The following term paper of master's course looks into the spread of ICT technologies and internet and their influence on the local economy of South-East Asian Countries (Particularly ASEAN Countries)
The paper discusses the impact of Internet and social media on Society and Economic Development. It highlights the role of internet in promoting economic growth and incresing communication accessibility. The paper also raises the hypothesis of whether Internet Penetration correlates with Economic Development in different south-east asian countries and their infrastructures. The paper uses a quantitative approach, specifically simple linear regression, to verify the correlation between GDP and economic development and social media in different ASEAN member states. The paper also examines the trends between GDP, social media, and economic development over a period of 7/8 years. The data and discussion aim to provide insights into how GDP has impacted the emergence of the Internet and social media over the years.
The internet and social media have been a groundbreaking innovation
which has contributed to exceptional growth to many world economies. While Internet penetration has been linked to economic growth,
the timing and reach of its adoption varies based on socio-political and economic factors.
Social media platforms, on the other hand, have experienced explosive growth over the past two decades and
have become a significant factor in commerce and political change.
Social media and internet has changed the world. The rapid and vast adoption of these
technologies is changing how we find partners, how we access information from the
news, and how we organize to demand political change. And thus, it is important to study and research their tendencies with regards to
different regional factors.
The growth of Internet has been influential and has shown an enourmous growth potential in South East Asia in the recent years with upto 9.1% jump in 2021 (Refer the Datareportal Presentation)
1. The growth of internet and Social media services has been positive in the SEA region
2. The public has a positive sentiment towards the internet
Looking through the previous research on relationship between Economic development versus the Spread of Internet and Social Media, we can infer the following
In order to measure economic development in this context, the paper conisders Gross Domestic Product (GDP) of the respective countries
Methods used: Microsoft Excel for Quantitative Analysis(Linear Regression Analysis)
The paper analyses the relationship between the two variables (GDP v/s Internet Penetration) for the following countries and checks the relationship
Country | Multiple r (Absolute value) | r2 | Significant F (p≤0.05) |
Indonesia | 0.544 | 0.296 | 0.164 |
Vietnam | 0.946 | 0.894 | 0 |
Cambodia | 0.952 | 0.907 | 0 |
Malaysia | 0.274 | 0.075 | 0.511 |
Brunei[1] | 0.893 | 0.797 | 0.003 |
Singapore | 0.813 | 0.66 | 0.014 |
Thailand | 0.808 | 0.653 | 0.015 |
Laos | 0.961 | 0.924 | 0 |
[1]It is note that data from Brunei leads to having a negative r value of -0.893, which means that as GDP has decreased, internet penetration has increased
The data visualisations of the relationships is as follows:
The paper analyses the relationship between the two variables (GDP v/s Social media penetration) for the following countries and checks the relationship
Country | Multiple r (Absolute value) | r2 | Significant F(p≤0.05) |
Indonesia | 0.888 | 0.789 | 0.008 |
Vietnam | 0.988 | 0.977 | 0 |
Cambodia | 0.964 | 0.929 | 0 |
Malaysia | 0.324 | 0.105 | 0.478 |
Brunei | 0.371 | 0.138 | 0.413 |
Singapore | 0.85 | 0.723 | 0.015 |
Thailand | 0.167 | 0.028 | 0.72 |
Laos | 0.966 | 0.933 | 0 |
The data visualisations of the relationships is as follows:
The results of the linear regression tests confirmed, for the most part, that Economic development correlated to the Spread of the Internet and Social media for the majority of the countries in southeast asia considered for this study.
However, some countries did not have a reasonable correlation between the variables. This inconsistency could be explained by a factor such as policy effects regarding digital technology in the region, which could be an extra variable affecting the correlation.
Future research regarding the understanding of this correlation should include consideration of regional and international politics, which affect policies regarding digital adoption; there should also be customer perception surveys to understand the perception of the Internet and social media in the region and level of access to technology in the region.