Rural poverty and ecological problems: Results of a new type of baseline study
Identifieur interne : 000613 ( Istex/Corpus ); précédent : 000612; suivant : 000614Rural poverty and ecological problems: Results of a new type of baseline study
Auteurs : Frank W. Young ; Fernando Bertoli ; Sandra BertoliSource :
- Social Indicators Research [ 0303-8300 ] ; 1981-12-01.
Abstract
Abstract: This baseline study used data from a informant survey of 76 rural communities in Central Tunisia to construct, first, measures of rural poverty and ecological deterioration and, second, indices of the major institutional complexes in the region. Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. Compared to household survey baselines, this one is less expensive, simpler to analyze and provides an analytic picture of the institutional structure, in relation to key indicators, of a region.
Url:
DOI: 10.1007/BF00286350
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ISTEX:3ADFB823A442F220E30A0DF5557798B94BE75149Le document en format XML
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Young</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author><author><name sortKey="Bertoli, Fernando" sort="Bertoli, Fernando" uniqKey="Bertoli F" first="Fernando" last="Bertoli">Fernando Bertoli</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author><author><name sortKey="Bertoli, Sandra" sort="Bertoli, Sandra" uniqKey="Bertoli S" first="Sandra" last="Bertoli">Sandra Bertoli</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:3ADFB823A442F220E30A0DF5557798B94BE75149</idno><date when="1981" year="1981">1981</date><idno type="doi">10.1007/BF00286350</idno><idno type="url">https://api.istex.fr/document/3ADFB823A442F220E30A0DF5557798B94BE75149/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000613</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000613</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Rural poverty and ecological problems: Results of a new type of baseline study</title><author><name sortKey="Young, Frank W" sort="Young, Frank W" uniqKey="Young F" first="Frank W." last="Young">Frank W. Young</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author><author><name sortKey="Bertoli, Fernando" sort="Bertoli, Fernando" uniqKey="Bertoli F" first="Fernando" last="Bertoli">Fernando Bertoli</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author><author><name sortKey="Bertoli, Sandra" sort="Bertoli, Sandra" uniqKey="Bertoli S" first="Sandra" last="Bertoli">Sandra Bertoli</name><affiliation><mods:affiliation>Cornell University, Ithaca, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>University of North Carolina at Charlotte, Charlotte, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Social Indicators Research</title><title level="j" type="sub">An International and Interdisciplinary Journal for Quality-of-Life Measurement</title><title level="j" type="abbrev">Soc Indic Res</title><idno type="ISSN">0303-8300</idno><idno type="eISSN">1573-0921</idno><imprint><publisher>Kluwer Academic Publishers</publisher><pubPlace>Dordrecht</pubPlace><date type="published" when="1981-12-01">1981-12-01</date><biblScope unit="volume">9</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="495">495</biblScope><biblScope unit="page" to="516">516</biblScope></imprint><idno type="ISSN">0303-8300</idno></series><idno type="istex">3ADFB823A442F220E30A0DF5557798B94BE75149</idno><idno type="DOI">10.1007/BF00286350</idno><idno type="ArticleID">BF00286350</idno><idno type="ArticleID">Art4</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0303-8300</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: This baseline study used data from a informant survey of 76 rural communities in Central Tunisia to construct, first, measures of rural poverty and ecological deterioration and, second, indices of the major institutional complexes in the region. Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. Compared to household survey baselines, this one is less expensive, simpler to analyze and provides an analytic picture of the institutional structure, in relation to key indicators, of a region.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Frank W. 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Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. 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Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. 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Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. Compared to household survey baselines, this one is less expensive, simpler to analyze and provides an analytic picture of the institutional structure, in relation to key indicators, of a region.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>The research on which this paper is based was supported by the Office of Rural Development Administration of the Agency for International Development via its sponsorship of Cornell's Rural Development Committee. We are also indebted to the Central Tunisian Development Authority for its support. None of these agencies is responsible for the opinions and conclusions expressed in the article, of course. Thanks go to Norman Uphoff and Ruth C. Young for helpful comments and to Linda Bush, Christine Scharffenberger, Walter West and Margaret Wilder for computer and manuscript assistance.</SimplePara></ArticleNote></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Rural poverty and ecological problems: Results of a new type of baseline study</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Rural poverty and ecological problems: Results of a new type of baseline study</title></titleInfo><name type="personal"><namePart type="given">Frank</namePart><namePart type="given">W.</namePart><namePart type="family">Young</namePart><affiliation>Cornell University, Ithaca, USA</affiliation><affiliation>University of North Carolina at Charlotte, Charlotte, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Fernando</namePart><namePart type="family">Bertoli</namePart><affiliation>Cornell University, Ithaca, USA</affiliation><affiliation>University of North Carolina at Charlotte, Charlotte, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Sandra</namePart><namePart type="family">Bertoli</namePart><affiliation>Cornell University, Ithaca, USA</affiliation><affiliation>University of North Carolina at Charlotte, Charlotte, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper"></genre><originInfo><publisher>Kluwer Academic Publishers</publisher><place><placeTerm type="text">Dordrecht</placeTerm></place><dateCreated encoding="w3cdtf">1980-11-20</dateCreated><dateIssued encoding="w3cdtf">1981-12-01</dateIssued><copyrightDate encoding="w3cdtf">1981</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: This baseline study used data from a informant survey of 76 rural communities in Central Tunisia to construct, first, measures of rural poverty and ecological deterioration and, second, indices of the major institutional complexes in the region. Using factor analysis, the study identified five institutional dimensions: services, religious institutions, mechanized agriculture, irrigated agriculture and sedentary herding. These dimensions were then used as independent variables in a regression analysis of the two social indicators with the results that sedentary herding and religious institutions (negative) predict ecological problems, and the same two dimensions, with the addition of services (negative) predict poor housing. 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