Papers by Déborah Leboullenger
A B S T R A C T In a new environment marked by the growing importance of Green House Gas emission... more A B S T R A C T In a new environment marked by the growing importance of Green House Gas emissions, fuel poverty, and energy efficiency in the different national agendas, the comprehension of energy demand factors appears to be crucial for the effectiveness of energy policies. We consider the latter could be improved by targeting specific household groups rather than looking to follow a single energy consumption level target. This article explores the scope of having a disaggregated energy consumption market to design policies aimed at curbing residential energy consumption or lowering its carbon intensity. Using a clustering method based on the CHAID (Chi Square Automatic Interaction Detection) methodology, we find that the different levels of energy consumption in the French residential sector are related to socioeconomic , dwelling and regional characteristics. Then, we build a typology of energy-consuming households where targeted groups (fuel poor, high income and high consuming households) are clearly and separately identified through a simple and transparent set of characteristics. This classification represents an efficient tool for energy efficiency programs and energy poverty policies, but also for potential investors, which could provide specific and tailor made financial tools for the different consumer groups. Furthermore, our approach helps designing some energy efficiency score that could reduce the rebound effect uncertainty for each identified household group.
Drafts by Déborah Leboullenger
Working Paper Economix (Paris Nanterre)
This paper aims to find evidence of a “green value” in a local housing market using notarial data... more This paper aims to find evidence of a “green value” in a local housing market using notarial data on a small urban area in France. We use frontier functions, an original approach that departs from customary hedonistic regressions, to model housing market prices as a production set bordered by an efficiency frontier estimated by Data Envelopment Analysis (DEA). The paper tests if difference in prices (i.e. the distance from the frontier) can be explained by energy performance measured as a normalized categorical ascending kWh/m²/year grade (or Energy Performance Certificate -EPC). We show that there is significative evidence for energy performance's market value. The “Green Property Value” is estimated to range between 1% and 3% of the price for medium-high performance buildings. Our findings are robust to the specifications of the first (frontier estimation) and the second stage (residual analysis). We then propose a cost-benefit analysis to evaluate the return on retrofit investment a household would get from higher market value. We find that housing green property value accounts for a part, between 4.6% in houses and 6.6% in collective dwellings, of the real terms investment in energy retrofit. We interpret our findings with regard to spatial dependencies that affect the market and the heterogeneity between the private and the public social housing stocks.
Uploads
Papers by Déborah Leboullenger
Drafts by Déborah Leboullenger