Pub Date : 2025-03-08DOI: 10.1016/j.resourpol.2025.105540
Adam Kelly
Caps aiming to reduce the consumption and extraction of resources with high environmental impact have been proposed, particularly from within the degrowth literature. Yet little empirical work has been undertaken investigating how caps could be implemented, the form they may take, and their likely impact. This article bridges this gap by empirically investigating a resource cap on gold in Australia through a material flow analysis and an investigation of different gold cap scenarios. It was found that both gold extraction, and extraction and import, caps are policy options worth exploring. A gold cap in Australia would have the potential for regional environmental benefits beyond Australia, and would increase gold circularity through incentivising the repurposing of gold bullion for productive uses. This case study progresses the literature through demonstrating that resource caps are a feasible policy option for reducing resource consumption.
{"title":"Is all that now glitters sufficient? An investigation of a gold resource cap in Australia","authors":"Adam Kelly","doi":"10.1016/j.resourpol.2025.105540","DOIUrl":"10.1016/j.resourpol.2025.105540","url":null,"abstract":"<div><div>Caps aiming to reduce the consumption and extraction of resources with high environmental impact have been proposed, particularly from within the degrowth literature. Yet little empirical work has been undertaken investigating how caps could be implemented, the form they may take, and their likely impact. This article bridges this gap by empirically investigating a resource cap on gold in Australia through a material flow analysis and an investigation of different gold cap scenarios. It was found that both gold extraction, and extraction and import, caps are policy options worth exploring. A gold cap in Australia would have the potential for regional environmental benefits beyond Australia, and would increase gold circularity through incentivising the repurposing of gold bullion for productive uses. This case study progresses the literature through demonstrating that resource caps are a feasible policy option for reducing resource consumption.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105540"},"PeriodicalIF":10.2,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143579377","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}
Pub Date : 2025-03-07DOI: 10.1016/j.resourpol.2025.105541
Irsa Azam, Yongsheng Guo, Mirza Muhammad Naseer
This study examines the impact of industrialisation, innovation, foreign capital, and financial development on resource management and social well-being in newly industrialised countries from 1999 to 2022. Using fixed effects models as the foundation for regression analysis, we incorporate advanced econometric techniques, including Fully Modified Ordinary Least Squares (FMOLS) and Generalised Method of Moments (GMM) to effectively tackle issues of heteroscedasticity and autocorrelation, thereby ensuring robust and reliable estimates. Our findings demonstrate that industrialisation and innovation increase material consumption and social well-being. This research adds to the existing literature by providing nuanced insights into the complementary roles of industrialisation and innovation in promoting sustainable development within newly industrialised nations (NICs). The implications of this study are crucial for policymakers and stakeholders, as they offer a strategic framework for fostering economic growth while ensuring resource efficiency and enhancing social welfare.
{"title":"The sustainability challenge and social benefits of industrialisation in NICs","authors":"Irsa Azam, Yongsheng Guo, Mirza Muhammad Naseer","doi":"10.1016/j.resourpol.2025.105541","DOIUrl":"10.1016/j.resourpol.2025.105541","url":null,"abstract":"<div><div>This study examines the impact of industrialisation, innovation, foreign capital, and financial development on resource management and social well-being in newly industrialised countries from 1999 to 2022. Using fixed effects models as the foundation for regression analysis, we incorporate advanced econometric techniques, including Fully Modified Ordinary Least Squares (FMOLS) and Generalised Method of Moments (GMM) to effectively tackle issues of heteroscedasticity and autocorrelation, thereby ensuring robust and reliable estimates. Our findings demonstrate that industrialisation and innovation increase material consumption and social well-being. This research adds to the existing literature by providing nuanced insights into the complementary roles of industrialisation and innovation in promoting sustainable development within newly industrialised nations (NICs). The implications of this study are crucial for policymakers and stakeholders, as they offer a strategic framework for fostering economic growth while ensuring resource efficiency and enhancing social welfare.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105541"},"PeriodicalIF":10.2,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562854","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}
Pub Date : 2025-03-07DOI: 10.1016/j.resourpol.2025.105529
Gil Montant
This empirical study focuses on the effectiveness of the coordination strategies developed in the oil market between 2009 and 2024 with a focus on the OPEC + oil cartel settled-up by the end of 2016. One uses various econometric techniques specific to panel data to assess the ability of oil producers adherent to OPEC and/or OPEC + to exercise an impact on the oil price. The study integrates the time horizon followed by oil producers in the definition of their collusion strategies. The analysis reveals that some coordination mechanisms were already present amongst the set of ten countries that will later adhere to the OPEC+ and this before the official set-up of this cartel. However, these strategies proved to be ineffective to exercise a significant impact on oil price in 2009–2016. In addition, the analysis suggests the existence of a significant link between the time horizon considered by a country and its incitation to conform to official production quotas. Thirdly, results indicate that both OPEC and OPEC + have been more able to impact the oil price in 2017–2022. The invasion of Ukraine by Russia in February 2022 seems to have disorganized the oil market, which explains a significant loss of influence of both OPEC and OPEC + on the oil price.
{"title":"The effectiveness of OPEC and OPEC+ from 2009 to 2024: An empirical appraisal","authors":"Gil Montant","doi":"10.1016/j.resourpol.2025.105529","DOIUrl":"10.1016/j.resourpol.2025.105529","url":null,"abstract":"<div><div>This empirical study focuses on the effectiveness of the coordination strategies developed in the oil market between 2009 and 2024 with a focus on the OPEC + oil cartel settled-up by the end of 2016. One uses various econometric techniques specific to panel data to assess the ability of oil producers adherent to OPEC and/or OPEC + to exercise an impact on the oil price. The study integrates the time horizon followed by oil producers in the definition of their collusion strategies. The analysis reveals that some coordination mechanisms were already present amongst the set of ten countries that will later adhere to the OPEC+ and this before the official set-up of this cartel. However, these strategies proved to be ineffective to exercise a significant impact on oil price in 2009–2016. In addition, the analysis suggests the existence of a significant link between the time horizon considered by a country and its incitation to conform to official production quotas. Thirdly, results indicate that both OPEC and OPEC + have been more able to impact the oil price in 2017–2022. The invasion of Ukraine by Russia in February 2022 seems to have disorganized the oil market, which explains a significant loss of influence of both OPEC and OPEC + on the oil price.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105529"},"PeriodicalIF":10.2,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562855","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}
Pub Date : 2025-03-06DOI: 10.1016/j.resourpol.2025.105521
Ablay Dosmaganbetov , Simeon Nanovsky
The Extractive Industries Transparency Initiative was originally conceived by Tony Blair in 2002 to improve the transparency and accountability of extractive industries in resource-rich economies. It is theorized that added transparency will create an environment welcoming foreign direct investment (FDI). To investigate this claim, this paper studies the impact of EITI on FDI using a panel dataset of 62 countries over 30 years. The results show that EITI membership significantly increases FDI by roughly 50% depending on the specification. Further, when examining interaction and threshold effects, the paper finds asymmetric impacts during global economic downturns: while countries that leave EITI experience significant reductions in FDI, even the mere intention to join EITI is associated with significant increases in FDI. These findings demonstrate that EITI membership serves as an effective policy mechanism for attracting foreign investment in resource-rich developing economies.
{"title":"Unveiling the nexus: Impact of the Extractive Industries Transparency Initiative (EITI) on foreign direct investment (FDI)","authors":"Ablay Dosmaganbetov , Simeon Nanovsky","doi":"10.1016/j.resourpol.2025.105521","DOIUrl":"10.1016/j.resourpol.2025.105521","url":null,"abstract":"<div><div>The Extractive Industries Transparency Initiative was originally conceived by Tony Blair in 2002 to improve the transparency and accountability of extractive industries in resource-rich economies. It is theorized that added transparency will create an environment welcoming foreign direct investment (FDI). To investigate this claim, this paper studies the impact of EITI on FDI using a panel dataset of 62 countries over 30 years. The results show that EITI membership significantly increases FDI by roughly 50% depending on the specification. Further, when examining interaction and threshold effects, the paper finds asymmetric impacts during global economic downturns: while countries that leave EITI experience significant reductions in FDI, even the mere intention to join EITI is associated with significant increases in FDI. These findings demonstrate that EITI membership serves as an effective policy mechanism for attracting foreign investment in resource-rich developing economies.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105521"},"PeriodicalIF":10.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551689","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}
Pub Date : 2025-03-06DOI: 10.1016/j.resourpol.2025.105542
Iqra Yaseen , Surendar Singh , Suvajit Banerjee
This study aims to evaluate the opportunities for a sustainable environment, an equitable economy, and a just society through the international trade of critical minerals. By employing a gravity model, it intricately analyzes the trade dynamics between India and 13 other members of the Mineral Securities Partnership (MSP). The study indicates a landscape rich with potential for enhancing environmental protection; however, this is somewhat overshadowed by a decrease in the overall impacts on the economic and social dimensions of sustainable trade practices. The apparent lack of synergy among the various outcomes that arise from increased trade underscores a pressing need for policymakers to create pathways where environmental, economic, and social opportunities can harmoniously reinforce one another, amplifying the benefits of critical mineral trade. Moreover, the empirical findings highlight that income heterogeneity positively influences sustainable trade practices across environmental, economic, and societal fronts, thereby affirming the Heckscher-Ohlin hypothesis. Crucially, the study identifies the variability in trade uncertainty between partners as a powerful catalyst for trade and a driver of innovation within MSP countries. The discussion further delves into the effects of research and innovation, currency exchange, and geographical distance on sustainable trade, especially concerning QUAD and non-QUAD nations. This emphasizes the imperative for customized strategies that elevate global sustainable trade, considering the unique economic structures and regulatory landscapes at play.
{"title":"Bolstering critical minerals trade between India and other MSP countries: A gravity model evaluation","authors":"Iqra Yaseen , Surendar Singh , Suvajit Banerjee","doi":"10.1016/j.resourpol.2025.105542","DOIUrl":"10.1016/j.resourpol.2025.105542","url":null,"abstract":"<div><div>This study aims to evaluate the opportunities for a sustainable environment, an equitable economy, and a just society through the international trade of critical minerals. By employing a gravity model, it intricately analyzes the trade dynamics between India and 13 other members of the Mineral Securities Partnership (MSP). The study indicates a landscape rich with potential for enhancing environmental protection; however, this is somewhat overshadowed by a decrease in the overall impacts on the economic and social dimensions of sustainable trade practices. The apparent lack of synergy among the various outcomes that arise from increased trade underscores a pressing need for policymakers to create pathways where environmental, economic, and social opportunities can harmoniously reinforce one another, amplifying the benefits of critical mineral trade. Moreover, the empirical findings highlight that income heterogeneity positively influences sustainable trade practices across environmental, economic, and societal fronts, thereby affirming the Heckscher-Ohlin hypothesis. Crucially, the study identifies the variability in trade uncertainty between partners as a powerful catalyst for trade and a driver of innovation within MSP countries. The discussion further delves into the effects of research and innovation, currency exchange, and geographical distance on sustainable trade, especially concerning QUAD and non-QUAD nations. This emphasizes the imperative for customized strategies that elevate global sustainable trade, considering the unique economic structures and regulatory landscapes at play.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105542"},"PeriodicalIF":10.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562853","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}
Pub Date : 2025-03-06DOI: 10.1016/j.resourpol.2025.105515
Ingrid Ahmer, Bertram Ostendorf
Mining-induced displacement and loss of livelihood assets are extreme social impacts that affect host communities. This research directly addresses the challenges faced by displaced subsistence farmers who must secure alternative agricultural land to rebuild their livelihoods by exploring how the resources of the mining project can be leveraged to help these farmers identify suitable arable land. The study demonstrates how data collected during mining exploration can be repurposed to assess the agricultural potential of nearby land, and effective ways to communicate this information to affected farmers. The research introduces a data-driven land evaluation approach that contrasts with traditional expert-dependent methods. Using a case study in Burkina Faso, maximum entropy modelling (MaxEnt) is applied to identify suitable land for locally grown crops by integrating crop planting locations from community land use maps—originally produced for compensation assessments—with environmental data. The mining exploration data were successfully combined with publicly available datasets using free and open-source software to generate crop suitability maps that were then tailored for illiterate and semi-literate users. The findings highlight how mining exploration data and spatial technologies can support agricultural planning and aid displaced farmers in securing better agricultural outcomes. The method is transferable to diverse environments and agricultural systems and is particularly suited to mining applications in developing countries where detailed agricultural data is collected during environmental and social impact assessments. This scalable and resource-efficient approach provides a valuable tool for enhancing livelihood restoration of farming communities following mining-induced displacement.
{"title":"Mining-induced displacement and livelihood restoration: A data-driven approach","authors":"Ingrid Ahmer, Bertram Ostendorf","doi":"10.1016/j.resourpol.2025.105515","DOIUrl":"10.1016/j.resourpol.2025.105515","url":null,"abstract":"<div><div>Mining-induced displacement and loss of livelihood assets are extreme social impacts that affect host communities. This research directly addresses the challenges faced by displaced subsistence farmers who must secure alternative agricultural land to rebuild their livelihoods by exploring how the resources of the mining project can be leveraged to help these farmers identify suitable arable land. The study demonstrates how data collected during mining exploration can be repurposed to assess the agricultural potential of nearby land, and effective ways to communicate this information to affected farmers. The research introduces a data-driven land evaluation approach that contrasts with traditional expert-dependent methods. Using a case study in Burkina Faso, maximum entropy modelling (MaxEnt) is applied to identify suitable land for locally grown crops by integrating crop planting locations from community land use maps—originally produced for compensation assessments—with environmental data. The mining exploration data were successfully combined with publicly available datasets using free and open-source software to generate crop suitability maps that were then tailored for illiterate and semi-literate users. The findings highlight how mining exploration data and spatial technologies can support agricultural planning and aid displaced farmers in securing better agricultural outcomes. The method is transferable to diverse environments and agricultural systems and is particularly suited to mining applications in developing countries where detailed agricultural data is collected during environmental and social impact assessments. This scalable and resource-efficient approach provides a valuable tool for enhancing livelihood restoration of farming communities following mining-induced displacement.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105515"},"PeriodicalIF":10.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551690","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}
Pub Date : 2025-03-04DOI: 10.1016/j.resourpol.2025.105526
Anahita Jannesar Niri , Gregory A. Poelzer , Maria Pettersson , Jan Rosenkranz
A global transition from the current “brown economy” to a “green economy” has been perceived as an ineluctable carbon neutrality strategy to deal with climate change and its global devastating impacts. This global ambition of green economy necessitates large-scale electrification which imposes growing demand for lithium-ion batteries as state-of-the-art energy storage technologies. Thereupon, the developing market of batteries reinforces the concern over the resilient and consistent supply of battery raw materials. By the reason of the interdependencies of all the stages involved in a value chain of a battery, it is critical to identify the battery material supply-disruptive risks and uncertainties, and subsequently to analyze the impacts of the perpetuation of the supply issues on the future market of batteries. In this research study, to contribute to these processes necessary for overcoming the ongoing supply sustainability challenges, the focus is on lithium, nickel, graphite, and cobalt, which are among the battery raw materials with high supply risks. After analyzing and categorizing the driving forces behind the historical and current bottlenecks to their mining production, the regional and global mining production of those battery materials have been predicted for twenty years ahead using three time series forecasting techniques including Seasonal Autoregressive Integrated Moving Average, Holt's linear trend, and Holt-Winters’ methods. Forecasting possible future production trends of those battery raw materials is indisputably imperative to resolve planning strategies while dealing with uncertainties and supply risks. Reliable supply forecasting results provide more uncertainty and risk management achievements since the stakeholders and policymakers can use the outcomes as a source of information in the decision-making process at any stage of a lithium-ion battery value chain.
{"title":"Evaluating battery minerals future supply through production predicting in the context of the green energy transition","authors":"Anahita Jannesar Niri , Gregory A. Poelzer , Maria Pettersson , Jan Rosenkranz","doi":"10.1016/j.resourpol.2025.105526","DOIUrl":"10.1016/j.resourpol.2025.105526","url":null,"abstract":"<div><div>A global transition from the current “brown economy” to a “green economy” has been perceived as an ineluctable carbon neutrality strategy to deal with climate change and its global devastating impacts. This global ambition of green economy necessitates large-scale electrification which imposes growing demand for lithium-ion batteries as state-of-the-art energy storage technologies. Thereupon, the developing market of batteries reinforces the concern over the resilient and consistent supply of battery raw materials. By the reason of the interdependencies of all the stages involved in a value chain of a battery, it is critical to identify the battery material supply-disruptive risks and uncertainties, and subsequently to analyze the impacts of the perpetuation of the supply issues on the future market of batteries. In this research study, to contribute to these processes necessary for overcoming the ongoing supply sustainability challenges, the focus is on lithium, nickel, graphite, and cobalt, which are among the battery raw materials with high supply risks. After analyzing and categorizing the driving forces behind the historical and current bottlenecks to their mining production, the regional and global mining production of those battery materials have been predicted for twenty years ahead using three time series forecasting techniques including Seasonal Autoregressive Integrated Moving Average, Holt's linear trend, and Holt-Winters’ methods. Forecasting possible future production trends of those battery raw materials is indisputably imperative to resolve planning strategies while dealing with uncertainties and supply risks. Reliable supply forecasting results provide more uncertainty and risk management achievements since the stakeholders and policymakers can use the outcomes as a source of information in the decision-making process at any stage of a lithium-ion battery value chain.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105526"},"PeriodicalIF":10.2,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551688","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}
China's iron and steel (IS) industry plays an indispensable role in both the Chinese and global economy. Economic vulnerability and resilience are key factors for the sustainable and stable development of China's IS industry. However, COVID-19 has negatively impacted the economic vulnerability and resilience of the IS industry. This paper introduces an open-economy dynamic stochastic general equilibrium (DSGE) model that encompasses the production chain of the IS industry. From the perspective of the production chain, combined with the inoperability input-output model (IIM) and scenario analysis methods, the paper analyzes the economic vulnerability and resilience of China's IS industry under COVID-19's impact. The research findings indicate that the direct economic vulnerability of the iron smelting sector within the IS industry was the highest under the influence of COVID-19, with the most substantial decline in production ranging from 7.7% at a 0.71% incidence rate to 13.04% at a 7% incidence rate. The indirect economic vulnerability of the steel processing sector was most pronounced under the COVID-19's impact, and the decrease in the production of this sector had the most negative impact on total output, ranging from 0.6% at a 0.71% incidence rate to 1.1% at a 7% incidence rate. The steel processing sector exhibits the highest economic resilience within the IS industry. This sector may exhibit a minimum growth rate of 17.9% under a 4% GDP growth rate and the pre-COVID-19 capacity reduction trend. This paper identifies the sectors with the highest economic vulnerability and resilience within China's IS production chain and proposes corresponding policy recommendations, providing a basis for the government and enterprises to formulate development policies for the IS industry.
{"title":"Economic vulnerability and resilience analyses for China's iron and steel industry: Insights from COVID-19","authors":"Haoran Duan , Shiwei Yu , Haopeng Geng , Jinhua Cheng","doi":"10.1016/j.resourpol.2025.105524","DOIUrl":"10.1016/j.resourpol.2025.105524","url":null,"abstract":"<div><div>China's iron and steel (IS) industry plays an indispensable role in both the Chinese and global economy. Economic vulnerability and resilience are key factors for the sustainable and stable development of China's IS industry. However, COVID-19 has negatively impacted the economic vulnerability and resilience of the IS industry. This paper introduces an open-economy dynamic stochastic general equilibrium (DSGE) model that encompasses the production chain of the IS industry. From the perspective of the production chain, combined with the inoperability input-output model (IIM) and scenario analysis methods, the paper analyzes the economic vulnerability and resilience of China's IS industry under COVID-19's impact. The research findings indicate that the direct economic vulnerability of the iron smelting sector within the IS industry was the highest under the influence of COVID-19, with the most substantial decline in production ranging from 7.7% at a 0.71% incidence rate to 13.04% at a 7% incidence rate. The indirect economic vulnerability of the steel processing sector was most pronounced under the COVID-19's impact, and the decrease in the production of this sector had the most negative impact on total output, ranging from 0.6% at a 0.71% incidence rate to 1.1% at a 7% incidence rate. The steel processing sector exhibits the highest economic resilience within the IS industry. This sector may exhibit a minimum growth rate of 17.9% under a 4% GDP growth rate and the pre-COVID-19 capacity reduction trend. This paper identifies the sectors with the highest economic vulnerability and resilience within China's IS production chain and proposes corresponding policy recommendations, providing a basis for the government and enterprises to formulate development policies for the IS industry.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105524"},"PeriodicalIF":10.2,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509556","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}
Pub Date : 2025-02-26DOI: 10.1016/j.resourpol.2025.105520
Aleksandra Kozłowska-Woszczycka, Katarzyna Pactwa, Martyna Konieczna-Fuławka
The transition from coal to a sustainable green economy poses a significant challenge for regions deeply rooted in mining. This research presents the diversity and complexity of socio-economic and environmental issues that characterize these areas. The article analyses the challenges related to the just transition of Polish mining regions and assesses the extent to which the operations planned in the Territorial Just Transition Plans (TJTPs) address them. Based on analyses of the socio-economic and environmental profiles at the NUTS3-level units constituting the mining regions (NUTS - Nomenclature of Territorial Units for Statistics; 3: small regions - for specific diagnoses), it has been shown that recognizing the regional specificity is necessary before starting the closure of mines and transformation processes. The analyses showed that not all challenges have precisely assigned operations, which indicates potential gaps in the transformation strategies. The article also emphasizes the need to develop a more uniform system for monitoring the progress of the transformation, which would better reflect the specificity of local challenges. The current output and result indicators included in the Regulation establishing the Just Transition Fund (JTF) are insufficient to fully assess the complex problems faced by mining regions. It is necessary to introduce tools that will enable a more effective and fair assessment of the actions taken as part of the just transition.
{"title":"From black gold to green goals: The uneven path of just transition in Poland","authors":"Aleksandra Kozłowska-Woszczycka, Katarzyna Pactwa, Martyna Konieczna-Fuławka","doi":"10.1016/j.resourpol.2025.105520","DOIUrl":"10.1016/j.resourpol.2025.105520","url":null,"abstract":"<div><div>The transition from coal to a sustainable green economy poses a significant challenge for regions deeply rooted in mining. This research presents the diversity and complexity of socio-economic and environmental issues that characterize these areas. The article analyses the challenges related to the just transition of Polish mining regions and assesses the extent to which the operations planned in the Territorial Just Transition Plans (TJTPs) address them. Based on analyses of the socio-economic and environmental profiles at the NUTS3-level units constituting the mining regions (NUTS - Nomenclature of Territorial Units for Statistics; 3: small regions - for specific diagnoses<strong>)</strong>, it has been shown that recognizing the regional specificity is necessary before starting the closure of mines and transformation processes. The analyses showed that not all challenges have precisely assigned operations, which indicates potential gaps in the transformation strategies. The article also emphasizes the need to develop a more uniform system for monitoring the progress of the transformation, which would better reflect the specificity of local challenges. The current output and result indicators included in the Regulation establishing the Just Transition Fund <strong>(</strong>JTF) are insufficient to fully assess the complex problems faced by mining regions. It is necessary to introduce tools that will enable a more effective and fair assessment of the actions taken as part of the just transition.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"103 ","pages":"Article 105520"},"PeriodicalIF":10.2,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509554","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}
Pub Date : 2025-02-26DOI: 10.1016/j.resourpol.2025.105516
Thibaut Feix , Emmanuel Hache
This study estimates the cumulative energy demand and global warming potential for 50 metals and 22 non-metallic commodities, incorporating uncertainties through three distinct assessments: low, high, and median, based on the Ecoinvent 3.8 database. The results show that the cumulative energy demand of these commodities represents between 11.3% and 18.2% of global primary energy consumption in 2019, with a median estimate of 13.8%. Similarly, the global warming potential accounts for 13.4%–19.1% of global greenhouse gas (GHG) emissions in the same year, with a median estimate of 17.7%. Iron and steel, aluminum, and cement production emerge as the dominant contributors, responsible for approximately 80% of cumulative energy demand and 90% of GHG emissions across all scenarios. The study also quantifies the potential environmental benefits of enhanced recycling and the accelerated adoption of electric arc furnace technology for steel production in China. These measures can potentially reduce global cumulative energy demand by up to 2.1% and 1.6% respectively and GHG emissions by up to 1.8% and 0.9%. The analysis further examines the energy and climate impacts of mining requirements for a clean energy transition, using IEA's Sustainable Development Scenario. Considering current extraction technologies, the production surplus associated with this scenario could increase global cumulative energy demand by 1.1% and global warming potential by 0.6%. However, these increases would be outweighed by the corresponding reductions in fossil fuel consumption. The paper concludes by discussing the sectors and regions most associated with the environmental burdens of metal and mineral production and highlight key strategies for mitigating these impacts.
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