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From the sector perspective of mining, manufacturing and services, the motivations of Chinese outward direct investment (further ODI) are discussed during the period from 2001 to 2012, acknowledging different host countries and firms’ ownership structures. The estimated results justify that the location determinants of Chinese ODI differ between sectors, which implies the motivation behind such investment may vary. As expected, resource-seeking is the most important motivation for Chinese ODI in mining sector; market- and strategic asset-seeking motivations are possessed by both manufacturing and services sectors. The probability of the host country receiving Chinese FDI, as well as high FDI openness and frequent bilateral trade with China is favorable for doing business. Results also suggest that the factors increasing the probability of a country being chosen as a location for Chinese ODI vary between different host countries, as do different ownership structures.

This paper aims to examine the specific ways in which China＇s exports of manufactured goods to the United States boost the U.S. job market. Using the OECD STAN Bilateral Trade Database by Industry and End-use Category to calculate the share of U.S. intermediate products used in the manufactured goods China exports to the U.S., this paper finds that the ＂U.S. content＂ in China＇s exports of manufactured goods to the U.S. increases with the technology content of the goods and shows a decreasing trend over time. From 2006 to 2010, the average ＂US. content＂ in China＇s exports of manufactured goods to the U.S. was 1%, and such content in China＇s exports of high-end manufactured goods was 1.6%. On this basis and using the employment-output ratio in the U.S. Employment Demand Matrix, this paper concludes that as many as 1.71 million jobs have been created by the U.S. intermediate products used in China＇s exports of manufactured goods to the U.S. during the same period. Thus, the development of Sino-U.S. trade has a positive impact on the job market in the U.S.. By contrast, instead of improving the employment situation in the U.S., the RMB appreciation proposed by the U.S. might even have a negative effect.

Using input-output tables of China and the U.S., this paper has calculated the pollution embodied in trade and structure of pollution, the balance of emissions embodied in trade （BEET） and the pollution terms of trade （PTT） for 18 manufacturing sectors of China and the US. between 2001 and 2010. The calculation aims to verify whether China has become a ＂pollution haven＂ in bilateral trade with developed countries represented by the U.S., and whether Chinese exports are ＂dirtier＂ compared with imports from the U.S., and further conducting an industry structure analysis and effect decomposition study on pollution embodied in trade in industrial goods between China and U.S.. Result of our research indicates that according to our calculation of the BEET, China remains a country with environmental deficits in bilateral trade with the U.S. while the gaps between pollution embodied in China＇s export and import are narrowing. Pollution embodied in China＇s export has the tendency of increase before decline while pollution embodied in import demonstrates no significant tendency of decline. Through effect decomposition, we further found that the effect of technology arising from the substantial decline of pollution intensity effectively lowered pollution embodied in export and narrowed the environmental deficits of China in its bilateral trade. The effect of scale arising from growing export volumes significantly increased China＇s environmental deficits while the structural effect arising from changes in the structure of import and export is insignificant in reducing environmental deficits. Our calculation of the PTT led to the finding that China＇s export goods are more pollution intensive compared with import goods and that the structure of US exports to China is cleaner than the structure of Chinese exports to the US., which requires further improvements of China＇s import and export structure.

In the context of economic globalization, territory-based bilateral trade statistics are no longer compatible with the reality of cross-border flow of capital factor and rapid emergence of multinational firms. On the basis of survey of literature studies, this paper has created a three-country model of bilateral trade based on ownership principle and demonstrated that ownership-based statistical system under this model can reflect bilateral trade volume and balance more objectively, truthfully and comprehensively. In addition to theoretical demonstration, this paper has revaluated China-US trade balance using ownership-based statistical methodology and the result indicates that the existing statistical system of trade severely overestimates the real level of China-US trade balance and FDI in China is a major reason behind increasing China-US trade surplus.

Based on the basic trade gravity model and Xinjiang＇s practical situation, new explanatory variables （GDP, GDPpc and SCO） are introduced to build an extended trade gravity model fitting for Xinjiang＇s bilateral trade. From the empirical analysis of this model, it is proposed that those three variables affect the Xinjiang＇s bilateral trade positively. Whereas, geographic distance is found to be a significant factor influencing Xinjiang＇s bilateral trade negatively. Then, by the extended trade gravity model, this article analyzes the present trade situation between Xinjiang and its main trade partners quantitatively in 2004. The results indicate that Xinjiang cooperates with its most trade partners successfully in terms of present economic scale and developing level. Xinjiang has established successfully trade part- nership with Central Asia, Central Europe and Eastern Europe, Western Europe, East Asia and South Asia. However, the foreign trade development with West Asia is much slower. Finally, some suggestions on developing Xinjiang＇s foreign trade are put forward.

The bilateral trade barrier should include not only the geographical distance, but also the trade cost incurred by the transnational cultural heterogeneity. This paper takes the genetic distance, the measure of the genetic divergence between ethnic groups to a recent common ancestor, as the measure of cultural heterogeneity, and explains the validity of this measure. It uses the national weighting method to calculate the genetic distances between China and 110 countries, and carries out an empirical analysis of panel data from 1996 to 2010 on the basis of the gravity model of trade. According to the results, when variables such as geographic distance are controlled, the genetic distance has a significant impediment on bilateral trade flows, and the impediment shows an increasing trend with the passage of time. There is a substitution effect between the impacts of genetic distance and geographic distance on the bilateral trade. Further analysis shows that the negative impact of the genetic distance on the trade flows between China and 24 developed countries is more significant. This paper uses the genetic distance among the main ethnic groups in the year of 1500 as instrumental variable, and the panel IV estimation solves the problem of endogenity of the variables. The empirical results are robust.

The Sino-U.S. trade imbalance and the related debate on RMB appreciation have attracted much attention in recent years. Judging objectively, however, the trade imbalance does not necessarily result in an imbalance in the distribution of trade benefits. By analyzing the distribution of benefits in Sino-U.S. trade from 1978 to 2007, this paper finds that bilateral trade has brought positive benefits to both sides, differentially in terms of production and consumption. Simply put, China has gained benefits for production yet suffered in terms of consumption, whereas the opposite is true for the U.S.. Moreover, even during periods in which the U.S. experienced a trade deficit, its citizens gained larger total individual benefits than those in a period of trade surplus. We argue, therefore, that appreciation of the RMB would reduce the trade benefits for both sides by almost the same margin, bringing little benefit to the United States.

A consensus is still to be reached regarding the relationship between trade, growth, and the environment in either the existing theoretical models or previous empirical analyses. By using a Sino-Korean case study, we expect this work to contribute to the theoretical and empirical knowledge of the relationship between trade, growth and the environment. In this paper, four types of simulation are executed by applying a Sino-Korea CGE model. The results reveal that an increasing volume of bilateral trade boosts the real GDP at a decreasing rate. Different degrees in the volume of increase of bilateral trade produce welfare gains for Chinese households, i.e. more household spending. Welfare increases at a decreasing rate when the degree of bilateral trade growth increases less stringently, while in Korea there are welfare losses (less household consumption) when the bilateral trade target becomes increasingly stringent. Moreover, the investment gains in the economy tend to rise more sharply as the degree of bilateral trade growth increases less stringently in China. The investment tends to decrease at a proportional rate when the target bilateral trade volume becomes more stringent and the changes in the gross investment become more significant in Korea. In addition, the aggregate production shows a tendency to increase at a proportional rate with a more stringent target bilateral trade volume and when there are considerable changes in gross production. Furthermore, the impact of most production sectors can benefit China, but have a negative impact on Korea. Meantime, the simulations highlight that import growth increases carbon emissions at a decreasing rate, and export growth increases carbon emissions. According to our policy findings, policy makers should be advised to consider the third trade policy (Scenario c), which maintains a reasonable economic growth but at the expense of investment and welfare.