Resources Policy最新文献

{"title":"Uncovering the features of rhodium metabolism in China during 2011–2022","authors":"Jinze Li ,&nbsp;Yong Geng ,&nbsp;Sijie Liu ,&nbsp;Chen Zhong ,&nbsp;Wang Gu","doi":"10.1016/j.resourpol.2024.105378","DOIUrl":"10.1016/j.resourpol.2024.105378","url":null,"abstract":"<div><div>Rhodium has unique properties, such as high-temperature oxidation resistance and catalytic activity, making it irreplaceable in various domains such as automobile exhaust purification and chemical production. Given its pivotal role in facilitating China's green and low-carbon transition and the advancement of high-tech industries, rhodium has become a strategic resource. However, China heavily relies on importing rhodium to meet its domestic demand due to its limited rhodium reserve. This study employs dynamic material flow analysis (DMFA) to trace the rhodium flows throughout its entire life cycle in China for the period of 2011–2022 so that the key features of rhodium metabolism can be uncovered, including rhodium production, consumption, trade, in-use stock, and recycling. Our results show that the domestic demand for rhodium increased by 2.18 times during this study period. The cumulative rhodium consumption reached 82,890 kg, of which automobile three-way catalysts (TWCs) accounted for 71.85% of the total rhodium consumption, followed by the chemical sector (13.64%) and the glass sector (8.95%). China's accumulative imported rhodium reached 77,447 kg, meaning an import reliance rate (IRR) of 91.81%. The total recycled rhodium reached 21,184 kg, meaning a recycling rate (RR) of 58.63%. These findings reflect that China is facing several challenges in achieving sustainable rhodium resource management, such as a significant supply risk, and inadequate recycling. Consequently, China should establish a comprehensive rhodium recycling system and diversify its rhodium supply both domestically and internationally to ensure the sustainable supply of rhodium resources.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105378"},"PeriodicalIF":10.2,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A predictive model for the security and stability of the lithium-ion battery industry chain based on price modal combinations","authors":"Li Jian-fei ,&nbsp;Peng Han ,&nbsp;Luo Xiao-yu","doi":"10.1016/j.resourpol.2024.105372","DOIUrl":"10.1016/j.resourpol.2024.105372","url":null,"abstract":"<div><div>Prices act as crucial market signals within industrial chains, and the smooth transmission of prices has significantly impacts on the safety and stability of the entire chain. This paper considers the lithium-ion battery industry chain as a complex system and uses prices as modal signals to construct an FEEMD-NAR-HMM industrial chain safety and stability prediction model. The research findings are as follows: (1) The lithium-ion industry chain exhibits a typical \"price-stability\" dissipative structure, where the consistency of price fluctuations within the industry chain has a significant impact on its overall safety and stability. (2) When products at different stages of the lithium-ion industry chain experience simultaneous price increases or decreases, the safety and stability of the industry chain are at a high level. When the transmission smoothness of price fluctuations across different stages of the lithium-ion industry chain is low, the safety and stability of the industry chain are at a low level. (3) In the near future, the lithium-ion industry chain will continue to exposed to volatility risks. The government should implement macroeconomic control measures to stabilize the lithium-ion market and increase research investment in lithium resource recycling to prevent a crisis of lithium resource shortages.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105372"},"PeriodicalIF":10.2,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geopolitical risks and crude oil futures volatility: Evidence from machine learning","authors":"Hongwei Zhang ,&nbsp;Wentao Wang ,&nbsp;Zibo Niu","doi":"10.1016/j.resourpol.2024.105374","DOIUrl":"10.1016/j.resourpol.2024.105374","url":null,"abstract":"<div><div>This paper conducts a dynamic analysis of the forecasting impact of categorical geopolitical risks on crude oil futures volatility, employing the Transformer-based neural network. Empirical results indicate geopolitical risk linked to war and terrorism consistently exerts the most significant impact across all forecast horizons. Our investigation further reveals that the impact of different subcategories of geopolitical risk on crude oil futures volatility exhibits noteworthy time-varying characteristics. Furthermore, the predictive impact of geopolitical risk on crude oil futures volatility exhibits asymmetry across distinct economic states. In short-term forecasts, the incremental predictive information derived from geopolitical risks primarily concentrated in the economic expansion, gradually transitioning towards economic recession as the forecast horizon extends. More importantly, our research emphasizes that the predictive information derived from geopolitical risks enhances the precision of crude oil futures volatility forecasts and delivers significant economic benefits to investors by integrating valuable information into their portfolio strategies.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105374"},"PeriodicalIF":10.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing the human reliability analysis model tailored for intelligent coal mining face system","authors":"Yan Zhang ,&nbsp;Ninghao Sun ,&nbsp;Xiangyang Hu ,&nbsp;Ruipeng Tong","doi":"10.1016/j.resourpol.2024.105375","DOIUrl":"10.1016/j.resourpol.2024.105375","url":null,"abstract":"<div><div>The still severe situation of work safety and the increasingly prominent issue of labor shortage are currently the key factors affecting the safety and sustainable development of coal industry. To fundamentally solve these problems, the construction of intelligent coal mines has become an inevitable trend. In the current construction context, intelligent coal mining operations rely more on human-system interaction, bringing new human error risks. The applicable human reliability analysis (HRA) method can effectively identify and evaluate the risks, and further improve the safety level of intelligent coal mines. However, research on HRA for intelligent coal mines is still in early stages, lacking applicable theoretical basis and methodological system. To make up for the limitations, focusing on the research object of intelligent coal mining face (ICMF) system, firstly, a cognitive model suitable for ICMF operations was constructed combining with the system structure and task characteristics, laying a cognitive theoretical foundation for initiating research on human safety of intelligent coal mines. Based on this, the ICMF-HRA variables including general human failure event (HFE), seven main crew functions (MCFs), eighteen crew activity primitives (CAPs), twenty-five crew failure modes (CFMs), and twenty-nine performance influencing factors (PIFs), and three qualitative dependency structures (i.e., HFE-MCF-CAP-CFM, CFM-PIF, and PIF-PIF) and six quantitative probability relationships between them are developed using fuzzy Bayesian network, which constitutes the ICMF-HRA model. Moreover, the application of this model is elaborated combining communication interruption event, confirming the availability and adaptability of this model. The ICMF-HRA model fills the HRA research gap of intelligent coal mines and can be used for predictive and retrospective analysis, providing decision support for risk prevention and disposal. This study is expected to establish theoretical basis and provide practical tool for improving human safety level of intelligent coal mines, further promoting the safety and sustainable development of coal industry.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105375"},"PeriodicalIF":10.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of global product design on supply chain efficiency and natural resources management","authors":"Shanming Xu ,&nbsp;Li Xu ,&nbsp;Ying Liu","doi":"10.1016/j.resourpol.2024.105366","DOIUrl":"10.1016/j.resourpol.2024.105366","url":null,"abstract":"<div><div>The significance of global product design as a primary factor in determining supply chain efficiency and natural resource management. This study examines the impact of global product design changes on process and supply chain practices. Specifically, it seeks to understand in promoting sustainable practices across global supply chains. This study, utilizes the fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods to evaluate the criteria, sub-criteria, and various significant opportunities influencing sustainable product design and supply chain management. The fuzzy AHP method is used to assess the key criteria and their respective sub-criteria. The fuzzy TOPSIS method is used to rank the opportunities in driving sustainable practices across global supply chains. The results of fuzzy AHP show that innovation and product differentiation (C4), economic viability (C1), and supply chain efficiency (C5) are the crucial criteria. While the results of fuzzy TOPSIS present that supply chain transparency (O2) is the most suitable opportunity, followed by circular economy practices (O1) and policy advocacy and compliance (O6) in adopting global product design on supply chain efficiency and natural resources management. Thus, this study is highly relevant to the governments, industry specialists, and policymakers who aim at enhancing the dynamic business environment and sustainable development.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105366"},"PeriodicalIF":10.2,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Natural resource rent, green finance, and CO2 emissions from the industrial sector","authors":"Henian Zhu ,&nbsp;Mengya Chen ,&nbsp;Songnian Zhao","doi":"10.1016/j.resourpol.2024.105370","DOIUrl":"10.1016/j.resourpol.2024.105370","url":null,"abstract":"<div><div>This study investigates the effect of natural resource rents and green finance on industrial sustainability in 20 OECD countries from 2010 to 2020, using the CCEMG-ARDL approach. Findings reveal that a 1% increase in green finance reduces CO₂ emissions by 0.43% in the short term and 0.27% in the long term, highlighting its role in supporting environmentally friendly investments. In contrast, a 1% rise in fossil fuel rents increases CO₂ emissions by 0.29% short-term and 0.05% long-term, showing the pollutive impact of fossil fuel profits. Additionally, a 1% increase in electricity usage raises CO₂ emissions by 0.41% short-term and 0.16% long-term, stressing the need for cleaner energy. Industry-specific patents show limited alignment with sustainability goals. Policy measures should target resource rent management, boost green finance, and encourage sustainable practices to promote industrial greening.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105370"},"PeriodicalIF":10.2,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive inventory of Australia's critical minerals: Simplifying the complexity of critical resources","authors":"Gavin M. Mudd ,&nbsp;Tim T. Werner ,&nbsp;Zhehan Weng ,&nbsp;Jane Thorne","doi":"10.1016/j.resourpol.2024.105345","DOIUrl":"10.1016/j.resourpol.2024.105345","url":null,"abstract":"<div><div>National inventories of mineral resources invariably exclude critical minerals produced as smelter-refinery by-products due to insufficient data. This study addresses this gap through the development of a comprehensive database of Australia's critical minerals resources in mines and mineral deposits combined with extensive geochemical data analysis. We provide a description of how such a database can be constructed for any country using publicly available information and consider a range of uncertainties arising from the use of proxy data to estimate critical mineral grades. A detailed analysis of Australian critical mineral resource endowments is presented alongside a review and discussion of reporting mechanisms and transparency. Our results show that despite statistical uncertainties, data complexities and limited prior accounting, estimated Australian endowments of a range of critical metals which currently remain unreported are likely to be substantial (e.g., an additional 4.2 Mt Co). This Australian case study suggests that the global development of similar databases is likely to reveal substantially greater endowments of critical metals than previously recognised, providing confidence in the ability to simplify the previously complex assessment of critical minerals required for the modern world's technological needs.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105345"},"PeriodicalIF":10.2,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Governance effects on resource rent management and resource pollution","authors":"Xiaokang Wang ,&nbsp;Ting Su","doi":"10.1016/j.resourpol.2024.105361","DOIUrl":"10.1016/j.resourpol.2024.105361","url":null,"abstract":"<div><div>The issue of the resource curse has become critical for resource-rich countries in recent decades. This study empirically examines the impact of governance quality on the resource curse in 20 major resource-rich nations from 2004 to 2019. Using World Bank governance indicators, it assesses the effects of voice and accountability, government effectiveness, and control of corruption on a composite resource curse index, which includes resource rent and pollution. CS-ARDL results show that improvements in governance indicators reduce the resource curse in both the short and long term, with the largest impact seen from control of corruption. These findings highlight the crucial role of governance in addressing the resource curse.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105361"},"PeriodicalIF":10.2,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minerals’ criticality and countries' mining competitiveness: Two faces of the same coin","authors":"Jorge Valverde-Carbonell ,&nbsp;Carlo Pietrobelli ,&nbsp;María de las Mercedes Menéndez","doi":"10.1016/j.resourpol.2024.105359","DOIUrl":"10.1016/j.resourpol.2024.105359","url":null,"abstract":"<div><div>This article introduces a novel theoretical and empirical framework for estimating the criticality of key minerals that are intensively used in the energy transition and the mining competitiveness of countries producing them, using economic complexity techniques.</div><div>The theoretical framework proposes that the most competitive countries are those exporting a broad range of mineral goods, including the most critical ones. Meanwhile, the most critical minerals are the least ubiquitous and are exported by the most competitive countries. The empirical framework relies on an endogenous system of equations in which countries’ mining competitiveness and mineral criticality are simultaneously co-determined. The equation system is solved using the Fitness-Criticality algorithm (FCa), an adaptation of the Economic Fitness-Complexity algorithm.</div><div>The results show that South Africa, Russia, the United States, and China are the most competitive mining countries. Meanwhile, the platinum group metals, silicon, rare earths, and lithium are the most critical minerals. These results are consistent with other methodologies employed by different experts that separately estimate both dimensions and derive rankings of countries and minerals, but are obtained with a methodology that offers substantial advantages.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105359"},"PeriodicalIF":10.2,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blockchain evolution, artificial intelligence and ferrous metal trade","authors":"Qian Mao ,&nbsp;Yilong Li","doi":"10.1016/j.resourpol.2024.105369","DOIUrl":"10.1016/j.resourpol.2024.105369","url":null,"abstract":"<div><div>This study examines the impact of blockchain technology and artificial intelligence (AI) on the trade volume of iron and steel in 20 major producing countries from 2005 to 2022. Using the FMOLS method, the results show that blockchain regulations reduce trade volumes by increasing transparency and compliance costs, deterring market participation. A 1% increase in AI robotics imports leads to a 0.296% decline in trade due to improved production efficiency. Economic growth and population growth, however, boost trade. A 1% rise in internet access reduces trade by 0.336% as digitalization enhances supply chain efficiency. Overall, blockchain and AI reduce extraction and trade volumes, supporting environmental sustainability. Policy recommendations include developing blockchain regulations, promoting green cryptocurrencies, and leveraging big data for sustainable practices in the ferrous metal industry.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105369"},"PeriodicalIF":10.2,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142531728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}