Characterization of investments profiles on the energy transition for european citizens

Name: Characterization of investments profiles on the energy transition for european citizens

Summary: The dataset contains: (1) surveyee consent form for the study, (2) different scenarios about the energy transition, (3) determinant factors about those scenarios, (4) socioeconomic description of the surveyee, (5) investment decisions, (6) and household characterization/description. 

License: cc-BY-SA

Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.

Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European commission (Ec). EASME or the Ec are not responsible for any use that may be made of the information contained therein.

Collection Date: 22/07/2022

Publication Date: 15/10/2023

DOI: 10.5281/zenodo.4455198

Other repositories:

Author: University of Deusto

Objective of collection: This data was originally collected to analyze quantitatively the decisions of everyday people in relation to their energy consumption and their reactions to specific political interventions.

Description: The dataset contains a ODS spreadsheet file containing data collected from a survey about energy consumption investments. The fields that can be found for each entry are (1) Different scenarios about the energy transition and reactions to those scenarios, (money spent on energy investments, decisions about scenarios, actions taken under a blackout, etc.) (2) Determinant factors about the chosen scenarios in the previous question, which include different choices that could affect your decision about a scenario (3) socioeconomic information about the user (age, country of residence, studies), (4) estimation of the prices of various technologies related to the energy transition and (5) descriptive statistics about the household living situation (gender of user, people living in household, yearly rent, average savings per month, type of house, size of house) and also includes questions about climate change expertise. Next you can found a description of each field in the dataset

Section 1 - Scenarios for energy transition.

ID90. Rank in order of priority, from top to bottom, in which scenario you will be willing to live or to contribute/invest to make it possible. 

ID36, ID38, ID43, ID44, ID72. Percentage of money people are willing to spend/save out of their income per scenario

ID191, ID192.. Amount of money people would spend based on an assumed case.

ID191, ID192. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority for you and 10 stars means it is absolutely necessary for you.

[ID325, ID326, ID327, ID328, ID329, ID330, ID331, ID332, ID333, ID334, ID335, ID336, ID337, ID338, ID339, ID340, ID341, ID133, ID242]. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.

[ID251, ID256, ID257, ID292, ID293, ID294, ID295, ID296, ID297, ID298, ID299, ID301, ID302, ID303, ID304, ID305, ID306, ID250, ID251]. Priority service provision in case of full black-outs. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.

[ID141, ID5, ID147]. Used for statements that best represent survey responder

Section 2 - Determinants (factors). Questions used to rate (from 0 to 100) factors that may influence the decision-making process contributing to make an ideal scenario possible.

ID100 Risk profile

ID101 Added value

ID102 Self-Satisfaction

ID103 Technical Fit

ID104 Own competence

ID105 Knowledge

ID106 cost-Efficiency

ID107 Safety

ID108 Trust

ID109 Autarky

ID110 Legal

ID111 climate protection

ID112 Wellbeing

ID113 Coziness

ID114 Rights and Duties

ID115 Peer-Pressure

ID116 Socialising

ID117 Support

ID118 Agreement

ID119 Brag

ID120 Fun

ID121 Novelty

ID122 Trends

ID123 Authority

ID124 Own Significance

ID125 Poseur

ID2 Frugality

ID3 Environmental concerns

ID31 Adherence

ID52 Commitment

ID97 Profits

ID99 Credit Score

Section 3 - “Socio-economic” description. Questions about the socio-economic information of the survey respondents for data stratification. The indentation represents the dependency of questions and whether this data was asked

ID164 Understanding of questions

ID300 Country of residence

ID137 Age

ID178 Highest level of education

ID136 Willingness to provide data on the investment decision (respond apply for -Investment decision section)

Section 4 - Investment decision. Questions about specific prices of potential purchases-decisions related to four scenarios (respondent's lifestyle)

Appliances

ID42 Affordable cost of a Regular refrigerator

ID45 Energy efficient refrigerator costs

ID50 Willingness to purchase an energy efficient refrigerator

ID65 Why no

ID66 affordable cost of an energy efficient option

ID67 Years to amortize an efficient option

Insulation

ID47 Affordable cost of updating to a state of the art insulation on the facade

ID56 Willingness for paying/invest

ID74 Why no?

ID20 affordable cost of an energy efficient option

ID34 Years to amortize an energy efficient option

Energy Generation

ID68 Affordable cost of a solar photovoltaic system

ID76 Willingness for paying/invest

ID84 Why no?

ID132 Affordable cost of a photovoltaic system

ID138 Years that amortize a  photovoltaic system

Energy Storage

ID142 Affordable cost of an energy storage system

ID146 Willingness for paying/invest

ID181 Why no? 

ID182 Affordable cost of an energy storage system 

ID183 Years that amortize an energy storage systems

Heating

ID140 Affordable cost of a gas boiler

ID209 Affordable cost of an energy efficient heating system

ID217 Willingness for paying/invest

ID238 Why no?

ID239 Affordable cost of a energy efficient option

ID241 Years that amortize a heat pumps

Mobility

ID41 Average kilometers traveled a typical day

ID51 Usual travel option

ID264 Affordable cost of a diesel or gasoline mid-range brand new car

ID265 Affordable cost of a mid-range brand new electric car

ID281 Willingness to buy an electric car

ID289 Why no?

ID290 Affordable price of an electric car

ID291 Years that amortize an electric car

Section 5 - Household characterization

ID127 Selecting an asked value

ID189 Type of living area

ID202 Gender identity

ID1 Those living in the house

ID32 Number of inhabitants

ID220 Average neat yearly income

ID229 Average monthly saving

ID240 Type of housing

ID249 Owner / co-owner

ID255 Usable area of the property (m²)

ID263 Insulation level

ID270 Climate zone

ID86 Level of self-awareness about climate change. On scale of 0-10, where 0 is “climate change does not exist” and 10 is “I am a climate change expert/activist”

ID87 Level of awareness of climate change among your peers or relatives, On a scale of 0-10, where 0 is “climate change does not exist” and 10 is “They are climate change experts/activists”

ID88 Level of self-awareness about  energy transition. On a scale of 0-10, where 0 is “It is the first time I hear about it” and 10 is “I am an expert or activist”

ID89 Level of awareness of energy transition among your peers or relatives On a scale of 0-10, where 0 is “It is the first time they hear about it” and 10 is “They are experts or activists”

ID190 feedback about survey

5 star: ⭐⭐⭐

Preprocessing steps: anonymization, data fusion, imputation of gaps.

Reuse: NA

Update policy: No more updates are planned

Ethics and legal aspects: Spanish electric cooperative data contains the CUPS (Meter Point Administration Number), which is personal data. A pre-processing step has been carried out to substitute the CUPS by a random value hash.

Technical aspects: 

Other: