{"title":"南非省级房价趋同:来自俱乐部趋同和聚类程序的证据","authors":"N. Apergis, Beatrice D. Simo-Kengne, Rangan Gupta","doi":"10.1111/RURD.12029","DOIUrl":null,"url":null,"abstract":"This empirical study analyses the long run behaviour of provincial house prices in South Africa based on the club convergence and clustering procedure of Phillips and Sul (2007). Using quarterly data covering the period of 1974Q1 to 2012Q4, 1976Q2 to 2012Q4, 1974Q1 to 2012 Q4 and 1977Q3 to 2012Q4 for the entire, large, medium and small-middle segments of the housing market, respectively, we test the law of one price across nine provinces. The empirical findings suggest that the nine provinces do not form a homogeneous convergence club. In particular, the aggregate housing market supports the presence of three convergence clubs with the tendency of provinces to converge or diverge varying across subsequent segments. Unlike the middle-small segment which consists of two convergence clubs of seven and two provinces, the middle-large and middle-medium segments are consistent with three convergence clubs corresponding to three segmented independent local markets. The first convergence club consists of four and five provinces, respectively. The second convergence club is made of four and three provinces, respectively, while the third convergence club comprises only one province.","PeriodicalId":39676,"journal":{"name":"Review of Urban and Regional Development Studies","volume":"27 1","pages":"2-17"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/RURD.12029","citationCount":"20","resultStr":"{\"title\":\"Convergence in Provincial-Level South African House Prices: Evidence from the Club Convergence and Clustering Procedure\",\"authors\":\"N. Apergis, Beatrice D. Simo-Kengne, Rangan Gupta\",\"doi\":\"10.1111/RURD.12029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This empirical study analyses the long run behaviour of provincial house prices in South Africa based on the club convergence and clustering procedure of Phillips and Sul (2007). Using quarterly data covering the period of 1974Q1 to 2012Q4, 1976Q2 to 2012Q4, 1974Q1 to 2012 Q4 and 1977Q3 to 2012Q4 for the entire, large, medium and small-middle segments of the housing market, respectively, we test the law of one price across nine provinces. The empirical findings suggest that the nine provinces do not form a homogeneous convergence club. In particular, the aggregate housing market supports the presence of three convergence clubs with the tendency of provinces to converge or diverge varying across subsequent segments. Unlike the middle-small segment which consists of two convergence clubs of seven and two provinces, the middle-large and middle-medium segments are consistent with three convergence clubs corresponding to three segmented independent local markets. The first convergence club consists of four and five provinces, respectively. The second convergence club is made of four and three provinces, respectively, while the third convergence club comprises only one province.\",\"PeriodicalId\":39676,\"journal\":{\"name\":\"Review of Urban and Regional Development Studies\",\"volume\":\"27 1\",\"pages\":\"2-17\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/RURD.12029\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Urban and Regional Development Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/RURD.12029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Urban and Regional Development Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/RURD.12029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Convergence in Provincial-Level South African House Prices: Evidence from the Club Convergence and Clustering Procedure
This empirical study analyses the long run behaviour of provincial house prices in South Africa based on the club convergence and clustering procedure of Phillips and Sul (2007). Using quarterly data covering the period of 1974Q1 to 2012Q4, 1976Q2 to 2012Q4, 1974Q1 to 2012 Q4 and 1977Q3 to 2012Q4 for the entire, large, medium and small-middle segments of the housing market, respectively, we test the law of one price across nine provinces. The empirical findings suggest that the nine provinces do not form a homogeneous convergence club. In particular, the aggregate housing market supports the presence of three convergence clubs with the tendency of provinces to converge or diverge varying across subsequent segments. Unlike the middle-small segment which consists of two convergence clubs of seven and two provinces, the middle-large and middle-medium segments are consistent with three convergence clubs corresponding to three segmented independent local markets. The first convergence club consists of four and five provinces, respectively. The second convergence club is made of four and three provinces, respectively, while the third convergence club comprises only one province.
期刊介绍:
Review of Urban & Regional Development Studies (RURDS) focuses on issues of immediate practical interest to those involved in policy formation and implementation. Articles contain rigorous empirical analysis, with many emphasizing policy relevance and the operational aspects of the academic disciplines, while others focus on theoretical and methodological issues. Interdisciplinary and international in perspective, RURDS has a wide appeal: in addition to scholars, readership includes planners, engineers and managers in government, business and development agencies worldwide.