With the current sources of US supply chains being more diversified than before, China’s share in US goods imports is declining while Mexico becomes the largest exporter to the US market in 2023. However, can Mexico use this trade diversion to successfully outweigh China in US supply chains? This paper thus investigates whether the Mexico manufacturing sector is competitive enough to completely replace its Chinese counterparts and rise to a strategically vital supplier for the US economy. Based on multiple empirical evidence, we find that although US supply chain sources are shifting from China to Mexico, the major part of the value added of Mexican exports to the US market is generated in China. Moreover, our evidence shows that Mexico’s exports to the US concentrate on low-skill sectors, while China’s mainly consists of high-skill goods. Further discussion shows that the current US trade shift is highly likely due to China’s FDI inflows to Mexico’s traditionally strong export sector, motor vehicles. However, this shift is not significant enough for Mexico to become a capable substitute for China in the US supply chains. We conclude that the "trade diversion" strategy alone cannot support Mexico’s role in reducing the US supply chain dependence on China. Therefore, the US should better consider how to establish a sustainable trade framework that fosters stable cooperation with China.

In this article, we discuss a new proposed concept of economic engineering that seeks to innovate a new model by combining the theories of Karl Marx and Adam Smith, taking into consideration main economic factors to create a sustainable and inclusive economic system that addresses existing challenges and provides a roadmap for future economic growth. Through a brief analysis of the existing gaps between Marxist and Smithian economics, we developed a new economic matrix that leverages the strengths of both theories while also incorporating the latest insights from modern economic research. Our novel approach to economic engineering represents a fresh perspective on the economy and offers practical tool for addressing the most pressing challenges facing society today.

Using a desktop review of literature, the effect of illegal capital flows on the economic performance of Sub-Saharan Africa is examined. The review focus on articles with attention to illegal capital flows and their effects on the economic performance of Sub-Saharan Africa as a whole. By way of sampling method, purposive sampling was used, and so the desktop review focused purposively on articles published on issues of illicit financial flows and their effects on the economic performance of Ghana and Sub-Saharan Africa as a whole. The review found a high propensity of trade mis-invoicing and thus high illicit financial flows, transactions across boarders from developing countries and for that matter Sub-Saharan Africa to the developed economies. Therefore, the research recommends that customs divisions in sub-Saharan Africa should have up-to-date commodity-level world pricing information to make relatively better comparisons to detect mis-pricing and avoid such falsification and manipulation in trade. Given the high propensity of trade mis-invoicing resulting in high illicit financial flows, we recommend that cross-border transactions from developing sub-Saharan African countries be subjected to heightened scrutiny to curtail any potential traces of falsification in trade for tax evasion.

The purpose of the study was to examine teachers’ perception on repairing of clothes in Agona Kwanyako in the central region of Ghana. Quantitative research approach and Descriptive survey design were adopted for this study. The population of this study comprised teachers in the seven public Basic Schools, one Senior High School, two private Basic Schools and one Vocational and Technical School in Agona Kwanyako. Krejcie and Morgan chart was used to sample hundred and fifty-five (155) out of two hundred and sixty (260) teachers in Agona Kwanyako schools. The main instrument for data collection and analysis was questionnaire. All the questionnaires retrieved were prepared by sorting and coding. They were then entered into IBM SPSS Statistics 2017 version 25.0 for data to be analysed. The SPSS software was used to generate mean, standard deviation, frequency and percentages on the data because it is fast, energy saving and gives a consistent and accurate statistical representation of raw data. Findings were then discussed in relation to the research question for the study. Data were presented using tables and charts. The study indicated that the perception one holds about the repair of clothes affects how they view the act and their subsequent adaptation of the exercise. The perception teachers hold about clothes repair was that, clothes protect the environment, create employment and alleviate one from poverty, helps clothes stay trendy and can give one a sense of satisfaction. It can also be concluded that clothes that are normally used such as dresses, shirts and trousers are the types of clothes mostly repaired. Teachers have positive perception about clothes repair. Based on this it is recommended that Home Economics teachers should team up with other teachers to inculcate proper clothes care in their students. Also, clothes should be made in such a way that repairing is easier and possible based on the findings on the types of clothes that are mostly repaired.