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Sino-Latin American trade have increased substantially for decades. However, the increasing trade imbalances between China and several Latin American countries have yielded growing trade frictions. In this paper, we re-calculate the bilateral trade balance using the value-added content in trade and measure the contribution of Sino-Latin American trade to economic growth. The results show that gross trade statistics seriously overestimate the real bilateral trade imbalance, and China's trade surplus with Mexico decreased by over 50%. The composition of Sino-Latin American trade suggests that most Latin American economies are complementary with Chinese economy. The South-South trade has been increasingly important for both China's and Latin America's economic development. We foresee an optimistic future of relations and continuously increasing trade between China and Latin America. Meanwhile, more efforts should be made to settle trade frictions and intensify Sino-Latin American relations. [ABSTRACT FROM AUTHOR]

Breast cancer is the most common cancer, and triple‐negative breast cancer (TNBC) has the highest metastasis and mortality rate among all breast cancer subtypes. Rujifang is a traditional Chinese medicine formula with many years of clinical application in breast cancer treatment. Here, we aim to investigate the effects of Rujifang on circulating tumor cell (CTC) dynamics and the tumor microenvironment in a ZsGreen/luciferase double‐labeled TNBC orthotopic model. We report that the number of CTCs monitored by in vivo flow cytometry (IVFC) strongly correlates with disease progression. Rujifang treatment decreased the number of CTCs and suppressed the distant metastasis of TNBC. Moreover, immunofluorescence analysis revealed that Rujifang treatment could affect the tumor microenvironment by downregulating Kindlin‐1, which has been reported to promote metastasis of TNBC. Our study provides evidence of the anti‐metastatic effect of Rujifang against TNBC in an animal model using fluorescent cell lines. The results suggest the potential therapeutic value of Rujifang as an anti‐metastatic drug, however, further clinical trials are needed to validate these findings in humans. [ABSTRACT FROM AUTHOR]

China's economic growth slowed down in 2022 due to the COVID-19 pandemic and the corresponding measures. There are great uncertainties in China's economic development in 2023. It is expected that China's medium and long-term economic growth rate will show a wavy downward trend. Based on input-output technology, econometrics, prosperity analysis, expert analysis, and scenario analysis, this study proposes a systematic integrated factor prediction approach on annual GDP growth. Through analysis of China's economic growth in 2022 and the current situation worldwide, China's economic growth rate is predicted to be about 6.0% in 2023, reverting to the normal level. The policy recommendations are further put forward based on the analysis, including strengthening the adjustment of macro-policy, implementing proactive fiscal policy and prudent monetary policy, boosting domestic consumption, increasing employment and promoting investment, striving to stabilize the macro-economic market, preventing and defusing risks in major fields, and leveraging China's advantages in the global industrial chain. [ABSTRACT FROM AUTHOR]

Vertical specialization (VS) is often measured by the import contents of the exports, using an input–output (I–O) framework. Half of China's exports are processing exports, which largely depend on imported intermediate inputs and tie up upstream as well as downstream trade partners. Thus, one would expect to find strong VS for China. Using the ‘ordinary’ I–O tables, however, this is not the case. Because the production of processing exports is only a small part of total production, the average input structure in the I–O table hides the typical features of processing exports. Using adapted, tripartite I–O tables (for 2002 and 2007) in which the processing exports have been singled out, indeed reveals the expected strong VS in China. [ABSTRACT FROM AUTHOR]

Using the input-output tables for water conservancy for the nine major river basins in China in combination with linear programming techniques, we calculate the shadow prices of industrial water and productive water in the nine river basins. After the results are subjected to factor analysis, the shadow prices of industrial water and productive water are obtained for each Chinese province in 1999. Then, nonlinear models for calculating the shadow price of water in specific counties are given. They appear to be valuable tools for setting reasonable water prices and establishing a market for water in China. [ABSTRACT FROM AUTHOR]