Search Results (7)

Enhancing the resilience of the oil and gas industry chain is essential for achieving sustainable energy development amid global industrial restructuring and the accelerating low-carbon transformation. This study identifies the core contradictions in the development of China’s OGI and constructs a comprehensive evaluation index system to assess the resilience of the industry from the four sustainability-aligned dimensions of resistance, recovery, innovation, and transformation. Using the entropy weight comprehensive evaluation model, obstacle degree model, and coupling coordination degree model, the resilience performance of China’s OGI chain is evaluated from 2001 to 2022. The results show a significant upward trend in overall resilience, with evident stage characteristics. Resistance remains relatively stable, recovery shows the most improvement, innovation steadily increases, and transformation accelerates after 2019, particularly in response to China’s dual carbon goals. Key barriers include limited CCUS deployment and insufficient downstream innovation capacity. The improved coupling coordination among resilience subsystems highlights enhanced systemic synergy. These findings offer valuable implications for strengthening the sustainability and security of energy supply chains under climate and geopolitical pressures. Full article

The annual inflation rate in Sri Lanka accelerated to record levels in recent years, especially after the COVID-19 pandemic. Though the inflation rate had declined to pre-pandemic levels by mid-2024, it is of great importance to identify the factors that caused hyperinflation during the COVID-19 pandemic. The objective of this study is to investigate the drivers of inflation in Sri Lanka using a structural vector autoregressive model and a multiple regression model. The study assesses both the global drivers and the domestic drivers of inflation. The study uses monthly data on the inflation rate, global oil price, exchange rate, policy rate, the global supply chain pressure index, and unemployment rate, covering the period from January 2020 to August 2024, focusing on the period of rapid increase in the inflation rate in Sri Lanka. The empirical results of the study provide evidence to conclude that the inflation rate in Sri Lanka during the 2020–2024 period was mainly driven by the growth rates in money supply, exchange rates, and global supply chain disruptions. The results also show that the volatility of the Sri Lanka inflation rate is mostly explained by the money supply and exchange rate movements in the long run. Full article

This study clarifies the impact of global supply chain risks on global logistics companies, with a focus on the potential implications for sustainable supply chain management. The study employs the vector auto-regression model to examine the relationship between the Global Supply Chain Pressure Index (GSCPI) and the stock prices of global logistics companies, yielding the following results. First, the GSCPI does not have a statistically significant effect on most global logistics firms, except for shipping companies, which tend to be negatively impacted by supply chain disruptions. The t-statistics of the GSCPI on air cargo, integrated logistics, and pipeline companies were below the threshold of 1.291, corresponding to a 90% confidence level, which indicates that these results were not statistically significant. Therefore, logistics companies should prioritize the development of resilient and sustainable supply chain strategies incorporating alternative energy sources, such as liquefied hydrogen, ammonia, green methanol, and liquefied natural gas, to enhance their ability to respond to unexpected situations. Second, contrary to other logistics sectors, shipping enterprises have been positively impacted by the GSCPI, suggesting that they may find new opportunities during periods of global instability. By adopting eco-friendly fuel alternatives and green technologies, shipping companies can capitalize on these opportunities and contribute to the global transition toward sustainable logistics practices. These findings suggest that global logistics companies, including pipeline, air cargo, and integrated logistics companies, should develop resilient global supply chain management strategies that incorporate supply chain platforms, nearshoring, and import diversification. This study offers important implications for entrepreneurs and policymakers, emphasizing the role of sustainable energy solutions in stabilizing global supply chains. Full article

Although numerous studies have explored key variables for forecasting crude oil prices, the role of supply chain factors has often been overlooked. In the face of global risks such as COVID-19, the Russia–Ukraine war, and the U.S.–China trade dispute, supply chain management (SCM) has evolved beyond an individual company’s concern. This research investigates the impact of a supply chain-oriented variable on the forecasting of crude oil import prices in South Korea. Our findings reveal that models incorporating the Global Supply Chain Pressure Index (GSCPI) outperform those without it, emphasizing the importance of monitoring supply chain-related variables for stabilizing domestic prices for policy makers. Additionally, we propose a novel hybrid factor-based approach that integrates time series and machine learning models to enhance the prediction performance of oil prices. This endeavor is poised to serve as a foundational step toward developing methodologically sound forecasting models for oil prices, offering valuable insights for policymakers. Full article

There is global pressure to make advanced biofuels profitable. For cellulosic ethanol, three aspects remain as bottlenecks: collection of feedstocks, pretreatment methods, and enzyme production. In this paper, the first aspect is investigated, by addressing the main challenges for the logistics of agricultural residues. A logistic supply chain of corn stover collection and utilization for cellulosic ethanol production in Mexico is proposed, and a cost structure is designed for its estimation. By applying a value chain methodology, seven links and a set of three minimum selling prices (MSPs) of agricultural residues were determined. Furthermore, the harvest index (HI), crop residue index (CRI), nutrient substitution by extraction of agricultural residues, and harvest costs of corn stover were also calculated for a case study. The main results were a HI of 0.45, a CRI of 1.21, and nutrient substitution potential of 7 kg N, 2.2 kg P₂O₅, and 12.2 kg K₂O per ton of corn stover. The set of the three estimated MSPs for corn stover was: $28.49 USD/ton (for delivery to the biorefinery’s gate), $31.15 USD/ton (for delivery and storage), and $48.14 USD/ton (for delivery, storage, and nutrient replenishment). Given the impact of the feedstock cost on the profitability of cellulosic ethanol, knowing details of the logistical information and its costs is critical to advancing the field of biofuels in Mexico. We also found that only 20% of farmers currently sell their residues; however, 65% of farmers would be willing to do so, a significant percentage for cellulosic ethanol production. Full article

The new business environment, and the new era of digital transformation put pressure on the global supply chain and accordingly on ports to cope with such changes; these require ports to be smarter and adapt to the new technological approaches. Smart ports SP express the prevailing trend for the transformation strategies. Although many previous studies discuss smart ports requirements there is no integrated vision provided before to capture different comprehensive elements of smart port and show its impact on sustainably. Therefore, this research aims at developing an integrated smart port index SPI, capturing different elements of SP and linking them to port sustainability performance. The research conducted a systematic literature review to identify all pillars that are required for the smart port adaptation and showed its impact on sustainability with a full-text reading stage that resulted in 48 articles. The paper indicated that few studies of the SPI have been proposed before to improve SP activity in different domains: operations, environment, energy, safety, and security; however, there is a need to address the several key issues related to port operations, and to consider human resources factor as part of the smart port requirement, particularly an integrated index that captures different pillars in SP elements and shows its effect on sustainable performance. The study reveals that SP initiatives around the world have different integration levels. According to this, the smart port index can be considered as the first integrated index linked to sustainability and including human resources; however, there are some limitations that could be an open issue to future researchers and practitioners to foster new practical research initiatives that can rely on this index to adapt the smart port practices in different ports, taking into consideration the human resources aspect and testing their impact on port sustainability. Full article

Faced with the environmental pressure of global warming, China has achieved certain results in emission reduction, but this needs to be completed more efficiently. Therefore, this article conducts a more comprehensive and in-depth study of China’s carbon emissions from the perspective of the development of national economic sectors and taps the potential for emission reduction in various sectors. Taking into account the adjustment of the national economic sector and the current status of carbon emissions, the study period was from 2003 to 2017. The logarithmic mean Divisia index (LMDI) method was used to measure and analyze the impact of seven factors, including urban construction conditions, on the carbon emissions of various sectors. According to the commonalities and differences of the impacts, 42 sectors were aggregated into four categories. At the same time, the input–output structure decomposition analysis (IO–SDA) model was used to analyze the spillover effects of intersectoral carbon emissions. According to the research results, based on the characteristics of the four types of sectors, and fully considering the spillover effects, the improvement of life cycle management to control energy consumption in the entire supply chain was taken as the leading idea. Moreover, combined with the actual development situation, four types of sectoral carbon emission reduction paths and optimization strategies are proposed to establish a more sustainable demand structure in order to achieve emission reduction. Full article