A simulation-based estimation model of household electricity demand and appliance ownership

Understanding how electricity demand is likely to rise once households gain access to it is important to policy makers and planners alike. Current approaches to estimate the latent demand of unelectrified populations usually assume constant elasticity of demand. Here we use a simulation-based structural estimation approach, employing micro-data from household surveys for four developing nations, to estimate responsiveness of electricity demand and appliance ownership to income considering changes both on the intensive and extensive margin. We find significant heterogeneity in household response to income changes, which suggest that assuming a non-varying elasticity can result in biased estimates of demand. Our results confirm that neglecting heterogeneity in individual behavior and responses can result in biased demand estimates

MESSAGEix-GLOBIOM Nexus Module: Integrating water sector and climate impacts

The Integrated Assessment Model (IAM) MESSAGEix-GLOBIOM developed by IIASA is widely used to analyse global change and socioeconomic development scenarios within the energy and land systems across different scales. However, until now, the representation of impacts from climate impacts and water systems within the IAM has been limited. We present a new nexus module for MESSAGEix-GLOBIOM that improves the representation of climate impacts and enables the analysis of interactions between population, economic growth, energy, land, and water resources in a dynamic system. The module uses a spatially resolved representation of water systems to retain hydrological information without compromising computational feasibility. It maps simplified water availability and key infrastructure assumptions with the energy and land systems. The results of this study inform on the transformation pathways required under climate change impacts and mitigation scenarios. The pathways include multi-sectoral indicators highlighting the importance of water as a constraint in energy and land-use decisions and the implications of global responses to limited water availability from different sources, suggesting possible shifts in the energy and land sectors.</p

fused NHTS-ACS-2017 data - fst format

Fusion of 5 select donor variables from NHTS 2017 to ACS 2017, fst format</p

fused CEI-2015-2019-ACS-2019 data - fst format

Fusion of 47 household consumption-expenditure and tax variables from CEI 2015-2019 (pooled) to ACS 2019, fst format</p

fused RECS-ACS-2015 data - csv format

Fusion of 12 select donor variables from RECS 2015 to ACS 2015, gzipped csv format</p

fused NHTS-ACS-2017 data - csv format

Fusion of 5 select donor variables from NHTS 2017 to ACS 2017, , gzipped csv format</p

fused AHS-ACS-2019 data - csv format

Fusion of 5 select donor variables from AHS 2019 to ACS 2019, gzipped csv format</p

fused AHS-ACS-2019 data - fst format

Fusion of 5 select donor variables from AHS 2019 to ACS 2019, fst format</p

fused CEI-2015-2019-ACS-2019 data - csv format

Fusion of 47 household consumption-expenditure and tax variables from CEI 2015-2019 (pooled) to ACS 2019, gzipped csv format</p

fused RECS-ACS-2015 data - fst format

Fusion of 12 select donor variables from RECS 2015 to ACS 2015, fst format</p