{"title":"肯尼亚旅游业与金融发展的关系:多元方法","authors":"Mercy. T. Musakwa, N. Odhiambo","doi":"10.1080/15475778.2021.1880879","DOIUrl":null,"url":null,"abstract":"Abstract In this study, the causal relationship between financial development and tourism in Kenya is investigated using annual time series data from 1995 to 2017. The study was motivated by the perceived role that the tourism sector has played in the various facets of the Kenyan economy over the past decades. Two proxies of financial development were used, namely broad money supply and stock market development (which is proxied by the total value of stocks traded as a percentage of GDP). Two intermittent variables were also used, namely real GDP and real effective exchange rate, thereby leading to a system of multivariate Granger-causality equations. Using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and ECM-based Granger-causality model, the results show that both stock market development and broad money supply Granger-cause tourism in Kenya, but only in the short run. The results show that both proxies of financial development have the potential to spur tourism development in Kenya, at least in the short run.","PeriodicalId":40044,"journal":{"name":"Journal of Transnational Management","volume":"26 1","pages":"58 - 74"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/15475778.2021.1880879","citationCount":"5","resultStr":"{\"title\":\"Tourism and financial development nexus in Kenya: A multivariate approach\",\"authors\":\"Mercy. T. Musakwa, N. Odhiambo\",\"doi\":\"10.1080/15475778.2021.1880879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this study, the causal relationship between financial development and tourism in Kenya is investigated using annual time series data from 1995 to 2017. The study was motivated by the perceived role that the tourism sector has played in the various facets of the Kenyan economy over the past decades. Two proxies of financial development were used, namely broad money supply and stock market development (which is proxied by the total value of stocks traded as a percentage of GDP). Two intermittent variables were also used, namely real GDP and real effective exchange rate, thereby leading to a system of multivariate Granger-causality equations. Using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and ECM-based Granger-causality model, the results show that both stock market development and broad money supply Granger-cause tourism in Kenya, but only in the short run. The results show that both proxies of financial development have the potential to spur tourism development in Kenya, at least in the short run.\",\"PeriodicalId\":40044,\"journal\":{\"name\":\"Journal of Transnational Management\",\"volume\":\"26 1\",\"pages\":\"58 - 74\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/15475778.2021.1880879\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transnational Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15475778.2021.1880879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transnational Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15475778.2021.1880879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tourism and financial development nexus in Kenya: A multivariate approach
Abstract In this study, the causal relationship between financial development and tourism in Kenya is investigated using annual time series data from 1995 to 2017. The study was motivated by the perceived role that the tourism sector has played in the various facets of the Kenyan economy over the past decades. Two proxies of financial development were used, namely broad money supply and stock market development (which is proxied by the total value of stocks traded as a percentage of GDP). Two intermittent variables were also used, namely real GDP and real effective exchange rate, thereby leading to a system of multivariate Granger-causality equations. Using the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and ECM-based Granger-causality model, the results show that both stock market development and broad money supply Granger-cause tourism in Kenya, but only in the short run. The results show that both proxies of financial development have the potential to spur tourism development in Kenya, at least in the short run.
期刊介绍:
As the economic marketplace expands across continents and cultures, it is essential to establish a world-wide network of ideas and information that serves your transnational business interests. The Journal of Transnational Management (retitled from the Journal of Transnational Management Development to better reflect its focus) is an international forum that examines management research, teaching and training techniques, consulting, and development issues from a multicultural perspective, presenting practical business strategies that produce results on a global scale. The Journal of Transnational Management is a comprehensive resource for management in foreign environments, presenting an exchange of conceptual and empirical research on an international level. Articles written by business practitioners, management development experts, and academicians address issues related to firms, public enterprises, educational institutions, and nonprofit organizations throughout the world.