Resources Policy最新文献

This study examines the convergence between strategic resource miners and explorers with both conventional and Islamic ventures using quantile cross-spectral analysis and the quantile connectedness approach. It analyzes data from exchange-traded funds related to these ventures from September 19, 2016, to September 14, 2023. The findings reveal significant differences between Islamic and conventional ventures. Islamic ventures show lower quantile cross-spectral coherence with natural resource miners and explorers, highlighting their inherent hedging capability, particularly in green reform-oriented and technologically advanced industries. The study identifies nuanced dynamics across various market conditions. During bear markets, evolving ventures mainly act as net transmitters to the oil and uranium industries while experiencing shocks from FinTech platforms. Conversely, conventional ventures are more vulnerable to shocks from the tech-software sector and socially conscious companies, emerging as net receivers. This dynamic shifts in normal and bull markets, with evolving ventures becoming followers of shocks and conventional ventures assuming leadership. The study also highlights specific industries impacted by both types of ventures in different market conditions, emphasizing the interplay between evolving and conventional financial strategies. Policy implications stress the need for tailored strategies that consider market conditions and industry intricacies. Promoting transparency, refining risk management tools, and fostering collaboration between Islamic finance and green industries are essential for sustainable resource governance.

This paper examines the impact of the Sustainable Education Index on China's mining industry, focusing on investment patterns and the adoption of green technologies. Using data from 1992 to 2022 and estimating with the Generalized Method of Moments (GMM), our findings reveal that a higher Sustainable Education Index significantly boosts green technology imports while reducing investment in mining activities. Specifically, a 1% increase in the index is associated with a 0.23% decrease in investment and a 0.43% increase in green technology imports. Additionally, the COVID-19 pandemic negatively impacted both investment and technology imports. While GDP and population growth positively correlate with investment, they are negatively associated with green technology imports, highlighting the challenges of urban development. An increased carbon footprint drives green technology imports, whereas a higher consumer price index deters both investment and imports. To promote sustainable investment, we recommend practical policies such as social awareness campaigns, education initiatives, university incentives, and social media engagement to guide China's mining industry toward greater environmental responsibility and sustainability.

The minerals industry in Turkey is critical to the nation's financial system and has a significant influence on its economic growth and well-being. The goal of this investigation is to undertake a complete review of the minerals sector's sustainability concerns, utilizing fuzzy decision-making to generate enlightening answers. Therefore, the major purpose of this research is to recognize and highlight sustainability concerns in the Turkish mining or minerals sector. This study employs expert opinions and a review of the literature to develop a complete set of criteria that will serve as the basis for the Fuzzy Best-Worst Method (FBWM), which is utilized for evaluating observed challenges. According to the findings of the study, “safety” is the most significant challenge that must be addressed immediately to safeguard the health and safety of mining people as well as the long-term sustainability of operations. This study contributes to an existing body of literature by examining industrial sustainability challenges using the FBWM technique. Using FBWM to acquire a deeper knowledge of the difficulties, researchers, stakeholders in the industry, and policymakers can get valuable insights into the connections between them.

This study analyzes data from the Sovereign ESG Data Portal to assess how macroeconomic factors influence ESG (Environmental, Social, and Governance) investments in the fossil fuels extraction sector across G7 countries from 2005 to 2022. Using the PMG-ARDL technique, findings reveal that a 1% rise in income inequality leads to a 0.14% decrease in ESG investment in the short term and 0.43% in the long term. Conversely, a 1% increase in household spending on education results in a 0.12% short-term and 0.16% long-term boost in ESG investment. Economic growth does not significantly affect ESG investment, likely due to the sector's profit-driven nature. Additionally, a 1% increase in industry value decreases ESG investment, while better governance practices enhance it. The study suggests that policies focusing on improving governance, reducing inequality, and increasing education spending are crucial for promoting sustainable investments.

Iron ore is an important industrial raw material, and its production and consumption have a significant impact on the world economy. As resource demand increases, competition among iron ore importing countries has intensified. To investigate the global iron ore competition landscape through the competition intensity among importing countries and to study the iron ore competition groups and key competition modes from a local perspective, this paper constructs the iron ore import competition intensity network (IOCIN) by employing the network decreasing-mode and resource allocation process (RAP). The empirical results are as follows. First, competition intensity is unevenly distributed. The unevenness of competition intensity eases slightly, and the IOCINs become tighter over time. Second, the composition of the community is unstable, and the competition groups show geographic dispersion. Third, unidirectional competition with an overwhelming advantage on one side is a common relationship in the global iron ore market. At the same time, a relatively stable bilateral competition pattern has promoted the evolution of the global iron ore competitive landscape. The value of this study includes not only the improvement of the method but also practical strategic recommendations for rational competition and resource allocation optimization among countries.

The Skouries gold mining dispute in Greece has been a significant contention for several years. This study explores how individuals, either supportive or critical of mining, have strategically positioned themselves in discourse to safeguard their influence and control over potential risks. These strategic actions have included visible measures, such as campaigns carried out by institutions and grassroots organizations, and plans that have been expressed but not yet implemented. These tactics have given rise to divergent perspectives within each group. Whenever the mining operation faced a potential threat, the miners would take charge of the tunnels to demonstrate their indispensable connection to their work and its importance within a broader context. On the other hand, local activists, in stark contrast to the miners who relied on the mining company, developed their skills and capabilities, showcasing their resilience in the face of adversity. Despite adhering to a post-Fordist work and labor conditions model, these activists have a strong attachment to their location but were compelled to consider relocating. The research illustrates how opposing parties collaboratively generate disputes over natural resources through their strategic use of language and communication.

China's stringent decarbonisation, marked by an uncompromising coal phaseout, has induced significant ripple effects across the coal industry chain's employment structure. By utilising a composite methodology that integrates the Global Change Assessment Model and Input‒Output Model, this study systematically quantifies the impact on employment, revealing a loss of 1.6 million jobs in mining and 8.2 million in the entire chain. Concurrently, a labour shift to the renewable sector has resulted in an 18.5% increase in employment, equivalent to creating 508,000 new positions from 2017 to 2020. Projections suggest that renewable energy initiatives could address 25% of the employment gap for precision by 2060 under carbon neutrality scenarios. Nonetheless, the coal sector is expected to lose more than 20 million jobs, indicating the need for a 2.3 trillion-yuan compensation fund. This study highlights the need for policy interventions to facilitate labour transitions through comprehensive retraining programs and strategic investments. Promoting economic diversification and clean coal technologies can improve resource utilization and create new jobs. Additionally, repurposing abandoned coal mines into energy storage facilities or renewable energy sites can prevent stranded assets and generate employment. These findings provide a robust framework for addressing the socioeconomic challenges of energy transitions, offering critical insights for other coal-dependent countries aiming for sustainable development.

The EU transition to green economy and digital transformation plays a crucial role in achieving sustainable development with direct interest in allocating the necessary financial resources. In this framework, the aim of this paper is to evaluate the impact of e-government and natural resources rents on financial and human development as proxies for sustainable development. The analysis conducted for the period 2008–2022 revealed the role of economic growth and e-government in supporting the sustainable development in the EU. However, natural resources rent negatively impacted human development and only coal rents enhanced financial development in the old EU member states. The results could support the new EU policies to achieve sustainable development by an efficient use of natural resources and by implementing digitalization for public services.

The escalating concerns about ecological sustainability have made the consumption of resources a crucial global issue. The speedy growth of the economy is heavily reliant on excessive consumption of resources, which significantly contributes to the imbalance between biodiversity and ecological footprint, resulting in a decrease in the carrying capacity. Both researchers and policymakers strive to enhance the amount of financial capital in the present time while ensuring that the country's economic growth remains unaffected. The primary objective of this study is to analyze the impact of green energy, financial technology (FinTech), and environmental regulations on enhancing the environmental sustainability of resource-rich countries from 1992 to 2022. To address problems with cross-sectional dependency and slope heterogeneity, this study employs the CS- ARDL model. The long-term results indicate that the reliance on income from natural resources decreased the load capacity factor. However, the load capacity factor was improved by shifting to green energy, adopting fintech, and implementing environmental regulations. The utilization of the AMG and CCEMG estimate procedures enhances the validity of the research findings. These findings provide essential policy recommendations for all stakeholder involved.

This study delves into the intricate dynamics of green transformation within global mining and other process industries, focusing on production, distribution, and capacity planning under the framework of the Asian Mineral Vision. By addressing sustainability, resource efficiency, and cost reduction, the research highlights the multifaceted challenges faced by industry participants in achieving green objectives. In addition to financial efficiency, the study emphasizes the importance of customer service quality and responsiveness. To tackle these challenges, we propose a novel multiobjective mixed-integer linear programming (MILP) approach. The model incorporates key goals such as minimizing total cost, total flow time, and total missed sales, reflecting the interconnected nature of financial efficiency, operational agility, and customer satisfaction. To further enhance the model's flexibility, we integrate discrete strategies for plant capacity expansion, recognizing the crucial role of capacity management in responding to evolving demand dynamics. The multiobjective optimization problem is addressed using the lexicographic minimax technique and the ε-constraint method. A comprehensive numerical example illustrates the practical relevance and effectiveness of our proposed model and solution methods, providing valuable insights into improving the resilience and performance of green supply chain networks in the process industry.