk

doi:10.1016/j.enpol.2012.02.056

Cited by 83 publications

(40 citation statements)

References 19 publications

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“…They concern difficulties experienced when trying to have such innovations adopted in existing urban areas, such as the lack of finance, lack of trust and little effective (local) government policies to persuade public (social housing associations) [61,62] and private homeowners [63] to adopt measures to increase the energy efficiency of dwellings. As shown in the Ruhr Valley case study, the lack of market demand and the lack of incentives from the regulatory framework fail to stimulate change in the energy regime.…”

Section: Discussionmentioning

confidence: 99%

Decentralised combined heat and power in the German Ruhr Valley; assessment of factors blocking uptake and integration

Viétor¹,

Hoppe

Clancy

2015

Energ Sustain Soc

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Background: In Germany, the energy system is undergoing reorganisation from a centralised system based on fossil fuels and nuclear power to a sustainable system based on decentralised production and consumption of energy, the so-called Energiewende. Recently, there has been more attention to improving energy efficiency in those regions where conventional energy production activities and energy-intensive industries are located, such as the Ruhr area. Although the potential for decentralised combined heat and power (CHP) units is high in this region, local action plans show only modest developments for this technology. In this paper, we address this issue by answering the following research question: Which factors block the uptake and integration of decentralised CHP in the German Ruhr area's energy system? Methods: The multilevel perspective (MLP) was used to analyse the state of system innovation in relation to the uptake and integration of decentralised CHP technology. Prior to the MLP analysis, a stakeholders' analysis was conducted to identify stakeholders' views, positions and experienced barriers regarding the uptake and integration of decentralised CHP technology. Data collection included review of text documents and conducting 11 interviews.

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Section: Discussionmentioning

confidence: 99%

Decentralised combined heat and power in the German Ruhr Valley; assessment of factors blocking uptake and integration

Viétor¹,

Hoppe

Clancy

2015

Energ Sustain Soc

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“…Nevertheless, TBA shows good traceability, whereas transferability is not given due to customized analysis. The strengths of theory-based evaluation are the usefulness in niches were other approaches might fail as well as the property that they have a look at the cause-effect elements and that they can contribute to extent existing data [67,68]. In the meanwhile, the major drawbacks are that the size of a contribution of an intervention cannot be measured.…”

Section: Theory-based Evaluation For Renewable Energy Policy Modelingmentioning

confidence: 99%

“…The approaches of Harmelink et al [65], Harmelink et al [66], Murphy et al [67], and Abdul-Manan et al [68] are case studies representing the theorybased methodology. They were used to evaluate the methodology [65][66][67][68].…”

Section: Theory-based Evaluationmentioning

confidence: 99%

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Horschig

Thrän

2017

Energ Sustain Soc

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This study reviews energy policy evaluation approaches on their capability to estimate a successful implementation of renewable energy policies. This is predominantly done via energy system modeling and analysis. Although modeling the possible success and effects is not a precondition for policy making, it is a powerful tool to support decision makers in policy making. This awareness has led to the development of numerous modeling approaches with many case studies. Therefore, effort has to be made to evaluate recent modeling approaches that could be suitable for renewable energy policy evaluation. It is the aim of this paper to provide an overview on recent renewable energy policy modeling approaches that are capable in evaluating the success and side effects to other sectors of renewable energy policies. We will highlight advantages and drawbacks of these approaches and provide a framework assessing the suitability of the presented methodologies for the evaluation of renewable energy policies. We provide a tabular overview that enables the reader to quickly derive information on the suitability of the several modeling approaches to evaluate renewable energy policies. Keywords: Policy evaluation, Renewable energy, Policy modeling, Decision support ReviewIn 1980, the term Energiewende was first used in a study of the Öko-Institut [1]. Since then, several policies were installed to follow the idea of a decarbonized energy system. This includes among others the support of the development of renewable energy and associated technologies, efficiency actions, renewable fuels, reduced import independence from fossil fuels, rural development, the decrease of long-term economic costs in kind of external effects, and R&D support [2][3][4]. International Energy Agency (IEA) defines renewable energy as energy derived from natural sources like sunlight, wind or some forms of biomass in terms of being not finite like fossil fuels having simultaneously a smaller impact on the environment [5]. Interplay between renewable energies, energy efficiency like green buildings, and a sustainable transport sector is crucial for achieving the imposed goals of the German Government and the Energiewende. Renewable energy is characterized by replenishing at a faster rate than being consumed. Like Germany, several countries implemented strategies, policies, and stimulus packages to promote the transition towards a renewable energy system and increase their overall share of renewable energy in the energy system. However, increasing the share of renewable energy is often associated with sustainability challenges [6,7]. The key elements of a sustainable development like economic performance, environmental protection, and social responsibility need to be considered in designing or evaluating support schemes, policies, or stimulus packages. But the design and evaluation of renewable energy promoting policies is a difficult task considering the multiple aspects policy designers and decision makers have to consider. Governmental intervention...

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“…Policy means are a method of achieving an established purpose when a government formulates and implements policies. Murphy et al [52] found that the main means used to improve energy efficiency by the government of the Netherlands' were energy performance certificates, laws and regulations, economic means, such as loans, energy taxes, covenant and information tools. Zhang et al [41] found that the ECER policies in Chinese iron, steel and chemical industries were mainly focused on laws and regulations, tax policies, credit policies and government subsidies.…”

Section: Quantitative Criteriamentioning

confidence: 99%

Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China

Zhang

Gao

et al. 2017

Sustainability

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Abstract:To understand the general relationship between Energy Conservation and Emissions Reduction (ECER) policy means coordination (PMC) and economic growth, this paper quantitatively investigates the impact on economic growth of differing PMCs. ECER policies from 1978 to 2013 in China are quantified across two dimensions of policy power and policy means, and then, PMC degrees are designed as independent variables and incorporated into a modified Cobb−Douglas production model. While determining the cointegration relationships by using a unit root test, a cointegration test and a stability test, cointegration equation is conducted by using quantitative data to explore the economic growth effects of PMC in China. The government's use of PMC in China is also analyzed and ranked. The empirical results show that there is a long-term cointegration relationship among the variables from 1978 to 2013. Additionally, the effects of the different PMCs on economic growth show significant discrepancies and each PMC usage ranking is also found to be significantly different, thereby implying that the use of different PMCs by the Chinese government needs to be further perfected.

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A qualitative evaluation of policy instruments used to improve energy performance of existing private dwellings in the Netherlands

Cited by 83 publications

References 19 publications

Decentralised combined heat and power in the German Ruhr Valley; assessment of factors blocking uptake and integration

Decentralised combined heat and power in the German Ruhr Valley; assessment of factors blocking uptake and integration

Are decisions well supported for the energy transition? A review on modeling approaches for renewable energy policy evaluation

Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China

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