Ma Ning, Shum Wai Yan, Han Tingting, Cheong Tsun Se
School of Financial Management, Hainan College of Economics and Business, Haikou, China.
Department of Economics and Finance, The Hang Seng University of Hong Kong, Shatin, Hong Kong SAR, China.
Front Psychol. 2021 Nov 25;12:792950. doi: 10.3389/fpsyg.2021.792950. eCollection 2021.
The COVID-19 pandemic has caused a huge impact on global service sector. In the pandemic background, to understand the disparity in service sector outputs at the global level is crucial for assessing the effectiveness of development policies in different countries. This study investigate the global service sector and it aims to investigate the transitional dynamics of the output from the service sector by adopting stochastic kernel analyses. Distribution dynamics analyses are carried out for all the countries in the world. The data are then divided into different regional and income groups to evaluate the impacts of geographical location and income on the development of the service sector. The results show that the Global North will continue to make greater strides, while the output capacity in many Global South countries struggles to reach the global average. Moreover, it is shown that countries with higher per capita income will perform better in the development of their service sector than those with low per capita income, thereby highlighting the persistence of global inequality. Finally, this study shows that the Sub-Saharan Africa region and the South Asia region both are very important in the alleviation of global inequality.
新冠疫情对全球服务业造成了巨大影响。在疫情背景下,了解全球层面服务业产出的差异对于评估不同国家发展政策的有效性至关重要。本研究对全球服务业进行调查,旨在通过采用随机核分析来研究服务业产出的转型动态。对世界上所有国家进行分布动态分析。然后将数据分为不同的区域和收入组,以评估地理位置和收入对服务业发展的影响。结果表明,全球北方将继续取得更大进展,而许多全球南方国家的产出能力难以达到全球平均水平。此外,研究表明,人均收入较高的国家在服务业发展方面的表现将优于人均收入较低的国家,从而凸显了全球不平等的持续性。最后,本研究表明,撒哈拉以南非洲地区和南亚地区在缓解全球不平等方面都非常重要。