Pub Date : 2024-11-01DOI: 10.1016/j.resourpol.2024.105349
Foudjo Suzie Imelda , Ndikeu Njoya Nabil Aman , Keneck-Massil Joseph
E-government has taken a prominent place in the political and economical debate. Despite the vast non-consensual literature, on the effects of natural resources, very little is known about the effects of these resources on the development of e-government. This study aims to fill this gap by analyzing the effect of natural resources on the development of e-government in a panel of 121 developing countries over the period 2003–2021. Through several empirical approaches, our results show that, on average, natural resource rents negatively affect the development of e-government. Distinguishing between different types of natural resources, we note that the negative effect of natural resources on the development of e-government remains, and the magnitude is more persistent for forestry, gas and oil rents. Furthermore, the mediation analysis suggests that the negative effect of natural resources on the development of e-government is influenced by trust in institutions, the size of the informal sector, corruption, and the quality of telecommunications infrastructures.
{"title":"Do natural resources influence E-government in developing countries? Effects and transmission channels","authors":"Foudjo Suzie Imelda , Ndikeu Njoya Nabil Aman , Keneck-Massil Joseph","doi":"10.1016/j.resourpol.2024.105349","DOIUrl":"10.1016/j.resourpol.2024.105349","url":null,"abstract":"<div><div>E-government has taken a prominent place in the political and economical debate. Despite the vast non-consensual literature, on the effects of natural resources, very little is known about the effects of these resources on the development of e-government. This study aims to fill this gap by analyzing the effect of natural resources on the development of e-government in a panel of 121 developing countries over the period 2003–2021. Through several empirical approaches, our results show that, on average, natural resource rents negatively affect the development of e-government. Distinguishing between different types of natural resources, we note that the negative effect of natural resources on the development of e-government remains, and the magnitude is more persistent for forestry, gas and oil rents. Furthermore, the mediation analysis suggests that the negative effect of natural resources on the development of e-government is influenced by trust in institutions, the size of the informal sector, corruption, and the quality of telecommunications infrastructures.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105349"},"PeriodicalIF":10.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553546","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 : 2024-11-01DOI: 10.1016/j.resourpol.2024.105376
Hao Chen, Wenfeng Zhang, Xiangting Huang, Xin Wang
The intensification of geopolitical conflicts necessitates formulating economically effective coping strategies, which requires scientifically understanding the economic losses caused by oil supply disruptions and their evolutionary patterns. However, current assessment results are mostly static and cover direct losses, which are inadequate to fully support the development of disaster prevention measures. Therefore, considering the interdependence across different sectors, we employed a Dynamic Inoperability Input-Output Model to assess the economic impacts of a 20% disruption in oil imports through the Malacca Strait, lasting for 90 days. The main findings are as follows: (1) 2% of a sector's inoperability caused by oil supply disruption will, on average, be transmitted to other sectors due to their interdependencies. (2) The disruption will result in total economic losses of 62.7 billion yuan for China, and 70% of the total economic losses were incurred within the first 30 days. (3) To cope with the adverse economic impacts of oil transport disruption in the Malacca Strait, the optimal range of China's strategic petroleum reserve is 47.91–169.55 million barrels.
{"title":"Estimating the dynamic economic impacts of oil supply disruptions on China: A case study of Malacca Strait block","authors":"Hao Chen, Wenfeng Zhang, Xiangting Huang, Xin Wang","doi":"10.1016/j.resourpol.2024.105376","DOIUrl":"10.1016/j.resourpol.2024.105376","url":null,"abstract":"<div><div>The intensification of geopolitical conflicts necessitates formulating economically effective coping strategies, which requires scientifically understanding the economic losses caused by oil supply disruptions and their evolutionary patterns. However, current assessment results are mostly static and cover direct losses, which are inadequate to fully support the development of disaster prevention measures. Therefore, considering the interdependence across different sectors, we employed a Dynamic Inoperability Input-Output Model to assess the economic impacts of a 20% disruption in oil imports through the Malacca Strait, lasting for 90 days. The main findings are as follows: (1) 2% of a sector's inoperability caused by oil supply disruption will, on average, be transmitted to other sectors due to their interdependencies. (2) The disruption will result in total economic losses of 62.7 billion yuan for China, and 70% of the total economic losses were incurred within the first 30 days. (3) To cope with the adverse economic impacts of oil transport disruption in the Malacca Strait, the optimal range of China's strategic petroleum reserve is 47.91–169.55 million barrels.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105376"},"PeriodicalIF":10.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553548","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 : 2024-10-31DOI: 10.1016/j.resourpol.2024.105377
Lijun Zeng , Wenjing Du , Jinfeng Wang , Weichen Hong , Jinsuo Zhang
The scientific new urbanization in mineral resource abundant regions (MRARs) in China is not only a guarantee for energy and resource security but also of great significance to realize strong sustainability. However, the new urbanization of MRARs in China is facing a series of difficulties due to the particularity of mineral resources. Therefore, to identify the policy foci of MRARs suitable for different new urbanization paths, this study conducts an evolutionary game analysis to find the urbanization evolution trends of MRARs. First, we established an asymmetric evolutionary game model to study the process of strategy selection between rural and urban residents in MRARs. Second, MATLAB was used to conduct numerical simulation to find the urbanization evolution trends in different types of MRARs. The main findings we obtained are as follows. (1) Environmental carrying capacity has a restrictive effect on the new urbanization in MRARs. (2) Socioeconomic foundations have a fundamental impact on the new urbanization in MRARs. (3) The policy intensity of “people-oriented” has an important influence on the new urbanization in MRARs. (4) Different types of MRARs greatly vary with new urbanization trends. Finally, we proposed some policy recommendations to effectively promote the new urbanization in MRARs.
{"title":"An evolutionary game analysis of new urbanization in mineral resource abundant regions in China","authors":"Lijun Zeng , Wenjing Du , Jinfeng Wang , Weichen Hong , Jinsuo Zhang","doi":"10.1016/j.resourpol.2024.105377","DOIUrl":"10.1016/j.resourpol.2024.105377","url":null,"abstract":"<div><div>The scientific new urbanization in mineral resource abundant regions (MRARs) in China is not only a guarantee for energy and resource security but also of great significance to realize strong sustainability. However, the new urbanization of MRARs in China is facing a series of difficulties due to the particularity of mineral resources. Therefore, to identify the policy foci of MRARs suitable for different new urbanization paths, this study conducts an evolutionary game analysis to find the urbanization evolution trends of MRARs. First, we established an asymmetric evolutionary game model to study the process of strategy selection between rural and urban residents in MRARs. Second, MATLAB was used to conduct numerical simulation to find the urbanization evolution trends in different types of MRARs. The main findings we obtained are as follows. (1) Environmental carrying capacity has a restrictive effect on the new urbanization in MRARs. (2) Socioeconomic foundations have a fundamental impact on the new urbanization in MRARs. (3) The policy intensity of “people-oriented” has an important influence on the new urbanization in MRARs. (4) Different types of MRARs greatly vary with new urbanization trends. Finally, we proposed some policy recommendations to effectively promote the new urbanization in MRARs.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105377"},"PeriodicalIF":10.2,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561277","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 : 2024-10-30DOI: 10.1016/j.resourpol.2024.105378
Jinze Li , Yong Geng , Sijie Liu , Chen Zhong , Wang Gu
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.
{"title":"Uncovering the features of rhodium metabolism in China during 2011–2022","authors":"Jinze Li , Yong Geng , Sijie Liu , Chen Zhong , 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}
Pub Date : 2024-10-30DOI: 10.1016/j.resourpol.2024.105372
Li Jian-fei , Peng Han , Luo Xiao-yu
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.
{"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 , Peng Han , 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}
Pub Date : 2024-10-28DOI: 10.1016/j.resourpol.2024.105374
Hongwei Zhang , Wentao Wang , Zibo Niu
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.
{"title":"Geopolitical risks and crude oil futures volatility: Evidence from machine learning","authors":"Hongwei Zhang , Wentao Wang , 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}
Pub Date : 2024-10-28DOI: 10.1016/j.resourpol.2024.105375
Yan Zhang , Ninghao Sun , Xiangyang Hu , Ruipeng Tong
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.
{"title":"Developing the human reliability analysis model tailored for intelligent coal mining face system","authors":"Yan Zhang , Ninghao Sun , Xiangyang Hu , 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}
Pub Date : 2024-10-25DOI: 10.1016/j.resourpol.2024.105366
Shanming Xu , Li Xu , Ying Liu
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.
{"title":"The effects of global product design on supply chain efficiency and natural resources management","authors":"Shanming Xu , Li Xu , 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}
Pub Date : 2024-10-23DOI: 10.1016/j.resourpol.2024.105370
Henian Zhu , Mengya Chen , Songnian Zhao
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.
{"title":"Natural resource rent, green finance, and CO2 emissions from the industrial sector","authors":"Henian Zhu , Mengya Chen , 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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 CO<sub>2</sub> 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}
Pub Date : 2024-10-22DOI: 10.1016/j.resourpol.2024.105345
Gavin M. Mudd , Tim T. Werner , Zhehan Weng , Jane Thorne
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.
{"title":"A comprehensive inventory of Australia's critical minerals: Simplifying the complexity of critical resources","authors":"Gavin M. Mudd , Tim T. Werner , Zhehan Weng , 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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号