Editorial
Permanent URI for this collectionhttp://10.0.100.92:4000/handle/123456789/415
Browse
1 results
Search Results
Item Resource savings, recycling and utilization, and energy transition: introduction(Geoscience Frontiers, 2024-05) Zhao, Xin; Shahzad, Umer; Tiwari, Aviral KumarIn the context of increasingly tight constraints on global resources and environment, accelerating the conservation and recycling of fossil fuels and other mineral resources have become significant challenge. While promoting the transformation of energy development mode, and making efficient use of coal, oil, natural gas, iron ore, potassium salts, phosphate, sulfur and other mineral resources have become important issues in energy planning and energy transformation. Under the framework of Sustainable Development Goals, it is urgent and critical to investigate the relationship between geological resource saving, recycling and modern energy systems, which is an important step to establish a complete system of efficient use of natural resources. This special issue of Geoscience Frontiers focuses on mineral resource savings, recycling utilization and modern energy system construction in geosciences. It compiles contributions on the latest development, evaluation and application of natural resources including mineral resources. In the opening paper by Xu et al. (2024a) employs the principles of trade preference and import similarity to construct dependency and competition networks. They find that the global rare earth trade follows the Pareto principle, and the trade network shows a scale-free distribution. The paper by Singh et al. (2024) investigates the impact of the natural resources rent on the economic growth in some major wealthy economies of the world. The results show a negative relationship between natural resources rent and economic growth for the panel but a different impact on quantiles in each country. Tiwari et al. (2024a) investigate the effect of the circular economy on CO2 emissions growth by considering the role of energy transition, climate policy stringency, industrialization, and supply chain pressure. The results provide insights for policymakers of advanced economies and emerging markets to maintain the balance among circular economy, energy transition, environmental policy stringency, and supply chain pressure for reducing CO2 emissions without halting economic growth and sustainable development. Ma et al. (2024) construct a green energy consumption evaluation index system and measured the green energy consumption levels in 30 provinces of China. This paper further captures the spillover effects running from covariates to green energy consumption using the spatial Durbin model as the main identification approach. The contribution by Zhao et al. (2024) examines the relationships between five renewable energy sub-sectors markets and the geopolitical risk (GPR) and economic uncertainty indices (EUI). The renewable energy indices show differences in response directions, speed and trends for a standard information difference impulse from the GPR and the EUI. Farooq et al. (2024a) explore the effects of various organic amendments on the growth, morpho-physiological and biochemical attributes of three leguminous tree species: Dalbergia sissoo, Vachellia nilotica, and Acacia ampliceps, concerning sustainable productivity. Sarwar et al. (2024) evaluate the significant determinants of electricity consumption and identifies an appropriate model to forecast the electricity price accurately. Zhou et al. (2024) construct a comprehensive evaluation index system for the provincial-level sustainable development of fossil energy in China covering three major dimensions (socio-economic, resource, and environmental). Moreover, a set of criteria for measuring the SDGs of fossil energy at the national level in China was developed. Liang et al. (2024) account for the embodied carbon emissions in buildings in 2020 for the Guangdong-Hong Kong Macau Greater Bay Area in China. The paper by Mahendru et al. (2024) explores the connections between renewable energy consumption, non-renewable energy consumption, gross fixed capital formation, the labor force, and economic growth in Renewable Energy Country Attractiveness Index countries. Farooq et al. (2024b) conduct a phytosociological survey to identify plant species with the highest importance value index in the vicinity of wastewater-irrigated areas. Teng et al. (2024) investigate the influence of disaggregated energy measures, e.g., renewable, and nuclear energy, income growth and urbanization on the load capacity factor (biocapacity divided by the ecological footprint) of major nuclear power countries, such as France, the USA, Canada, China, and Russia. Abbas et al. (2024) explore the export flow of Chilean copper in response to increasing demand side conditions in major 24 trading partners. The findings urge Chile to enhance production capacity of copper and other critical mineral and improve participation in global value chain to meet sharply increasing copper demand from environmental innovation and renewable energy transition. Li et al. (2024a) employ econometric panel techniques to explore the potential effects of education and green innovation in mitigating/exacerbating the role of natural resources in the Chinese provincial economy. Sun et al. (2024) apply the spatial Dubin model and threshold regression model to explore the impact of digital finance on carbon productivity, yielding the following key conclusions. Liu et al. (2024) take the construction of new energy demonstration cities as a quasi-natural experiment, study their impact on green technological innovation using difference-in-difference (DID), and conduct a robustness test using DID after propensity score matching. Wang et al. (2024) use two key factors (natural resource rent and anticorruption regulation) as threshold variables to reveal the effect of natural resources on the association between DE and carbon dioxide emissions. Xu et al. (2024b) build the ensemble learning model Random Forest and Gradient Boosting Regression to empirically analyse the relationship between industrial wastewater, industrial sulfur dioxide, PM2.5 and mangrove forests. Tiwari et al. (2024b) aim to demystify the role of green energy and green technology in establishing the nexus between behavioural intentions of tourists, technologies, and digital payments by using Perceived value, Compatibility, Perceived Enjoyment, and Social Influence as a predictor variables, Trust and Satisfaction as a mediating variables and Behavioural Intentions as an outcome Variable. Li et al. (2024b) propose a novel hybrid model for accurately forecasting energy prices by reducing noise levels. The findings are useful for policy makers, investors and portfolio managers to forecast the energy trends, and hedge the portfolio risk accordingly. Bashir et al. (2024) establish a novel theoretical framework to analyze the role of energy prices, energy consumption, gold prices and economic growth on environmental degradation in newly industrialized economies. Mohammed and Pata (2024) investigate the interdependence between raw minerals material and sea level rise, considering the role of economic performance and material footprint employing wavelet locale multiple correlations. The last paper by Cai et al. (2024) aims to suggest a novel hybrid model that can efficiently decrease the noise level in PM10 data to forecast it accurately. The results show that the CSD-based ANN model has a higher predictability for PM10 levels in Saudi Arabia due to low error values and higher Dstat values. We extend our sincere gratitude to all contributors of this Special Issue, as well as the referees who offered meticulous and outstanding comments. These insightful inputs greatly aided authors in refining their ideas and interpretations. A special acknowledgment goes to Dr. Lily Wang, Editorial Assistant at Geoscience Frontiers, for her invaluable support and assistance over the past two years. We also express our appreciation to Prof. Santosh, Editorial Advisor, for providing both the opportunity and editorial guidance throughout the entire production process of this Special Issue—from acceptance to the final preface. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.