Supporting energy efficiency measures in the residential sector. The case of on-bill schemes

Bianco, Vincenzo; Sonvilla, Paolo Michele

doi:10.1016/j.egyr.2021.07.011

Cited by 20 publications

(9 citation statements)

References 32 publications

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“…The above highlights some issues related to the distribution modalities of public funding measures in support of renovation interventions and to the usage of other incentive measures, including new special urban planning tools (which originated in the 1980s, such as Urban Pilot Project, Urban and Urbact) and density bonus or tax reliefs to be arranged in combined ways, as well [10][11][12]. Despite the notable number of resources employed by the EU in the Next Generation EU [4] in support of the initiatives for the renovation of the European building stock, the ambitious goal to renovate 2% of the existing building stock per year needs to account for further incentive measures to encourage building renovation in parallel with direct public fundings.…”

Section: Introductionmentioning

confidence: 99%

The Assessment of Density Bonus in Building Renovation Interventions. The Case of the City of Florence in Italy

Battisti

Campo

2021

Land

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The European Green Deal indicates the renovation of both public and private buildings as a key element for the improvement of energy efficiency in the building stock, in order to reach the goals of the document itself. New incentives, also including density bonus, can significantly contribute to foster diffuse actions. In Italy, the density bonus is under testing: the current framework has produced profitability for regeneration in some areas and unprofitability in others. This has led to a non-diffuse renewal, widening differences in richness and quality throughout territories subjected to the same reward measure. A territory is characterized by a high degree of typological and qualitative fragmentation and dissimilarity. Thus, the aim of the present work is the construction of a model that allows for identifying the entity of the reward measure in terms of density bonus. Density bonus can determine the feasibility of renovation interventions—in economic-financial terms and in relation to urban impact—taking into account the characteristics of the context (or micro-context) where they are performed. The research model is based on a Balance Sheet Model and is applied to the city of Florence. The model suggests an innovative approach where urban, landscape and environmental impacts produced by the density bonus are evaluated according to the economic amount needed for their mitigation. The expected results in the application of the model consist in the definition of an iso-bonus map organized by areas.

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Section: Introductionmentioning

confidence: 99%

The Assessment of Density Bonus in Building Renovation Interventions. The Case of the City of Florence in Italy

Battisti

Campo

2021

Land

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“…In a recent study, Lades et al (2021) pointed out that energy efficiency projects had an investment problem that required significant subsidies from governments to private participants. The lack of appropriate instruments to promote energy efficiency projects has been addressed by other scholars, such as Brown et al (2020), Polzin and Sanders (2020), Bianco and Sonvilla (2021), Ji et al (2021) and Jalo et al (2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The lack of appropriate instruments to promote energy efficiency projects has been addressed by other scholars, such as Brown et al. (2020), Polzin and Sanders (2020), Bianco and Sonvilla (2021), Ji et al. (2021) and Jalo et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing the green financing and energy efficiency relationship in ASEAN

Quang

Thao

2022

JRF

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PurposeThe need to improve energy efficiency as an essential factor for achieving the Sustainable Development Goals (SDGs) through green financing is one of the most important issues worldwide. It is even more important for ASEAN (Association of Southeast Asian Nations) countries because of their potential for economic growth and the challenge of their environmental problems. This paper therefore addresses the question of whether and how green finance (with the proxy of issued green bonds [GBs]) promotes energy efficiency (with the proxy of energy intensity) in the ASEAN member countries.Design/methodology/approachThe paper runs a two-stage generalized method of moments (GMM) system model for the quarterly data over the period 2017–2020. It also uses a linear interaction model to explore how the pandemic may affect the relationship between green finance and energy efficiency in this region.FindingsThe main results only demonstrate the short-term negative impact of GBs on energy intensity. Furthermore, per capita income, economic integration and renewable energy supply can be used as potential variables to reduce energy intensity, while modernization in ASEAN increases energy intensity. Establishment of digital green finance, long-term planning of a green finance market, trade liberalization and policies to mitigate the negative impacts of COVID-19 are recommended as golden policy implications.Research limitations/implicationsThe present study has several limitations. First, it accounts for explanatory variables by following a number of previous studies. This may lead to omissions or errors. Second, the empirical estimates were conducted for 160 observations due to the repositioning of GBs in ASEAN, which is not bad but not good for an empirical study.Originality/valueTo the best of authors' knowledge, there has not been any in-depth study focusing on the relationship between energy efficiency and green financing for the case of ASEAN economies.

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“…Subsidies to reduce the price of modern fuels have been used as an accelerator of energy transition by several countries [41]. Similarly, implementing energy efficiency measures is one of the key drivers supporting household energy transition [49].…”

Section: Guhet Scenariosmentioning

confidence: 99%

Towards a Systemic Assessment of Gendered Energy Transition in Urban Households

Musango

Bassi

2021

Energies

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Assessment of gendered energy transition at an urban scale has emerged as a challenging issue for researchers, policy makers and practitioners. With municipalities becoming players in the energy markets, their involvement raises policy issues that need to be better assessed in supporting gendered energy transition. This paper, therefore, contributes to gendered energy transition assessments at urban household level from a policy maker perspective. We developed a system dynamics model to assess the effects of urban energy policy interventions on household energy consumption and gendered measures using Drakenstein Municipality as a case study. The study used secondary data from various sources for the model parameters. We tested three hypothetical policy scenarios: the business-as-usual, the energy subsidy policy and the energy efficiency policy. The results show that understanding the changes in urban household energy consumption and gendered measures due to energy transition interventions is essential for urban policy planning. The energy subsidy policy scenario was observed to increase total energy consumption but also resulted in socio-environmental impacts that might increase inequality and impair human health. Urban household energy transition interventions need to consider a systems approach to develop decision support tools that capture the cross-sector impacts and inform the development of interventions that promote gendered household energy transition.

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Supporting energy efficiency measures in the residential sector. The case of on-bill schemes

Cited by 20 publications

References 32 publications

The Assessment of Density Bonus in Building Renovation Interventions. The Case of the City of Florence in Italy

The Assessment of Density Bonus in Building Renovation Interventions. The Case of the City of Florence in Italy

Analyzing the green financing and energy efficiency relationship in ASEAN

Towards a Systemic Assessment of Gendered Energy Transition in Urban Households

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