Khatib Ahmad Khan, Phan The Cong, Ali Abbas, Paiman Ahmad, Nguyen Ngoc Quynh, Minh‐Quang Nguyen, Ahsan Anwar
{"title":"驾驭地缘政治风险和经济政策不确定性的环境影响:金砖四国经济中负载能力曲线假设的证据","authors":"Khatib Ahmad Khan, Phan The Cong, Ali Abbas, Paiman Ahmad, Nguyen Ngoc Quynh, Minh‐Quang Nguyen, Ahsan Anwar","doi":"10.1111/1477-8947.12538","DOIUrl":null,"url":null,"abstract":"Global warming, climate disruptions, and environmental challenges are significant concerns in the present era, placing socioeconomic burdens on nations globally as humanity progresses at an unprecedented pace. In this framework, the load capacity factor (LCF) has evolved to demonstrate the environment‐damaging behavior of the population and nature's reaction to such damage. Thus, improving LCF by economies has become crucial for attaining the sustainable development goals (SDGs). In doing so, the current study scrutinizes the influence of geopolitical risk (GPR), economic policy uncertainty (EPU), economic growth (EG), renewable energy consumption (REC), natural resource rent (NRR), and financial development (FD) on LCF in BRICST economies during 1990–2020. We use the panel quantile regression (PQR) technique for empirical outcomes. The PQR technique can capture the heterogeneous role of explanatory factors. The empirical results of the PQR method validate the U‐shaped LCC hypothesis through the non‐linear evaluation of EG and LCF. Furthermore, results reveal that GPR, EPU, and FD adversely affect environmental quality. However, REC and NRR's supportive role in improving LCF is found. Keeping in view these empirical results, the study suggests an extensive policy framework for attaining the objectives of SDG 13 (climate change), SDG 08 (decent work and economic growth ), SDG 16 (peace for sustainable development), SDG 12 (responsible consumption and production), and SDG 07 (clean energy) in BRICST economies.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the environmental impact of geopolitical risk and economic policy uncertainty: Evidence from load capacity curve hypothesis in BRICST economies\",\"authors\":\"Khatib Ahmad Khan, Phan The Cong, Ali Abbas, Paiman Ahmad, Nguyen Ngoc Quynh, Minh‐Quang Nguyen, Ahsan Anwar\",\"doi\":\"10.1111/1477-8947.12538\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Global warming, climate disruptions, and environmental challenges are significant concerns in the present era, placing socioeconomic burdens on nations globally as humanity progresses at an unprecedented pace. In this framework, the load capacity factor (LCF) has evolved to demonstrate the environment‐damaging behavior of the population and nature's reaction to such damage. Thus, improving LCF by economies has become crucial for attaining the sustainable development goals (SDGs). In doing so, the current study scrutinizes the influence of geopolitical risk (GPR), economic policy uncertainty (EPU), economic growth (EG), renewable energy consumption (REC), natural resource rent (NRR), and financial development (FD) on LCF in BRICST economies during 1990–2020. We use the panel quantile regression (PQR) technique for empirical outcomes. The PQR technique can capture the heterogeneous role of explanatory factors. The empirical results of the PQR method validate the U‐shaped LCC hypothesis through the non‐linear evaluation of EG and LCF. Furthermore, results reveal that GPR, EPU, and FD adversely affect environmental quality. However, REC and NRR's supportive role in improving LCF is found. Keeping in view these empirical results, the study suggests an extensive policy framework for attaining the objectives of SDG 13 (climate change), SDG 08 (decent work and economic growth ), SDG 16 (peace for sustainable development), SDG 12 (responsible consumption and production), and SDG 07 (clean energy) in BRICST economies.\",\"PeriodicalId\":49777,\"journal\":{\"name\":\"Natural Resources Forum\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Resources Forum\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1111/1477-8947.12538\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Resources Forum","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1111/1477-8947.12538","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Navigating the environmental impact of geopolitical risk and economic policy uncertainty: Evidence from load capacity curve hypothesis in BRICST economies
Global warming, climate disruptions, and environmental challenges are significant concerns in the present era, placing socioeconomic burdens on nations globally as humanity progresses at an unprecedented pace. In this framework, the load capacity factor (LCF) has evolved to demonstrate the environment‐damaging behavior of the population and nature's reaction to such damage. Thus, improving LCF by economies has become crucial for attaining the sustainable development goals (SDGs). In doing so, the current study scrutinizes the influence of geopolitical risk (GPR), economic policy uncertainty (EPU), economic growth (EG), renewable energy consumption (REC), natural resource rent (NRR), and financial development (FD) on LCF in BRICST economies during 1990–2020. We use the panel quantile regression (PQR) technique for empirical outcomes. The PQR technique can capture the heterogeneous role of explanatory factors. The empirical results of the PQR method validate the U‐shaped LCC hypothesis through the non‐linear evaluation of EG and LCF. Furthermore, results reveal that GPR, EPU, and FD adversely affect environmental quality. However, REC and NRR's supportive role in improving LCF is found. Keeping in view these empirical results, the study suggests an extensive policy framework for attaining the objectives of SDG 13 (climate change), SDG 08 (decent work and economic growth ), SDG 16 (peace for sustainable development), SDG 12 (responsible consumption and production), and SDG 07 (clean energy) in BRICST economies.
期刊介绍:
Natural Resources Forum, a United Nations Sustainable Development Journal, focuses on international, multidisciplinary issues related to sustainable development, with an emphasis on developing countries. The journal seeks to address gaps in current knowledge and stimulate policy discussions on the most critical issues associated with the sustainable development agenda, by promoting research that integrates the social, economic, and environmental dimensions of sustainable development. Contributions that inform the global policy debate through pragmatic lessons learned from experience at the local, national, and global levels are encouraged.
The Journal considers articles written on all topics relevant to sustainable development. In addition, it dedicates series, issues and special sections to specific themes that are relevant to the current discussions of the United Nations Commission on Sustainable Development (CSD). Articles must be based on original research and must be relevant to policy-making.
Criteria for selection of submitted articles include:
1) Relevance and importance of the topic discussed to sustainable development in general, both in terms of policy impacts and gaps in current knowledge being addressed by the article;
2) Treatment of the topic that incorporates social, economic and environmental aspects of sustainable development, rather than focusing purely on sectoral and/or technical aspects;
3) Articles must contain original applied material drawn from concrete projects, policy implementation, or literature reviews; purely theoretical papers are not entertained.