Exploration of Mobile Market: Population Distribution and Emotional Behavior Changes in Southeast and South Asian Countries

Abstract

Background Population structure and per capita mobile phones are related to the information infrastructure of countries. The association of Southeast Asian Nations (ASEAN) is a regional organization composed of Southeast Asian countries, including Indonesia, Malaysia, the Philippines, Singapore, Thailand, Brunei, Cambodia, Laos, Myanmar and Vietnam. In addition, South Asian countries include Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, India, Pakistan and Sri Lanka. Many previous studies have discussed strategies or countermeasures to deal with the problem of “China's rise” and the emotional behavior of Chinese people on mobile phones. The rise of China has almost balanced the trade differences between China and other countries such as the United States, the European Union, the United Kingdom and Japan. Research objects and methods The population structure and per capita mobile phones of the association of Southeast Asian Nations (ASEAN & SA) and South Asian countries (ASEAN & SA) were classified by bilateral standard deviation method. The steps are: 1) clustering the population structure through bilateral standard deviation; 2) Analysis of mobile cellular network per capita in various countries; 3) The relationship between population structure and per capita mobile phone. 4) Using the method of questionnaire, this paper investigates the emotional micro behavior of using Chinese mobile phones in different countries and regions. This study also used the emotion regulation scale (ERs), which was compiled by Wang Li and others on the basis of gross's emotion regulation scale. The scale has a score of 7 points (1 completely disagree to 7 completely agree), with a total of 14 items. There were 7 items of re evaluation and expression inhibition strategies respectively. The higher the score of the scale, the higher the frequency of using the strategy. In this study, the internal consistency coefficient of the scale is 0.74. Re evaluation and expression inhibition of the two subscales α The coefficients are 0.84 and 0.77 respectively. Results The results show that India, Indonesia, the Philippines, Sri Lanka and Thailand have potential markets for mobile communications. According to the classification of countries, when these countries are included in the same cluster, the population structure is very similar. According to the analysis, the number of mobile phones per capita in Singapore is very high, and the population structure is also aging. Malaysia and Vietnam have high per capita mobile traffic and a general population structure. Thailand, Indonesia and the Philippines all have mobile phones. Generally speaking, countries with elderly population structure have a high per capita mobile cellular network in ASEAN. In this process, we also analyzed the correlation between emotional behavior and telephone use. The results showed that there was a negative correlation between social support and anxiety level. There is a significant positive correlation between social re evaluation and social support. At the same time, social support was negatively correlated with expression inhibition, and expression inhibition was positively correlated with anxiety. The same statistical method was used to explore expression inhibition as an intermediary variable between social support and adolescent anxiety. It can be seen from table 4 that the regression coefficients of the first and second steps are significant. In the third step, after inserting the intermediary variable expression inhibition, the impact of social support on Teenagers' anxiety level is still significant. It can be seen that expression inhibition plays a partial intermediary role in the relationship between social support and teenagers' anxiety level, and its effect value is 0.01, accounting for the percentage of the total effect of -0.02 * 0.23 / - 0.05 = 9.2%. According to the calculation of bias corrected bootstrap method, the 95% confidence interval of the mediating effect of expression inhibition is [0.077, 0.381], and 0 is not within the upper and lower limits, indicating that expression inhibition plays an intermediary role in social support and adolescent anxiety. Conclusion The main contribution of this study is to explore the relationship between population structure and per capita mobile phone in ASEAN and southern African countries. The world's population is growing rapidly, which is a problem because the earth's resources are limited. The uniform probability distribution with time (year) as the variable is considered to be the optimal population distribution of a country, that is, the human resources of the country are constant. Therefore, the ideal shape of the pyramid of the times is square. It is also a standard form for examining population structure. In addition, it is reasonable to share the experience of China's rise, which supports the mobile business model of ASEAN and southern African countries. Acknowledgements This work was jointly supported by Guangdong University of Petrochemical Technology under Grant 702-519244 and 702-519210, Guangdong, China.