Mexico Building Energy Efficiency Systems Market Data

• https://publications.iadb.org/en/how-effective-energy-efficient-housing-evidence-field-experiment-mexico

Davis, Lucas, et al. (2020). Replication Data for: How Effective is Energy-efficient Housing?: Evidence From a Field Experiment in Mexico. IDB Open Data. https://doi.org/10.60966/qv9w-jw96

1. English

What does this Mexico energy-efficient housing dataset measure?

This dataset provides replication data from a residential energy-efficiency field experiment in Mexico. It supports analysis of how energy-efficient housing technologies relate to indoor temperature, humidity, electricity use, household conditions, and resident perceptions of thermal comfort.

Where was the ECOCASA energy-efficiency study conducted?

The study was conducted in the Los Héroes de Capellanía housing development in García, Nuevo León, Mexico. The data are most useful for researchers studying household-level energy outcomes in this residential setting, not for national market sizing.

What types of energy-efficiency technologies are covered?

The dataset includes information related to residential energy-efficiency features such as wall insulation, window shading, passive ventilation or wind extractors, air-conditioning systems, and thermostats.

Can the dataset be used to study household electricity consumption?

The dataset includes electricity-related variables, including meter readings and household survey questions about electricity service and payments. Analysts can use these data to examine household electricity use in relation to housing characteristics and energy-efficiency interventions.

Does the dataset include indoor temperature and humidity data?

Temperature and humidity measurements were collected from sensors installed in participating homes. These data can help researchers evaluate whether energy-efficiency technologies improved indoor thermal conditions.

Can policymakers use this dataset to evaluate energy-efficient housing programs?

Yes. The dataset can support policy analysis of residential energy-efficiency interventions, particularly regarding household comfort, electricity use, technology adoption, and willingness to pay for energy-saving improvements.

Does the dataset include socioeconomic and demographic variables?

The survey data include household and individual-level information such as household composition, education, labor income, non-labor income, housing characteristics, and appliance ownership. These variables can help analysts examine whether energy-efficiency outcomes vary across household types.

Can the dataset help assess air-conditioning use in Mexican homes?

The survey asks whether homes have air conditioning, where the system is located, whether windows are open or closed when the system is on or off, whether the system has a thermostat, and whether the thermostat is used to regulate temperature automatically.

Does the dataset measure willingness to pay for energy-efficiency upgrades?

Yes. The survey asks whether households would be willing to pay for construction technologies that could reduce electricity spending by 20% or lower the indoor temperature by five degrees on a hot day. These variables can support policy research on adoption barriers and household demand for energy-efficient housing improvements.

What are the main limitations of the dataset?

The dataset is geographically specific, focused on residential housing, and based on a field experiment rather than a national market survey. It does not cover commercial buildings, vendor market share, national smart-building adoption, green certification trends, or future market forecasts.

How can policymakers use this dataset?

Policy makers can use the dataset to study whether residential energy-efficiency technologies improve household comfort, reduce electricity demand, and generate benefits that households value. It can also inform housing policy discussions around insulation, passive cooling, shading, ventilation, and affordability of energy-efficient upgrades.