摘要：In the context of COVID-19, international trade has been strongly impacted, and it is of great significance to accelerate trade exchanges with countries along the "Belt and Road" to achieve trade transformation. This paper uses the time-varying stochastic frontier gravity model to measure trade efficiency based on the data of China and South Asia from 2000 to 2019. The empirical results show that economic scale and population have a positive impact on trade. China's GDP growth is not conducive to the growth of bilateral trade volume, and distance is no longer a factor hindering trade. Trade inefficiency has a great impact on trade. Among them, whether to sign a free trade agreement, the quality of port infrastructure, the simple average tax rate of all products, and political risks have a more significant impact on the trade coefficient. The trade potential between China and South Asian countries is very large and different countries are uneven. China has high trade efficiency with Sri Lanka, Pakistan, India, and Bangladesh, while trade with Bhutan has extremely low efficiency, and trade with Maldives and Nepal is average. Based on the above empirical results and combined with the current epidemic situation, the corresponding conclusions and countermeasures are put forward. For example, exporters should continue to innovate to promote trade transformation and diversified development; combine the western development strategy to promote trade and South Asian exchanges; reduce trade tariff barriers between the two countries; Jointly maintain the security and political situation of the two countries.
关键词：South Asia;Trade Efficiency;Potential;Stochastic FrontierGravity Model
