Viktoriia Medvid

China and Russia are important agricultural countries in the world. Expanding exports and increasing sales of agricultural products play an important role in the economic development of both countries. To understand the current situation of agricultural exports of the two countries and formulate strategies to expand the marketing of agricultural products, this paper uses the UN Comtrade Database 2009-2018 on Chinese and Russian bilateral agricultural export sales and other trade data to calculate the (expansion margin) and (price margin) of agricultural exports, (quantity margin), to analyze the types, prices, and quantities of exported agricultural products. The results show that China exports to Russia mainly labor-intensive types of agricultural products such as processed agricultural and horticultural products, accounting for 87.46% of total agricultural exports on average. The increase in exports is mainly due to the continuous increase in the prices of exported agricultural products. Russia exports to China mainly land-intensive types of agricultural products such as animal products, grains, oilseeds and fat products, which accounted for an average of 79.07% of total agricultural exports. The increase in exports was mainly due to the continuous increase in types and quantities of agricultural products to develop the export potential of agricultural products and expand sales. In addition, China should expand the types and quantities of agricultural products exported, and Russia should increase the added value of agricultural products and raise the export prices of agricultural products.

This study aims to understand the relationship between China’s industrial structure and human resources employment structure. This paper reviewed the relevant data from the China Statistical Yearbook, China Population and Employment Statistical Yearbook between 2010 and 2019 and quantitatively analyzed the interrelationship between the two using the CORREL function, employment elasticity coefficient, and employment structure deviation coefficient. Results indicate that the two have a strong correlation, but the coordination is poor; from the perspective of stimulating economic effect on employment, the total employment elasticity coefficient of the three industries is primarily positive, but the absolute value is close to 0. The synchronous inspiring effect of economic growth of various industries on employment is not apparent. In terms of equilibrium, the degree of structural deviation of the primary industry fluctuated between –0.70 and –0.75 each year, and the degree of structural deviation of the secondary industry has always hovered around 0.4. Although the degree of structural deviation of the tertiary industry was stable overall, mainly in some years, the deviation coefficient was still higher than 0.2, and the degree of imbalance between the economic development of various industries and the employment structure is more severe.

In recent years, continuous changes in geo-economics and environment, especially the rise in global trade protectionism, have severely impacted China’s sporting goods manufacturing industry, which is dominant in international trade. Therefore, this paper attempts to examine the geo-economic environment and influence factors of China’s sporting goods manufacturing industry, and puts forward strategies to improve the competitiveness of China’s sporting goods manufacturing industry and promote its high-quality development.
This paper selects indicators that can reflect the geo-economic relationships of competition and complementarity, including household final consumption expenditure (% of GDP), sporting goods import and export trade volumes (% of GDP), FDI (% of GDP) and R&D (% of GDP) from 2013 to 2018. Using the standardized Euclidean distance method, the geo-economic relationship of sporting goods manufacturing industry between China and each One Belt and One Road Initiative (BRI) country is obtained. Statistic results show that the geo-economic relationship of the sporting goods manufacturing industry between China and other BRI countries is more competitive than complementary. Meanwhile, a map generated by the ARCGIS10.0 platform shows that competition between China and the BRI countries increased from 2013 to 2018. According to the analysis of statistical data regarding the aspects of the industrial structure of China’s sporting goods manufacturing industry, geo-economics and geopolitics, respectively, several proposals are put forward for the high-quality development of the sporting goods manufacturing industry in China.