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          <titl xml:lang="en">SEAI Survey of Irish Attitudes to Wind and Solar Power, 2022</titl>
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        <titl xml:lang="en">SEAI Survey of Irish Attitudes to Wind and Solar Power, 2022</titl>
        <IDNo xml:lang="en" agency="DOI">doi:10.7929/ISSDA/UDPZTG</IDNo><IDNo xml:lang="en" agency="ISSDA">0084-01</IDNo>
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        <AuthEnty affiliation="Sustainable Energy Authority of Ireland (SEAI)" xml:lang="en">Roux, Jean-Pierre
        </AuthEnty><AuthEnty affiliation="Sustainable Energy Authority of Ireland (SEAI)" xml:lang="en">Mak, F.
        </AuthEnty><AuthEnty affiliation="Sustainable Energy Authority of Ireland (SEAI)" xml:lang="en">Holland, M.
        </AuthEnty><AuthEnty affiliation="Sustainable Energy Authority of Ireland (SEAI)" xml:lang="en">Delaney, N.
        </AuthEnty><AuthEnty affiliation="Indecon International Research Economists" xml:lang="en">Swinand, Greg
        </AuthEnty><AuthEnty affiliation="Indecon International Research Economists" xml:lang="en">Privalko, I.
        </AuthEnty><AuthEnty affiliation="Indecon International Research Economists" xml:lang="en">Owens, D.
        </AuthEnty><AuthEnty affiliation="Indecon International Research Economists" xml:lang="en">Prendushi, K.
        </AuthEnty><AuthEnty affiliation="Indecon International Research Economists" xml:lang="en">Redmond, B.
        </AuthEnty><AuthEnty affiliation="Ipsos" xml:lang="en">Loscher, Damian
        </AuthEnty><AuthEnty affiliation="Ipsos" xml:lang="en">Cotton, C
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        <distrbtr xml:lang="en">ISSDA</distrbtr><distrbtr abbr="ISSDA" xml:lang="en">Irish Social Science Data Archive</distrbtr>
        <distDate xml:lang="en" date="2025-08-05">2023</distDate>
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        <keyword xml:lang="en" vocab="none">Social Sciences</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Attitudes</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Energy generation</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Energy infrastructure</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Energy policy</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Renewable energy</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Solar energy</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Wind energy</keyword><keyword xml:lang="en" vocab="ELSST" vocabURI="https://elsst.cessda.eu/id/">Energy transition</keyword>
        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=4.2.2&amp;lang=en">Energy and natural resources</topcClas><topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?v=4.2.2&amp;lang=en">Social behaviour and attitudes</topcClas>
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      <abstract xml:lang="en">The purpose of the survey is to understand attitudes and beliefs of people on the topic of commercial wind and solar power infrastructure and specific public policy measures under the government’s Renewable Electricity Support Scheme (RESS). It is particularly aimed at establishing a baseline to compare the attitudes of those who live far (&gt;10km) from new (as of 2022) commercial solar and wind farms with those who live near (&lt;5km from) new infrastructure projects and who may (after 2022) benefit from RESS policies such as community benefit funds or household payments.&lt;br&gt;  Topics covered include standard socio-demographic variables; familiarity with renewable energy technologies; general attitude to wind and solar power; attitude to wind and solar projects near household; interaction with wind or solar power infrastructure; attitude to the planning process and RESS policies (community benefit fund and household payments). &lt;br&gt;  The survey data is joined to three variables that provide information on the characteristics of the renewable energy project spatially proximate to each respondent; i.e. the type of project (wind or solar), the scale of the project (MW ranges), and the distance to the nearest project (km ranges).&lt;br&gt;  The survey dataset is cross-sectional, but will also serve as the baseline for a longitudinal study that SEAI is conducting. The aim of the longitudinal study is to understand the effect of RESS policy measures on people who live near the commercial wind or solar PV projects developed under the scheme. Anonymized versions of follow-up surveys will also be shared as updates to this dataset. The first follow-up survey is scheduled for 2025.&lt;br&gt;  This dataset is derived from combining new survey data with extant planning data.&lt;br&gt;  Four variables in the dataset (‘pr_type_closest’, ‘pr_dist_ress’, ‘pr_dist_leg’ and ‘pr_scale’) are derived from an existing data collection that SEAI holds on wind turbine and solar PV project characteristics. More information on these are provided in the codebook.</abstract>
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        <collDate xml:lang="en" date="2022-06" event="start">2022-06</collDate><collDate xml:lang="en" date="2022-10" event="end">2022-10</collDate>
        <nation xml:lang="en">Ireland</nation>
        <anlyUnit xml:lang="en">Individual<concept/></anlyUnit>
        <universe xml:lang="en" clusion="I">All adults aged 18 and over, resident within private households located near existing or forthcoming (as of 2022) commercial wind or solar power generation projects in the Republic of Ireland, regardless of nationality, citizenship or other legal status.</universe>
        <dataKind xml:lang="en">Survey data</dataKind>
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        <timeMeth xml:lang="en">Cross-section<concept/></timeMeth>
        <sampProc xml:lang="en">Probability: Multistage. &lt;br&gt;  The sample started with 50 of the 68 renewable energy generation projects (wind and solar) that received offers of support under the first auction of the Renewable Electricity Support Scheme (RESS1).&lt;br&gt;  Treatment areas were defined as &lt;5km from these sites and control areas as &gt;10km from RESS1 sites. For treatment areas, spatial buffers of 0-1km, 1-2km, and 2-5km was created around each project site (turbine locations or solar array polygon). Survey starting points were selected within these buffers. Surveyors targeted a sample size per site of 5 &lt; 1km, 5 within 1-2km, 10 within 2-5km.&lt;br&gt;  Control areas are 50 Electoral Districts (ED) &gt;10km from a RESS1 site. Each ED site is matched to its ‘nearest neighbour’ control ED by propensity score, matching covariates were age, gender, population density, household size, distance to existing windfarms. The target was 10 interviews at each of the 50 control areas.&lt;br&gt;  More information on the sampling approach can be accessed in the accompanying project summary report.<concept/></sampProc>
        <collMode xml:lang="en">Face-to-face interview: CAPI/CAMI<concept/></collMode><collMode xml:lang="en">Compilation/Synthesis<concept/></collMode>
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        <restrctn xml:lang="en">ISSDA may only supply data for use in the EEA and adequacy decision countries.</restrctn>
        <citReq xml:lang="en">The data and its creators shall be cited in all publications and presentations for which the data have been used. The data citation may be in the form on the dataset page or in the form required by the publication&lt;br&gt;
Any work based in whole or part on resources provided by ISSDA, should  acknowledge: "SEAI Survey of Irish Attitudes to Wind and Solar Power, 2022" and also ISSDA, in the following way: “Accessed via the Irish Social Science Data Archive - www.ucd.ie/issda”.&lt;br&gt;</citReq>
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        <citation>
          <titlStmt>
            <titl xml:lang="en">Sustainable Energy Authority of Ireland. (2023). Evaluating the impacts of community measures in the Renewable Electricity Support Scheme</titl>
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