Using " chain-based and constant-based" two-step method,this paper measured Paasche net barter terms of trade index for SinoAustralian agricultural products from 2001 to 2013,and further calculated contribut...Using " chain-based and constant-based" two-step method,this paper measured Paasche net barter terms of trade index for SinoAustralian agricultural products from 2001 to 2013,and further calculated contribution of each category of agricultural products to changes in overall net barter terms of trade. The results showed that since 2001,the overall net barter terms of trade for Sino-Australian agricultural products fluctuated between deterioration and improvement. In 2013,the net barter terms of trade index was 1. 02,and its improvement is not significant. From 2001 to 2013,the net barter terms of trade for Sino-Australian agricultural products improved about 16. 44%,which dominated by the category 0 agricultural products whose influence degree is 6 times and 28 times the degree of category 4 and category 1. In years when the net barter terms of trade for Sino-Australian agricultural products deteriorated,category 2 agricultural products were the root cause for the deterioration.展开更多
On the occasion of the 40th anniversary of reform and opening up, China’s economic growth level has steadily risen and its international status has gradually improved. However, as the global economic downturn, China ...On the occasion of the 40th anniversary of reform and opening up, China’s economic growth level has steadily risen and its international status has gradually improved. However, as the global economic downturn, China is facing tremendous challenges and pressures in the international economic and financial markets. The turbulence of foreign trade and international financial markets has put forward greater requirements for the flexibility of China’s financial strategy. Based on the annual data of China’s total foreign trade, exchange rate, commodity retail price index and the proportion of tertiary industry from 2002 to 2017, this paper constructs a multiple regression model to analyze the main influencing factors of China’s total foreign trade. The empirical results show that there is a positive relationship between the commodities retail price index and the total foreign trade, a negative relationship between the proportion of tertiary industry and the total foreign trade, and a positive relationship between the exchange rate of RMB (taking US dollar as an example) and the total foreign trade. On the basis of empirical analysis, the paper puts forward suggestions on relevant financial policies.展开更多
基金Supported by"Industrial Economic Research of National Technology System for Wool Sheep and Cashmere Goat Industries"of the Ministry of Agriculture and the Ministry of Finance(CARS-40-20)Chinese Universities Scientific Fund(2015RW007)
文摘Using " chain-based and constant-based" two-step method,this paper measured Paasche net barter terms of trade index for SinoAustralian agricultural products from 2001 to 2013,and further calculated contribution of each category of agricultural products to changes in overall net barter terms of trade. The results showed that since 2001,the overall net barter terms of trade for Sino-Australian agricultural products fluctuated between deterioration and improvement. In 2013,the net barter terms of trade index was 1. 02,and its improvement is not significant. From 2001 to 2013,the net barter terms of trade for Sino-Australian agricultural products improved about 16. 44%,which dominated by the category 0 agricultural products whose influence degree is 6 times and 28 times the degree of category 4 and category 1. In years when the net barter terms of trade for Sino-Australian agricultural products deteriorated,category 2 agricultural products were the root cause for the deterioration.
文摘On the occasion of the 40th anniversary of reform and opening up, China’s economic growth level has steadily risen and its international status has gradually improved. However, as the global economic downturn, China is facing tremendous challenges and pressures in the international economic and financial markets. The turbulence of foreign trade and international financial markets has put forward greater requirements for the flexibility of China’s financial strategy. Based on the annual data of China’s total foreign trade, exchange rate, commodity retail price index and the proportion of tertiary industry from 2002 to 2017, this paper constructs a multiple regression model to analyze the main influencing factors of China’s total foreign trade. The empirical results show that there is a positive relationship between the commodities retail price index and the total foreign trade, a negative relationship between the proportion of tertiary industry and the total foreign trade, and a positive relationship between the exchange rate of RMB (taking US dollar as an example) and the total foreign trade. On the basis of empirical analysis, the paper puts forward suggestions on relevant financial policies.
