Pub Date : 2024-10-01DOI: 10.1016/j.resourpol.2024.105325
David Brereton , Sharon Flynn , Deanna Kemp
The terms ‘harm’ and ‘harm avoidance’ are increasingly being utilised in the global mining industry, particularly in relation to occupational health and safety. However, avoidance of harm has not been given the same priority when it comes to dealing with the social impacts of mining. Rather, industry discourse has focused more on ‘mitigating adverse impacts’ (which is a broader concept than ‘harm avoidance’) and leveraging positive outcomes or ‘shared value’ for local communities. Companies should be expected to contribute to local level development, but we argue that avoidance of harm to people must always be the foremost social goal. In this article, we offer a working definition of harm, and make the case for viewing harm avoidance as a moral obligation. We also challenge the proposition that, in the case of mining, it may sometimes be acceptable to expose some communities and groups to harm to derive a broader societal benefit. The evidence that people can be harmed by mining is indisputable. We argue that a priority for the global mining industry should be to ensure that practices that cause harm are no longer tolerated or considered an unavoidable cost of development.
{"title":"An essay on mining and the moral obligation not to harm others","authors":"David Brereton , Sharon Flynn , Deanna Kemp","doi":"10.1016/j.resourpol.2024.105325","DOIUrl":"10.1016/j.resourpol.2024.105325","url":null,"abstract":"<div><div>The terms ‘harm’ and ‘harm avoidance’ are increasingly being utilised in the global mining industry, particularly in relation to occupational health and safety. However, avoidance of harm has not been given the same priority when it comes to dealing with the social impacts of mining. Rather, industry discourse has focused more on ‘mitigating adverse impacts’ (which is a broader concept than ‘harm avoidance’) and leveraging positive outcomes or ‘shared value’ for local communities. Companies should be expected to contribute to local level development, but we argue that avoidance of harm to people must always be the foremost social goal. In this article, we offer a working definition of harm, and make the case for viewing harm avoidance as a moral obligation. We also challenge the proposition that, in the case of mining, it may sometimes be acceptable to expose some communities and groups to harm to derive a broader societal benefit. The evidence that people can be harmed by mining is indisputable. We argue that a priority for the global mining industry should be to ensure that practices that cause harm are no longer tolerated or considered an unavoidable cost of development.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105325"},"PeriodicalIF":10.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142423053","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 : 2024-09-28DOI: 10.1016/j.resourpol.2024.105347
Tian Tian , Bo Nie , Xinran Zhang , Xinqian Li , Xiantai Hong
This study examines the effect of private investment in the mining sector on social sustainability across nine ASEAN countries from 2005 to 2021 using the CS-ARDL panel data approach. The results indicate a negative relationship between private mining investment and social sustainability, with reductions of 0.15% in the short term and 0.59% in the long term, due to environmental degradation, income inequality, and economic volatility. A 1% increase in rural GDP also leads to declines in social sustainability by 0.03% and 0.17% in the short and long term, respectively, underscoring the need for eco-friendly economic activities. Additionally, inflation reduces social sustainability, while rural internet access significantly improves it. To encourage sustainable investment, policies should focus on green finance, sustainable literacy, risk mitigation, and rural economic growth aligned with sustainable development principles.
{"title":"Analyzing the socially sustainable impacts of private investments in the mining sector in rural areas","authors":"Tian Tian , Bo Nie , Xinran Zhang , Xinqian Li , Xiantai Hong","doi":"10.1016/j.resourpol.2024.105347","DOIUrl":"10.1016/j.resourpol.2024.105347","url":null,"abstract":"<div><div>This study examines the effect of private investment in the mining sector on social sustainability across nine ASEAN countries from 2005 to 2021 using the CS-ARDL panel data approach. The results indicate a negative relationship between private mining investment and social sustainability, with reductions of 0.15% in the short term and 0.59% in the long term, due to environmental degradation, income inequality, and economic volatility. A 1% increase in rural GDP also leads to declines in social sustainability by 0.03% and 0.17% in the short and long term, respectively, underscoring the need for eco-friendly economic activities. Additionally, inflation reduces social sustainability, while rural internet access significantly improves it. To encourage sustainable investment, policies should focus on green finance, sustainable literacy, risk mitigation, and rural economic growth aligned with sustainable development principles.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105347"},"PeriodicalIF":10.2,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358190","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 : 2024-09-27DOI: 10.1016/j.resourpol.2024.105337
Amar Rao , Dhairya Dev , Aeshna Kharbanda , Jaya Singh Parihar , Dariusz Sala
This paper aims to evaluate the volatility of precious metals, specifically Palladium, Gold, and Platinum, within the context of the global minerals market. The research focuses on understanding the price dynamics of these metals and their implications for sustainable development, particularly in the Global South. The study employs a comprehensive approach, utilizing advanced machine learning and deep learning models such as GRU, Huber, Lasso, LSTM, Random Forest, Ridge Regression, SVM, ANN, and XGBoost. These models are assessed based on their forecasting accuracy for different time horizons, using metrics such as RMSE and MAPE. The findings reveal that the ANN, XGBoost, and LSTM models exhibit robust performance in forecasting the volatility of precious metals across various time horizons. The research highlights the unique volatility patterns of each metal and underscores the effectiveness of machine learning techniques in capturing these dynamics. The study acknowledges limitations such as the exclusion of macroeconomic and geopolitical factors in the forecasting models. Future research is suggested to integrate these factors to enhance forecasting accuracy. The study's findings are pivotal for investors, policymakers, and market regulators, especially in the context of the Global South and sustainable development. The research offers valuable insights for risk management strategies, investment planning, and policy formulation aimed at promoting market stability and sustainable economic growth. The study emphasizes the importance of selecting appropriate forecasting models based on specific time horizons and market requirements.
{"title":"Mineral policy and sustainable development goals: Volatility forecasting in the Global South's minerals market","authors":"Amar Rao , Dhairya Dev , Aeshna Kharbanda , Jaya Singh Parihar , Dariusz Sala","doi":"10.1016/j.resourpol.2024.105337","DOIUrl":"10.1016/j.resourpol.2024.105337","url":null,"abstract":"<div><div>This paper aims to evaluate the volatility of precious metals, specifically Palladium, Gold, and Platinum, within the context of the global minerals market. The research focuses on understanding the price dynamics of these metals and their implications for sustainable development, particularly in the Global South. The study employs a comprehensive approach, utilizing advanced machine learning and deep learning models such as GRU, Huber, Lasso, LSTM, Random Forest, Ridge Regression, SVM, ANN, and XGBoost. These models are assessed based on their forecasting accuracy for different time horizons, using metrics such as RMSE and MAPE. The findings reveal that the ANN, XGBoost, and LSTM models exhibit robust performance in forecasting the volatility of precious metals across various time horizons. The research highlights the unique volatility patterns of each metal and underscores the effectiveness of machine learning techniques in capturing these dynamics. The study acknowledges limitations such as the exclusion of macroeconomic and geopolitical factors in the forecasting models. Future research is suggested to integrate these factors to enhance forecasting accuracy. The study's findings are pivotal for investors, policymakers, and market regulators, especially in the context of the Global South and sustainable development. The research offers valuable insights for risk management strategies, investment planning, and policy formulation aimed at promoting market stability and sustainable economic growth. The study emphasizes the importance of selecting appropriate forecasting models based on specific time horizons and market requirements.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105337"},"PeriodicalIF":10.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324047","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 : 2024-09-26DOI: 10.1016/j.resourpol.2024.105335
Ruoyao Du
The sustainability of the transportation sector, particularly through the growth of the EV market, has become a critical issue for mineral-rich economies due to the role of key minerals like lithium in EV batteries. This study assesses how expanding lithium production affects the EV market in the top 10 EV markets from 2010 to 2022. Results show a 1% increase in lithium production is linked to a 0.58% rise in EV sales, driven by improved battery supply stability and lower costs. Technological advances in lithium-ion batteries boost efficiency and address range concerns. Additionally, a 1% increase in renewable energy generation leads to a 0.25% rise in EV sales, driven by a preference for eco-friendly transport. However, patent innovation has minimal immediate impact on EV sales, and urbanization negatively affects them due to congestion. Recommended policies include competitive tenders, green procurement, purchase subsidies, and green finance to enhance mineral markets and sustainable transportation.
{"title":"Assessment of impacts of critical mineral resources on sustainable transport sector","authors":"Ruoyao Du","doi":"10.1016/j.resourpol.2024.105335","DOIUrl":"10.1016/j.resourpol.2024.105335","url":null,"abstract":"<div><div>The sustainability of the transportation sector, particularly through the growth of the EV market, has become a critical issue for mineral-rich economies due to the role of key minerals like lithium in EV batteries. This study assesses how expanding lithium production affects the EV market in the top 10 EV markets from 2010 to 2022. Results show a 1% increase in lithium production is linked to a 0.58% rise in EV sales, driven by improved battery supply stability and lower costs. Technological advances in lithium-ion batteries boost efficiency and address range concerns. Additionally, a 1% increase in renewable energy generation leads to a 0.25% rise in EV sales, driven by a preference for eco-friendly transport. However, patent innovation has minimal immediate impact on EV sales, and urbanization negatively affects them due to congestion. Recommended policies include competitive tenders, green procurement, purchase subsidies, and green finance to enhance mineral markets and sustainable transportation.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105335"},"PeriodicalIF":10.2,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324046","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 : 2024-09-26DOI: 10.1016/j.resourpol.2024.105342
Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo
This research aimed to provide a comprehensive mapping of studies on the application of the Hotelling rule in non-renewable resources from 1970 to 2024, identifying the most prominent research topics and trends, key characteristics, evolution, and directions for future studies. To achieve this, the following research questions were addressed using a mixed-method approach, including bibliometric analysis, text mining, and content analysis: (i) How has research on the Hotelling rule in non-renewable resources evolved? (ii) What are the most relevant research topics and trends in Hotelling rule research? and (iii) What future directions should studies on the Hotelling rule in non-renewable resources pursue? A total of 197 journal articles extracted from the Scopus database were analyzed to map the main body of literature. Four main research clusters were identified: (1) theoretical and empirical perspectives on the Hotelling rule, (2) the Hotelling rule in non-renewable resource management, (3) economic policy and sustainability within the Hotelling framework, and (4) resource depletion and pricing under the Hotelling rule. Four key areas for future research were proposed, focusing on diversification to other non-renewable resources, evaluation of policies and geographical contexts, technological innovations and government policies, and sector-specific applications of the Hotelling rule. These directions are crucial for promoting sustainability in the management of non-renewable resources over time.
{"title":"Hotelling rule in non-renewable resources: A bibliometric and systematic literature review analysis","authors":"Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo","doi":"10.1016/j.resourpol.2024.105342","DOIUrl":"10.1016/j.resourpol.2024.105342","url":null,"abstract":"<div><div>This research aimed to provide a comprehensive mapping of studies on the application of the Hotelling rule in non-renewable resources from 1970 to 2024, identifying the most prominent research topics and trends, key characteristics, evolution, and directions for future studies. To achieve this, the following research questions were addressed using a mixed-method approach, including bibliometric analysis, text mining, and content analysis: (i) How has research on the Hotelling rule in non-renewable resources evolved? (ii) What are the most relevant research topics and trends in Hotelling rule research? and (iii) What future directions should studies on the Hotelling rule in non-renewable resources pursue? A total of 197 journal articles extracted from the Scopus database were analyzed to map the main body of literature. Four main research clusters were identified: (1) theoretical and empirical perspectives on the Hotelling rule, (2) the Hotelling rule in non-renewable resource management, (3) economic policy and sustainability within the Hotelling framework, and (4) resource depletion and pricing under the Hotelling rule. Four key areas for future research were proposed, focusing on diversification to other non-renewable resources, evaluation of policies and geographical contexts, technological innovations and government policies, and sector-specific applications of the Hotelling rule. These directions are crucial for promoting sustainability in the management of non-renewable resources over time.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105342"},"PeriodicalIF":10.2,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324049","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 : 2024-09-26DOI: 10.1016/j.resourpol.2024.105333
Buhari Doğan , Lan Khanh Chu , Rabeh Khalfaoui , Sudeshna Ghosh , Muhammad Shahbaz
The stupendous increase in environmental pollutants alongside climate alterations are calling for integrated tasks at the global level to meet the Paris Agreements. Energy conversion from fossil fuel to renewable energy sources is an important step to address the adverse effects of extreme climatic conditions. This study explores the key contributors of energy transition in the context of the OECD countries during the period 1991 to 2019. To this end the major determinants chosen include natural resources rents, policy uncertainty, environmental technologies, environmental policies, income and globalization. The quantile regression technique is used to explore heterogeneous role of the contributory factors of energy transition across its different levels. This study applies method of moments quantile regression (hereafter MM-QR) by Machado and Silva (2019) that provides evidence on how the covariates affect the integral conditional distributions of energy transition. The study documents interesting findings. (i) Natural resources rents reduce the pace of the progress of sustainable energy transition in OECD economies. (ii) An escalation in the world uncertainty index leads to an improvement in energy transition index. (iii) Environmental technologies support the transition concerning cleaner and more efficient energy sources. (iv) Finally, as natural resources, uncertainty, environmental technologies, and globalization impacts energy transition differently, their effects need to be rationalized with varying environmental policy instruments. The study concludes that energy transition process requires the task of upgrading the quality of implementation of policies related to energy technology.
{"title":"Strategy towards sustainable energy transition: The effect of policy uncertainty, environmental technology and natural resources rent in the OECD nations","authors":"Buhari Doğan , Lan Khanh Chu , Rabeh Khalfaoui , Sudeshna Ghosh , Muhammad Shahbaz","doi":"10.1016/j.resourpol.2024.105333","DOIUrl":"10.1016/j.resourpol.2024.105333","url":null,"abstract":"<div><div>The stupendous increase in environmental pollutants alongside climate alterations are calling for integrated tasks at the global level to meet the Paris Agreements. Energy conversion from fossil fuel to renewable energy sources is an important step to address the adverse effects of extreme climatic conditions. This study explores the key contributors of energy transition in the context of the OECD countries during the period 1991 to 2019. To this end the major determinants chosen include natural resources rents, policy uncertainty, environmental technologies, environmental policies, income and globalization. The quantile regression technique is used to explore heterogeneous role of the contributory factors of energy transition across its different levels. This study applies method of moments quantile regression (hereafter MM-QR) by Machado and Silva (2019) that provides evidence on how the covariates affect the integral conditional distributions of energy transition. The study documents interesting findings. (i) Natural resources rents reduce the pace of the progress of sustainable energy transition in OECD economies. (ii) An escalation in the world uncertainty index leads to an improvement in energy transition index. (iii) Environmental technologies support the transition concerning cleaner and more efficient energy sources. (iv) Finally, as natural resources, uncertainty, environmental technologies, and globalization impacts energy transition differently, their effects need to be rationalized with varying environmental policy instruments. The study concludes that energy transition process requires the task of upgrading the quality of implementation of policies related to energy technology.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105333"},"PeriodicalIF":10.2,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324048","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 : 2024-09-24DOI: 10.1016/j.resourpol.2024.105308
Hongying Sun, Xingyu Wu, Xiaolei Wang, Jia Liu, Guanyuan He
This study examines the consumption of nickel resources in China from 2004 to 2022 and utilizes data from the International Energy Agency as a foundation to predict future consumption and End-of-life (EoL) nickel recycling volumes by a novel dynamic material flow analysis (D-MFA) model. Distinguished from the preceding MFA studies, we highlight the future nickel stocks and flows, and the logistic function as well as linear step-length method are applied to assess EoL nickel recycling under five different demand scenarios and recycling assumptions. The findings show that the share of EoL nickel secondary supply currently stands at 27% of overall nickel demand. In addition, the nickel demand curve under different recycling conditions also reveals a projected gap of approximately 4.4 million tons between nickel supply and demand until 2050. The empirical results demonstrate a significant growth of nickel demand in the new energy battery industry, while nickel consumption in the stainless steel is tending towards saturation. Moreover, although the recycling rate of nickel is expected to keep rising, the consumption of nickel remains significantly higher than the recycling volume, entailing a long-term dependence on imported nickel.
{"title":"End-of-life nickel recycling: Energy security and circular economy development","authors":"Hongying Sun, Xingyu Wu, Xiaolei Wang, Jia Liu, Guanyuan He","doi":"10.1016/j.resourpol.2024.105308","DOIUrl":"10.1016/j.resourpol.2024.105308","url":null,"abstract":"<div><div>This study examines the consumption of nickel resources in China from 2004 to 2022 and utilizes data from the International Energy Agency as a foundation to predict future consumption and End-of-life (EoL) nickel recycling volumes by a novel dynamic material flow analysis (D-MFA) model. Distinguished from the preceding MFA studies, we highlight the future nickel stocks and flows, and the logistic function as well as linear step-length method are applied to assess EoL nickel recycling under five different demand scenarios and recycling assumptions. The findings show that the share of EoL nickel secondary supply currently stands at 27% of overall nickel demand. In addition, the nickel demand curve under different recycling conditions also reveals a projected gap of approximately 4.4 million tons between nickel supply and demand until 2050. The empirical results demonstrate a significant growth of nickel demand in the new energy battery industry, while nickel consumption in the stainless steel is tending towards saturation. Moreover, although the recycling rate of nickel is expected to keep rising, the consumption of nickel remains significantly higher than the recycling volume, entailing a long-term dependence on imported nickel.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105308"},"PeriodicalIF":10.2,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314143","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 : 2024-09-23DOI: 10.1016/j.resourpol.2024.105311
Jinhua Liang , Inam Ullah
The recent COVID-19 pandemic has prompted researchers to examine the association between gold and oil prices during different crises. In this regard, four crises have been evaluated: the gold market crash, the European sovereign debt crisis, the global financial crisis, and the COVID-19 pandemic. This paper uses the nonlinear autoregressive distributed lag approach to discover five new insights utilizing daily data from July 2006 to September 2022. This research supports the prevailing view in the literature, which suggests a positive correlation between oil and gold prices. We also discover no long-term correlation exists between gold and oil prices throughout all crises. Moreover, the oil-gold price relationship does not work during all times of crises and has lost much of its former predictive potential. A short-term change in the price of gold is caused by a change in the price of Brent or West Texas Intermediate when both prices fall. To conclude, there was no correlation between Brent and gold prices before COVID-19. Investors have been drawn to gold because of the uncertainty caused by COVID-19 and that gold's price is now less volatile relative to oil prices than in the past. Our primary results are robust to alternative co-integration/integration model specifications, the integration lag, and the heteroskedasticity of the standard errors.
{"title":"Analysis of crude oil and gold price volatility and their correlation during socio-economic crises","authors":"Jinhua Liang , Inam Ullah","doi":"10.1016/j.resourpol.2024.105311","DOIUrl":"10.1016/j.resourpol.2024.105311","url":null,"abstract":"<div><div>The recent COVID-19 pandemic has prompted researchers to examine the association between gold and oil prices during different crises. In this regard, four crises have been evaluated: the gold market crash, the European sovereign debt crisis, the global financial crisis, and the COVID-19 pandemic. This paper uses the nonlinear autoregressive distributed lag approach to discover five new insights utilizing daily data from July 2006 to September 2022. This research supports the prevailing view in the literature, which suggests a positive correlation between oil and gold prices. We also discover no long-term correlation exists between gold and oil prices throughout all crises. Moreover, the oil-gold price relationship does not work during all times of crises and has lost much of its former predictive potential. A short-term change in the price of gold is caused by a change in the price of Brent or West Texas Intermediate when both prices fall. To conclude, there was no correlation between Brent and gold prices before COVID-19. Investors have been drawn to gold because of the uncertainty caused by COVID-19 and that gold's price is now less volatile relative to oil prices than in the past. Our primary results are robust to alternative co-integration/integration model specifications, the integration lag, and the heteroskedasticity of the standard errors.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105311"},"PeriodicalIF":10.2,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310891","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 : 2024-09-22DOI: 10.1016/j.resourpol.2024.105327
Issah Baddianaah
In recent years, women's involvement in informal artisanal and small-scale mining (ASM) activities in sub-Saharan African countries have surged. While many studies have attributed the increased involvement of women in ASM to the rising economic hardship in rural landscapes, a deeper interrogation of the socioeconomic and sociocultural drivers of the surge in women in ASM remains underexplored. This study inquires as follows: has women's increased participation in ASM anything to do with socioeconomic factors, or sociocultural factors, or to both? The study draws on a qualitive case study research design involving in-depth interviews with 67 women miners in northern Ghana, one of the emerging ASM hotspots. It answers the question by analyzing (1) the socioeconomic drivers of women's participation in ASM, and (2) the sociocultural drivers of women's participation in ASM. This helps in identifying the contextual constraints to women's participation in ASM in Ghana and other regions in sub-Saharan Africa. Findings show that the socioeconomic drivers of women's participation in ASM are unemployment, increasing household needs, climate change effect on agriculture, and the quest to acquire physical assets. A key contribution of the study relates to how the local communities' sub-culture, social recognition for women who made it in ASM and marital challenges drive women's participation in ASM. Participation in ASM inures to women's empowerment in the long-run provided the sociocultural, financial, and technological barriers facing women miners are addressed. The findings underscore the urgent need for a robust policy on gender mainstreaming and the creation of a gender-sensitive mining environment alongside formalization of ASM activities in developing countries.
{"title":"“If you don't go to site, they call you a lazy person”: Drivers of women's participation in artisanal and small-scale mining: The case of rural northern Ghana","authors":"Issah Baddianaah","doi":"10.1016/j.resourpol.2024.105327","DOIUrl":"10.1016/j.resourpol.2024.105327","url":null,"abstract":"<div><div>In recent years, women's involvement in informal artisanal and small-scale mining (ASM) activities in sub-Saharan African countries have surged. While many studies have attributed the increased involvement of women in ASM to the rising economic hardship in rural landscapes, a deeper interrogation of the socioeconomic and sociocultural drivers of the surge in women in ASM remains underexplored. This study inquires as follows: has women's increased participation in ASM anything to do with socioeconomic factors, or sociocultural factors, or to both? The study draws on a qualitive case study research design involving in-depth interviews with 67 women miners in northern Ghana, one of the emerging ASM hotspots. It answers the question by analyzing (1) the socioeconomic drivers of women's participation in ASM, and (2) the sociocultural drivers of women's participation in ASM. This helps in identifying the contextual constraints to women's participation in ASM in Ghana and other regions in sub-Saharan Africa. Findings show that the socioeconomic drivers of women's participation in ASM are unemployment, increasing household needs, climate change effect on agriculture, and the quest to acquire physical assets. A key contribution of the study relates to how the local communities' sub-culture, social recognition for women who made it in ASM and marital challenges drive women's participation in ASM. Participation in ASM inures to women's empowerment in the long-run provided the sociocultural, financial, and technological barriers facing women miners are addressed. The findings underscore the urgent need for a robust policy on gender mainstreaming and the creation of a gender-sensitive mining environment alongside formalization of ASM activities in developing countries.</div></div>","PeriodicalId":20970,"journal":{"name":"Resources Policy","volume":"98 ","pages":"Article 105327"},"PeriodicalIF":10.2,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310890","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 : 2024-09-22DOI: 10.1016/j.resourpol.2024.105322
Chien-Chiang Lee , Chengnan Xuan , Fuhao Wang
Based on the panel data of 90 resource-based cities in China from 2011 to 2019, the study examines the impact of resource dependence on green economic growth, the transmission mechanism, and then analyzes the regulatory role played by artificial intelligence (AI). The benchmark results robustly show that resource dependence leads to the resource curse for green economic growth. Mechanism analysis shows that resource dependence inhibits the growth of the green economy by crowding out the private economy and human capital. At the same time, artificial intelligence will exacerbate the resource curse, especially in mature, environmentally regulated, fast-transitioning, resource-based cities in the East. Further research has shown that when the level of artificial intelligence exceeds a certain threshold, it alleviates the local resource curse. Our research not only explores a new perspective on the development of AI applications, but also provides precious recommendations for government departments to break the resource curse and achieve sustainable development.
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