Search Results (37)

The Port of Veracruz, the main port in the Gulf of Mexico, has experienced a significant increase in its import and export operations, such as petroleum coke (Petcoke), a solid waste, mainly used in the steel industry. During the period of 2010–2023, approximately 7,401,594 tons of coke were stored outdoors, generating PM₁₀ particulate emissions due to wind erosion. These particles were dispersed to urban areas, reaching an estimated total emission of 5077 tons. The study used geospatial analysis and environmental modeling tools (ALOHA^®) to evaluate the dispersion and concentration of PM₁₀ in the atmosphere, comparing them with the limits established by the Mexican Official Standard NOM-025-SSA1-2021. The results indicate that in years with high port activity, such as 2014, PM₁₀ concentrations exceeded the normative values, representing a potential risk to public health and urban infrastructure. This study provides critical evidence on the environmental impacts of coke handling in ports and suggests mitigation strategies, including processes for the confinement of materials and the implementation of advanced emissions monitoring systems. Full article

The sulfur content in crude oil varies between 1000 and 30,000 ppm (parts per million), meaning that its removal from fuels requires significant technical and economic effort. Growing concern about pollution, accompanied by stricter environmental regulations, have led to the development of strategies to mitigate the negative effects of sulfur-containing compounds in petroleum, which can cause malfunctions in manufacturing plants and refineries, such as causing catalyst poisoning in catalytic reforming equipment and sulfur dioxide emissions that have been generated through the use of fuels in vehicles, vessels, furnaces, etc. Sulfur is one of the main pollutants found in diesel and gasoline. The hydrodesulfurization method removes sulfur and nitrogen-containing compounds from diesel and gasoline, ensuring compliance with current environmental regulations established for the import and export of fuels. In addition, hydrodesulfurization contributes to reducing sulfur dioxide and nitrogen dioxide emissions into the environment and prevents corrosion, which increases safety for both manufacturing plants and end consumers. This situation is analyzed in this paper, considering Mexican legislation about fuels and their usage. Sulfur is an important pollutant contained in diesel and gasoline fuels; it exhibits lubricant properties, helping to reduce the maintenance intervals of the machines and increase engine life. Therefore, its removal from fuel blends is a topic of great scientific interest as researchers look for different lubricant alternatives, which are relevant to motor vehicle engines. Full article

This paper constructs a modified hypothesis extraction method (MHEM)–structural decomposition analysis (SDA)–structural path decomposition (SPD) analytical framework and employs the 2018–2022 Chinese input–output tables to discuss sectoral consumption correlations, driving forces of consumption, and the transmission paths of carbon energy (CE), oil and gas energy (OGE) and electric energy (EE). The results of the study indicate that energy-exporting sectors are primarily energy production or conversion industries, while energy-importing sectors are mainly in the construction sector. China’s energy consumption has shown consistent year-on-year growth, with the primary driving force being the intensity of energy consumption and the secondary factor being per capita demand. The consumption of all three types of energy is primarily directed toward domestic consumption and capital formation. Regarding energy consumption transmission paths, the first-order path with the largest overall impact on CE is “electricity, gas, and water supply sector → domestic consumption”, while higher-order paths are primarily subpaths of “electricity, gas, and water supply sector → capital formation”. For OGE, the main supply and transfer path is “coke, refined petroleum, and nuclear fuel sector → domestic consumption”, along with its subpaths. In contrast, EE transmission is more balanced, with a high demand for electricity across all sectors. Full article

In this paper, a panel smooth transition regression model is used to examine the nonlinear effects of financial globalization on energy security. These effects are examined in 123 countries for the period of 2000–2018. Control variables are armed forces, industrialization rate, trade value share, and urbanization rate, and the conversion variable is the financial globalization index in the following year. The results of the financial globalization effects can be obtained from both time and space. The results show that financial globalization has a positive nonlinear effect on energy security. When the logarithm of financial globalization in the previous year exceeds 0.0467, the coefficient between financial globalization and energy security will decrease from 0.0467 to 0.0209. Temporal variation analyses show that the positive effect followed a “decrease, increase, decrease” trend between 2000 and 2018. Spatial variation analyses show that the positive effect is greatest in Oceania and the Americas (with an effect coefficient of 0.0467) and smallest in Europe (with an effect coefficient of 0.0391). According to the results of the regional heterogeneity research, the Organization of the Petroleum Exporting Countries (OPEC) countries see a stronger nonlinear impact of financial globalization on energy security than non-OPEC countries. Full article

Fishery plays an important role in world trade; however, the embodied energy associated with fishery remains incompletely quantified. In this study, we applied the multi-regional input-output (MRIO) model and logarithmic mean Divisia index (LMDI) approach to understand the evolution and drivers of embodied energy in the intermediate and final fishery trade between China and countries along the 21st century Maritime Silk Road (MSR) from 2006 to 2021. The findings are as follows: (1) Embodied energy in the intermediate fishery trade averaged 92.2% of embodied energy from the total fishery trade. China has gradually shifted from being a net exporter to a net importer of embodied energy in intermediate, final, and total fishery trade with countries along the MSR. (2) From a regional perspective, the embodied energy in China’s fishery trade with Japan, South Korea, and Southeast Asia comprises the majority of the embodied energy from China’s total fishery trade (82.0% on average annually). From a sectoral perspective, petroleum, chemical and non-metallic mineral products, and transport equipment were prominent in the embodied energy of China’s intermediate fishery trade (64.0% on average annually). (3) Economic output increases were the main contributors to the increasing embodied energy in all types of fishery trade in China. The improvement in energy efficiency effectively reduced the embodied energy in all types of fishery trade in China, but its negative driving force weakened in recent years owing to minor energy efficiency improvements. Understanding the embodied energy transactions behind the intermediate and final fishery trade with countries along the MSR can provide a theoretical reference for China to optimize its fishery trade strategy and save energy. Full article

To limit global warming to 1.5 °C, it is imperative to accelerate the global energy transition. This transition is crucial for solving the climate issue and building a more sustainable future. Therefore, within the loaded capacity curve (LCC) theory framework, this study investigates the effects of digital adaptation, energy transition, export diversification, and income inequality on the load capacity factor (LCF). This study also attempts to investigate the integration effects of digital adaptation and energy transition, and digital adaptation and export diversification, on LCF. Furthermore, we explored how income inequality influences the LCF in economies. For this study, 112 countries were selected based on the data availability. Panel data from 2010 to 2021 were analyzed using the STATA software 13 application utilizing a two-step system generalized method of moments (GMM) approach. First, interestingly, our finding shows that digital adaptation and income significantly affect the LCF. An increase in income increases the LCF among the middle-income group of countries. Therefore, LCC is confirmed in this research. Surprisingly, energy transition, export diversification, and foreign direct investment negatively impact the LCF in the base model. Second, the impact of integrating digital adaptation and energy transition has a positive effect on LCF. Third, a negative correlation was observed between the interaction of export diversification and digital adaptation with the LCF. Fourth, a positive correlation was observed between the interaction of renewable energy and digital adaptation with the LCF. Finally, this study explores the impact of the energy transition, export diversification, and income inequality on the LCF with reference to the Organization of Petroleum Exporting Countries (OPEC). The result shows a negative effect between export diversification and LCF among OPECs at a 10% significance level. To improve the quality of our planet, policymakers must understand the forces causing climate change. By adopting a comprehensive perspective, the study aims to understand how these interrelated factors collaboratively influence the LCF thoroughly. Additionally, this research seeks to provide valuable insights related to energy transition, digital adaptation, and export diversification to policymakers, researchers, and stakeholders regarding possible avenues for cultivating a more joyful and sustainable global community. Full article

Indigenous traditional land uses, including hunting, fishing, sacred activities, and land-based education at the Red Sucker Lake First Nation (RSLFN) in Manitoba, Canada, are impacted by mining. The Red Sucker Lake First Nation (RSLFN) people want their territories’ land and water to be protected for traditional uses, culture, and ecological integrity. Towards this goal, their Island Lake Tribal Council sought support for an Indigenous-protected and conserved area (IPCA) in their territory, outside of existing mining claims, but without success. The two-eyed seeing approach was adopted in this study. Traditional land use mapping and interviews were undertaken with 21 Indigenous people from the RSLFN, showing that many traditional land uses are concentrated on greenstone belts. The interviews revealed that mining exploration has resulted in large petroleum spills, noise distress, private property destruction, wildlife die-offs, and animal population declines. These issues negatively impact RSLFN’s traditional land use practices, ecosystem integrity, and community health. Governments need to partner with Indigenous communities to reach their biodiversity targets, particularly considering northern Canada’s peatlands, including those in the RSLFN territory, surpassing Amazon forests for carbon storage. The role of critical minerals in renewable energy and geopolitics has colonial governments undermining Indigenous rights, climate stabilization, and biodiversity to prioritize extractivism. Mining at the RSLFN has environmental impacts from exploration to decommissioning and after, as well as the massive infrastructure required that includes roads, hydro, and massive energy supplies, with a proposed multimedia national Northern Corridor to export RSLFN’s resources and other resources to six ports. Full article

Analysis of the heavy fractions in crude oil has been important in petroleum industries. It is well known that heavy fractions such as vacuum gas oils (VGOs) include heteroatoms, of which sulfur and nitrogen are often characterized in many cases. We conducted research regarding the molecular species analysis of VGOs. Further refine processes using VGOs are becoming important when considering carbon recycling. In this work, we attempted to classify compounds within VGOs provided by Kuwait Institute for Scientific Research. Two VGOs were priorly distillated from Kuwait Export crude and Lower Fars crude. Quantitative analysis was performed mainly using matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOFMS). MALDI-TOF-MS has been developed for analyzing high-molecular-weight compounds such as polymer and biopolymers. As matrix selection is one of the most important aspects in MALDI-TOFMS, the careful selection of a matrix was firstly evaluated, followed by analysis using a Kendrick plot with nominal mass series (z*). The objective was to evaluate if this work could provide an effective classification of VGOs compounds. The Kendrick plot is a well-known method for processing mass data. The difference in the Kendrick mass defect (KMD) between C_nH_2n−14S and C_nH_2n−20O is only 0.0005 mass units, which makes it difficult in general to distinguish these compounds. However, since the z* value showed effective differences during the classification of these compounds, qualitative analysis could be possible. The analysis using nominal mass series showed the potential to be used as an effective method in analyzing heavy fractions. Full article

The multifaceted interrelationship between petroleum prices and equity markets has been a subject of immense interest. The current paper offers an extensive review of a plethora of empirical studies in this strand of literature. By scrutinising over 190 papers published from 1983 to 2023, our survey reveals various research themes and points to diverse findings that are sector- and country-specific and contingent on employed methodologies, data frequencies, and time horizons. More precisely, petroleum price changes and shocks exert direct or indirect effects dictated by the level of petroleum dependency across sectors and the country’s position as a net petroleum exporter or importer. The interlinkages tend to display a time-varying nature and sensitivity to major market events. In addition, volatility is not solely spilled from petroleum to equity markets; it is also observed to transmit in the reverse direction. The importance of incorporating asymmetries is documented. Lastly, the summarised findings can serve as the basis for further research and reveal valuable insights to market participants. Full article

Inter-regional trade in commodities causes the flow of water pollutants, referred to as virtual pollutant transfer. However, existing studies usually focus on a single water pollutant and cannot characterize the integrated discharge of multiple ones. As a result, it is impossible to analyze the integrated virtual flow of multiple water pollutants among regions, much less simulate the effects of possible water pollutant reduction scenarios. To this end, we empirically synthesize several water pollutant indicators as a whole and then make it the occupancy in the framework of input–output analysis, which helps us to quantify the virtual transfer of water pollutants and simulate scenarios’ mitigating effects. The constructed indicator is called the synthetic water pollutant (SWP) discharge index. By accounting for SWP and then its virtual flows based on the compiled multi-regional input–output tables, we analyze the temporal and spatial differences in synthetic net virtual transfer of regional multiple water pollutants occurring with inter-regional trade. The results show that the national SWP discharge scale of six water pollutants (chemical oxygen demand, ammonia nitrogen, total nitrogen, total phosphorus, petroleum, and volatile phenol) is falling from 2012 to 2020. The net intake of virtual pollutants has become more concentrated. Central (e.g., Shanxi and Hunan) and western (Xinjiang, Inner Mongolia) China are the central regions of net virtual receiving. The simulation results show that reducing 10% of importing regions’ inputs while cutting 10% of exporting regions’ consumption mitigates the SWP discharge of the entire economic system by 3.45%. The decrease rate is 3.02%, increasing international imports by 10% in all regions. An incremental SWP reduction of 2.75% by reducing SWP discharge per output unit by 10% in the top 10 regions of discharge intensity indicates reducing the SWP discharge intensity is the most direct and effective approach. However, the growth of fixed asset investment in wastewater treatment and its recycling seems to contribute little to achieving China’s policy target of wastewater treatment capacity increase by 2025. This study provides regional results for managing water pollutants in China and a basis for future policymaking. Full article

Plasma gasification is considered an environmentally friendly process to convert plastic waste into fuel oil; a prototype system is described to test and validate the plasma treatment of plastic waste as a strategic vision. The proposed plasma treatment project will deal with a plasma reactor with a waste capacity of 200 t/day. The annual plastic waste production in tons in all regions of Makkah city during 27 years for all months in the years 1994 to 2022 is evaluated. A statistics survey of plastic waste displays the average rate generation ranging from 224 thousand tons in the year 1994 to 400 thousand tons in the year 2022, with an amount of recovered pyrolysis oil; 3.17 × 10⁵ t with the equivalent energy; 12.55 × 10⁹ MJ, and an amount of recovered diesel oil; 2.7 × 10⁵ t with an amount of electricity for sale 2.96 × 10⁶ MW.h. The economic vision will be estimated, using the results of energy generated from diesel oil as an industrial fuel extracted from plastic waste equivalent to 0.2 million barrels of diesel oil, with sales revenue and cash recovery of USD 5 million, considering the sale of each one barrel of diesel extracted from plastic waste in the range of USD 25. It is important to consider that the equivalent barrels of petroleum cost, according to the organization of the petroleum-exporting countries’ basket prices, up to USD 20 million. The sales profit (2022) is as follows: for diesel with a sales revenue of diesel oil, USD 5 million, with a rate of return of 4.1%, and a payback period of 3.75 years. The generated electricity reached USD 32 million for households and USD 50 million for factories. 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

Export embodied carbon emissions (EECE) and their domestic spillover effects (DSE) are typical interregional carbon transfer phenomena. They have diversified impacts for different regions within a country, and result in the associated effect on the economy and environment. From 2007 to 2017, the EECE of China was mainly concentrated in five provinces, and EECE intensity mostly decreased. Liaoning Province had the largest EECE intensity and EECE growth from 2012 to 2017. Based on the multi-region input-output tables of China, we applied the Multi-region Input-output Model and constructed the Coupling Relationship Model for trade value and carbon emission, quantitatively assessed the EECE and its DSE for Liaoning Province, depicted the spatial-temporal evolution patterns, proposed sectoral adjustment countermeasures, and evaluated the adjustment effects. The research found that the EECE and its DSE of Liaoning Province was 32.08 MtCO₂ and 5.43 MtCO₂ in 2017. It was mainly concentrated in the metal smelting and rolling processing sector (MetalSmelt) and the petroleum processing, coking and nuclear fuel processing sectors (RefPetral). The spatial agglomeration effect was obvious, and Jilin Province was the largest DSE region. According to the Coupling Relationship Model of export trade value and export embodied carbon emissions, the sectors were divided into four types, and different adjustment countermeasures were proposed, such as encouragement, control, targeted promotion and targeted reduction. For the MetalSmelt and the RefPetral, if the export value reduced 100 million CNY, the EECE would be reduced by 21.57 ktCO₂ and 23.35 ktCO₂, respectively, and the DSE would be reduced by 1.59 ktCO₂ and 1.65 ktCO₂, respectively. The conclusions could provide a decision-making basis for the case area to formulate lower-cost and better-effective carbon reduction adjustment countermeasures. It could also provide reference and scientific support for the achievement of “Carbon Neutrality” and sustainable development in similar regions of the world with the rapid growth of EECE. Full article

Nigeria’s oil industry encounters crude oil theft in commercial quantities, which is often exported to neighbouring countries. This has occasioned a loss of revenue and has caused environmental pollution due to oil spillages. There is a need for a stringent legal framework to combat the menace caused by incessant crude oil thefts, pipeline vandalisation by militants, and inadequate maintenance of existing crude oil refineries. The study adopts doctrinal legal research methods and a conceptual approach with the consideration of primary and secondary sources of law, for instance, the Petroleum Industry Act 2021, the Nigeria Extractive Industry Transparency Initiative (NEITI Act 2007, International Conventions, law textbooks and peer-reviewed journals. The justification for using the method was to establish the trustworthiness of the findings on illicit crude oil refineries. The findings reveal that the Nigerian government has lost more than 150,000 barrels of crude oil daily valued at USD six billion as a result of crude oil theft. This has reduced oil revenues, which ought to have added to the national treasury. The Petroleum Production and Distribution (Anti-Sabotage Act) 2007, which proscribes disruption of petroleum products in Nigeria, has not been diligently enforced. There is also an absence of a specific oil and gas legal framework criminalising crude oil theft. Section 3(e)(f)(iv) of the Nigeria Security and Civil Defence Corps Act only offers pipeline security as one of the functions of the corps, without distinctly stating the penalties to be imposed on those damaging crude oil pipelines. The study designs a hybrid model for the renovation of the country’s crude oil refineries. It also advocates the need to redefine legal regimes on illegal oil refineries by amending the Petroleum Industry Act to include specifically illegal oil refineries provision and to effectively criminalise crude oil theft. The implications of the main results are as follows: criminalising crude oil theft and pipeline vandalisation with vigorous punishments will serve as deterrence to others in the sector, increase revenues for the government and reduce environmental pollution. Full article

Given that global amounts of waste are growing rapidly, it is extremely important to determine what amount of waste will be generated in the near future. Accurate waste forecasting is also important for planning and designing a sustainable municipal solid waste (MSW) management system. For that reason, there is a need to build a model to predict the amount of MSW generated in the near future. Based on previous research, artificial neural networks (ANN) show better results in predicting waste generation compared to other mathematical models. In this research, an ANN model using the iterative algorithm Broyden–Fletcher–Goldfarb–Shanno (BFGS) for the prediction of MSW fractions, based on the socio-demographic characteristics, economic and industrial data obtained in Croatia and summarized data of the member states of EU (EU-27 from 2020), showed good predictive capabilities. The coefficient of determination during the training cycle for the output variables; household and similar waste (HHS), paper and cardboard waste (PCW), wood waste (WW), textile waste (TW), plastic waste (PW) and glass waste (GW) were 0.993; 0.997; 0.999; 0.997; 0.998; and 0.998, respectively, while reduced chi-square, mean bias error, root mean square error, mean percentage error, average absolute relative deviation and sum of squared errors were found low. In this paper, Yoon′s method of interpretation shows the relationships between socio-demographic data and the amount of generated waste. The results indicate that the lowest level of education shows a negative impact on observed waste-types calculations, with a relative impact between −9.889 and −4.467%. The most pronounced positive impact on the calculation of HHS, PCW, WW, TW, PW and GW was observed for year variable, gross domestic product, exports of goods and services, imports of goods and services, wages and salaries, secondary income, arrivals in collective accommodation establishments, overnight stays in collective accommodation establishments and exports of petroleum and petroleum products to partner countries, with a relative influence of 4.063–7.028; 2828–4851; 5240–6197; 5.308–6.341; 4290–4810; 4533–5805; and 4.345–4.493, respectively. The obtained results indicate that the amount of HHS waste at the EU-27 level in 2025 will decrease by approximately 18% compared to the data from 2018. The quantities of other observed recyclable types of waste will increase by 34% for PCW, 310% for WW, 40% for TW, 276% for PW and about 67% for GW. The amount of waste generated provides the basic information needed to plan, operate and optimize the waste management system. It could also help in the transition to an environmentally friendly and economically profitable circular economy. The model created in this research could also help with the system of separate waste collection, which would lead to more efficient recycling and the achievement of the set goals for recycling 55% of municipal waste by 2025. Full article