Search Results (2,058)

Antimony is a critical metal for future industries, energy, and national defense. China was once the world’s largest exporter of antimony ore. However, in recent years, China’s antimony ore production has declined, driving profound transformations and restructuring in the global antimony trade landscape. This study integrates industry analysis with complex network topology methods, applying industrial concentration indices, oligopoly indices, and network topology indicators to global antimony trade data from 1994 to 2024 to analyze the evolution of China’s trade position and competitive edge. The findings reveal that the global antimony trade operates as an oligopolistic market. Although China’s resource-endowment advantage is diminishing, it retains a strong position in downstream, high-value-added segments. China’s competitive edge has shifted from resource exports to processed product exports, demonstrating an evolutionary pattern of “continued strength downstream and gradual weakening mid- to upstream.” By combining industry analysis and network topology, this study offers a novel perspective for assessing competitive edges in critical metals and provides scientific references for resource-rich countries in governing their advantageous mineral resources and formulating related policies. Full article

Critical minerals are central to industrial strategies in the Global South, but evidence on how such policies reshape domestic production is limited. This paper maps Indonesia’s nickel ecosystem before and after the 2014 export ban using input–output multipliers and labor intensity from the 2010, 2016, and 2020 input–output tables. We provide a descriptive account of nickel’s evolving economic trajectory during the downstreaming push. Three patterns stand out. Forward linkages declined from 16 to 8 and backward linkages moved from 75 to 73, suggesting a narrower structure with greater specialization in higher value, more capital-intensive activities. Output multipliers rose most in sectors that support the electric vehicle supply chain, including professional and technical services, machinery, fabricated metals, transport equipment, energy, and finance. In contrast, the labor multiplier fell from about 6514 to 3366 jobs per IDR 1 trillion of final demand, implying a higher value added alongside lower employment intensity. Overall, downstreaming appears to work through structural concentration and growth in complementary sectors rather than broad-based diversification. Complementary policies in skills, regional development, and energy infrastructure are therefore critical for inclusive industrial transformation. Full article

Oxidation of RNA has gained interest from the community due, in part, to a link in the progression/development of disease as well as other biological processes such as apoptosis, ageing, hibernation, and signalling, amongst others. Different types of RNA with varying functions and size have been shown to be oxidized in vivo, including ribosomal RNA (rRNA), transfer RNA (tRNA), microRNA (miRNA), messenger RNA (mRNA), and mitochondrial RNA (mtRNA). This process occurs from reactions between reactive oxygen species (ROS) and all biopolymers, including RNA, from endogenous as well as exogenous sources. As a consequence, mechanisms that handle oxidized RNA are important, and enzymatic degradation is the most commonly studied process to date. This review focuses on the ribonucleases that have been shown to play a role in the degradation of oxidized RNA. While emphasis is placed on, arguably, the most common oxidatively generated chemical modification, 8-oxo-7,8-dihydroguanosine (8-oxoG), the products that arise from the oxidation of other canonical nucleosides as well as naturally occurring modifications are also discussed in the context of RNA oxidation. Processing of oxidized RNA via its enzymatic degradation is likely the main route, but a potential role of other proteins involved in the handling of oxidized RNA is hypothesized, e.g., helicases, export proteins, and extracellular environments. We postulate that this is an area with great potential for discovery. Full article

The rapid expansion of the digital economy is reshaping the global production and trade system, bringing new opportunities for developing economies seeking to enhance their international competitiveness, while also posing structural challenges. This study focuses on China, a typical emerging economy, and uses provincial panel data from 2015 to 2024 to empirically examine how digital transformation and technological innovation jointly affect foreign trade competitiveness. The core variables are measured as follows: The digitalization level is constructed using principal component analysis (PCA) based on three dimensions: digital infrastructure, digital industrialization, and industrial digitization; technological innovation is proxied by the logarithm of technology market transaction volume. This study employs a fixed-effects model with interaction terms to estimate the independent effects of digitalization and technological innovation and to explore their interaction within the framework of the digital economy. The empirical results show that both digital transformation and technological innovation have a significant positive impact on foreign trade competitiveness. Specifically, a 10-point increase in the digitalization index is associated with an approximately 0.10-unit increase in the trade competitiveness index, and a 1% increase in technological innovation input is associated with an increase of 0.032–0.042 units. However, their interaction coefficient is significantly negative (−0.001, p < 0.01), indicating a substitution effect: an increase in technological innovation investment weakens the marginal contribution of digitalization to export competitiveness, and vice versa. Further heterogeneity analysis shows that the direct effects of digital transformation and technological innovation are more significant in less developed regions, while the substitution effect is stronger in economically developed regions. The findings suggest that policies promoting digital transformation and technological innovation should avoid a uniform approach and instead adopt coordinated and phased strategies that are suitable for regional development conditions. By providing new empirical evidence on the interaction between digital economy development and innovation investment, this study enriches the existing literature and offers policy implications for emerging economies seeking to achieve sustainable foreign trade development under increasing global trade uncertainty. Full article

Water, energy, and food (WEF) are intricately linked through economic activities in the Yangtze River Delta, creating increasingly strong interdependencies. Tracking the consumption and transfer of the water–energy–food (WEF) nexus across regions and sectors is essential for the synergetic management of these critical resources. To characterize the WEF nexus from both consumption and production ends, this study develops a quantitative accounting framework based on a multi-regional input–output model. The proposed framework integrates direct WEF nexus consumption with embodied consumption driven by final demand and further investigates transfer patterns induced by intermediate inputs. The results indicate that the nexus-oriented consumption between water, energy, and food exceeds individual resource consumption. In particular, food-related water resource consumption in the Service sector in Jiangsu is 28 times that of individual water consumption. The embodied consumption of WEF accounts for 42%, 31%, and 47% of the total consumption, respectively. In particular, the embodied consumption of the WEF nexus caused by urban household consumption in Shanghai is much higher than that in other regions. Manufacturing is the resource-exporting sector, while Agriculture and Construction are the resource-importing sectors. Shanghai is a major resource-importing city, while Zhejiang is a typical resource-exporting city. The results also suggest that Jiangsu–Shanghai and Jiangsu–Anhui are regions with strong connections of WEF nexus transfer, while Agriculture–Manufacturing, Manufacturing–Construction, and Service–Construction are sectors with strong connections. These results highlight the complex interplay between water, energy, and food across the Yangtze River Delta. Given this, this study recommends enhancing resource regulation capabilities and paying attention to strongly correlated regions or sectors. Full article

This study examines selected factors influencing white maize price movements in South Africa over the period 1994–2024. Given the importance of white maize for food security, understanding the drivers of producer price dynamics is essential for effective policy formulation and managing price stability. Annual time-series data are analysed using an Autoregressive Distributed Lag (ARDL) modelling framework, complemented by bounds testing, an error-correction model, Toda–Yamamoto causality and structural break tests. The bounds test confirms the existence of a stable long-run cointegrating relationship between maize prices and the selected explanatory variables. In the short run, imports and fuel prices exert significant upward pressure on maize producer prices, while lagged fuel prices and rainfall reduce prices. In the long run, imports and fuel prices remain statistically significant determinants, whereas maize production, exports, the exchange rate, and rainfall are insignificant. Complemented with the structural break tests that identify regime shifts in the early 2000s, 2012, and 2021, causality results indicate that imports, rainfall and fuel prices lead to Granger causality in maize producer prices. Collectively the findings reinforce the conclusion that white maize prices in South Africa are governed by long-run structural relationships, while short-run price movements reflect temporary adjustments rather than permanent shifts in market fundamentals. An integrated, long-horizon analysis that jointly incorporates climatic, trade, and macroeconomic determinants within an ARDL framework is provided by the study. Therefore, the findings have important implications for climate-risk management, transport cost containment, trade and price-stabilisation policies. Full article

Timber sale prices are influenced by multiple tract, product, and transaction characteristics. This study evaluates the effects of species composition, product class, sale method, harvest type, timber quality, and average tree diameter on timber stumpage prices using timber sale records from Alabama between 1 January 2010 and 31 December 2019. Prices were modeled on a per weight unit basis using a generalized linear model with a Gamma distribution and logarithmic link. Results indicate that larger average diameters were consistently associated with higher prices across most product classes. Harvest type also influenced prices, with salvage operations yielding prices approximately 8.3% lower than thinning operations. Timber quality had a moderate effect: good-to-excellent quality timber sold for about 4.8% higher prices than poor-to-fair quality timber. Sale method was an important determinant of price outcomes. Negotiated sales generated significantly lower prices than sealed-bid sales, averaging approximately 17% lower overall. However, interaction analysis revealed that negotiated sales produced higher prices for mixed hardwood sawtimber, likely reflecting the diverse end uses of these products. Regional effects were also evident, with higher prices observed in the southwestern portion of the state, likely due to proximity to the Port of Mobile and associated export markets. These findings highlight the importance of both tract and transaction characteristics in determining timber prices and provide guidance for landowners and forest managers when selecting sale strategies and management practices. Full article

Background: This study examines long-term trends in intra-EU trade among the Visegrad Group (V4) countries from 2004 to 2023, focusing on changes in export specialisation and comparative advantages in the context of trade resilience and sustainability. Methods: Trade performance is analysed at both the aggregate level and across SITC product groups, using Eurostat data. The analysis applies export and import dynamics, trade balance, export–import coverage ratio, trade balance index, and the symmetric revealed comparative advantage index. Results: The findings show significant heterogeneity in specialisation and competitiveness across the V4 countries. Poland reveals competitive advantages and trade stability in agri-food products. After European Union (EU) accession, comparative advantages and export specialisation emerged mainly in manufacturing and selected medium- and high-processed goods (SITC6–8), especially in Czechia and Hungary, and increasingly in Poland. Poland and Czechia shifted most clearly towards higher value-added products, Hungary followed a mixed pattern, while Slovakia remained narrowly focused on the automotive sector. Export competitiveness is closely linked to the business cycle, with upturns strengthening advantages and downturns causing only temporary weakening. Conclusions: The V4 intra-EU trade exhibits structural resilience, as key competitive positions persist and recover after economic shocks. Only Slovakia’s highly concentrated specialisation may entail risks for sustainable growth. Full article

Parboiling enhances the nutritional, structural, and economic value of rice, yet its adoption in the United States remains limited despite rising domestic and export demand. This review summarizes key stages of the parboiling process and their effects on milling yield, grain integrity, nutrient retention, and glycemic response. It outlines major industry challenges, including high energy and water use, uneven heating and drying, handling of defective kernels, limited automation in smaller mills, labor shortages, and emerging climate-related risks. Advances such as vacuum soaking, infrared and microwave-assisted drying, smart sensors, and AI-driven control systems show strong potential to improve efficiency and product quality. Circular-economy strategies, including biomass energy recovery, water reuse, and by-product valorization, offer additional sustainability gains. Continued research, modernization, and policy support are critical to strengthen competitiveness and positioning of the U.S. parboiled rice sector for a more resilient and sustainable future. Full article

The reconstruction of detrital flux, paleoclimate, paleosalinity, paleo-primary productivity, paleohydrodynamic conditions, and paleo-water depth enhances understanding of sedimentary processes and their drivers during deep-time greenhouse-icehouse transitions, such as the Eocene–Oligocene transition. This study uses detailed geochemical analyses of major oxides and trace elements in sediment samples collected from the Beni Suef Formation (Bartonian–Priabonian) and the Maadi Formation (Priabonian) in the southern Tethys shelf (Egypt, northeastern Desert). Detrital proxies, including Si/Al, Ti/Al, and Zr/Al, indicate an enhanced influx of terrigenous sediments in the middle portion of the Qurn Member of the Beni Suef Formation, as further supported by noticeable facies variations, particularly the transition from shale to coarser silt- and sand-sized fractions. Paleoclimate indicators (Sr/Ba, Rb/Sr, K₂O/Al₂O₃, and Sr/Cu) point to a climatic shift from humid to arid conditions, consistent with the regional Late Eocene aridification across the Tethyan realm. Paleosalinity proxies (Sr/Ba, Ca/Al, and Mg/Al×100) suggest episodic intensification of open-marine influence and a reduction in freshwater input, with an upsection increase in Sr/Ba ratios, reflecting phases of enhanced marine water settings or decreased terrestrial runoff. Primary productivity was evaluated using multiple geochemical proxies, including P, Ni/Al, Cu/Al, P/Al, P/Ti, and Babio ratios. These collectively indicate generally low primary productivity interrupted by intervals of enhanced paleoproductivity or increased organic matter export to the sediments. This interpretation is further supported by the low total organic carbon (TOC) values. These results highlight the sensitivity of the southern Tethys shelf to Middle–Late Eocene climatic variability and the key role of prevailing paleoenvironmental conditions in controlling sediment supply, water chemistry, and biological productivity. Full article

Sustainable economic development involves reducing heavy reliance on fossil energy resources and their associated environmental impacts. The complexity of this task increases significantly in oil-producing countries, given the hydrocarbons’ role in economic growth, GDP, and exports. In such cases, decoupling economic growth, energy consumption and emissions should be achieved gradually to ensure a smooth transition, which will require the development of a reliable approach. This study aims to develop a strategy to identify potential pathways for economic growth and energy decoupling in the oil industry. Given the characteristics of the transition process, the feasibility of long-term solutions remains uncertain, and special measures are needed to enhance the reliability of decisions. An approach that combines assessing the economic–environment–emissions nexus, developing fuzzy transition scenarios, and applying multi-criteria and probabilistic decision-making methods has been designed to identify reliable pathways for the energy transition and sustainable development in oil-dependent countries. This allows us to create reliable and compromise scenarios that consider social, technological, environmental, economic and political factors. This study employed Azerbaijan as a case study. Analysis of key indicators revealed strong correlations between country GDP, energy production, and emissions. The MCDM calculations of the obtained feasible scenarios show the optimality of the scenario assuming a decrease in oil production while maintaining natural gas as usual, significantly increasing solar, and moderately increasing wind and hydro energy production. Decisions reflect global economic and energy-sector trends, expert opinions, and the current realities of Azerbaijan’s economy. Full article

Kazakhstan is one of the world’s major wheat producers and exporters, playing an important role in regional and global food security. However, increasing quality requirements in domestic and export markets have exposed limitations in the country’s capacity to consistently supply high-quality spring bread wheat (Triticum aestivum L.). This review aims to assess the current status of spring wheat grain quality in Northern Kazakhstan, identify the main factors driving its variation, and outline pathways for quality improvement. The analysis is based on published literature, official statistics, national quality standards, and recent data on wheat production, grading, breeding systems, agronomic practices, and trade patterns. The review reveals that wheat production is dominated by medium-quality grain (primarily class 3), while high-quality classes suitable for premium and improver markets represent a small share. Compared with major exporters such as Canada, the United States, and Australia, Kazakh wheat is generally inferior across key quality parameters. Structural constraints include the limited integration of quality assessments within breeding programs, insufficient laboratory infrastructure, weak agroecological zoning by quality classes, and suboptimal agronomic management, particularly regarding nitrogen use. Environmental heterogeneity and climate change further influence the yield–quality balance. Overall, the findings suggest that improving wheat grain quality in Kazakhstan will require coordinated advances in breeding, agronomy, institutional capacity, and market alignment, enabling a gradual shift toward a more competitive, quality-oriented wheat production system. Full article

This study aimed to assess the economic-trade sustainability of crab exports from Canada, Vietnam and China by contrasting frozen (HS 030614) and non-frozen (HS 030633) segments in terms of destination diversification and revealed competitiveness. In this study, economic-trade sustainability is interpreted as the structural coherence between destination diversification, revealed competitiveness, and the trade conditions that support export continuity in perishable products. A quantitative, descriptive within-country design was implemented using ITC Trade Map secondary data for 2020–2024. Destination concentration was measured with the Herfindahl–Hirschman Index (HHI), competitiveness with symmetric revealed comparative advantage (SRCA), structural orientation with a Relative Specialization Index (RSI), and an integrated positioning matrix combined mean HHI and SRCA with export-weighted centering and confidence intervals. The results indicated persistently high concentration in Canada across both segments, with frozen exports locked into a United States corridor and non-frozen exports becoming increasingly China-dependent. China exhibited moderate concentration and a more regionally dispersed portfolio, alongside stable competitive advantages in several Asian markets, while showing selective disadvantages in some Western destinations. Vietnam displayed the highest structural vulnerability, particularly in the non-frozen segment, with extremely high HHI, abrupt destination shifts and competitiveness confined to a narrow corridor. Overall, preservation-form segmentation shaped distinct risk architectures, and sustainability depended on the joint configuration of diversification and competitive strength. Full article

This study examines the long-run relationship between the external terms of trade (TOTs) and real GDP of the services sector in a small open economy, focusing on the Peruvian economy. Although the services sector concentrates the largest share of employment and urban income, its exposure to persistent external price cycles remains relatively understudied in sector-specific empirical research. Building on the notion that TOTs operate as an external anchor shaping macroeconomic conditions beyond export activities, this paper evaluates whether sustained external shocks are structurally linked to services-sector performance. The analysis employs a Johansen cointegration framework and a bivariate Vector Error Correction Model (VECM) using quarterly data for the period 1996–2024. This approach allows for distinguishing long-run equilibrium relationships from short-run adjustments without imposing strong causal assumptions. The results indicate the presence of a stable long-run relationship between the TOTs and services-sector GDP, with adjustment dynamics consistent with a gradual absorption of external shocks. From a sustainability perspective, the findings suggest that the expansion of the services sector is not independent from external trade conditions, highlighting the relevance of structural resilience under recurrent international price volatility. This study contributes to the literature by providing sector-level empirical evidence for a resource-dependent economy and offers a replicable analytical framework for examining structural sustainability in other small open economies with similar productive characteristics. Full article

Passion fruit (Passiflora edulis Sims) is an important economic fruit crop in Rwanda grown for both domestic consumption and export markets. However, viral diseases pose a significant threat to passion fruit production. Among these, passion fruit woodiness disease (PWD) is the most destructive, causing yield losses of up to 100%. A survey was carried out to assess the distribution of Ugandan passiflora virus (UPV; Potyvirus passiflorafricanse) in major passion fruit growing areas. UPV is one of the major viruses known to cause PWD. The incidence of viral symptoms observed in the field did not differ significantly among districts, ranging from 81% in Rusizi to 100% in Rwamagana. However, mean symptom severity scores varied significantly between districts, with the highest severity recorded in Kayonza (3.1) and the lowest in Rulindo (1.9). Serological analysis detected potyviruses in 44% of the total samples (n = 216), including 43% of symptomatic (n = 144) and 47% of asymptomatic (n = 72) leaf samples collected from passion fruit fields. Further analysis using Reverse-Transcription Polymerase Chain Reaction (RT-PCR) detected UPV in 56% of symptomatic (n = 126) and 53% of asymptomatic (n = 60) samples, corresponding to 55% of the total samples tested (n = 186). The virus was present in all surveyed districts, with UPV infection prevalence of 89% in Rusizi, 75% in Rwamagana, 74% in Karongi, 59% in Nyamagabe, 44% in Nyaruguru, 38% in Kayonza, and 30% in both Gakenke and Rulindo. Fifteen partial coat-protein gene sequences for the Rwandan isolates were obtained. The newly described Rwandan isolates shared 97–99% nucleotide (nt) identity with one another, 89–94% with previously reported Rwandan isolates, 81–97% with Ugandan isolates, and 80–82% with Kenyan UPV isolates, suggesting that the Rwandan virus population is relatively homogenous. Genetic distances among the 15 new UPV isolates and previously reported Rwandan, Ugandan, and Kenyan isolates were very short (0.01–0.03), indicating high sequence similarity. All Rwandan isolates clustered into a single major clade, together with some Ugandan and Kenyan isolates. This close genetic relationship suggests a common ancestry and the regional spread of a single dominant UPV lineage. These findings highlight the need to reinforce seed and planting-material certification systems, as well as the need to enhance farmer capacity through targeted training on viral disease identification and management practices. This is vital to limiting the spread of viral diseases that threaten income security among smallholder passion fruit farmers. Full article