Search Results (42)

Chile is among the leading global exporters of pulp and paper, supported by extensive plantations of Pinus radiata and Eucalyptus spp. This review synthesizes recent progress in the valorization of forestry biomass in Chile, including both established practices and emerging bio-based applications. It highlights advances in lignin utilization, nanocellulose production, hemicellulose processing, and tannin extraction, as well as developments in thermochemical conversion technologies, including torrefaction, pyrolysis, and gasification. Special attention is given to non-timber forest products and essential oils due to their potential bioactivity. Sustainability perspectives, including Life Cycle Assessments, national policy instruments such as the Circular Economy Roadmap and Extended Producer Responsibility (REP) Law, are integrated to provide context. Barriers to technology transfer and industrial implementation are also discussed. This work contributes to understanding how forestry biomass can support Chile’s transition toward a circular bioeconomy. Full article

Globalization and the spread of technological innovations have made world markets and economies increasingly unified and conditioned by international trade, not only for sales markets but above all for the supply of raw materials necessary for the functioning of the production complex of each country. Alongside oil and gold, the main commodities traded include industrial metals, such as aluminum and copper, mineral products such as gas, electrical and electronic components, agricultural products, and precious metals. The conflict between Russia and Ukraine tested the unification of markets, given that these are countries with notable raw materials and are strongly dedicated to exports. This suggests that commodity prices were able to influence the stock markets, especially in the countries most closely linked to the two belligerents in terms of import-export. Given the importance of industrial metals in this period of energy transition, the aim of our study is to analyze whether Industrial Metals volatility affects G7 stock markets. To this end, the BEKK-GARCH model is used. The sample period spans from 3 January 2018 to 17 September 2024. The results show that lagged shocks and volatility significantly and positively influence the current conditional volatility of commodity and stock returns during all periods. In fact, past shocks inversely influence the current volatility of stock indices in periods when external events disrupt financial markets. The results show a non-linear and positive impact of commodity volatility on the implied volatility of the stock markets. The findings suggest that the war significantly affected stock prices and exacerbated volatility, so investors should diversify their portfolios to maximize returns and reduce risk differently in times of crisis, and a lack of diversification of raw materials is a risky factor for investors. Full article

This study examines the symmetric and asymmetric impacts of international trade on consumption-based carbon emissions (CBEs) in the People’s Republic of China (PRC) and the United States of America (USA) from 1990 to 2018. The analysis uses autoregressive distributed lag (ARDL) and non-linear ARDL (NARDL) methodologies to capture short- and long-run trade emissions dynamics, with economic growth, oil prices, financial development and industry value addition as control variables. The findings reveal that exports reduce CBEs, while imports increase them, across both economies in the long and short run. The asymmetric analysis highlights that a fall in exports increases CBEs in the USA but reduces them in the PRC due to differences in supply chain flexibility. The PRC demonstrates larger coefficients for trade variables, reflecting its reliance on energy-intensive imports and rapid trade growth. The error correction term shows that the PRC takes 2.64 times longer than the USA to return to equilibrium after short-run shocks, reflecting systemic rigidity. These findings challenge the Environmental Kuznets Curve (EKC) hypothesis, showing that economic growth intensifies CBEs. Robustness checks confirm the results, highlighting the need for tailored policies, including carbon border adjustments, renewable energy integration and CBE-based accounting frameworks. Full article

This paper investigates the application of artificial intelligence (AI) in forecasting Saudi Arabia’s non-oil export trajectories, contributing to the Kingdom’s Vision 2030 objectives for economic diversification. A suite of machine learning models, including LSTM, Transformer variants, Ensemble Stacking, XGBRegressor, and Random Forest, was applied to historical export and GDP data. Among them, the Advanced Transformer model, configured with an increased attention head size, achieved the highest accuracy (MAPE: 0.73%), effectively capturing complex temporal dependencies. The Non-Linear Blending Ensemble, integrating Random Forest, XGBRegressor, and AdaBoost, also performed robustly (MAPE: 1.23%), demonstrating the benefit of leveraging heterogeneous learners. While the Temporal Fusion Transformer (TFT) provided a useful macroeconomic context through GDP integration, its relatively higher error (MAPE: 5.48%) highlighted the challenges of incorporating aggregate indicators into forecasting pipelines. Explainable AI tools, including SHAP analysis and Partial Dependence Plots (PDPs), revealed that recent export lags (lag1, lag2, lag3, and lag10) were the most influential features, offering critical transparency into model behavior. These findings reinforce the promise of interpretable AI-powered forecasting frameworks in delivering actionable, data-informed insights to support strategic economic planning. Full article

This paper offers a basic analysis for strategic decision-makers of the process when an economy shifts from oil to non-carbon energy exports and zero carbon emissions. The fundamental concept is how to offer environmental performance without causing an economic contraction. The costs and feasibility of solar, wind, and helium closed-cycle technologies are thoroughly and independently compared. Solar panels make up 0.67% of the USD 1.14 trillion total cost of solar energy, which is the capital investment, with panels accounting for 0.51%. Future technical developments are expected to bring down the cost of such solar farms to USD 0.74 trillion. Turbines comprise 66% of the estimated USD 0.67 trillion wind energy costs. At USD 0.36 trillion, helium closed-cycle gas turbines—which account for 0.78% of the overall cost—are essential for stabilising energy output. With a focus on cost viability, this analysis offers direction for Libya’s transition to energy self-sufficiency and export, in support of global carbon reduction targets. It also offers unique insights into areas not previously covered by other studies. This paper’s unique contribution is its economic analysis of the decarbonisation of an entire oil-exporting nation. Full article

The cultivation of soybean is being expanded in traditional areas cultivated with rice, called the lowlands. However, soil characteristics are different from those in the highlands, which influences the exportation of nutrients to the grains. Therefore, this study aimed to determine the physical-chemical and technological characteristics of soybean grains harvested in lowlands in Brazil. Two-year crops (2021/22 and 2022/23) were used with two types of soil preparation (scarified and non-scarified) and six cover crop treatments (oats, clover, ryegrass, fallow, ryegrass + oats, and ryegrass + clover). The influence of these treatments was evaluated in terms of the grain yield, oil and protein contents, oil composition, quality indices (acidity, peroxide, iodine, and saponification), and contents of ash, carbohydrates, and micro- and macronutrients. Grain yield achieved an average of 3829.8 kg ha⁻¹. Soil scarification positively influenced grain yield and contributed to higher protein and oil contents, with maximum values of 32.7 wt% and 27.6 wt%, respectively. The main fatty acids in oil were oleic acid (22.13 ± 1.48–26.32 ± 0.98%) and linoleic acid (36.32 ± 1.57–52.18 ± 1.58%). The macronutrients phosphorus (5.12 ± 0.39–5.79 ± 0.37 kg ton⁻¹), calcium (2.79 ± 0.19–3.05 ± 0.18 kg ton⁻¹), magnesium (2.37 ± 0.14–2.57 ± 0.13 kg ton⁻¹), and sulfur (2.85 ± 0.18–3.19 ± 0.20 kg ton⁻¹), and the micronutrients copper (9.73 ± 1.42–11.68 ± 1.07 g ton⁻¹), iron (111.42 ± 6.86–122.02 ± 5.00 g ton⁻¹), and manganese (43.58 ± 3.34–47.08 ± 2.74 g ton⁻¹) were in agreement with the values reached in the highlands. For potassium (18.87 ± 0.38–29.29 ± 1.44 kg ton⁻¹) and zinc (30.02 ± 2.45–38.00 ± 1.03 g ton⁻¹), soil scarification allows higher levels of absorption. The use of ryegrass as a cover crop allows higher levels of nitrogen absorption, reaching up to 44.93 ± 2.74 kg ton⁻¹. Regarding the acidity (0.19–0.52%), peroxide (9.64–16.39 mEq O₂ kg⁻¹), iodine (85.34–91.91 mg KI g⁻¹), and saponification (182.33–203.74 mg KOH g⁻¹) indices of the oil, all values were obtained in accordance with the scientific literature. The conclusions of this study indicate that it is possible to cultivate soybean in lowlands after developing the proper soil preparation. Consequently, the yields are increased, and grains will benefit from higher protein and oil contents, enhancing soybean quality for commercialization. Full article

A firm’s ability to compete effectively depends on matching its internal operations with various exterior contexts. This research investigated the impact of strategic fit orientation on business agility among female entrepreneurs in Lagos state, Nigeria’s non-oil export sector. This study used a descriptive and quantitative approach to gather information from four hundred and two (402) selected female entrepreneurs actively engaged in non-oil exporting activities in the agribusiness, textile, and information and technology business processing industry. The respondents were purposefully determined, while the data were analyzed using measurement and structural modeling. This study reveals that strategic fit orientation significantly mediates firm strategies and business agility. This means that women entrepreneurs should continually develop structures and strategies to stay agile and strategically fit in the business environment. They are to adapt their objectives strategically to reduce potential risks and assess situations and possible consequences of threats to remain dynamic in the business environment. This study addressed the gap between strategic fit orientation and business agility in developing economies. Full article

Climate change is the reason behind most contemporary economic problems. The rising inflationary pressures in the food sector are one of these problems, and stable food prices are a necessity for economic development and social cohesion in societies. Therefore, this study analyzes the relationship between food prices and climate change in Nigeria by using various non-linear and quantile-based methods and data from 2008m5 to 2020m12. The empirical findings indicate that (i) there is a time- and frequency-based dependence between food prices and some explanatory variables, including climate change (i.e., temperature). (ii) At higher quantiles, temperature, oil prices, food exports, monetary expansion, global food prices, agricultural prices, and fertilizer prices stimulate food prices. (iii) The increase in food prices due to the rise in temperature and the difficulties in agriculture indicate that the heatflation phenomenon is present in Nigeria. The evidence outlines that Nigerian decisionmakers should adopt a national food security policy that considers environmental, agricultural, and monetary factors to stabilize food prices. Full article

Economic diversification has been a cornerstone of the policy agenda of resource-rich countries, such as Gulf Cooperation Council (GCC) countries, seeking sustainable economic development to avoid reliance on hydrocarbon revenues that cause significant vulnerabilities and economic, social, and political instability in the long term. GCC governments invest the proceeds from rich hydrocarbon exports to build a diverse local economy. However, it is unclear whether increased capital formation through public investments helps these economies diversify away from hydrocarbons. The main objective of this study was to determine whether GCC countries’ capital formation has appreciable impulse effects on response–economic diversification in the short or long term. A panel vector autoregression method describing the cause and effect or the dynamic relation between capital formation and economic diversification was used to attest to the success of economic diversification policies in resource-rich countries. The results show that a shock to real gross capital formation has a limited impact on economic diversification (the non-resource rent share) in the GCC economies. This could be attributed to these countries’ oil/gas-focused fixed investment build-up. Furthermore, an evaluation of the recursive relationship shows that the impact of growing non-hydrocarbon sectors on gross capital formation is limited. Full article

Despite being the second largest oil exporter in Africa, Angola continues to lag behind in most macroeconomic and institutional indicators. At least partially, this is a consequence of the Dutch disease, a phenomenon that establishes a clear link between high resource endowments and lack of economic diversity through the loss of international competitiveness in non-resource sectors. In this paper, we use a nonlinear autoregressive distributed lag (NARDL) model to identify the cointegrated relationship between international oil prices and the real effective exchange rate of the kwanza, which is a striking sign of the presence of the Dutch disease. Full article

To achieve sustainable economic growth, Saudi Vision 2030’s target is to improve Saudi Arabia’s ranking on the Global Competitiveness Index from 25 in 2015–2016 to within the top 10 by 2030. Saudi Arabia also aims to increase the share of non-oil exports in the non-oil GDP from 16% in 2016 to 50% by 2030. For policymakers to make informed decisions to achieve these goals, they need to understand the driving forces of Saudi Arabia’s competitiveness. To this end, we consider the real effective exchange rate (REER) as a measure of external price competitiveness, as it captures domestic and global price changes. We then examine the REER using a two-stage modeling framework. First, we estimate the REER equation, which allows us to assess the impacts of the determinants and evaluate currency misalignments as a competitiveness indicator. Second, we extend the KAPSARC Global Energy Macroeconometric Model (KGEMM) with the estimated equation, which provides a framework for simulating the competitiveness impacts of the theoretically formulated determinants and other variables relevant to policymakers. The framework also allows us to account for feedback loops. We conduct a policy scenario analysis to quantify the competitiveness effects of the Public Investment Fund’s (PIF) new strategy for 2021–2025. We derive the following policy insights. Authorities may wish to implement initiatives boosting future productivity and, thus, competitiveness, such as PIF investments. Policymakers should be regularly informed about currency misalignment. Government consumption and public investment projects should consider substituting imports with locally produced goods and services. Local content development would also help to diversify the Saudi economy. Finally, attracting more foreign investment and other assets from the rest of the world may lead to technological development and improvement in the economic, financial, and social infrastructure and business environment, all enhancing competitiveness. Full article

The continued use of energy sources based on fossil fuels has various repercussions for the environment. These repercussions are being minimized through the use of renewable energy supplies and new techniques to decarbonize the global energy matrix. For many years, hydrogen has been one of the most used gases in all kinds of industry, and now it is possible to produce it efficiently, on a large scale, and in a non-polluting way. This gas is mainly used in the chemical industry and in the oil refining industry, but the constant growth of its applications has generated the interest of all the countries of the world. Its use in transportation, petrochemical industries, heating equipment, etc., will result in a decrease in the production of greenhouse gases, which are harmful to the environment. This means hydrogen is widely used and needed by countries, creating great opportunities for hydrogen export business. This paper details concepts about the production of green hydrogen, its associated technologies, and demand projections. In addition, the current situation of several countries regarding the use of this new fuel, their national strategy, and advances in research carried out in different parts of the world for various hydrogen generation projects are discussed. Additionally, the great opportunities that Chile has for this new hydrogen export business, thanks to the renewable energy production capacities in the north and south of the country, are discussed. The latter is key for countries that require large amounts of hydrogen to meet the demand from various industrial, energy, and transportation sectors. Therefore, it is of global importance to determine the real capacities that this country has in the face of this new green fuel. For this, modeling was carried out through mathematical representations, showing the behavior of the technologies involved in the production of hydrogen for a system composed of an on-grid photovoltaic plant, an electrolyser, and compressor, together with a storage system. The program optimized the capacities of the equipment in such a way as to reduce the costs of hydrogen production and thereby demonstrate Chile’s capacity for the production of this fuel. From this, it was found that the LCOH for the case study was equivalent to 3.5 USD/kg, which is not yet considered a profitable value for the long term. Due to this, five case studies were analyzed, to see what factors influence the LCOH, and thereby reduce it as much as possible. Full article

This study quantitatively analyses the impacts that recent unprecedent events have had on the Saudi economy and environment using the Global Trade Analysis Project (GTAP) model. These events include: the global outbreak of COVID-19 and the associated disruption to the global supply chain, the alarming rate of climate change, and various political conflicts. These events have affected global food and energy prices. The results of this study revealed a decline in Saudi GDP, household income, purchase ability, and welfare. A trade deficit was indicated in the Saudi trade balance because of higher food prices and a reduction in two of the main Saudi exports (oil and petroleum products). A decrease in the output of most Saudi industries was shown, despite the increase in exports for most sectors. This was because of the reduction in Saudi households’ domestic consumption. Regarding the environmental impact, the Input–Output Life Cycle Assessment (IO-LCA) approach was used to estimate the total CO₂ emissions of the Saudi economy. In total, approximately 740.6 million metric tons of CO₂ emissions were estimated. By using a recently published specific carbon intensity for Saudi oil, total Saudi CO₂ emissions were 24.59% less than the non-specific measure. Full article

The purpose of this study was to analyze the irregular pattern of changing inflation as a result of the pass-through of the exchange rate and fluctuations in oil prices in the current globalization scenario. We used annual data sets for crude oil prices, real effective exchange rates, and inflation in Pakistan from 1972 to 2021 for the analysis. The control variables used in the current study were imports (IMP), gross domestic product per capita (GDP), exports (EXP), globalization (GLOB), and interest rates (CRATE). Our findings from a non-linear autoregressive distributed lag (NARDL) analysis showed that inflation had an asymmetric rocket and feather pattern regardless of how globalization was defined or measured. On the other hand, GDP, EXP, and GLOB negatively impacted inflation, and CRATE and IMP had positive effects on inflation. Our study suggested that alternative policies, such as fixing the exchange rate, might decrease uncertainty and stabilize the Pakistani economy in the future. Moreover, increasing the use of sustainable energy would reduce the dependence of the economy on oil prices, which would lower its impact on the economy. Full article

In this research, we aimed to model the impact of world oil prices on the gross domestic product of the United Arab Emirates (UAE). The objective of the study was to determine the transmission mechanism of the influence of the changing oil price within the macroeconomic indicators of the UAE. In this study, we analysed the impact of world oil prices and the crude oil sector on economic growth in the UAE for the period of 2001–2020 by applying ADF, OLS, ARDL, and Granger causality techniques. The results also showed the direct impact of the changes in oil prices on the GDP of the UAE in the short and long terms; in other words, a decline in oil prices could pose a threat to the economic security of the UAE in the long term if appropriate corrective measures are not taken. In order to avoid these negative consequences of the oil price crisis, in this study, we emphasize that the only alternative to exporting oil is to diversify economic sources for long-term development and increase the efficiency of non-oil sectors. Full article