Amidst the ongoing low‐carbon transition, the phenomenon of population aging is receiving increasing attention. Nevertheless, the relationship between population aging and environmental quality has not been conclusively established, and existing studies have yet to delve into the mechanism of the effect of population aging on energy and environmental quality. This paper utilizes the panel data of 30 Chinese provinces and regions from 2000 to 2019 and constructs the benchmark model, the nonlinear mediating effect, and the nonlinear moderating effect models to explore the nonlinear association between population aging and energy footprint, respectively. Additionally, we develop a comprehensive aging index employing principal component analysis (PCA) and measure the energy footprint by carbon sink approach. The results show that population aging has a nonlinear effect on the energy footprint with an inverted “U” shape and there is an inflection point on the curve of value 0.453. We also verify that population aging indirectly affects the energy footprint through its nonlinear impact on labor productivity, with an instantaneous mediating effect of 3.0902. Furthermore, the high‐quality economic development has a nonlinear moderating impact on the inverted “U”‐shape between population aging and energy footprint. As the level of high‐quality economic development increases, the shape of the inverted “U” curve flattens out, and the inflection point shifts to the left. Among the five sub‐indicators of high‐quality economic development, green development has the most significant effect on the inverted “U” curve of population aging and energy footprint. These noteworthy findings offer valuable insights for formulating effective strategies to enhance the favorable effects of aging on environmental quality from multifaceted perspectives.
{"title":"Assessing the nonlinear impact of population aging on energy footprint: From the perspective of labor productivity and high‐quality economic development","authors":"Xiyue Yang, Shixiong Cheng, Mahmood Ahmad","doi":"10.1111/1477-8947.12531","DOIUrl":"https://doi.org/10.1111/1477-8947.12531","url":null,"abstract":"Amidst the ongoing low‐carbon transition, the phenomenon of population aging is receiving increasing attention. Nevertheless, the relationship between population aging and environmental quality has not been conclusively established, and existing studies have yet to delve into the mechanism of the effect of population aging on energy and environmental quality. This paper utilizes the panel data of 30 Chinese provinces and regions from 2000 to 2019 and constructs the benchmark model, the nonlinear mediating effect, and the nonlinear moderating effect models to explore the nonlinear association between population aging and energy footprint, respectively. Additionally, we develop a comprehensive aging index employing principal component analysis (PCA) and measure the energy footprint by carbon sink approach. The results show that population aging has a nonlinear effect on the energy footprint with an inverted “U” shape and there is an inflection point on the curve of value 0.453. We also verify that population aging indirectly affects the energy footprint through its nonlinear impact on labor productivity, with an instantaneous mediating effect of 3.0902. Furthermore, the high‐quality economic development has a nonlinear moderating impact on the inverted “U”‐shape between population aging and energy footprint. As the level of high‐quality economic development increases, the shape of the inverted “U” curve flattens out, and the inflection point shifts to the left. Among the five sub‐indicators of high‐quality economic development, green development has the most significant effect on the inverted “U” curve of population aging and energy footprint. These noteworthy findings offer valuable insights for formulating effective strategies to enhance the favorable effects of aging on environmental quality from multifaceted perspectives.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"54 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study constructs an economic growth model that includes natural resource endowments to theoretically explore the paradox of “resource gospel” and “resource curse.” Based on the theoretical analysis, the influence of natural resources on green total factor productivity is analyzed empirically through an econometric model using Chinese urban panel data from 2010 to 2019. The theoretical analysis shows that the impact of natural resource endowment on green total factor productivity is indecisive. The empirical results show that natural resource endowments significantly lessen urban green total factor efficiency, and the results remain robust after addressing for endogeneity issues and robustness tests. However, this effect is significantly heterogeneous depending on the city level and science and education level; for example, the “resource curse” effect is more pronounced in non‐central cities and cities with average education and science level. Simultaneously, the mechanism analysis shows that natural resource endowment reduces urban total factor productivity by inhibiting innovation and introducing choices in the technological progress approach. Therefore, the research findings bring empirical evidence to promote reforms in natural resource allocation and provide theoretical support for encouraging green total factor productivity in resource‐based cities.
{"title":"Natural resource endowment and urban green total factor productivity: “Resource gospel” or “resource curse”?","authors":"Shubo Yang, Atif Jahanger, Muhammad Usman","doi":"10.1111/1477-8947.12529","DOIUrl":"https://doi.org/10.1111/1477-8947.12529","url":null,"abstract":"This study constructs an economic growth model that includes natural resource endowments to theoretically explore the paradox of “resource gospel” and “resource curse.” Based on the theoretical analysis, the influence of natural resources on green total factor productivity is analyzed empirically through an econometric model using Chinese urban panel data from 2010 to 2019. The theoretical analysis shows that the impact of natural resource endowment on green total factor productivity is indecisive. The empirical results show that natural resource endowments significantly lessen urban green total factor efficiency, and the results remain robust after addressing for endogeneity issues and robustness tests. However, this effect is significantly heterogeneous depending on the city level and science and education level; for example, the “resource curse” effect is more pronounced in non‐central cities and cities with average education and science level. Simultaneously, the mechanism analysis shows that natural resource endowment reduces urban total factor productivity by inhibiting innovation and introducing choices in the technological progress approach. Therefore, the research findings bring empirical evidence to promote reforms in natural resource allocation and provide theoretical support for encouraging green total factor productivity in resource‐based cities.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"365 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiuying Chen, Shoukat Iqbal Khattak, Manzoor Ahmad
Hybrid electric vehicles are increasingly recognized as a promising solution for reducing carbon dioxide emissions in the transportation sector. The current study examines the nexus between innovation in hybrid electric vehicle‐related technologies and transportation sector‐based carbon dioxide emissions from 1990 to 2019 using a variety of econometric techniques such as the structural breaks unit root test, Maki cointegration test, fully modified ordinary least squares, and dynamic ordinary least squares. The results show that innovation in hybrid electric vehicle‐related technologies, renewable energy consumption, information and communication technologies, and international collaboration in technology development could help reduce transportation sector‐based carbon emissions levels. By contrast, the findings indicate that gross domestic product, trade openness, and financial development have a positive nexus with transportation sector‐based carbon emissions. Higher trade openness encourages economic expansion, and foreign trade may lead to more manufacturing, shipping, and transportation sector‐based carbon emissions. Similarly, when gross domestic product and financial development rise, the need for highly energy‐intensive items and services increases transportation sector‐based carbon emissions. To minimize Japan's transportation sector‐based carbon emissions, governments should emphasize innovation and adoption of hybrid electric vehicle‐related technologies, boost renewable energy consumption, and prohibit emissions‐intensive imports and exports.
{"title":"Impact of innovation in hybrid electric vehicles‐related technologies on carbon dioxide emissions from the transport sector in Japan","authors":"Qiuying Chen, Shoukat Iqbal Khattak, Manzoor Ahmad","doi":"10.1111/1477-8947.12523","DOIUrl":"https://doi.org/10.1111/1477-8947.12523","url":null,"abstract":"Hybrid electric vehicles are increasingly recognized as a promising solution for reducing carbon dioxide emissions in the transportation sector. The current study examines the nexus between innovation in hybrid electric vehicle‐related technologies and transportation sector‐based carbon dioxide emissions from 1990 to 2019 using a variety of econometric techniques such as the structural breaks unit root test, Maki cointegration test, fully modified ordinary least squares, and dynamic ordinary least squares. The results show that innovation in hybrid electric vehicle‐related technologies, renewable energy consumption, information and communication technologies, and international collaboration in technology development could help reduce transportation sector‐based carbon emissions levels. By contrast, the findings indicate that gross domestic product, trade openness, and financial development have a positive nexus with transportation sector‐based carbon emissions. Higher trade openness encourages economic expansion, and foreign trade may lead to more manufacturing, shipping, and transportation sector‐based carbon emissions. Similarly, when gross domestic product and financial development rise, the need for highly energy‐intensive items and services increases transportation sector‐based carbon emissions. To minimize Japan's transportation sector‐based carbon emissions, governments should emphasize innovation and adoption of hybrid electric vehicle‐related technologies, boost renewable energy consumption, and prohibit emissions‐intensive imports and exports.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"14 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Water constitutes an important natural and strategic resource, crucial to sustainable development, as well as the social stability and wellbeing of every economy. The coordinated development of water resource utilisation and economic growth is currently the focus of attention of social scientists and other representatives of the scholarly community, being one of the key factors for the long‐term development of a country. Based on theories of sustainable development and water resource utilisation, this paper examines the ‘quantity’ and ‘quality’ of water resource utilisation in 19 provinces, municipalities directly under the Central Government, and autonomous regions in the Yangtze River basin from 2006 to 2021, and explores the internal interaction mechanism. First, the decoupling model is used to explore the decoupling relationship between water resource use and economic growth in the Yangtze River Basin, and the LMDI additive index model is used to analyse the corresponding four driving factors. After discovering the interaction between the ‘quantity’ of water resources and economic growth, the ‘quality’ of water resources in the Yangtze River basin was explored, and after measuring the utilisation rate of water resources in the Yangtze River basin, the Tobit model was applied to introduce the explanatory and control variables to deeply analyse the influencing factors of water resources, and the two regulating variables of the digital economy and water endowment are introduced to further analyse the regulating mechanism. The results demonstrate that there is a corresponding ‘weak decoupling‐strong decoupling‐strong decoupling’ stage of development between water resource use and economic growth in the Yangtze River basin, with the corresponding technology effect factor being the most important driver. There is also a corresponding positive regulation impact of the digital economy on the relationship between the two, while water resources endowment has a corresponding negative regulation mechanism, as well as the role of corresponding influencing factors. Relevant recommendations for water resources use have been suggested.
{"title":"Drivers, performance evaluation and influencing factors of water resources utilisation—based on the theory of sustainable development","authors":"Wenjing Wang, Xin Zhao, Junwei Xu, Shenjie Zhou","doi":"10.1111/1477-8947.12475","DOIUrl":"https://doi.org/10.1111/1477-8947.12475","url":null,"abstract":"Water constitutes an important natural and strategic resource, crucial to sustainable development, as well as the social stability and wellbeing of every economy. The coordinated development of water resource utilisation and economic growth is currently the focus of attention of social scientists and other representatives of the scholarly community, being one of the key factors for the long‐term development of a country. Based on theories of sustainable development and water resource utilisation, this paper examines the ‘quantity’ and ‘quality’ of water resource utilisation in 19 provinces, municipalities directly under the Central Government, and autonomous regions in the Yangtze River basin from 2006 to 2021, and explores the internal interaction mechanism. First, the decoupling model is used to explore the decoupling relationship between water resource use and economic growth in the Yangtze River Basin, and the LMDI additive index model is used to analyse the corresponding four driving factors. After discovering the interaction between the ‘quantity’ of water resources and economic growth, the ‘quality’ of water resources in the Yangtze River basin was explored, and after measuring the utilisation rate of water resources in the Yangtze River basin, the Tobit model was applied to introduce the explanatory and control variables to deeply analyse the influencing factors of water resources, and the two regulating variables of the digital economy and water endowment are introduced to further analyse the regulating mechanism. The results demonstrate that there is a corresponding ‘weak decoupling‐strong decoupling‐strong decoupling’ stage of development between water resource use and economic growth in the Yangtze River basin, with the corresponding technology effect factor being the most important driver. There is also a corresponding positive regulation impact of the digital economy on the relationship between the two, while water resources endowment has a corresponding negative regulation mechanism, as well as the role of corresponding influencing factors. Relevant recommendations for water resources use have been suggested.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"19 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daohua Wang, Ziheng Niu, Ning Li, Yu Zhang, Zongsen Zou
Economic development and environmental sustainability have recently become global priorities. This study utilizes the nonlinear autoregressive distribution lag model (NARDL) to investigate the asymmetric effects of natural resource rents on economic growth and environmental quality in China and the United States from 1970 to 2020. The findings indicate that natural resource rents exert asymmetric effects on economic growth and environmental quality in both countries; however, the impact patterns differ between the two countries. In the short term, a decrease in natural resource rents significantly increases GDP per capita in the US, while an increase in natural resource rents has no effect. Moreover, natural resource rents do not influence the ecological footprint in the US. By contrast, China's GDP per capita remains unaffected by natural resource rents, while the ecological footprint is significantly influenced by both positive and negative changes in natural resource rents, exhibiting asymmetric impacts. In the long run, an increase in natural resource rents significantly impacts both GDP per capita and the ecological footprint in the US, while a decrease only impacts the ecological footprint. By contrast, both increases and decreases in natural resource rents impact per capita GDP and the ecological footprint in China. These findings highlight the importance of tailoring country‐specific policies to facilitate sustainable economic development and enhance environmental quality.
经济发展和环境可持续性近来已成为全球优先考虑的问题。本研究利用非线性自回归分布滞后模型（NARDL），研究了 1970 年至 2020 年自然资源租金对中国和美国经济增长和环境质量的非对称影响。研究结果表明，自然资源租金对中美两国的经济增长和环境质量产生了非对称效应，但两国的影响模式有所不同。在短期内，自然资源租金的减少会显著增加美国的人均 GDP，而自然资源租金的增加则没有影响。此外，自然资源租金并不影响美国的生态足迹。相比之下，中国的人均 GDP 不受自然资源租金的影响，而生态足迹则受到自然资源租金正负变化的显著影响，表现出不对称的影响。从长期来看，自然资源租金的增加对美国的人均 GDP 和生态足迹都有显著影响，而减少只影响生态足迹。相比之下，自然资源租金的增加和减少都会影响中国的人均 GDP 和生态足迹。这些发现凸显了因地制宜地制定国家政策以促进可持续经济发展和提高环境质量的重要性。
{"title":"Dynamic nexus between natural resource rents, economic growth, and environmental quality: A comparative study between China and the US","authors":"Daohua Wang, Ziheng Niu, Ning Li, Yu Zhang, Zongsen Zou","doi":"10.1111/1477-8947.12528","DOIUrl":"https://doi.org/10.1111/1477-8947.12528","url":null,"abstract":"Economic development and environmental sustainability have recently become global priorities. This study utilizes the nonlinear autoregressive distribution lag model (NARDL) to investigate the asymmetric effects of natural resource rents on economic growth and environmental quality in China and the United States from 1970 to 2020. The findings indicate that natural resource rents exert asymmetric effects on economic growth and environmental quality in both countries; however, the impact patterns differ between the two countries. In the short term, a decrease in natural resource rents significantly increases GDP per capita in the US, while an increase in natural resource rents has no effect. Moreover, natural resource rents do not influence the ecological footprint in the US. By contrast, China's GDP per capita remains unaffected by natural resource rents, while the ecological footprint is significantly influenced by both positive and negative changes in natural resource rents, exhibiting asymmetric impacts. In the long run, an increase in natural resource rents significantly impacts both GDP per capita and the ecological footprint in the US, while a decrease only impacts the ecological footprint. By contrast, both increases and decreases in natural resource rents impact per capita GDP and the ecological footprint in China. These findings highlight the importance of tailoring country‐specific policies to facilitate sustainable economic development and enhance environmental quality.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"6 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emissions trading system (ETS) is one of the effective measures for energy conservation and emissions reduction, and the impact of the carbon ETS can be reflected in the willingness of enterprises to pay for carbon emissions reductions. However, there has been little research exploring the relationship between the two. Therefore, this study fills this knowledge gap by comprehensively investigating the influence of China carbon ETS policy (ETSP) on the willingness of enterprises to pay for carbon emissions reductions, and incorporates environmental awareness (EA), green technology innovation (GTI), and climate risk awareness (CRA) into the research model, thus constructing a new theoretical framework. Empirical analysis is conducted using the structural equation modeling method based on survey data from 478 Chinese enterprises. The results indicate that: (1) the China carbon ETSP can promote the willingness of enterprises to pay for carbon emissions reductions. (2) The China carbon ETSP can also promote the EA, GTI, and CRA of enterprises. (3) EA, GTI, and CRA can also promote the willingness of enterprises to pay for carbon emissions reductions. (4) Mediation effect analysis revealed that EA and CRA, respectively, play a mediating role in the influence process of the China carbon ETSP on the willingness of enterprises to pay for carbon emissions reductions. However, GTI does not have a mediating effect in this process. (5) Comparative mediation analysis found no significant differences in the mediating effects of EA and CRA. This study provides constructive practical recommendations for future carbon market mechanism construction and enterprise emission reduction policy formulation. It also offers guidance and reference for the behavioral decision‐making of enterprises in carbon market transactions, and carries practical significance and policy advocacy value.
{"title":"Will the carbon emissions trading system promote enterprises' willingness to pay for carbon emission reduction?","authors":"Zhibin Tao, Jiaxiao Chao","doi":"10.1111/1477-8947.12519","DOIUrl":"https://doi.org/10.1111/1477-8947.12519","url":null,"abstract":"The emissions trading system (ETS) is one of the effective measures for energy conservation and emissions reduction, and the impact of the carbon ETS can be reflected in the willingness of enterprises to pay for carbon emissions reductions. However, there has been little research exploring the relationship between the two. Therefore, this study fills this knowledge gap by comprehensively investigating the influence of China carbon ETS policy (ETSP) on the willingness of enterprises to pay for carbon emissions reductions, and incorporates environmental awareness (EA), green technology innovation (GTI), and climate risk awareness (CRA) into the research model, thus constructing a new theoretical framework. Empirical analysis is conducted using the structural equation modeling method based on survey data from 478 Chinese enterprises. The results indicate that: (1) the China carbon ETSP can promote the willingness of enterprises to pay for carbon emissions reductions. (2) The China carbon ETSP can also promote the EA, GTI, and CRA of enterprises. (3) EA, GTI, and CRA can also promote the willingness of enterprises to pay for carbon emissions reductions. (4) Mediation effect analysis revealed that EA and CRA, respectively, play a mediating role in the influence process of the China carbon ETSP on the willingness of enterprises to pay for carbon emissions reductions. However, GTI does not have a mediating effect in this process. (5) Comparative mediation analysis found no significant differences in the mediating effects of EA and CRA. This study provides constructive practical recommendations for future carbon market mechanism construction and enterprise emission reduction policy formulation. It also offers guidance and reference for the behavioral decision‐making of enterprises in carbon market transactions, and carries practical significance and policy advocacy value.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"21 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiong Deng, Muhammad Usman, Muhammad Irfan, Mohammad Haseeb
The Next 11 (N‐11) countries are facing many challenges in achieving the objectives of Sustainable Development Goals (SDGs), as preserving environmental quality has become a major challenge for them. Specifically, achieving SDG 3, SDG 7, SDG 9, and SDG 13, the current research scrutinizes the influence of industrialization, tourism, and renewable and fossil fuel energy consumption with the moderating role of financial development on the ecological footprint in the N‐11 countries during 1995–2018. By testing all nine hypotheses through the augmented mean group, common correlated effects mean group estimators, and the Dumitrescu and Hurlin causality approach, various interesting findings are discovered. The findings verified that industrialization, tourism, and non‐renewable energy play major roles in driving environmental pollution. However, renewables and financial development increase environmental quality. Moreover, the interacting role of financial expansion with industrialization and non‐renewables significantly deteriorates the environment. In contrast, the moderating role of financial development with tourism and renewable energy protects environmental excellence. In addition, the growth hypothesis is discovered from tourism and renewables to ecological footprint, and the feedback hypothesis is discovered between industrialization, financial development, and ecological footprint. Following the empirical findings, we recommend several policy implications to address the objectives of SDG 3, SDG 7, SDG 9, and SDG 13.
{"title":"The role of financial inclusion and tourism in tackling environmental challenges of industrialization and energy consumption: Redesigning Sustainable Development Goals policies","authors":"Qiong Deng, Muhammad Usman, Muhammad Irfan, Mohammad Haseeb","doi":"10.1111/1477-8947.12522","DOIUrl":"https://doi.org/10.1111/1477-8947.12522","url":null,"abstract":"The Next 11 (N‐11) countries are facing many challenges in achieving the objectives of Sustainable Development Goals (SDGs), as preserving environmental quality has become a major challenge for them. Specifically, achieving SDG 3, SDG 7, SDG 9, and SDG 13, the current research scrutinizes the influence of industrialization, tourism, and renewable and fossil fuel energy consumption with the moderating role of financial development on the ecological footprint in the N‐11 countries during 1995–2018. By testing all nine hypotheses through the augmented mean group, common correlated effects mean group estimators, and the Dumitrescu and Hurlin causality approach, various interesting findings are discovered. The findings verified that industrialization, tourism, and non‐renewable energy play major roles in driving environmental pollution. However, renewables and financial development increase environmental quality. Moreover, the interacting role of financial expansion with industrialization and non‐renewables significantly deteriorates the environment. In contrast, the moderating role of financial development with tourism and renewable energy protects environmental excellence. In addition, the growth hypothesis is discovered from tourism and renewables to ecological footprint, and the feedback hypothesis is discovered between industrialization, financial development, and ecological footprint. Following the empirical findings, we recommend several policy implications to address the objectives of SDG 3, SDG 7, SDG 9, and SDG 13.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"32 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141550034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research investigates consumption‐based carbon dioxide emissions (CBE) within the Group of Seven (G7) economies from 1990 to 2022, particularly under the Paris Agreement. The main focus of the study is on key determinants such as trade, income, renewable energy consumption, foreign direct investment, and technological innovation. The study aims to unravel the complexities underlying the environmental footprint of consumption. A novel aspect of this research is its intent to fill existing gaps in the literature by providing a sectoral analysis and exploring the temporal dynamics of consumption patterns within these advanced industrial nations. Advanced econometric methods, specifically the Cross‐Section Augmented Autoregressive Distributed Lag (CS‐ARDL), are employed to enhance the robustness and reliability of the analysis. Cointegration relationships among CBE and its determinants shed light on the short and long‐term interdependencies among these factors. Using the Augmented Mean Group (AMG) and Common Correlated Effect Mean Group (CCEMG) methods to conduct robustness checks makes the models even more substantial and ensures the results' validity. The implications of this research are far‐reaching, extending to various stakeholders, including policymakers, businesses, industries, and supply chain decision makers. Our study identifies significant long‐term relationships between CBE and key determinants within G7 economies. The findings emphasize the urgency of adopting strategies that promote the sustainable management of natural resources. As global efforts intensify to address climate change, this research provides practical implications for shaping sustainable policy strategies and environmental initiatives on a global scale.
{"title":"Unraveling consumption‐based carbon dioxide emissions: Sectoral analysis and temporal dynamics in G7 economies","authors":"Mohsin Rasheed, Jianhua Liu","doi":"10.1111/1477-8947.12521","DOIUrl":"https://doi.org/10.1111/1477-8947.12521","url":null,"abstract":"This research investigates consumption‐based carbon dioxide emissions (CBE) within the Group of Seven (G7) economies from 1990 to 2022, particularly under the Paris Agreement. The main focus of the study is on key determinants such as trade, income, renewable energy consumption, foreign direct investment, and technological innovation. The study aims to unravel the complexities underlying the environmental footprint of consumption. A novel aspect of this research is its intent to fill existing gaps in the literature by providing a sectoral analysis and exploring the temporal dynamics of consumption patterns within these advanced industrial nations. Advanced econometric methods, specifically the Cross‐Section Augmented Autoregressive Distributed Lag (CS‐ARDL), are employed to enhance the robustness and reliability of the analysis. Cointegration relationships among CBE and its determinants shed light on the short and long‐term interdependencies among these factors. Using the Augmented Mean Group (AMG) and Common Correlated Effect Mean Group (CCEMG) methods to conduct robustness checks makes the models even more substantial and ensures the results' validity. The implications of this research are far‐reaching, extending to various stakeholders, including policymakers, businesses, industries, and supply chain decision makers. Our study identifies significant long‐term relationships between CBE and key determinants within G7 economies. The findings emphasize the urgency of adopting strategies that promote the sustainable management of natural resources. As global efforts intensify to address climate change, this research provides practical implications for shaping sustainable policy strategies and environmental initiatives on a global scale.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"55 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141523139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past few years, the Association of Southeast Asian Nations (ASEAN) has experienced great economic expansion, which has resulted in varied degrees of diversified commerce, an elevated level of government revenue, and an increase in the demand for energy. The purpose of this study is to provide a solution to this conundrum by analyzing the effects of trade diversification (TDF), government revenues (GRN), gross domestic product (GDP), and natural resource rent (NTR) on the sustainable development of the ASEAN countries between the years 1981 and 2022. In order to accurately portray the concept of environmental sustainability, the ecological footprint (EFP) is utilized to represent sustainable development. The quantile‐based econometrics technique known as the Method of the Moments Quantile Regression (MMQR) has been utilized in order to investigate the direction and amplitude of the asymmetric correlation that exists between the interaction of GRN, TDF, NTR, and EFP. According to the estimations of the MMQR, it is proposed that government revenues, which include significant financial incentives that promote the stringent execution of environmental rules, hence avoiding deleterious impacts on the environment, have negative coefficients at all quantiles (Q0.25 − Q0.90). Conversely, TDF and GDP have a positive and statistically strong significant correlation across all quantiles (Q0.25 − Q0.90), revealing that TDF reduces environmental sustainability and expands the size of the world's EFP by making energy‐intensive products more accessible. In addition, the Augmented Mean Group (AMG) and the Common Correlated Effect Mean Group (CCEMG) both provide evidence that supports the correlation study by demonstrating that there is a similar pattern of causality across variables.
{"title":"Sustainable development in ASEAN: The role of trade diversification, government revenue, and natural resources","authors":"Xiang Ma, Lin Ma, Rimsha Arshad, Hind Alofaysan","doi":"10.1111/1477-8947.12526","DOIUrl":"https://doi.org/10.1111/1477-8947.12526","url":null,"abstract":"Over the past few years, the Association of Southeast Asian Nations (ASEAN) has experienced great economic expansion, which has resulted in varied degrees of diversified commerce, an elevated level of government revenue, and an increase in the demand for energy. The purpose of this study is to provide a solution to this conundrum by analyzing the effects of trade diversification (TDF), government revenues (GRN), gross domestic product (GDP), and natural resource rent (NTR) on the sustainable development of the ASEAN countries between the years 1981 and 2022. In order to accurately portray the concept of environmental sustainability, the ecological footprint (EFP) is utilized to represent sustainable development. The quantile‐based econometrics technique known as the Method of the Moments Quantile Regression (MMQR) has been utilized in order to investigate the direction and amplitude of the asymmetric correlation that exists between the interaction of GRN, TDF, NTR, and EFP. According to the estimations of the MMQR, it is proposed that government revenues, which include significant financial incentives that promote the stringent execution of environmental rules, hence avoiding deleterious impacts on the environment, have negative coefficients at all quantiles (Q<jats:sub>0.25</jats:sub> − Q<jats:sub>0.90</jats:sub>). Conversely, TDF and GDP have a positive and statistically strong significant correlation across all quantiles (Q<jats:sub>0.25</jats:sub> − Q<jats:sub>0.90</jats:sub>), revealing that TDF reduces environmental sustainability and expands the size of the world's EFP by making energy‐intensive products more accessible. In addition, the Augmented Mean Group (AMG) and the Common Correlated Effect Mean Group (CCEMG) both provide evidence that supports the correlation study by demonstrating that there is a similar pattern of causality across variables.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"21 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141531835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of this study was to embark on a transformative exploration of the interplay between technological innovation, renewable energy, economic development, and carbon emissions in BRICS nations, unveiling novel insights that redefine sustainability paradigms and contribute to global environmental policymaking. This comprehensive study spans the years 1990–2022, meticulously examining the dynamics of economic indicators, energy consumption, renewable energy generation, and technological progress. The dataset's non‐normal distribution prompts the use of moment quantile regression, providing nuanced insights with consideration for diverse slopes and cross‐sectional dependencies. Validation through the “Dumitrescu‐Hurlin panel Causality Test” refines the findings, revealing the diminishing impact of technological innovation across quantiles. The study illuminates a compelling connection: heightened technological innovation correlates strongly with reduced carbon emissions, particularly evident at lower quantiles. This aligns seamlessly with existing research, emphasizing technology's transformative potential for sustainability. Conversely, a concerning positive association emerges between energy utilization and carbon emissions, highlighting the persistent environmental challenge posed by escalating energy use. Urgent strategic interventions are underscored to address the ecological consequences associated with rising energy consumption. The intricate relationship between renewable electricity production and carbon emissions unfolds, emphasizing renewables' pivotal role in mitigating environmental impact. This aligns with ongoing discussions regarding their indispensable contribution to sustainable development. The study underscores the strategic importance of prioritizing renewable power production in environmental sustainability initiatives. However, a disconcerting positive association surfaces between economic development and carbon emissions across all quantiles, revealing the environmental costs accompanying economic growth in BRICS nations. As economic development advances, carbon emissions escalate, presenting substantial sustainability challenges and emphasizing the imperative to balance progress with environmental conservation efforts. This contribution enriches the ongoing discourse on fostering sustainability within the BRICS nations and beyond, marking a significant stride toward a more environmentally conscious future.
{"title":"Innovate, conserve, grow: A comprehensive analysis of technological innovation, energy utilization, and carbon emission in BRICS","authors":"Meng Zhang, Muhammad Imran, Ronaldo A. Juanatas","doi":"10.1111/1477-8947.12510","DOIUrl":"https://doi.org/10.1111/1477-8947.12510","url":null,"abstract":"The aim of this study was to embark on a transformative exploration of the interplay between technological innovation, renewable energy, economic development, and carbon emissions in BRICS nations, unveiling novel insights that redefine sustainability paradigms and contribute to global environmental policymaking. This comprehensive study spans the years 1990–2022, meticulously examining the dynamics of economic indicators, energy consumption, renewable energy generation, and technological progress. The dataset's non‐normal distribution prompts the use of moment quantile regression, providing nuanced insights with consideration for diverse slopes and cross‐sectional dependencies. Validation through the “Dumitrescu‐Hurlin panel Causality Test” refines the findings, revealing the diminishing impact of technological innovation across quantiles. The study illuminates a compelling connection: heightened technological innovation correlates strongly with reduced carbon emissions, particularly evident at lower quantiles. This aligns seamlessly with existing research, emphasizing technology's transformative potential for sustainability. Conversely, a concerning positive association emerges between energy utilization and carbon emissions, highlighting the persistent environmental challenge posed by escalating energy use. Urgent strategic interventions are underscored to address the ecological consequences associated with rising energy consumption. The intricate relationship between renewable electricity production and carbon emissions unfolds, emphasizing renewables' pivotal role in mitigating environmental impact. This aligns with ongoing discussions regarding their indispensable contribution to sustainable development. The study underscores the strategic importance of prioritizing renewable power production in environmental sustainability initiatives. However, a disconcerting positive association surfaces between economic development and carbon emissions across all quantiles, revealing the environmental costs accompanying economic growth in BRICS nations. As economic development advances, carbon emissions escalate, presenting substantial sustainability challenges and emphasizing the imperative to balance progress with environmental conservation efforts. This contribution enriches the ongoing discourse on fostering sustainability within the BRICS nations and beyond, marking a significant stride toward a more environmentally conscious future.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"96 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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