Determinants of tourist employment in Brazilian microregions: A dynamic panel data approach

IF 3.2 3区经济学 Q1 ECONOMICS

Journal of Regional Science Pub Date : 2024-07-21 DOI:10.1111/jors.12723

Luiz Carlos De Santana Ribeiro, Fernanda Rodrigues Dos Santos, Fábio Rodrigues De Moura, Rosa Lívia Gonçalves Montenegro, Elton Eduardo Freitas

引用次数: 0

Abstract

This paper investigates the influence of specialization, urbanization, and diversification externalities on the dynamics of tourism employment in Brazilian microregions. We use a dynamic panel data model for the 2006–2019 period. The location quotient, population density and the inverse of the Hirschman–Herfindahl index, proxies for specialization, urbanization, and diversification, respectively, positively affect tourism employment in the long run. Based on the estimated long-run elasticities, the specialization externality produces the strongest influence on tourism employment after a permanent increase of one standard deviation.

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巴西微型地区游客就业的决定因素：动态面板数据方法

本文研究了专业化、城市化和多样化外部因素对巴西微观地区旅游业就业动态的影响。我们使用的是 2006-2019 年期间的动态面板数据模型。区位商、人口密度和赫希曼-赫芬达尔指数的倒数分别代表专业化、城市化和多样化，它们在长期内对旅游就业产生积极影响。根据估计的长期弹性，专业化外部性在永久性增加一个标准差后对旅游就业的影响最大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Regional Science Multiple-

CiteScore

4.90

自引率

6.70%

发文量

期刊介绍： The Journal of Regional Science (JRS) publishes original analytical research at the intersection of economics and quantitative geography. Since 1958, the JRS has published leading contributions to urban and regional thought including rigorous methodological contributions and seminal theoretical pieces. The JRS is one of the most highly cited journals in urban and regional research, planning, geography, and the environment. The JRS publishes work that advances our understanding of the geographic dimensions of urban and regional economies, human settlements, and policies related to cities and regions.