This study utilizes the Cross-Sectional Fully Modified OLS (CSFMOLS) estimation technique to analyze how advancements in the digital economy and green technological imports impact private investment in renewable energy across 13 newly industrialized countries (NICs) from 2005 to 2020. The findings indicate that a 1% increase in internet users leads to a 0.63% rise in private investment in green projects, attributed to improved access to renewable energy information and enhanced collaboration among stakeholders. Additionally, a 1% increase in imports of wind turbines and solar panels results in a 0.24% boost in private investment. However, a 1% rise in carbon footprints decreases investment by 0.11%, underscoring the negative impact of fossil fuel reliance. Higher income levels encourage private sector engagement, while poverty rates impede it. The study recommends reducing bandwidth costs, leveraging AI for green solutions, and promoting regional trade agreements to foster sustainable development in NICs.
{"title":"Developing green tehcnology and digital economy to cope with resource scarcity","authors":"Jianhua Zhang , Fengxue Yin , Weihua Zhang , Lizhi Wang , Xiaoyan Zhou","doi":"10.1016/j.resourpol.2024.105439","DOIUrl":"10.1016/j.resourpol.2024.105439","url":null,"abstract":"<div><div>This study utilizes the Cross-Sectional Fully Modified OLS (CSFMOLS) estimation technique to analyze how advancements in the digital economy and green technological imports impact private investment in renewable energy across 13 newly industrialized countries (NICs) from 2005 to 2020. The findings indicate that a 1% increase in internet users leads to a 0.63% rise in private investment in green projects, attributed to improved access to renewable energy information and enhanced collaboration among stakeholders. Additionally, a 1% increase in imports of wind turbines and solar panels results in a 0.24% boost in private investment. However, a 1% rise in carbon footprints decreases investment by 0.11%, underscoring the negative impact of fossil fuel reliance. Higher income levels encourage private sector engagement, while poverty rates impede it. The study recommends reducing bandwidth costs, leveraging AI for green solutions, and promoting regional trade agreements to foster sustainable development in NICs.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105439"},"PeriodicalIF":10.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141132","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 : 2025-01-01DOI: 10.1016/j.resourpol.2024.105448
Yomara Ruiz , Nikolay Aguirre , Pablo Ponce , José Álvarez-García
The relationship between public debt and natural resource income is increasingly relevant in the global economy. In many countries, the exploitation of natural resources not only constitutes an essential source of income but can also significantly influence the dynamics of public debt. Therefore, this research examines the relationship between natural resource income and public debt globally and in different groups of countries, classified by income level, from 1995 to 2022. In effect, second-generation econometric techniques were used to control the cross-sectional dependence between the countries examined, where it was found that there is long-term dependence and cointegration in the model variables. Likewise, through quantile regressions, it was found that natural resource income and economic growth reduce public debt, while technology and unemployment increase public debt, and only inequality presents heterogeneous effects in groups of countries; in developed countries, it reduces public debt, and in developing countries, it increases public debt. Finally, this study allows formulating several policy implications for achieving a balanced public debt, underlining the importance of efficient management of revenues from natural resources and strategic investment in sectors that promote sustainable economic growth.
{"title":"Differential impact of natural resource revenues on global public debt: A quantile regression approach","authors":"Yomara Ruiz , Nikolay Aguirre , Pablo Ponce , José Álvarez-García","doi":"10.1016/j.resourpol.2024.105448","DOIUrl":"10.1016/j.resourpol.2024.105448","url":null,"abstract":"<div><div>The relationship between public debt and natural resource income is increasingly relevant in the global economy. In many countries, the exploitation of natural resources not only constitutes an essential source of income but can also significantly influence the dynamics of public debt. Therefore, this research examines the relationship between natural resource income and public debt globally and in different groups of countries, classified by income level, from 1995 to 2022. In effect, second-generation econometric techniques were used to control the cross-sectional dependence between the countries examined, where it was found that there is long-term dependence and cointegration in the model variables. Likewise, through quantile regressions, it was found that natural resource income and economic growth reduce public debt, while technology and unemployment increase public debt, and only inequality presents heterogeneous effects in groups of countries; in developed countries, it reduces public debt, and in developing countries, it increases public debt. Finally, this study allows formulating several policy implications for achieving a balanced public debt, underlining the importance of efficient management of revenues from natural resources and strategic investment in sectors that promote sustainable economic growth.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105448"},"PeriodicalIF":10.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097620","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 : 2025-01-01DOI: 10.1016/j.resourpol.2024.105431
Han Sun , Ziyi Yuan , Xiaoxue Wang , Lu Chen , Zhiyun Zha
Critical minerals have become the focal point of strategic competition among major nations, and ensuring the security of the industrial and supply chain in critical minerals is an essential prerequisite for maintaining resource security and economic development. This study focuses on nickel ore products, selecting eight major participating countries or regions from 2000 to 2021. Based on a whole industrial chain perspective, a Network Data Envelopment Analysis (NDEA) window model is constructed to reveal the inherent mechanisms of risk transmission in the nickel ore industrial and supply chain. The security levels of nickel industrial and supply chains for each country are evaluated from both a holistic and specific level, and the superiority of the model is compared and demonstrated. The results indicate: (1) The security levels of Australia, China, ASEAN, and New Caledonia are relatively high, demonstrating effective resilience against risks, while the security levels of the United States, Brazil, Canada, and Russia are relatively low. (2) Based on the fluctuation trends of security levels, the United States, Australia, Canada, and Russia exhibit irregular fluctuating declining trends, while other countries or regions show relatively stable trends; (3) Through dual-perspective analysis, it is found that upstream vulnerability is relatively weak for consumption powerhouses like the United States and China, but the security levels in the midstream and downstream are relatively high, resulting in weaker fluctuations in security levels caused by upstream risk transmission. On the other hand, resource-rich countries or regions like ASEAN and New Caledonia have weaker midstream and downstream sectors, making them susceptible to the impact of upstream risk transmission, leading to stronger fluctuations in midstream and downstream security levels; (4) Through comparison, it is confirmed that the NDEA window model, relative to traditional methods, better captures the interconnections of various stages in the industrial and supply chain, highlighting its advantages in improving deviations in security level assessments. The results of this study, combined with real-world situations, provide an important reference value for the development of the whole industrial chain of critical minerals in various countries.
{"title":"The security evaluation of nickel industrial and supply chains based on the NDEA window model","authors":"Han Sun , Ziyi Yuan , Xiaoxue Wang , Lu Chen , Zhiyun Zha","doi":"10.1016/j.resourpol.2024.105431","DOIUrl":"10.1016/j.resourpol.2024.105431","url":null,"abstract":"<div><div>Critical minerals have become the focal point of strategic competition among major nations, and ensuring the security of the industrial and supply chain in critical minerals is an essential prerequisite for maintaining resource security and economic development. This study focuses on nickel ore products, selecting eight major participating countries or regions from 2000 to 2021. Based on a whole industrial chain perspective, a Network Data Envelopment Analysis (NDEA) window model is constructed to reveal the inherent mechanisms of risk transmission in the nickel ore industrial and supply chain. The security levels of nickel industrial and supply chains for each country are evaluated from both a holistic and specific level, and the superiority of the model is compared and demonstrated. The results indicate: (1) The security levels of Australia, China, ASEAN, and New Caledonia are relatively high, demonstrating effective resilience against risks, while the security levels of the United States, Brazil, Canada, and Russia are relatively low. (2) Based on the fluctuation trends of security levels, the United States, Australia, Canada, and Russia exhibit irregular fluctuating declining trends, while other countries or regions show relatively stable trends; (3) Through dual-perspective analysis, it is found that upstream vulnerability is relatively weak for consumption powerhouses like the United States and China, but the security levels in the midstream and downstream are relatively high, resulting in weaker fluctuations in security levels caused by upstream risk transmission. On the other hand, resource-rich countries or regions like ASEAN and New Caledonia have weaker midstream and downstream sectors, making them susceptible to the impact of upstream risk transmission, leading to stronger fluctuations in midstream and downstream security levels; (4) Through comparison, it is confirmed that the NDEA window model, relative to traditional methods, better captures the interconnections of various stages in the industrial and supply chain, highlighting its advantages in improving deviations in security level assessments. The results of this study, combined with real-world situations, provide an important reference value for the development of the whole industrial chain of critical minerals in various countries.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105431"},"PeriodicalIF":10.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141133","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 : 2025-01-01DOI: 10.1016/j.resourpol.2024.105428
Ghulam Muhammad Qamri , Sheng Bin , Li Sanchuan , Guo Hui
The study gives a comprehensive overview of the economic, technological, and policy perspectives of the diverse relationship between technological advancement and mineral resource extraction. The data has been taken from 1990 to 2022, which is an important period of economic and technological variations in the BRICS countries. This study highlights a well-defined mining profile of the region and the and social hurdles and environmental cost during the extraction of the mineral resources. It explains the interaction of mineral resource rent and technological advancement interaction, using CADF unit root test and the Pool Mean Group Estimator. The findings clear that advancement and innovation in technology advances the rates of extraction, deteriorating the environmental impact and sustainability. The findings show the need of forthcoming extraction of resources scientifically along with consequences of environmental, and economic social elements. Eventually, the study explains that how technical advancement can enhance the mining extraction methods and provides an insightful information regarding the sustainable natural resources extraction. The study is adding the discussion on sustainable growth, suggesting the theoretical implications for policymakers in the sector and signifying the new directions for future studies.
{"title":"Unveiling Sustainable Mineral Resources Extraction, foreign direct Investment, Technology Advancement nexus: Evidence from BRICS countries","authors":"Ghulam Muhammad Qamri , Sheng Bin , Li Sanchuan , Guo Hui","doi":"10.1016/j.resourpol.2024.105428","DOIUrl":"10.1016/j.resourpol.2024.105428","url":null,"abstract":"<div><div>The study gives a comprehensive overview of the economic, technological, and policy perspectives of the diverse relationship between technological advancement and mineral resource extraction. The data has been taken from 1990 to 2022, which is an important period of economic and technological variations in the BRICS countries. This study highlights a well-defined mining profile of the region and the and social hurdles and environmental cost during the extraction of the mineral resources. It explains the interaction of mineral resource rent and technological advancement interaction, using CADF unit root test and the Pool Mean Group Estimator. The findings clear that advancement and innovation in technology advances the rates of extraction, deteriorating the environmental impact and sustainability. The findings show the need of forthcoming extraction of resources scientifically along with consequences of environmental, and economic social elements. Eventually, the study explains that how technical advancement can enhance the mining extraction methods and provides an insightful information regarding the sustainable natural resources extraction. The study is adding the discussion on sustainable growth, suggesting the theoretical implications for policymakers in the sector and signifying the new directions for future studies.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105428"},"PeriodicalIF":10.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092730","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 : 2025-01-01DOI: 10.1016/j.resourpol.2024.105422
Waqas Amin , Shouhong Xie , Abdul Rauf
The primary goal of this study is to examine the long-term impact of money supply, natural resource use, mineral extraction, industrialization, green energy use, and population density on the ecological footprint (EFP) in 11 high natural resource–based Latin American Global South nations from 1990 to 2021. The study employs Westerlund bootstrap LM, pooled mean group autoregressive distributed lag (PMG-ARDL), and Dumitrescu and Hurlin causality tests. Initially, Westerlund Bootstrap LM statistics reveal significant evidence of cointegration among the variables. Second, the PMG model results show that all regressors except green energy use have a significant positive effect on EFP in the long run, whereas, in the short run, all variables are found to have insignificant impact, excluding green energy use and industrialization. Finally, Dumitrescu and Hurlin tests indicate unidirectional causality of all the regressors with EFP, except mineral extraction and population density. The findings reveal some valuable policy implications for reducing EFP. Initially, central banks must initially limit money supply while altering the interest rate minimally. Over time, central banks must also promote green lending practices in industrial production sectors and charge higher interest on loans to firms that use outdated technology in industrial production. Furthermore, firms engaged in mineral and natural resource extraction must replace old equipment with new technologies that use green energy to curtail pollution emissions.
{"title":"Analyzing the interplay between money supply, mineral extraction, industrialization, and ecological footprint in latin America's global south: A symmetrical perspective","authors":"Waqas Amin , Shouhong Xie , Abdul Rauf","doi":"10.1016/j.resourpol.2024.105422","DOIUrl":"10.1016/j.resourpol.2024.105422","url":null,"abstract":"<div><div>The primary goal of this study is to examine the long-term impact of money supply, natural resource use, mineral extraction, industrialization, green energy use, and population density on the ecological footprint (EFP) in 11 high natural resource–based Latin American Global South nations from 1990 to 2021. The study employs Westerlund bootstrap LM, pooled mean group autoregressive distributed lag (PMG-ARDL), and Dumitrescu and Hurlin causality tests. Initially, Westerlund Bootstrap LM statistics reveal significant evidence of cointegration among the variables. Second, the PMG model results show that all regressors except green energy use have a significant positive effect on EFP in the long run, whereas, in the short run, all variables are found to have insignificant impact, excluding green energy use and industrialization. Finally, Dumitrescu and Hurlin tests indicate unidirectional causality of all the regressors with EFP, except mineral extraction and population density. The findings reveal some valuable policy implications for reducing EFP. Initially, central banks must initially limit money supply while altering the interest rate minimally. Over time, central banks must also promote green lending practices in industrial production sectors and charge higher interest on loans to firms that use outdated technology in industrial production. Furthermore, firms engaged in mineral and natural resource extraction must replace old equipment with new technologies that use green energy to curtail pollution emissions.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105422"},"PeriodicalIF":10.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097623","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 : 2024-12-02DOI: 10.1016/j.resourpol.2024.105413
Usman Ahmad , Ameenullah Aman , Azam Anwer Khan , Syed Emad Azhar Ali
The Netherlands considers focuses on optimal exploitation of mineral resources for achieving long-term Sustainable Development Goals (SDGs). As a result, crowdfunding investment is becoming more recognized as an important method of financing and promoting the United Nations SDGs. However, there has been little research on sustainable crowdfunding, particularly on mineral resource optimization and the impact of behaviour aspects. Therefore, the goal of this study is to determine how behaviour factors influence the subjective well-being of sustainable crowdfunding in mineral resources using fintech in the form of robo advisors to achieve sustainable development goals. This study aims to examine a research model that encompasses the key five personality traits, value on SDGs, subjective well-being, and role of robo-advisor. The findings indicate that two out of five personality traits have the greatest impact on the SDGs. Moreover, the study highlights the impact of agreeableness on SDGs and people's subjective well-being. The findings also emphasizes that the robo-advisor has a strong moderating effect on personality traits and subjective well-being.
{"title":"Optimizing crowdfunding for mineral resources of Dutch economy: The role of fintech in achieving sustainable development goals through artificial intelligence","authors":"Usman Ahmad , Ameenullah Aman , Azam Anwer Khan , Syed Emad Azhar Ali","doi":"10.1016/j.resourpol.2024.105413","DOIUrl":"10.1016/j.resourpol.2024.105413","url":null,"abstract":"<div><div>The Netherlands considers focuses on optimal exploitation of mineral resources for achieving long-term Sustainable Development Goals (SDGs). As a result, crowdfunding investment is becoming more recognized as an important method of financing and promoting the United Nations SDGs. However, there has been little research on sustainable crowdfunding, particularly on mineral resource optimization and the impact of behaviour aspects. Therefore, the goal of this study is to determine how behaviour factors influence the subjective well-being of sustainable crowdfunding in mineral resources using fintech in the form of robo advisors to achieve sustainable development goals. This study aims to examine a research model that encompasses the key five personality traits, value on SDGs, subjective well-being, and role of robo-advisor. The findings indicate that two out of five personality traits have the greatest impact on the SDGs. Moreover, the study highlights the impact of agreeableness on SDGs and people's subjective well-being. The findings also emphasizes that the robo-advisor has a strong moderating effect on personality traits and subjective well-being.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"100 ","pages":"Article 105413"},"PeriodicalIF":10.2,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759284","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 : 2024-12-01DOI: 10.1016/j.resourpol.2024.105426
Mehmet Akif Destek , Mohammad Razib Hossain , Müge Manga , Gamze Destek
The conventional thinking states that pervasive government corruption may turn resource plenty in resource-rich countries into a burden. These issues may surface, particularly when the public sector uses conventional procedures. Based on this, the research looks at how the public sector's digitalization might aid in resolving this issue. Specifically, economic growth, trade openness, economic complexity index, public sector size, and the impacts of digitalization are assessed in relation to their reliance on natural resources for 16 nations that are vulnerable to the “curse of the natural resource” Furthermore, the moderating influence of digitalization on the link between the growth of the public sector and the resource curse is investigated. In this case, the years 1995–2021 are investigated using the CS–ARDL methodology, and the robustness of the results is evaluated using the Moments Quantile Regression method. The CS-ARDL approach's findings indicate that trade openness, public sector size, and economic progress all correlate with increased resource reliance. However, as the economy becomes more complex and digitalized, resource dependency declines. Additionally, it is demonstrated that the interaction term parameter between digitalization and the growth of the public sector is negative, indicating that digitalization within the public sector has the potential to counteract the growing reliance of the sector on resources.
{"title":"Can digital government reduce the resource dependency? Evidence from method of moments quantile technique","authors":"Mehmet Akif Destek , Mohammad Razib Hossain , Müge Manga , Gamze Destek","doi":"10.1016/j.resourpol.2024.105426","DOIUrl":"10.1016/j.resourpol.2024.105426","url":null,"abstract":"<div><div>The conventional thinking states that pervasive government corruption may turn resource plenty in resource-rich countries into a burden. These issues may surface, particularly when the public sector uses conventional procedures. Based on this, the research looks at how the public sector's digitalization might aid in resolving this issue. Specifically, economic growth, trade openness, economic complexity index, public sector size, and the impacts of digitalization are assessed in relation to their reliance on natural resources for 16 nations that are vulnerable to the “curse of the natural resource” Furthermore, the moderating influence of digitalization on the link between the growth of the public sector and the resource curse is investigated. In this case, the years 1995–2021 are investigated using the CS–ARDL methodology, and the robustness of the results is evaluated using the Moments Quantile Regression method. The CS-ARDL approach's findings indicate that trade openness, public sector size, and economic progress all correlate with increased resource reliance. However, as the economy becomes more complex and digitalized, resource dependency declines. Additionally, it is demonstrated that the interaction term parameter between digitalization and the growth of the public sector is negative, indicating that digitalization within the public sector has the potential to counteract the growing reliance of the sector on resources.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105426"},"PeriodicalIF":10.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142742904","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 : 2024-12-01DOI: 10.1016/j.resourpol.2024.105418
Kangho Kim , Jinsoo Kim
This study evaluates the adequacy of copper stockpiles managed by the Korean government and proposes an economically optimal level from a strategic perspective. The Disruption-Risk model, a methodology that aims to maximize the net benefit of stockpiling by considering potential future demand and supply disruptions, was employed in this analysis. The analysis showed that stockpiling an additional 2400 metric tons above Korea's current target is an economically optimal strategy. Moreover, the sensitivity analysis showed that it is a rational decision for the government to engage in stockpiling activities rather than the private sector. It was found that it is essential to continuously increase and maintain stockpiles in line with Korea's evolving policy direction. The findings of this study employ statistical methods based on historical disruption data, which allows for a comparison with the prevailing approach to calculating stockpiles in Korea, which is based on demand assumptions. These findings can serve as a basis for Korea's copper stockpiling policy and can be utilized to enhance resource security in preparation for possible future scenarios.
{"title":"Optimum level of Republic of Korea copper stockpile using disruption risk model","authors":"Kangho Kim , Jinsoo Kim","doi":"10.1016/j.resourpol.2024.105418","DOIUrl":"10.1016/j.resourpol.2024.105418","url":null,"abstract":"<div><div>This study evaluates the adequacy of copper stockpiles managed by the Korean government and proposes an economically optimal level from a strategic perspective. The Disruption-Risk model, a methodology that aims to maximize the net benefit of stockpiling by considering potential future demand and supply disruptions, was employed in this analysis. The analysis showed that stockpiling an additional 2400 metric tons above Korea's current target is an economically optimal strategy. Moreover, the sensitivity analysis showed that it is a rational decision for the government to engage in stockpiling activities rather than the private sector. It was found that it is essential to continuously increase and maintain stockpiles in line with Korea's evolving policy direction. The findings of this study employ statistical methods based on historical disruption data, which allows for a comparison with the prevailing approach to calculating stockpiles in Korea, which is based on demand assumptions. These findings can serve as a basis for Korea's copper stockpiling policy and can be utilized to enhance resource security in preparation for possible future scenarios.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105418"},"PeriodicalIF":10.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142742899","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 : 2024-12-01DOI: 10.1016/j.resourpol.2024.105412
Muhammad Farhan Bashir , Madiha Bashir , Luqman Shahzad
Amidst the efforts to balance economic growth and climate change concerns, natural resource consumption accounts for environmental degradation. The current study deliberates on ecological sustainability by examining how natural resource consumption, digitalization, and institutional governance impact environmental degradation in natural resource-dependent economies. Our econometric findings from CS-ARDL report that natural resource consumption and economic growth lead to environmental deterioration, while digitalization developments and institutional governance safeguard environmental sustainability. Similar findings are endorsed by robustness analysis to help propose novel environmental policy frameworks.
{"title":"Natural resource abundance, digitalization and institutional governance: The critical challenges towards net-zero transformation","authors":"Muhammad Farhan Bashir , Madiha Bashir , Luqman Shahzad","doi":"10.1016/j.resourpol.2024.105412","DOIUrl":"10.1016/j.resourpol.2024.105412","url":null,"abstract":"<div><div>Amidst the efforts to balance economic growth and climate change concerns, natural resource consumption accounts for environmental degradation. The current study deliberates on ecological sustainability by examining how natural resource consumption, digitalization, and institutional governance impact environmental degradation in natural resource-dependent economies. Our econometric findings from CS-ARDL report that natural resource consumption and economic growth lead to environmental deterioration, while digitalization developments and institutional governance safeguard environmental sustainability. Similar findings are endorsed by robustness analysis to help propose novel environmental policy frameworks.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105412"},"PeriodicalIF":10.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142742905","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 : 2024-12-01DOI: 10.1016/j.resourpol.2024.105368
Xiang Yan , Chao Yang , Renfang Zhang
{"title":"Retraction notice to “How does green finance derive the resource efficiency and decarbonization of the economy?” [Resour. Pol. 85 (2023) 103934]","authors":"Xiang Yan , Chao Yang , Renfang Zhang","doi":"10.1016/j.resourpol.2024.105368","DOIUrl":"10.1016/j.resourpol.2024.105368","url":null,"abstract":"","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"99 ","pages":"Article 105368"},"PeriodicalIF":10.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143138070","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}
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