The willingness to accept environmental fees in Poland

Last registered on September 08, 2022

Pre-Trial

Trial Information

General Information

Title
The willingness to accept environmental fees in Poland
RCT ID
AEARCTR-0009482
Initial registration date
August 02, 2022

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
September 08, 2022, 12:39 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Institute for Structural Research

Other Primary Investigator(s)

PI Affiliation
Institute for Structural Research
PI Affiliation
Institute for Structural Research
PI Affiliation
Institute for Structural Research

Additional Trial Information

Status
In development
Start date
2022-08-08
End date
2022-09-19
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We measure the willingness to pay for policies aimed at achieving climate change mitigation and energy security goals. These policies are set in the context of the residential energy and transport sectors in Poland. As of the 2020s, the Polish economy was one of the most fossil-fuel dependent in the EU. The residential sector accounted for one of the largest shares of energy consumption (29%), followed by transport (24%). Almost 50% of all households used individual heating sources, usually based on ineffective, solid fuels. Additionally, Poland’s car fleet was the oldest and sixth largest in the EU. Old cars were important contributors to air pollution, particularly in areas with a high density of transport networks. Finally, energy security has become a more pressing issue since the Russian invasion of Ukraine in February 2022. As Poland remained a major importer of Russian oil and gas, the uninterrupted supply of fuels (and prices) became a public concern. Taking into account the institutional setting in Poland, we study the willingness to pay for four attributes: (1) mitigation of climate change impacts (2) decrease in the mortality rate due to poor air quality (3) limited imports of gas and oil from Russia (4) uninterrupted availability of energy supply. We use the experiment to evaluate if achieving support for climate policy goals is more viable by environmental (attributes 1-2), or energy security (3-4) framing. We use the experiment to evaluate the acceptance of the introduction of environmental fee systems (e.g. a carbon tax or emission trading).
External Link(s)

Registration Citation

Citation
Frankowski, Jan et al. 2022. "The willingness to accept environmental fees in Poland." AEA RCT Registry. September 08. https://doi.org/10.1257/rct.9482-1.0
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Experimental Details

Interventions

Intervention(s)
Discrete choice experiment - study participants (aged 18-64) will choose between hypothetical policy solutions aimed at climate mitigation and energy security. The choice tasks are random and differ in terms of attributes and their levels.
Intervention Start Date
2022-08-08
Intervention End Date
2022-09-16

Primary Outcomes

Primary Outcomes (end points)
Willingness to pay (WTP) for four attributes:
1) mitigation of climate change impacts (2) decrease in the mortality rate due to poor air quality (3) limited imports of gas and oil from Russia (4) uninterrupted supply of energy.
Primary Outcomes (explanation)
Willingness to accept policies (e.g. carbon taxes, emission trading systems). Willingness to pay for particular attributes (1-4).

Secondary Outcomes

Secondary Outcomes (end points)
Heterogeneity of outcomes in terms of gender, education level, place of residence, the main source of heating, number and type of vehicles, occupation, incomes, energy expenditures, beliefs about climate change, beliefes about energy security, political preferences and trust in political institutions.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We set the experiment in the context of the residential energy sector in Poland. We study the willingness to pay for four attributes: (1) mitigation of climate change impacts (2) decrease in the mortality rate due to poor air quality (3) limited imports of gas and oil from Russia (4) uninterrupted supply of energy. We use the experiment to evaluate if achieving support for climate policy goals is more viable by environmental (attributes 1-2), or energy security (3-4) framing. We use the experiment to evaluate the acceptance of the introduction of environmental fee systems (e.g. a carbon tax or emission trading). We differentiate the policies between status quo (no policy), carbon tax + universal basic income and carbon tax + subsidy for home-based renewable energy solutions.
The study is based on an internet survey (CAWI). In the first part of the survey, we collect basic information about participants’ socio-demographic characteristics. Afterwards, we introduce a discrete choice experiment and ask all participants to state their preferences over hypothetical policy solutions comprised of four attributes with three levels each:
(1) mitigation of climate change impacts (a. Severe [large drop in agricultural production; substantial threat to human life due to heatwaves, floods and droughts]; b. Moderate [moderate drop in agricultural production; some threat to human life due to heatwaves; floods and droughts]; c. Mild [the most severe impacts of climate change are prevented; some effects of global warming present however not severe])
(2) decrease in the mortality rate due to poor air quality (a. No change [50,000 deaths per year]; b. Limited by half [25,000 deaths per year] c. Limited to a minimum [5,000 deaths per year]).
(3) limited imports of gas and oil from Russia (a. No change [imports of 20 billion m3 of gas and 30 million tons of oil annually]; b. Limited by half [imports of 10 billion m3 of gas and 15 million tons of oil annually]; c. Limited to zero [no imports of gas or oil]
(4) uninterrupted supply of energy (a. No change; b. Limited access [at least one outage between 7-10 a.m. per week, two Sundays per month without driving a car]; c. Minimum access [at least one outage between 7-10 a.m. and 6-9 p.m. per week, all Sundays without a car])
Each study participant will see five screens.
On each screen, there will be options for two public policies: a status quo (no policy implemented) and a new policy.
Each pair of policies will vary in terms of four attributes: the five mentioned above and the expected gain/loss from the introduction of the policy. The set of number attributes will be selected randomly (with equal probability).
The expected gains/losses from the introduction of the policies will be randomized (uniform distribution) in the range of {-24%,-20%,-16%,…,0,…,16%,20%,24%} deviations, taking into account the incomes and energy expenditures of the particular individual.
After the experimental part, we will collect additional information on political preferences and trust in institutions.
Experimental Design Details
Randomization Method
Randomization done by a computer system used to prepare the experiment. Each respondent will see five sets of two vignettes with attributes with a randomly selected level (1-3, with equal probabilities).
Additionally, in each vignette in a set of five, one vignette (randomly, with equal probabilities) will be a "status quo" option (with a cost/benefit of "0") and one (randomly, equal probability) will be either "tax + cash benefit" or "tax + subsidy" and a random value of cost/benefit drawn from a set of {-24%,-20%,-16%,…,0,…,16%,20%,24%} (with equal probabilities).
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Choices clustered at the level of 10,000 indivudals
Sample size: planned number of observations
10,000 individuals responding to five choice tasks, 50,000 observations.
Sample size (or number of clusters) by treatment arms
There is no division into treatment and control group. 10,000 individuals recieve five choice tasks each. The tasks are random as well as the attribute levels.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Komisja Rektorska ds. Etyki Badań Naukowych z Udziałem Człowieka Uniwersytetu Warszawskiego
IRB Approval Date
2022-07-08
IRB Approval Number
156/2022

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials