Resources Policy最新文献

Temporalities of mining and displacement/resettlement in Mozambique's coal frontier 莫桑比克煤炭边境采矿和流离失所/重新安置的临时性

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-04-01 Epub Date: 2026-02-13 DOI: 10.1016/j.resourpol.2026.105875

Hiroyuki Tsuji , Kei Otsuki , Griet Steel , Joshua Kirshner

引用次数: 0

Who owns the minerals in polluted mine water? Property rights and institutional barriers to rare earth elements recovery from acid mine drainage 谁拥有被污染的矿井水中的矿物质？酸性矿山废水中稀土元素回收的产权与制度障碍

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-04-01 Epub Date: 2026-02-14 DOI: 10.1016/j.resourpol.2026.105876

Hélène F. Nguemgaing , Alan R. Collins

引用次数: 0

Improving productivity in mine loading and hauling operations through OEE analysis 通过OEE分析提高矿山装载和运输作业的生产率

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-04-01 Epub Date: 2026-02-11 DOI: 10.1016/j.resourpol.2026.105873

Mahmoud Basharaf , Ahmad Reza Sayadi , Mohammad Javad Rahimdel

The Overall Equipment Effectiveness (OEE) index is a crucial metric for assessing equipment performance across various industries, particularly in the mining sector. However, the traditional method of calculating OEE assumes equal weighting for its constituent parameters, which limits its accuracy. This study proposes an enhanced approach based on the Analytical Hierarchy Process (AHP) to improve the accuracy of OEE assessments for fleets of loading and hauling machinery in open-pit mines. This method assigns optimal weightings to OEE parameters, enabling more precise identification of critical bottlenecks within the fleet. A case study conducted at an iron ore mine demonstrates that the proposed approach can effectively improve fleet productivity and reduce production costs. This study introduces a prototype OEE-based analytical framework that integrates AHP-derived, strategy-driven weighting of effectiveness components with fleet-level aggregation and importance measure analysis, thereby extending conventional OEE from a descriptive operational metric to a decision-support tool for strategic mine planning. The results identify availability as the most influential component of effectiveness and reveal critical bottleneck machines whose improvement can significantly enhance overall fleet productivity.

整体设备效率（OEE）指数是评估各行业设备性能的关键指标，特别是在采矿业。然而，传统的计算OEE的方法对其组成参数的权重假设是相等的，这限制了其准确性。本文提出了一种基于层次分析法（AHP）的改进方法，以提高露天矿装载和运输机械车队的整体电气性能评估的准确性。该方法为OEE参数分配最佳权重，从而能够更精确地识别车队中的关键瓶颈。在某铁矿进行的实例研究表明，该方法可以有效地提高机队生产率，降低生产成本。本研究介绍了一个基于OEE的原型分析框架，该框架将ahp衍生的、策略驱动的有效性分量权重与船队级聚合和重要性度量分析相结合，从而将传统的OEE从描述性操作度量扩展到战略矿山规划的决策支持工具。结果确定可用性是有效性的最具影响力的组成部分，并揭示了关键的瓶颈机器，其改进可以显著提高整个车队的生产力。

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引用次数: 0

Mapping the difficulties in implementing resource efficiency measures of European Companies 绘制欧洲公司在执行资源效率措施方面的困难

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.resourpol.2026.105858

Sofia Gomes , João M. Lopes , Elisabete Nogueira

Resource efficiency is a key pillar of the European Union's strategy to address climate change, the energy transition, and sustainable economic growth. This study examines how firm-specific characteristics influence the difficulties EU companies face in implementing resource efficiency strategies. Using multilevel latent class analysis, the study identified four firm-level clusters, ranging from minimal to severe implementation barriers, and five country-level classes reflecting varying degrees of national-level challenges. Findings show that smaller and older firms with lower turnover and limited investment tend to face moderate to severe difficulties, highlighting the critical importance of financial capacity and organizational agility. At the country level, pronounced geographic variation emerges: firms in Northern and Central Europe generally face fewer obstacles, whereas those in Southern and Eastern Europe encounter greater challenges. The results emphasize the need for differentiated policy and managerial interventions, including targeted financial support, capacity-building programs, and cross-regional knowledge exchange, to promote strategic resource allocation and broader adoption of sustainable practices. Overall, the study advances theoretical understanding by linking firm heterogeneity with multilevel contextual factors and provides actionable insights for enhancing resource efficiency across the EU.

资源效率是欧盟应对气候变化、能源转型和可持续经济增长战略的关键支柱。本研究探讨了企业特征如何影响欧盟公司在实施资源效率战略时所面临的困难。利用多层次潜在类别分析，该研究确定了四个公司层面的集群，从最小到严重的实施障碍，以及五个国家层面的类别，反映了不同程度的国家层面的挑战。研究结果表明，较小和较老的公司，低流动率和有限的投资往往面临中度到严重的困难，突出了财务能力和组织敏捷性的关键重要性。在国家一级，出现了明显的地理差异：北欧和中欧的公司通常面临较少的障碍，而南欧和东欧的公司则面临更大的挑战。研究结果强调需要采取差别化的政策和管理干预措施，包括有针对性的资金支持、能力建设项目和跨区域知识交流，以促进战略性资源配置和更广泛地采用可持续实践。总体而言，该研究通过将企业异质性与多层次背景因素联系起来，推进了理论理解，并为提高整个欧盟的资源效率提供了可操作的见解。

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引用次数: 0

The impact of digital transformation on corporate carbon information disclosure: evidence from China's resource-based listed companies 数字化转型对企业碳信息披露的影响：来自中国资源型上市公司的证据

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.resourpol.2026.105860

Xiao Tan , Nanxin Li , Xiaoxuan Wu , Antong Li , Daxing Xu , Zhongkui Han

As major energy consumers and carbon emitters, resource-based enterprises play a critical role in supporting low-carbon social development. The rapid advancement of digital transformation has created new opportunities for enhancing carbon information disclosure within this sector. Drawing on empirical data from 2010 to 2023 for listed resource-based firms on the Shanghai and Shenzhen stock exchanges in China, this study employs a combination of an OLS model and a causal forest model to systematically examine the impact of digital transformation on carbon information disclosure. The findings suggest that digital transformation has a significant impact on enhancing the quality of carbon information disclosure among resource-based enterprises. A multidimensional examination of digital transformation effects indicates that artificial intelligence and big data technologies serve as key drivers for advancing carbon information disclosure in resource-based enterprises, whereas blockchain currently lacks evidence demonstrating such effective functionality. Mechanism testing reveals that this effect operates primarily through three pathways: improving information transparency, alleviating financing constraint, and upgrading the talent structure. We estimated the conditional average treatment effect for each observation using the causal forest model and conducted a heterogeneity analysis based on this estimate. Heterogeneity analysis reveals that the treatment effects of firm asset size and R&D intensity on digital transformation exhibit a roughly nonlinear U-shaped relationship, while firm age shows an inverted U-shaped relationship with treatment effects. This study provides valuable insights for policymakers and practitioners seeking to promote digital transformation and enhance the carbon disclosure practices of resource-based enterprises.

资源型企业作为能源消耗大户和碳排放大户，在支持低碳社会发展中发挥着重要作用。数字化转型的快速发展为加强该行业的碳信息披露创造了新的机遇。本文利用2010 - 2023年沪深两市资源型上市公司的实证数据，采用OLS模型和因果森林模型相结合的方法，系统考察了数字化转型对碳信息披露的影响。研究结果表明，数字化转型对资源型企业碳信息披露质量的提升有显著影响。对数字化转型效应的多维考察表明，人工智能和大数据技术是推动资源型企业碳信息披露的关键驱动因素，而区块链目前缺乏证明其有效功能的证据。机制检验表明，这种效应主要通过提高信息透明度、缓解融资约束和优化人才结构三个途径发挥作用。我们使用因果森林模型估计了每次观测的条件平均处理效果，并在此基础上进行了异质性分析。异质性分析表明，企业资产规模和研发强度对数字化转型的处理效果大致呈非线性u型关系，而企业年龄与处理效果呈倒u型关系。本研究为寻求促进资源型企业数字化转型和加强碳信息披露实践的政策制定者和实践者提供了有价值的见解。

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引用次数: 0

Digging deeper: Evaluating post-mining recovery policies in Ghana and Australia through the lens of sustainable livelihoods 深入挖掘：从可持续生计的角度评估加纳和澳大利亚的采矿后恢复政策

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.resourpol.2026.105857

Arnold Dela Azumah, Annah E. Piggott-McKellar, Karen Vella

The rapid proliferation of abandoned mines worldwide underscores critical failures in mine closure governance. However, it remains unclear whether existing closure frameworks comprehensively address the multidimensional nature of community wellbeing and sustainable livelihoods. This paper applies the Sustainable Livelihoods Framework to evaluate mine closure and recovery policies in Ghana, Queensland, and Western Australia. A directed content analysis was conducted of 34 policy documents (both regulatory and non-binding) examining how six livelihood assets natural, financial, human, physical, social, and cultural are embedded. Results reveal that natural assets dominate policy attention across all jurisdictions while human assets remain minimally addressed. Despite sophisticated environmental recovery provisions, none adequately addresses integrated sustainable livelihoods, with critical enforceability distinctions limiting judicial review options when important provisions exist only in non-statutory guidance. The analysis identifies critical gaps in workforce transition, community benefit-sharing, and social planning, highlighting the need for holistic governance frameworks that balance environmental recovery with comprehensive livelihood support for sustainable post-mining transitions. We recommend policy reform to ensure closure frameworks address all livelihood assets simultaneously. Future research should focus on investigating regulatory loopholes enabling indefinite care and maintenance arrangements by mining companies rather than requiring full closure and recovery, as well as developing integrated assessment frameworks across all livelihood dimensions.

世界范围内废弃矿山的迅速扩散凸显了矿山关闭治理的严重失败。然而，目前尚不清楚现有的封闭框架是否全面解决了社区福祉和可持续生计的多层面性质。本文应用可持续生计框架来评估加纳、昆士兰和西澳大利亚州的矿山关闭和回收政策。对34份政策文件（既有规范性文件，也有非约束性文件）进行了直接内容分析，考察了六种生计资产（自然、金融、人力、物质、社会和文化）是如何嵌入的。结果显示，自然资产在所有司法管辖区的政策关注中占主导地位，而人力资产仍然是最低限度的。尽管有复杂的环境恢复条款，但没有一个充分解决综合可持续生计问题，当重要条款仅存在于非法定指导中时，关键的可执行性区别限制了司法审查选择。分析指出了劳动力转型、社区利益分享和社会规划方面的关键差距，强调需要建立整体治理框架，平衡环境恢复与全面生计支持，以实现可持续的采矿业后转型。我们建议进行政策改革，以确保关闭框架同时处理所有生计资产。未来的研究应侧重于调查监管漏洞，使矿业公司能够作出无限期的照料和维护安排，而不是要求完全关闭和恢复，以及制定涵盖所有生计层面的综合评估框架。

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引用次数: 0

A two-sector model of resource depletion in Peruvian mining districts: Bayesian Model Averaging calibration and 3D phase diagram analysis 秘鲁矿区资源枯竭的两部门模型：贝叶斯模型平均校准和三维相图分析

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-07 DOI: 10.1016/j.resourpol.2026.105863

Favio Leiva

This article analyzes the macroeconomic growth trajectory of Peruvian mining districts by developing a two-sector dynamic framework that addresses the limitations of traditional single-sector models. Calibrated using Bayesian Model Averaging (BMA) on a novel dataset combining administrative records and satellite imagery, the model is defined by a system of three coupled ordinary differential equations for mining capital, labor, and the resource stock. The system is solved numerically using the DormandPrince (RK45) method, revealing a distinct three-stage life cycle: boom, maturity, and decline. Sensitivity analysis confirms that this boom and bust cycle is robust to various parameters. A key finding is the asymmetric response of production factors: high labor mobility generates a transitory Dutch Disease, while the mining sector’s high capital intensity creates greater inertia. The analysis of the 3D phase diagram and its isoclines, specifically the skateboard ramp geometry of the labor isocline, provides the structural explanation for this sequenced decline. Empirically, the BMA analysis confirms the structural assumptions of the model, identifying a robust capital elasticity around 0.33 and a significant negative effect of cumulative depletion. Finally, by evaluating policy settings through a Hummingbird graph visualization, the paper demonstrates that without a Hartwick-style capital transfer and the maintenance of industrial investment, the model predicts a long-run economic collapse: a fatal, longterm Dutch Disease supported by historical precedents. The study concludes that rather than an inherent curse or blessing, natural resources are a test of an economy’s prudence and institutional agency.

本文通过开发一个解决传统单部门模型局限性的两部门动态框架，分析了秘鲁矿区的宏观经济增长轨迹。使用贝叶斯模型平均（BMA）在结合行政记录和卫星图像的新数据集上进行校准，该模型由采矿资本、劳动力和资源存量的三个耦合常微分方程系统定义。使用DormandPrince （RK45）方法对该系统进行了数值求解，揭示了一个明显的三阶段生命周期：繁荣、成熟和衰退。敏感性分析证实，这种盛衰周期对各种参数都具有鲁棒性。一个重要的发现是生产要素的不对称反应：高劳动力流动性产生了短暂的荷兰病，而采矿业的高资本密集度则产生了更大的惰性。对三维相位图及其等斜线的分析，特别是劳动等斜线的滑板坡道几何形状，为这种顺序下降提供了结构上的解释。从经验上看，BMA分析证实了模型的结构性假设，确定了0.33左右的稳健资本弹性和累积枯竭的显著负面影响。最后，通过蜂鸟图形可视化评估政策设置，本文证明，如果没有哈特威克式的资本转移和工业投资的维持，该模型预测了长期的经济崩溃：一种致命的、长期的荷兰病，有历史先例支持。该研究得出的结论是，自然资源不是天生的祸或福，而是对一个经济体的审慎和制度机构的考验。

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引用次数: 0

Sustainable growth of aluminum sector in India: An economic analysis of energy intensity, investment, tariffs and competitiveness 印度铝行业的可持续增长：能源强度、投资、关税和竞争力的经济分析

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.resourpol.2026.105871

Anchal Arora

The production process of Aluminum is highly energy-intensive, contributing significantly to greenhouse gas emissions and poses challenges to its long-term growth, sustainability, and competitiveness. While recent literature on sustainable firm growth has primarily focused on macroeconomic, financial, risk, and governance factors, this study emphasizes the role of micro-environmental factors in influencing growth rates. Using panel data from 10 major aluminum firms spanning 2013 to 2022 and applying a dynamic panel difference GMM model, the study examines how energy intensity, capital investment, input import tariffs, and other economic variables affect the sales growth of downstream aluminum firms. The findings offer important insights into the sustainable development of the aluminum downstream sector and highlight potential policy measures to enhance the global competitiveness and environmental sustainability of Indian aluminum products in the changing global landscape.

铝的生产过程是高度能源密集型的，对温室气体排放有很大贡献，对其长期增长、可持续性和竞争力构成了挑战。虽然最近关于可持续企业增长的文献主要集中在宏观经济、金融、风险和治理因素上，但本研究强调了微观环境因素在影响增长率方面的作用。本文利用2013年至2022年10家主要铝企业的面板数据，运用动态面板差异GMM模型，考察了能源强度、资本投资、投入进口关税和其他经济变量如何影响下游铝企业的销售增长。研究结果为铝下游行业的可持续发展提供了重要见解，并强调了在不断变化的全球格局中提高印度铝产品的全球竞争力和环境可持续性的潜在政策措施。

引用次数: 0

The impact of natural resource dependence on firm productivity in non-resource sectors 自然资源依赖对非资源部门企业生产率的影响

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-04 DOI: 10.1016/j.resourpol.2026.105844

Sandrine Kablan

This article examines the resource curse hypothesis using a sample of 152,201 observations of 10,000 firms in 41 sectors, across 143 countries over 2006–2024, exploring the relationship between natural resource abundance and firm productivity growth in non-resource sectors. This issue deserves more attention in the literature. Using econometric analysis at both the sectoral and firm levels, we uncover the mechanisms underlying the decline of resource-rich economies. Our unique approach combines microeconomic and meso-economic data on sectors and firms respectively with macroeconomic data on natural resource rents across countries, allowing us to identify and disentangle the mechanisms that weaken non-resource sectors. Our results highlight that key institutional features such as corruption control, government effectiveness, and regulatory quality shape the business climate for firms by fostering incentives for innovation, capital accumulation, and worker training, which enhance firm productivity rather than rent-seeking and corruption. The policy recommendations from the results are threefold: addressing macro-institutional, meso-sectoral, and firm-level failures. These policies aim not only to improve the business environment through institutional reforms, but also to promote sectoral policies that support the development of non-resource sectors and the increase of firm productivity.

本文利用2006-2024年间143个国家41个行业10000家企业的152201个观察样本检验了资源诅咒假说，探讨了自然资源丰富度与非资源行业企业生产率增长之间的关系。这一问题值得更多的文献关注。通过在部门和企业层面的计量经济分析，我们揭示了资源丰富经济体衰退的机制。我们独特的方法将部门和企业的微观经济和中观经济数据与各国自然资源租金的宏观经济数据相结合，使我们能够识别和理清削弱非资源部门的机制。我们的研究结果强调，腐败控制、政府效率和监管质量等关键制度特征通过鼓励创新、资本积累和工人培训来塑造企业的商业环境，从而提高企业生产率，而不是寻租和腐败。从研究结果中得出的政策建议有三个方面：解决宏观机构、中部门和企业层面的失灵。这些政策不仅旨在通过体制改革改善商业环境，而且还旨在促进支持非资源部门发展和提高企业生产率的部门性政策。

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引用次数: 0

Economic sustainability in the critical materials-supply chains-renewable energy nexus for a low carbon future 低碳未来的关键材料-供应链-可再生能源关系的经济可持续性

IF 10.2 2区经济学 0 ENVIRONMENTAL STUDIES

Resources Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.resourpol.2026.105862

Homayoun Fathollahzadeh , Gavin M. Mudd , Simon M. Jowitt

The global transition toward renewable energy has triggered an unprecedented demand for critical minerals, yet conventional mining models often struggle to balance long-term profitability with environmental and social safeguards. This paper provides a unique conceptual integration by embedding risk-management hierarchies directly into financial cost frameworks, thereby bridging the gap between firm-level operational viability and system-level supply chain resilience. By synthesizing the All-In Sustaining Costs (AISC) metric with a structured Hierarchy of Control (HOC), we propose an integrated framework for economic sustainability. We apply this framework to the 'by-product paradox’ using tellurium in solar PV as a case study, to facilitate actionable strategies such as biomining and renewable energy integration. Ultimately, this framework provides a pathway for developing the agile and sustainable supply chains necessary to meet global decarbonization targets. Failure to address these challenges could disconnect mining from climate goals, hindering the clean energy transition.

全球向可再生能源的转型引发了对关键矿产前所未有的需求，但传统的采矿模式往往难以平衡长期盈利与环境和社会保障。本文提供了一个独特的概念整合，将风险管理层次直接嵌入到财务成本框架中，从而弥合了公司层面的运营可行性和系统层面的供应链弹性之间的差距。通过综合全投入持续成本（AISC）指标和一个结构化的控制层次（HOC），我们提出了一个经济可持续性的综合框架。我们将这一框架应用于“副产品悖论”，以太阳能光伏中的碲作为案例研究，以促进可操作的策略，如生物采矿和可再生能源整合。最终，该框架为开发实现全球脱碳目标所必需的敏捷和可持续供应链提供了一条途径。如果不能解决这些挑战，采矿业可能会与气候目标脱节，阻碍清洁能源转型。

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引用次数: 0