Vicente Rios, Mercedes Beltrán‐Esteve, Lisa Gianmoena, Jesús Peiró‐Palomino, Andrés J. Picazo‐Tadeo
{"title":"Quality of Government and Women's Political Empowerment: Evidence from European Regions","authors":"Vicente Rios, Mercedes Beltrán‐Esteve, Lisa Gianmoena, Jesús Peiró‐Palomino, Andrés J. Picazo‐Tadeo","doi":"10.1111/pirs.12761","DOIUrl":null,"url":null,"abstract":"Abstract This study examines the relationship between women's political empowerment and the quality of government in European regions. The analysis considers both the endogeneity of the quality of government and female empowerment, and their spatial interdependence. We use exogenous variation in pre‐industrial societal traits, legal origins, and geographic and climatic characteristics to construct instruments using Random Forest forecasting. To model interdependence across regions, we employ convex combinations of connectivity matrices based on geography, trade, social networks, and cultural links. Our findings show that women's political empowerment raises the quality of government, and that the quality of government also boosts female empowerment.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"39 1","pages":"0"},"PeriodicalIF":2.4000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Papers in Regional Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/pirs.12761","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study examines the relationship between women's political empowerment and the quality of government in European regions. The analysis considers both the endogeneity of the quality of government and female empowerment, and their spatial interdependence. We use exogenous variation in pre‐industrial societal traits, legal origins, and geographic and climatic characteristics to construct instruments using Random Forest forecasting. To model interdependence across regions, we employ convex combinations of connectivity matrices based on geography, trade, social networks, and cultural links. Our findings show that women's political empowerment raises the quality of government, and that the quality of government also boosts female empowerment.
期刊介绍:
Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.