An analysis of the competitiveness of the tourism industry in a context of economic recovery following the COVID19 pandemic.

Business activities within the tourism industry are especially suffering from the consequences of the COVID19 pandemic. Those countries whose economy depends largely on tourism will experience a troublesome situation for years to come. Their return to a normal situation will be conditioned by the competitiveness of their tourism sector. The study begins by pinpointing the countries that have been more hardly stricken by the pandemic and in which tourism accounts for a greater share of the GDP. A comparative analysis of the competitiveness of these countries with that of world-leading countries will be carried out so as to conclude which will face the recovery period in a more vulnerable situation. The measurement of tourism competitiveness will be supported by the creation of a synthetic indicator based on the P2 distance method. A group of 13 countries has been identified as the most vulnerable, and it is advisable to act urgently in the following areas: the promotion of cultural elements and the historical and artistic heritage, the protection of natural areas, the availability of information and communication technologies, the international openness of the destination, and the availability of transportation infrastructures and tourist services.

Human rights in the Horn of Africa: an index of child and maternal health.

OBJECTIVE: To construct a territorial measure and classification of child and maternal health in the countries of the Horn of Africa based on the 2030 Agenda for Sustainable Development adopted by all United Nations Member States in 2015. METHOD: The design of our index includes the variables child and maternal health defined in the Sustainable Development Goals (SDGs) to enable territorial ranking of the countries. For this purpose, we used Pena's distance method for 2017. RESULTS: The results indicate a relatively high territorial disparity in maternal health between the countries of the Horn of Africa according to the differing values of the SDGs variables of child and maternal health. CONCLUSIONS: We propose a territorial classification in the countries of the Horn of Africa. We believe that the most striking differences between countries relate to basic variables of maternal health such as being attended by skilled health personnel.

An index for quantifying female education and child health in emerging economies.

OBJECTIVE: To construct an index to measure female education and child health in the least developed countries (LDCs) of Asia. METHODS AND RESULTS: The design of our index includes the variables of female education and child health defined in the goals of the Millennium Declaration. For this purpose, we used Pena's P2 distance method for 2011, the last year for which data were available for the set of variables. CONCLUSION: We have proposed a territorial measure and classification of female education and child health in the LDCs of Asia. We believe that the most striking differences between countries relate to basic female education variables such as girls' primary completion rate, and female literacy.

An index of maternal and child health in the least developed countries of Asia.

In this article, we propose a new index to measure maternal and child health in the least developed countries (LDCs) of Asia. This new index is applied to a group of countries particularly affected by poverty, which, in the terminology of the United Nations' Conference on Trade and Development, are the poorest of the poor. Our index has been designed by including the variables defined in the Goals of the Millennium Declaration. For this purpose, we used the P(2) distance method for 2008, the last year for which data were available. This index integrates variables of maternal and child health that allow territorial ordering of the LDCs in terms of these partial indicators. This analysis is particularly useful in a scenario such as the LDCs of Asia, which are beset by profound social and economic inequalities.