Current Issue : April-June Volume : 2026 Issue Number : 2 Articles : 5 Articles
Agriculture continues to play a significant role in Tanzania’s economy, offering employment opportunities, ensuring food security, and generating revenue through exports. In recent years, China has emerged as one of Tanzania’s key trading partners. The primary exports from Tanzania to China include agricultural products such as tobacco, cashew nuts, coffee, and sesame. Despite the optimistic prospects, the trade relationship encounters strategic and structural challenges that necessitate further analysis. This research utilizes a SWOT analysis to assess the strengths, weaknesses, opportunities, and threats associated with agricultural trade between Tanzania and China. The analysis is grounded in data derived from a review of trade reports, government publications, statistical databases, and other relevant literature. The results indicate that Tanzania possesses numerous advantages, including fertile land, a favorable climate, and China’s increasing demand for food. However, issues such as inadequate infrastructure, limited processing capacity, and an inefficient bureaucracy continue to undermine competitiveness. Opportunities arise from China’s escalating food requirements, investments in agro-processing, and the exchange of technology between the two nations. Conversely, fluctuations in international prices, stringent quality standards, and competition from other exporting countries pose significant threats to sustained growth. The findings of this study suggest that the agricultural trade between Tanzania and China holds considerable promise. Nevertheless, to fully capitalize on this potential, strategic reforms, value-added investments, and enhanced collaboration between the two countries are essential....
This study investigates the determinants of global textile waste trade by comparing the influence of traditional geographic distances with emerging nongeographic distances, including sustainability, resource intensity, and income disparities. Employing a cross-sectional gravity model framework for the year 2024, the analysis draws on bilateral trade data between the top 34 textile waste exporters and their importing partners. Findings reveal that while geographic distance remains statistically insignificant, nongeographic dimensions such as income and resource intensity distances play a critical role in explaining variation in trade volumes. This suggests a shift in global trade dynamics, where institutional and environmental asymmetries outweigh traditional physical distance. The study introduces the concept of “circular advantage” as a strategic lens to assess trade competitiveness in waste-related sectors. The implications are vital for trade and sustainability policymakers seeking to realign waste governance with circular economy goals....
This study examines the dynamic impact of the U.S.–China trade war and geopolitical risks on African stock market returns. Using Wavelet Coherence analysis and the Quantile Vector Autoregression (QVAR) model, we capture both time–frequency dynamics and regime-specific connectedness. Drawing on data from seven major African stock exchanges, Geopolitical Risk (GPRI) and U.S.–China Trade Tension (UCTI) indices from January 2007 to February 2024, the results reveal that African markets are not immune but exhibit state-dependent vulnerability. During calm market conditions, trade tensions dominate as the main shock transmitter, whereas geopolitical risks become more influential in crisis periods. The Johannesburg Stock Exchange (JSE) emerges as a key transmitter of shocks, while the Nigerian Exchange (NGX) remains the largest receiver. These findings underscore the need for targeted regional risk management and coordinated policy responses to enhance Africa’s financial resilience against external shocks....
Africa has become import-dependent for staple food cereals over the past five decades. It is an ongoing dispute if increasing import dependency in Africa is causing food security risks for its population fueled by recent increases of uncertainties around international trade caused by geopolitical tensions and global trade policy disruptions. We call for an all-African approach based on regionally coordinated domestic support policies to increase Africa’s self-sufficiency and reduce international imports. We argue that the recent trend towards self-sufficiency as the overarching goal is not a sufficient strategy to improve food security because domestic support policies distort markets, increase prices, and set wrong incentives. Trade distorting policies risk undermining the benefits of regional and international trade for food security because often only trade can provide an efficient insurance mechanism against local supply shocks. A regional policy coordination is required for country-specific policy decisions framed by an all-African trade policy framework to balance production and imports primarily at the continental level. If a food self-sufficiency approach — for political reasons — is to be pursued, it should be in a way that is less distortive of the domestic and regional markets....
The study uses the rolling window technique to assess the causal link between the oil price (OP) and the Baltic Dry Index (BDI) from 2000 to 2022. The results support the competitive market hypothesis, suggesting that OP and BDI have a significant relationship. The results indicate that knowledge of potential changes in OP can help to lessen the risk of abrupt changes in BDI. Similarly, information on various sources of OP changes can assist the shipping industry in taking practical measures to minimize the impact of shocks. The stability of global maritime trade is vital to the global economy because its massive shares and abnormal behaviour can negatively affect the oil market and international trade. This helps ensure timely measures are taken to avoid unforeseen events and maintain stability. Therefore, the study is a valuable contribution to the shipping industry stakeholders in terms of information about the specific period with underlying factors....
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