Concomitant with China's rise as a major economic powerhouse over the last few decades has been its greater presence around the globe. More so is in the area of the maritime domain where China is currently competing with both global and regional powers for greater access such that is has successfully created what is known as the Chinese 'string of pearls'. While Beijing has constantly argued that its activities are peaceful and aimed at securing its Sea Lines of Communication (SLOC) and ensuring its trade, commerce and energy security, however, not all the global and regional players are convinced. Over the last two decades, China has been pushing for greater access and presence into the Indian Ocean region such that it has created much uneasiness and anxiety in New Delhi and Washington. The aim of this article is therefore to analyze Chinese activities and strategic ambitions in the Indian Ocean region. While the Chinese policy of creating its string of pearls is not solely confined to the Indian Ocean region alone, this article will, however, focus on the said ocean for at least three reasons. Firstly, the Indian Ocean is important for it serves as the bridge between Asia and the world, and secondly, it has witnessed heightened Chinese activity over the last decade such that it is indeed one of China's major focal point on the global stage. Last, but not least, it has also became, to some extent, a pawn in the rivalries between major global and regional players, namely the United States (U.S.), China and India. Apart from that, this article will also consider Chinese activities in the states of the
After the cold war, some countries gradually seek to regional cooperation when they could not handle various transnational challenges alone. Shanghai Cooperation Organization (SCO) is a good example. It brought Central Asian countries together. This paper applies the text-mining method, using co-word analysis, co-occurrence matrix, cluster analysis, and strategic diagram to analyze the selected articles from newspapers quantitatively and visually. In order to investigate the Chinese government’s attitude toward the SCO, this study collected data from the China Core Newspaper Full-text Database, which contains high-impact government newspapers revealing the Chinese government’s perception of the SCO. This study characterizes the changing role of SCO as perceived by the Chinese government from 2001 to 2019. Beijing’s changing expectations in each of the three identified subperiods are described.
With the development of economic and technologies, the trend of annual Gross Domestic Product (GDP) and carbon dioxide (CO2) emission changes with time passes. The relationship between economic growth and carbon dioxide emissions is considered as one of the most important empirical relationships. In this study, we focus on the member of Shanghai Cooperation Organization, including China, Russia, India, and Pakistan and collect CO2 emission and annual GDP from 1969 to 2014. The statistical methods and tests are used to find the relationship between annual GDP and CO2 emission in these countries. Based on relationship between annual and CO2 emission, a novel multi-step prediction algorithm called Extreme Learning Machine with Artificial Bee Colony (ELM-ABC) is proposed for forecasting annual GDP based on CO2 emission and historical GDP features. According to the experimental results, it proved that the proposed model had a super forecasting ability in GDP prediction and it could predict ten-year future annual GDP for the corresponding countries. Moreover, the forecasting results showed that the annual GDP of China and Pakistan will continue to grow but growth will slow after 2025. The annual GDP in India will exhibit unstable growth. The trend of Russia will follow the pattern between 2010 and 2016.
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