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This study aims to unveil the heterogeneous impacts of import product diversification and institutional factors for achieving energy efficiency in Organization for Economic Co-operation and Development (OECD) countries. In doing so, the study employs robust econometric techniques such as Fully modified ordinary least squares (FMOLS) co-integration, pooled Ordinary Least Squares (OLS), Feasible Generalized Least Squares (FGLS), pool mean group regressions, fixed effects, and random effects for panel data from 1990 to 2015 for selected OECD countries. The detailed empirical outcomes suggest that import product diversification is conducive to reducing the energy and carbon intensity (improvement in energy efficiency) in OECD countries. The empirical conclusions provide various guidelines to achieve cleaner and greener growth and align with various Sustainable Development Goals (SDG 7: Affordable and clean energy, SDG 9: Industry, innovation, and infrastructure, and SDG 13: Climate action) of OECD countries. The paper elaborates fruitful policy suggestions regarding the diversification of imports and energy use-carbon emission-nexus for the OECD member nations. Based on the findings, policymakers and environmental scientists should strengthen the trade-energy and import portfolio policies to attain energy efficiency. [ABSTRACT FROM AUTHOR]

Energy efficiency measures are a key element in the fight against climate change. However, their effectiveness is threatened by so-called rebound effects—behavioral changes that lead to increased use and thus to lower-than-expected absolute savings. The moral licensing bias might cause rebound effects on the individual level: When people implement energy efficiency measures, they may feel that they have done something good for the climate and thus license themselves to less climate-friendly behavior later on. We test this prediction with three pre-registered experiments (total n = 2315). While our manipulated efficiency does increase the feeling of having done something good for the climate, no negative effects emerge on subsequent climate-friendly behavior—contrary to the predictions derived from the moral licensing literature. Climate-friendly behavior is thus not hampered by prior energy efficiency behavior; rather, demographics (women and older people act in a more climate-friendly manner) and environmental attitude determine it. Our results imply that the literature suggesting moral licensing is probably not transferable to the field of energy efficiency, and thus moral licensing may not lead to rebound effects in this context. We discuss possible explanations, implications for climate policy making, and needs for future research. [ABSTRACT FROM AUTHOR]

The sustainability paradigm has gained global attention, and the same has been expected from the economies having increasing levels of environmental footprints over the past couple of decades. This research aims to investigate the nexus between clean energy technologies and climate change mitigation among the top ecologically pollutant (TEP) economies during 1996–2020. The research incorporated other drivers of climate change, including energy efficiency, industrialization, and sustainable policies through environmental regulations. The methodological context covers the necessary preliminary tests and the Method of Moment Quantile Regression (MMQR). The preliminary results indicate that TEP economies are interdependent with the heterogenous slope coefficients, stationarity data trends, and cointegrated relationships. The findings from the MMQR unveiled that clean energy technologies tend to mitigate climate change from 0.10th to 0.70th quantiles. Relatedly, energy efficiency reduces the environmental burden across all the quantiles except for the 0.10th one. Conversely, industrialization and economic growth cause an upward shift in climate change among TEP economies across all the quantiles, suggesting a need to shift production-based economies to more service-intensive ones. However, the study found no significant evidence for the nexus between sustainable environmental policies and climate change. The robustness checks also validate the MMQR estimations; however, their parameters' magnitude substantially varied. These outcomes encourage policymakers to implement holistic strategies supporting energy innovation, technologies, and efficiency improvements while controlling the adverse effects of industrialization and traditional growth models. [Display omitted] • Mitigating climate change needs a universal call. • A novel approach, MMQR, has been applied. • Both clean energy technologies and energy efficiency reduce ecological footprints. • Industrialization and economic growth disturb the sustainability paradigm. [ABSTRACT FROM AUTHOR]

• Building electrification is a key decarbonization strategy. • Two districts of commercial buildings in San Francisco were modeled. • Impacts of electrification on building performance depend on baseline systems and efficiency. • Energy efficiency upgrades can significantly reduce energy use and peak electric demand. • Combining electrification and energy efficiency upgrades is recommended for decarbonization. Rapid electrification of buildings at the district scale is needed for cities to achieve climate change mitigation goals. However, most electrification studies focus on either the single building level or the city/region building stock level, and depend on the slow and uncertain process of requesting personally identifiable customer energy usage data from utilities. To answer a key question facing local policymakers: "Where can electrification proceed at scale without first upgrading the grid?" this study aims to quantify and inform building electrification impacts at the district scale using detailed building energy modeling and based on public records datasets. We explore how energy efficiency retrofits can help mitigate increased peak electric demand, and quantify impacts to energy use and carbon emissions. Building energy models of a baseline, and scenarios of simple electrification, energy retrofits, and electrification in combination with retrofits were created and simulated for 54 commercial buildings in two contiguous districts of San Francisco. A simple electrification scenario increased annual electricity consumption but reduced annual site energy usage by 15% to 17%, mainly due to replacing inefficient gas furnaces and boilers with more efficient heat pumps. Peak demand increased 7.4% for Fisherman's Wharf (e.g. within the capacity of the existing power grid), while the Design District showed a marginal decrease. Annual carbon emissions were reduced by 46% and 37%. Combining electrification with efficiency upgrades reduced peak demand by 26% and 40%, and annual carbon emissions by 63% and 64% for the two districts. These results indicate that impacts of electrification depend on the mix of building uses within a district, and coupling electrification with energy efficiency upgrades is an effective strategy to decarbonize buildings while maintaining or reducing the peak electric demand. [ABSTRACT FROM AUTHOR]

Energy efficiency in buildings remains an important priority for the European Union. Towards that direction, therole of the one-stop-shops (OSSs) that will offer integrated renovation services has been further enhanced. Thepaper aims to compare public and private-driven OSSs to increase knowledge regarding the way they operate.The business models of ten OSSs for renovation of residential buildings, operating in six European countries havebeen analysed, and further evaluated for their engagement in the critical moments of the renovation customerjourney. Findings show that the majority of examined OSSs have managed to reach some level of standardizationin the way they deliver their service. Additionally, the examined OSSs appear to be engaged in the critical momentsof the renovation customer journey, which can attract the interest of potential customers. Public-drivenOSSs appear to operate smoother in the renovation market and offer services that are considered crucial for theirpotential customers. Their viability though in the absence of public funding needs to be further examined. On theother hand, private-driven OSSs are called to deal with greater challenges in their effort to consolidate their presencein the renovation market. Providing access to financing remains a challenge for private-driven OSSs, whichto attract more customers resort to value additions to their service, which might affect their viability. The studyprovides valuable information and insights about OSSs in operation that could be useful to stakeholders that areactive in the renovation market or interested to enter it. • Analysis of ten one-stop-shop business models for residential building renovations operating in six European countries. • Operational modality of public and private driven OSSs has been critically reviewed and compared. • Public-driven OSSs appear to operate smoother in the renovation market offering services that are considered crucial by customers. • Private-driven OSSs are dealing with greater challenges in trying to consolidate their presence in the renovation market. • Private-driven OSS build trust with their customers by engaging in specific "critical moments" of the renovation journey and by adding value to their service. [ABSTRACT FROM AUTHOR]

To illustrate the power and utility of macro-level decomposition tools, this article presents a structured comparison of two all-sector global modeling exercises that assess emissions reductions compatible with climate stabilization at roughly 1.5C above pre-industrial levels. It uses an expanded Kaya Identity combined with the LMDI (Logarithmic Mean Divisia Index) method to decompose the effects of key drivers of changes in emissions over time in these scenarios. The most important drivers of emissions reductions include final energy intensity of economic activity, the fraction of primary energy delivered by fossil fuels, and emissions from non-CO 2 warming agents. Land-use change and the carbon intensity of fossil energy are also important. The article suggests additional data modelers should release to allow more rapid analysis of results and ways to facilitate cross-study comparisons (such as adopting "best of breed" sectoral models instead of relying solely on in-house expertise for model development). Global change; Climate change; Emissions reduction modeling; Model comparisons; Energy resources; Environmental policy; Environmental technology; Energy Policy. • Detailed decomposition analysis gives visibility into key drivers and model structure. • Key drivers include energy intensity, fossil fuel fraction, and non-CO 2 warming agents. • Analyzing "edge cases" can help suggest superior technology/policy combinations. • Analyzing "edge cases" can help demonstrate the limits of feasible climate mitigation. • "Best of breed" sectoral models are an essential complement to IAMs. [ABSTRACT FROM AUTHOR]

The European Union has relied upon information symmetry theory to foster decarbonization of existing buildings in cities under the hypothesis that efficient buildings receive a market premium. Hedonic analysis of housing prices across European cities suggests the existence of such a premium; while opinion-based research concludes that households pay scarce attention to energy performance when letting or buying a home. These approaches render inconclusive evidence regarding the role of energy-information symmetry as public policy in climate change mitigation through market prices. Since energy-efficiency attributes are contingent on the architectural quality of homes, poor control of the latter in hedonic models may bring biased conclusions regarding the former. The main contribution of this piece is to improve the control of these non-energy attributes using a visual inspection of listed apartments in Madrid and Barcelona. Results suggest that the energy-efficiency price premium completely disappears when other quality attributes are considered in full. This finding has large implications for energy and city policies. • Energy performance impact on housing prices fades out when controlling for architectural quality in Madrid and Barcelona. • Insufficient control of architectural quality may inflate the marginal price of energy efficiency in hedonic models. • Omitting the relationship between energy performance and homes' quality attributes may inflate hedonic agenda's results. • Administrative data sets used in hedonic models may be complemented by self-assessed quality attributes. • In Spain, the EPC scheme seems to fail in providing price differentiation in the residential market. [ABSTRACT FROM AUTHOR]

[Display omitted] • Deep decarbonisation requires a transformation of the capital stock. • The mutualistic capital–energy relationship is mapped for the US economy. • US capital assets have grown since ∼2004 without increased primary energy use. • Investment in lower energy-intensity intellectual property products has grown. • Energy-intensity of capital use fell in the residential and manufacturing sectors. Energy in economies is required both to build the stock of capital assets, and to produce goods and services from use of the stock. Decarbonization involves: changing the capital assets for producing energy; building and using capital with greater energy efficiency; and changing the distribution and characteristics of asset types in the capital stock. From 2004 to 2019, US capital assets grew by 24%, while primary energy consumption remained relatively unchanged. Here we examine the relationship between capital and energy in the US economy to understand how this growth occurred without increased energy use. The method involves mapping of energy use and greenhouse emissions onto four broad categories of capital stock, employing environmentally-extended input–output analysis and time-series data from a variety of sources. Result show that intellectual property products, with an energy intensity of 2.9 TJ / $million of investment, grew as a proportion of the capital stock relative to structures (7.0 TJ / $million) and equipment (6.9 TJ / $million). Meanwhile the energy intensity of using capital decreased in the residential sector and in all nineteen manufacturing sectors. The study connects strategies for decarbonization of the US economy in a concise and consistent framework, with turnover of the capital stock providing opportunities for both energy efficiency and decarbonization. [ABSTRACT FROM AUTHOR]

The world needs to rapidly reduce emissions of carbon dioxide (CO 2) emission to stave off the risks of disastrous climate change. In particular, decarbonizing U.S. manufacturing industries is particularly challenging due to the specific process requirements. This study estimates the potential for future CO 2 emission reductions in this important sector. The analysis is a detailed accounting exercise that relies on estimates of emission-reduction potential from other studies and applies those potentials to the manufacturing sector using a bottom-up approach. The actions are grouped into four "pillars" that support deep decarbonization of manufacturing (DDM): Energy Efficiency, Material Efficiency, Industry-Specific, and Power Grid. Based on this bottom-up approach, the analysis shows that an 86% reduction in carbon dioxide emissions from the Reference Case is feasible. No single pillar dominates DDM, although opportunities vary widely by sub-sector. The analysis shows that a strategy incorporating a broad set of elements from each pillar can be effective instead of relying on any single pillar. Some pillars, such as Energy Efficiency and Material Efficiency, have wide applicability; others have key niche roles that are Industry-Specific; the Power Grid pillar requires interaction between grid decarbonization and industry action to switch from fossil fuels to zero-carbon electricity where appropriate. [Display omitted] • Four technological strategies ("pillars") for deep decarbonization of U.S. manufacturing are investigated. • Seven energy-intensive and one non-energy-intensive industries are examined separately. • An 86% reduction in energy related CO 2 emissions is feasible in U.S. manufacturing by 2050. • No single pillar dominates implying a diversified approach to decarbonization is needed. • Some emissions remain in select industries, in particular chemicals. [ABSTRACT FROM AUTHOR]

In view of advancing global warming, climate change adaptation and mitigation measures for buildings are becoming increasingly important. The following article discusses the question of whether current urban planning principles still provide a suitable framework for this purpose. Therefore, the aim of this paper is to identify and quantify the main parameters of the urban planning framework regarding energy demand and energy generation of buildings. In a novel, holistic approach, passive design measures were evaluated in a joint analysis based on a case study in the city of Vienna (Austria) with respect to their impact on heating and cooling energy demand, overheating potential, daylight availability, and solar potential of new buildings. The results show that by improving the thermal insulation of the building envelope, the importance of a high compactness of the buildings to lower the heating energy demand is decreased. In addition, moderate compactness can help reduce the energy demand for space cooling and artificial lighting and increase the solar potential of the buildings. Accordingly, the results question the dogma of a high degree of compactness that still exists to some extent and indicate that changing climatic conditions also require new approaches in the urban planning process. [ABSTRACT FROM AUTHOR]

The impact of energy use on the planet due to related CO 2 emissions is continuously increasing, despite the adoption of efficiency and decarbonisation policies and widespread environmental awareness. Climate change mitigation will only succeed if the driving forces of consumption and emissions are deeply analysed, and effective means are provided to reverse their trends. To this aim, the Kaya Identity framework is revisited to classify indicators and decomposition studies in the literature. A comprehensive pyramid approach is proposed for the progressive disaggregation and discussion of energy and emissions changes. The approach is applied to the OECD and non-OECD to provide meaningful regional analysis of past trends and future projections according to stated policy intentions. Results show that a hopeful change has already begun in the developed region due to a sustained decrease of the energy intensity and a promising reduction of the carbon intensity. Emerging economies follow the performance of developed nations since 2013, held back by later economic development. Activity slowdown, energy conservation, renewable electrification, efficient power plants and coal phase out appear as the keystones for decarbonisation. As a result, emissions stabilisation could have already been achieved as rises in emerging countries are offset by drops in developed nations. However, more stringent climate policies, especially targeting carbon drivers, are urgently needed to enable emissions reductions compatible with a global temperature increase of 1.5°C. • Classification of indicators and studies in the framework of Kaya Identity. • Definition of an Emissions Indicators Pyramid for analyses standardisation. • Activity slowdown and cleaner electricity drive emissions drop in the OECD since 2007. • Hopeful efficiency and carbon intensity changes in developing nations since 2013. • Energy intensity must be halved and carbon intensity quartered in 2040. [ABSTRACT FROM AUTHOR]