Based on the analysis of the development of cross-border e-commerce in BRICS countries and the status quo of cross-border e-commerce trade between China and other BRICS countries, this paper makes a quantitative analysis of China's cross-border e-commerce exports to other BRICS countries and its influencing factors. Based on the classical expression of gravity model, this paper adjusts the model and constructs an extended gravity model with China's cross-border e-commerce exports to other BRICS countries as dependent variable, GDP of other BRICS countries, distance between China and the BRICS countries, population of importing countries, consumption gap, Internet penetration, logistics performance composite index of importing countries and cultural gap as independent variables. Based on the panel data of China, Russia, India, Brazil and South Africa for 8 years from 2010 to 2017, this paper finds that the GDP of importing countries, Internet penetration of importing countries, consumption gap, logistics performance composite index and population have a positive impact on China's cross-border e-commerce exports to other BRICS countries, while cultural gap and geographical distance have a negative impact on China's cross-border e-commerce exports to other BRICS countries.

The study investigates the factors that affect Kyrgyzstan’s bilateral trade flows with its main trading partners and attempts to predict trade potential for Kyrgyzstan. Using panel data, the gravity model is applied to estimate Kyrgyzstan’s trade from 2000 to 2016 for its 35 main trading partners. The coefficients derived from the gravity-model estimation are then used to predict trade potential for Kyrgyzstan. Results proved to be successful and explained 63% of the fluctuations in Kyrgyzstan’s trade. According to the results, Kyrgyzstan’s and its partners’ GDP have a positive effect on trade, while distance and partners’ population prove to have a negative effect. Predicted trade potential reveals that neighboring countries (China, Kazakhstan, Uzbekistan, and Tajikistan) and Russia still have a significant trade potential. Kyrgyzstan, being a less developed economy, even by Central Asia standards, can only achieve its goals of reducing poverty and becoming more developed by increasing its overall trade with the rest of the world. Therefore, it is essential to study the main determinants of Kyrgyzstan’s bilateral trade. In this way, we can help policy makers formulate policies to expand Kyrgyzstan’s trade. This study is the first attempt to apply to the gravity model to Kyrgyzstan in an attempt to predict trade potential.