It is commonly believed that developing markets require inflows of foreign capital to achieve their growth targets; however, recent research has shown that these inflows are either ineffective or even harmful to the economy. A surge in foreign inflows, such as foreign aid, remittances, and foreign direct investment, into developing markets, particularly, have been connected to the Dutch disease hypothesis. A sharp rise in such inflows will stimulate real exchange rate in receiving nations due to the uptick in the non-tradable sector and the downturn in the tradable sector. The purpose of this research is to investigate, using quantitative approaches, the variations of real exchange rate adjustments that occur in response to official development assistance, foreign direct investments, and international remittances flowing into developing markets. To investigate the onset of Dutch Disease over the period 2001–2020, this analysis makes use of panel data estimation techniques in the form of fixed and random effect models The findings of a substantial amount of econometric investigation revealed that Dutch Disease is present in developing countries. The scope of the study has been broadened to include an investigation of the expansion of both tradable and non-tradable industries. According to the findings of this study, larger inflows of foreign capital slow growth in the tradable sector (the industrial sector), while simultaneously boosting growth in the non-tradable sector (Service sector).

Despite a number of adverse factors, China’s steel industry has maintained a rapid growth trend. China continues to consume two-thirds of the world’s iron ore, the majority of which is imported. In this context, Chinese steel companies have begun to consider integrating their supply chains to increase efficiency and lower costs. However, the increasingly volatile international environment makes this an extremely risky proposition. As a result, the issue of how Chinese steel producers should participate in global supply chain integration has emerged as a critical research question that requires investigation. In this paper, we examine the supply chain integration problem using a typical China–Australia steel trade as an example. Specifically, we discuss in detail whether relevant firms should continue to promote supply chain integration in the Chinese–Australian steel industry, as well as the decision boundary of influence, using evolutionary game theory and policy risk cost factors. The empirical analysis demonstrates that policy risk has a range of effects on different types of steel firms. Even when international tensions are considered, smaller steel companies may retain a greater willingness to integrate their supply chains. Overall, the above findings can provide necessary decision support for enterprises to formulate supply chain management strategies.