Globalization and Global Issues Institute, China University of Political Science and Law, Beijing 100088, China
*Corresponding author: XIA Lin, e-mail: firstname.lastname@example.org
In order to promote the “Belt and Road” Sino-Russian friendly trade, the advanced web crawler technology is used for data analysis in the context of the rapid development of Internet of Things technology. The types and applications of web crawler in big data are described; then, the web crawler technology is applied to the big data ecological environment analysis of “Polar Silk Road” of “Belt and Road” Sino-Russian trade. The steps of applying web crawler to the big data ecological environment analysis of “Polar Silk Road” are explained first; next, the analysis results are clarified. The research results have shown that the Sino-Russian trade ecological environment analysis based on web crawler technology is more perfect, which promotes the application and propagation of web crawler technology. The analysis has pointed out that being the cooperation project of Sino-Russian “Belt and Road”, the “Polar Silk Road” is facing a huge test in terms of its ecological environment, in which the oil spills occurred in oil and gas transportation projects have become the most important source of pollution in the Arctic region. These ecological problems require China and Russia to strengthen the development and construction in the fields of marine biological development, navigation work, fishery market, natural energy, etc. to further promote the construction and development of the ecological environment of the “Polar Silk Road”.
Big data; Web crawler; Technological application; Sino-Russian trade
Lin Xia. Analysis of “Belt and Road” Sino-Russian trade big data ecological environment based on web crawler. Academic Journal of Business & Management (2019) Vol. 1, Issue 2: 7-12. https://doi.org/10.25236/AJBM.190116.
 Khaliduzzaman A, Fujitani S, Kashimori A, et al. A non-invasive diagnosis technique of chick embryonic cardiac arrhythmia using near infrared light. Computers and Electronics in Agriculture, 2019, 158, pp. 326-334.
 Huang Y. Understanding China's Belt & Road initiative: motivation, framework and assessment[J]. China Economic Review, 2016, 40, pp. 314-321.
 Rowatt K, Burns R E, Frasca Jr S, et al. A combination Prussian blue–hematoxylin and eosin staining technique for identification of iron and other histological features. Journal of Histotechnology, 2018, 41(1), pp. 29-34.
 Yang H, Zhao X, Han B, et al. Spatiotemporal patterns of Amur leopards in northeast China: Influence of tigers, prey, and humans. Mammalian Biology, 2018, 92, pp. 120-128.
 Ma L, Sun G, Qu Y, et al. Applying systematic conservation planning to constitute a protection strategy for broad-leaved Korean pine forests in Changbai Mountains, China. Journal of Mountain Science, 2016, 13(3), pp. 493-507.
 Liu W, Dunford M. Inclusive globalization: Unpacking China's belt and road initiative. Area Development and Policy, 2016, 1(3), pp. 323-340.
 Huang Y. Understanding China's Belt & Road initiative: motivation, framework and assessment. China Economic Review, 2016, 40, pp. 314-321.
 Wen X, Ma H L, Choi T M, et al. Impacts of the Belt and Road Initiative on the China-Europe trading route selections. Transportation Research Part E: Logistics and Transportation Review, 2019, 122, pp. 581-604.
 Unpacking China's belt and road initiative. Area Development and Policy, 2016, 1(3), pp. 323-360.
 Chan M H T. The Belt and Road Initiative–the New Silk Road: a research agenda. Journal of Contemporary East Asia Studies, 2018, 7(2), pp. 104-123.