Apergis Nicholas, Lau Chi Keung
Department of Banking and Financial Management, University of Piraeus, Piraeus, Greece.
Department of Economics and Finance, Hang Seng University of Hong Kong, Hong Kong, China.
Atl Econ J. 2022;50(1-2):37-51. doi: 10.1007/s11293-022-09745-6. Epub 2022 Jun 10.
This paper analyses, for the first time, potential convergence patterns of hotel revenues across provinces in China. Through the club clustering methodology, the analysis uses a unique dataset of all hotels across all Chinese provinces. The findings document that these hotel revenues follow a diverging pattern on a national level, while a converging pattern is identified across certain provinces, thus forming specific clubs. When the analysis is extended to identify potential drivers for such diverging or converging behavior, the new results illustrate the role of productivity trends, management strategies and tax policies as those factors that drive such patterns. The results could be of substantial value, primarily for tourism policymakers to further improve the current framework of the Chinese hotel industry to introduce practices and policies that will allow the industry to catch up with the global market.
The online version contains supplementary material available at 10.1007/s11293-022-09745-6.
本文首次分析了中国各省酒店收入的潜在趋同模式。通过俱乐部聚类方法，该分析使用了中国所有省份所有酒店的独特数据集。研究结果表明，这些酒店收入在全国范围内呈现出发散模式，而在某些省份则呈现出趋同模式，从而形成了特定的俱乐部。当分析扩展到确定这种发散或趋同行为的潜在驱动因素时，新结果表明生产力趋势、管理策略和税收政策是驱动这些模式的因素。这些结果可能具有重大价值，主要对旅游政策制定者而言，有助于进一步完善中国酒店业的现行框架，引入能使该行业跟上全球市场步伐的做法和政策。
在线版本包含可在10.1007/s11293-022-09745-6获取的补充材料。
