Rural waste management is a highly complex issue requiring multi‐stakeholders' cooperation. The promotion of cooperative action through social mobilization is essential. Based on evolutionary game theory, this study constructs a dynamic model consisting of government, social funds, and rural residents to study the effectiveness of public–private partnership (PPP) projects in rural waste management in China. The results show that excessively high or low subsidies from the government to social funds are detrimental to the sustainability of rural waste management. The optimal subsidy rate ranges from 600,000 RMB to PPP 750,000 RMB. It may strike a balance between avoiding excessive financial burden on the government and encouraging a 5% increase in social funds' investment. Waste management fees are suitable for promoting the quality of rural waste management services, with the maximum ideal fee being 24 RMB. The simulation results also demonstrate that the policy combination of high incentives and high penalties and low supervision and high penalties is conducive to tripartite cooperation in PPP projects. In addition, the government should impose fines of more than 750,000 RMB on social funds to prevent potentially ineffective management services offered by the social funds.
{"title":"How to promote the sustainability of China's rural waste management system: Increase government subsidies or increase waste service management fees?","authors":"Mengling Tian, Ruifeng Liu, Jian Wang, Jiahao Liang, Yefan Nian, Hengyun Ma","doi":"10.1111/1477-8947.12454","DOIUrl":"https://doi.org/10.1111/1477-8947.12454","url":null,"abstract":"Rural waste management is a highly complex issue requiring multi‐stakeholders' cooperation. The promotion of cooperative action through social mobilization is essential. Based on evolutionary game theory, this study constructs a dynamic model consisting of government, social funds, and rural residents to study the effectiveness of public–private partnership (PPP) projects in rural waste management in China. The results show that excessively high or low subsidies from the government to social funds are detrimental to the sustainability of rural waste management. The optimal subsidy rate ranges from 600,000 RMB to PPP 750,000 RMB. It may strike a balance between avoiding excessive financial burden on the government and encouraging a 5% increase in social funds' investment. Waste management fees are suitable for promoting the quality of rural waste management services, with the maximum ideal fee being 24 RMB. The simulation results also demonstrate that the policy combination of high incentives and high penalties and low supervision and high penalties is conducive to tripartite cooperation in PPP projects. In addition, the government should impose fines of more than 750,000 RMB on social funds to prevent potentially ineffective management services offered by the social funds.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"65 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597584","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}
Abdullah Emre Caglar, Muhammet Daştan, Salih Bortecine Avci, Zahoor Ahmed, Senem Gönenç
In recent decades, the detrimental impacts of climate change have been increasingly felt worldwide. This is due to the extreme consumption of natural resources to fuel economic activity. Confronting a widening ecological deficit, humanity must urgently accelerate its journey toward sustainable development goals (SDGs). This demands active efforts to curb environmental pollution and protect natural resources, safeguarding the planet for future generations. Since Brazil has high biocapacity and ecological areas, the impact of energy resources on ecological sustainability policies cannot be excluded. Moreover, Brazil holds a vital position in the world for global foreign direct investment flows. In this regard, this paper considers the asymmetric impact of mineral rents and foreign direct investments when investigating Brazil's environmental sustainability. In addition, it evaluates elements like economic growth and low‐carbon energy consumption from 1970 to 2021. To this end, the research applies the Fourier nonlinear autoregressive distributed lag model and draws three significant conclusions. First, resource extraction undermines environmental sustainability. Second, the inflow of foreign direct investment reduces the load capacity factor, implying that the pollution haven hypothesis holds for Brazil. Third, low‐carbon energy consumption contributes to environmental sustainability. Our findings highlight the critical role of regulating mineral resource rents in achieving SDGs in Brazil. Moreover, increasing investment in clean energy sources and transitioning toward low‐carbon energy can promote sustainable development in Brazil. The Brazilian government should abandon mineral extraction, focus on low‐carbon energy consumption, and prevent companies from destroying nature by introducing strict environmental regulations for foreign investment flows.
{"title":"Modeling the influence of mineral rents and low‐carbon energy on environmental quality: New insights from a sustainability perspective","authors":"Abdullah Emre Caglar, Muhammet Daştan, Salih Bortecine Avci, Zahoor Ahmed, Senem Gönenç","doi":"10.1111/1477-8947.12472","DOIUrl":"https://doi.org/10.1111/1477-8947.12472","url":null,"abstract":"In recent decades, the detrimental impacts of climate change have been increasingly felt worldwide. This is due to the extreme consumption of natural resources to fuel economic activity. Confronting a widening ecological deficit, humanity must urgently accelerate its journey toward sustainable development goals (SDGs). This demands active efforts to curb environmental pollution and protect natural resources, safeguarding the planet for future generations. Since Brazil has high biocapacity and ecological areas, the impact of energy resources on ecological sustainability policies cannot be excluded. Moreover, Brazil holds a vital position in the world for global foreign direct investment flows. In this regard, this paper considers the asymmetric impact of mineral rents and foreign direct investments when investigating Brazil's environmental sustainability. In addition, it evaluates elements like economic growth and low‐carbon energy consumption from 1970 to 2021. To this end, the research applies the Fourier nonlinear autoregressive distributed lag model and draws three significant conclusions. First, resource extraction undermines environmental sustainability. Second, the inflow of foreign direct investment reduces the load capacity factor, implying that the pollution haven hypothesis holds for Brazil. Third, low‐carbon energy consumption contributes to environmental sustainability. Our findings highlight the critical role of regulating mineral resource rents in achieving SDGs in Brazil. Moreover, increasing investment in clean energy sources and transitioning toward low‐carbon energy can promote sustainable development in Brazil. The Brazilian government should abandon mineral extraction, focus on low‐carbon energy consumption, and prevent companies from destroying nature by introducing strict environmental regulations for foreign investment flows.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"52 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597276","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 aims to design and build a pilot home according to the United Nations sustainable development goals (UN SDGs). The research methodology is a nature‐oriented housing policy to promote renewable energy consumption in homes for cleaner environments. This study analyzes the structural elements of traditional homes in the eastern south of Iran. This study examines the UN SDGs in planning and designing the model to find the advantages of nature‐oriented constructions compared to the current harmful development projects damaging nature, environments, ecosystems, and the earth. The building model presented in this paper is in harmony with the UN SDGs. The model provides an architectural and planning procedure to prevent the earth from damaging fossil consumption‐built environments in the world. Calculations show that the housing pilot model saves USD 3600 in energy consumption per household on average. The outcomes of this study prove the hypothesis that the use of renewable energy in homes is beneficial economically and environmentally. This study implicates housing policies in shifting planning and design methods toward UN SDGs. Policies are applicable globally in the housing programs.
{"title":"House building techniques for achieving sustainable development goals","authors":"Abdol Aziz Shahraki, Hossein Mollashahi","doi":"10.1111/1477-8947.12467","DOIUrl":"https://doi.org/10.1111/1477-8947.12467","url":null,"abstract":"This study aims to design and build a pilot home according to the United Nations sustainable development goals (UN SDGs). The research methodology is a nature‐oriented housing policy to promote renewable energy consumption in homes for cleaner environments. This study analyzes the structural elements of traditional homes in the eastern south of Iran. This study examines the UN SDGs in planning and designing the model to find the advantages of nature‐oriented constructions compared to the current harmful development projects damaging nature, environments, ecosystems, and the earth. The building model presented in this paper is in harmony with the UN SDGs. The model provides an architectural and planning procedure to prevent the earth from damaging fossil consumption‐built environments in the world. Calculations show that the housing pilot model saves USD 3600 in energy consumption per household on average. The outcomes of this study prove the hypothesis that the use of renewable energy in homes is beneficial economically and environmentally. This study implicates housing policies in shifting planning and design methods toward UN SDGs. Policies are applicable globally in the housing programs.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"65 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597401","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}
Ayman Shuayb Sulayman Shuayb, Sindiso Dube, Wagdi Khalifa, Abraham Deka, Ponle Henry Kareem, Behiye Cavusoglu
Natural resources are vital in alleviating the effects imposed by human activities on the environment. For this reason, the preservation and wise utilization of natural resources has been emphasized and some laws toward ensuring that natural resources are not wasted have been put in place. However, high rents on natural resources are not sustaining. By following the STIRPAT model, this research seeks to assess the role played by natural resources rent, the rule of law, and renewable energy in alleviating the damage caused to the environment by human activities. The present research furthers the growing body of literature on the topic, which constitutes its primary contribution. To attain this goal, the dataset of the top 10 natural resource‐rich African countries, for the time range 1990 to 2021 is used. The dynamic Cross‐sectional Autoregressive Distributive Lag (CS‐ARDL) which overcomes heterogeneity, cross‐sectional dependence (CD), and dynamics is used in the analysis of the research model. The Augmented Mean Group (AMG) and the dynamic Common Correlated Estimator Mean Group (CCEMG) methods are employed to check the robustness of CS‐ARDL results. The findings illustrate that economic growth, natural resources rent, and energy intensity promote environmental damage, while renewable energy (RE) and the rule of law lessen it. This research advocates for the reduction and stabilization of natural resources rent, extensive use of RE, and improvements in the rule of law to alleviate environmental damage.
{"title":"The impact of natural resources rent, renewable energy, and governance on the environmental sustainability—Evidence from resource‐rich countries","authors":"Ayman Shuayb Sulayman Shuayb, Sindiso Dube, Wagdi Khalifa, Abraham Deka, Ponle Henry Kareem, Behiye Cavusoglu","doi":"10.1111/1477-8947.12459","DOIUrl":"https://doi.org/10.1111/1477-8947.12459","url":null,"abstract":"Natural resources are vital in alleviating the effects imposed by human activities on the environment. For this reason, the preservation and wise utilization of natural resources has been emphasized and some laws toward ensuring that natural resources are not wasted have been put in place. However, high rents on natural resources are not sustaining. By following the STIRPAT model, this research seeks to assess the role played by natural resources rent, the rule of law, and renewable energy in alleviating the damage caused to the environment by human activities. The present research furthers the growing body of literature on the topic, which constitutes its primary contribution. To attain this goal, the dataset of the top 10 natural resource‐rich African countries, for the time range 1990 to 2021 is used. The dynamic Cross‐sectional Autoregressive Distributive Lag (CS‐ARDL) which overcomes heterogeneity, cross‐sectional dependence (CD), and dynamics is used in the analysis of the research model. The Augmented Mean Group (AMG) and the dynamic Common Correlated Estimator Mean Group (CCEMG) methods are employed to check the robustness of CS‐ARDL results. The findings illustrate that economic growth, natural resources rent, and energy intensity promote environmental damage, while renewable energy (RE) and the rule of law lessen it. This research advocates for the reduction and stabilization of natural resources rent, extensive use of RE, and improvements in the rule of law to alleviate environmental damage.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"299 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597492","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}
Achieving economic progress hinges upon the active and strategic utilization of a nation's inherent resources in economic and financial endeavors. This comprehensive study investigates the intricate dynamics influencing the economic development of the United States, employing a time series dataset spanning from 1991 to 2022. Key factors including total natural resource rents, domestic capital formation, the ‘financial risk index (FRI),’ and the count of patents filed by both domestic and foreign investors. Rigorous statistical analyses, including the ‘Modified Dickey‐Fuller’ test and ‘Bayer‐Hanck cointegration’ strategy, were employed to extract meaningful insights from the data. Addressing concerns related to endogeneity and serial correlation, advanced techniques such as ‘Dynamic Ordinary Least Squares’ and ‘Fully Modified Ordinary Least Squares’ were applied. The findings illuminate the pivotal roles played by natural resource rents and domestic capital formation in propelling sustainable economic development in the United States. Notably, this study sheds light on the positive contributions of both domestic and foreign patent filings to the nation's economic trajectory. Furthermore, enhancements in the FRI are identified as catalysts for fostering sustainable economic growth. In essence, our research contributes to the existing body of knowledge by offering nuanced insights into the multifaceted influences shaping the economic landscape of the United States. The results not only underscore the significance of effective resource management and capital formation but also emphasize the positive impact of innovation, represented by patent filings, and improvements in the FRI on the nation's journey towards sustainable economic growth.
{"title":"Natural resource‐driven prosperity: Unveiling the catalysts of sustainable economic development in the United States","authors":"Xiukun Ge, Muhammad Imran, Kishwar Ali","doi":"10.1111/1477-8947.12456","DOIUrl":"https://doi.org/10.1111/1477-8947.12456","url":null,"abstract":"Achieving economic progress hinges upon the active and strategic utilization of a nation's inherent resources in economic and financial endeavors. This comprehensive study investigates the intricate dynamics influencing the economic development of the United States, employing a time series dataset spanning from 1991 to 2022. Key factors including total natural resource rents, domestic capital formation, the ‘financial risk index (FRI),’ and the count of patents filed by both domestic and foreign investors. Rigorous statistical analyses, including the ‘Modified Dickey‐Fuller’ test and ‘Bayer‐Hanck cointegration’ strategy, were employed to extract meaningful insights from the data. Addressing concerns related to endogeneity and serial correlation, advanced techniques such as ‘Dynamic Ordinary Least Squares’ and ‘Fully Modified Ordinary Least Squares’ were applied. The findings illuminate the pivotal roles played by natural resource rents and domestic capital formation in propelling sustainable economic development in the United States. Notably, this study sheds light on the positive contributions of both domestic and foreign patent filings to the nation's economic trajectory. Furthermore, enhancements in the FRI are identified as catalysts for fostering sustainable economic growth. In essence, our research contributes to the existing body of knowledge by offering nuanced insights into the multifaceted influences shaping the economic landscape of the United States. The results not only underscore the significance of effective resource management and capital formation but also emphasize the positive impact of innovation, represented by patent filings, and improvements in the FRI on the nation's journey towards sustainable economic growth.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"66 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597903","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}
Aijun Guo, Obaid Ullah, Ali Zeb, Naeem Ud Din, Shujaat Hussain
This study examines the intensifying threat to public health caused by increased CO2 emissions from energy and modern urbanization. In this connection, we focused on SAARC countries from 1990 to 2022. The study explores the dynamic association among urbanization, CO2 emissions, renewable energy, and key health indicators, namely life expectancy and infant mortality. It offers nuanced insights by highlighting the requirement for sustainable policies to meet health challenges associated with CO2 emissions and urban development in SAARC economies. To achieve the study objectives, the authors utilized panel auto regressive distributed lag for assessing short‐term and long‐run effects, and the method of moments quantile regressions to check these effects across different quantiles. The empirical results underscore the positive impact of renewable energy, urbanization, GDP, and industrialization on life expectancy. Conversely, CO2 emissions exhibit a detrimental impact on life expectancy, leading towards numerous diseases in both the short and long term. Notably, in the case of infant mortality, the study discloses that renewable energy, urbanization, GDP, and industrialization negatively affect infant mortality, while CO2 emissions positively impact infant mortality in both short and long‐run scenarios. Fully modified ordinary least squares and dynamic ordinary least squares further fortified our findings, supporting the results derived from panel auto regressive distributed lag and method of moments quantile regressions. The study's policy implications highlight the imperative for governments and policymakers to prioritize renewable energy and sustainable urbanization, mitigating the adverse health effects of CO2 emissions from non‐renewable energy sources. The study's findings further endorse a strategic shift towards renewable energy sources, positioning them as substitutes for conventional forms such as fossil fuels. Additionally, the emphasis is on planned and sustainable urbanization, facilitating improved access to health facilities and overall public health.
{"title":"Unveiling health dynamics: Exploring the impact of CO2 emissions, urbanization, and renewable energy on life expectancy and infant mortality in SAARC countries (1990–2022)","authors":"Aijun Guo, Obaid Ullah, Ali Zeb, Naeem Ud Din, Shujaat Hussain","doi":"10.1111/1477-8947.12460","DOIUrl":"https://doi.org/10.1111/1477-8947.12460","url":null,"abstract":"This study examines the intensifying threat to public health caused by increased CO<jats:sub>2</jats:sub> emissions from energy and modern urbanization. In this connection, we focused on SAARC countries from 1990 to 2022. The study explores the dynamic association among urbanization, CO<jats:sub>2</jats:sub> emissions, renewable energy, and key health indicators, namely life expectancy and infant mortality. It offers nuanced insights by highlighting the requirement for sustainable policies to meet health challenges associated with CO<jats:sub>2</jats:sub> emissions and urban development in SAARC economies. To achieve the study objectives, the authors utilized panel auto regressive distributed lag for assessing short‐term and long‐run effects, and the method of moments quantile regressions to check these effects across different quantiles. The empirical results underscore the positive impact of renewable energy, urbanization, GDP, and industrialization on life expectancy. Conversely, CO<jats:sub>2</jats:sub> emissions exhibit a detrimental impact on life expectancy, leading towards numerous diseases in both the short and long term. Notably, in the case of infant mortality, the study discloses that renewable energy, urbanization, GDP, and industrialization negatively affect infant mortality, while CO2 emissions positively impact infant mortality in both short and long‐run scenarios. Fully modified ordinary least squares and dynamic ordinary least squares further fortified our findings, supporting the results derived from panel auto regressive distributed lag and method of moments quantile regressions. The study's policy implications highlight the imperative for governments and policymakers to prioritize renewable energy and sustainable urbanization, mitigating the adverse health effects of CO<jats:sub>2</jats:sub> emissions from non‐renewable energy sources. The study's findings further endorse a strategic shift towards renewable energy sources, positioning them as substitutes for conventional forms such as fossil fuels. Additionally, the emphasis is on planned and sustainable urbanization, facilitating improved access to health facilities and overall public health.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"52 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140597590","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 has developed a model that predicts the quantity of CO2 emissions reduced and the adoption of e-Trucks until the year 2100 in Jordan. Using system dynamics software (Powersim) and business intelligence tools (Microsoft Power BI), the most significant factors affecting three modules: environment, government, and customer were examined. Twelve scenarios were modeled during the study (three factors and four cases for each factor). The factors were marketing effectiveness, environmental awareness, and government acquisition subsidy, and their values were (0.2, 0.3, 0.4, 0.5), (0.3, 0.4, 0.5, 0.6), and (500, 1500, 3000, 6000 Jordanian Dinar—JOD), respectively. Under normal conditions, with a marketing effectiveness of 0.2, environmental awareness of 0.3, and a subsidy of 500 JOD, the annual sales of e-Trucks and Conventional Fuel Trucks (CFT) will break-even in 2052 in Jordan. The cumulative CO2 emissions reduction at the same year will be 6165.213 Tons. Among the three factors, marketing effectiveness was found to have the highest impact followed by the environmental awareness and last came the acquisition subsidy. Based on our findings, it is recommended that policymakers prioritize improving marketing efforts to accelerate the shift towards e-Trucks, raise environmental awareness among consumers, and provide subsidies for acquisition of e-Trucks in Jordan. Additionally, further research is needed to incorporate other factors, such as ICT infrastructure, technology maturity and other social factors that can affect the adoption of e-Trucks. The study's originality lies in its focus on e-Trucks, a relatively underexplored area in the sustainable transport literature, especially in the context of Jordan as many other emerging nations. The practical implications include leading the switch to e-Trucks, identifying infrastructural needs, and informing legislative choices. By analyzing long-term dynamics and encouraging the deployment of e-Trucks, it seeks to lower CO2 emissions, enhance air quality, and promote a sustainable transportation system in Jordan.
{"title":"Modeling e-Truck adoption for sustainable transport in Jordan: A system dynamics approach","authors":"Samer Abaddi","doi":"10.1111/1477-8947.12452","DOIUrl":"https://doi.org/10.1111/1477-8947.12452","url":null,"abstract":"This study has developed a model that predicts the quantity of CO<sub>2</sub> emissions reduced and the adoption of e-Trucks until the year 2100 in Jordan. Using system dynamics software (Powersim) and business intelligence tools (Microsoft Power BI), the most significant factors affecting three modules: environment, government, and customer were examined. Twelve scenarios were modeled during the study (three factors and four cases for each factor). The factors were marketing effectiveness, environmental awareness, and government acquisition subsidy, and their values were (0.2, 0.3, 0.4, 0.5), (0.3, 0.4, 0.5, 0.6), and (500, 1500, 3000, 6000 Jordanian Dinar—JOD), respectively. Under normal conditions, with a marketing effectiveness of 0.2, environmental awareness of 0.3, and a subsidy of 500 JOD, the annual sales of e-Trucks and Conventional Fuel Trucks (CFT) will break-even in 2052 in Jordan. The cumulative CO<sub>2</sub> emissions reduction at the same year will be 6165.213 Tons. Among the three factors, marketing effectiveness was found to have the highest impact followed by the environmental awareness and last came the acquisition subsidy. Based on our findings, it is recommended that policymakers prioritize improving marketing efforts to accelerate the shift towards e-Trucks, raise environmental awareness among consumers, and provide subsidies for acquisition of e-Trucks in Jordan. Additionally, further research is needed to incorporate other factors, such as ICT infrastructure, technology maturity and other social factors that can affect the adoption of e-Trucks. The study's originality lies in its focus on e-Trucks, a relatively underexplored area in the sustainable transport literature, especially in the context of Jordan as many other emerging nations. The practical implications include leading the switch to e-Trucks, identifying infrastructural needs, and informing legislative choices. By analyzing long-term dynamics and encouraging the deployment of e-Trucks, it seeks to lower CO<sub>2</sub> emissions, enhance air quality, and promote a sustainable transportation system in Jordan.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"125 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322492","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 purpose of this study is to scrutinize the impact of natural resources, energy, and blue economic indicators on the ecological footprint of Saudi Arabia over the period from 1993 to 2022 by employing a nonlinear autoregressive distributed lag model. We have simulated the missing data using the Markov Chain Monte Carlo algorithm. The study encompasses the effects of post-Vision 2030 and post-COVID-19 policies and their assistance in minimizing the environmental footprint. The observed results determine that non-renewable energy consumption increases the ecological footprint, whereas natural resources and biocapacity drop the ecological footprints in the case of pre- and post-Vision 2030. For variable fisheries production, the post- and pre-Vision 2030 results demonstrate a boosted ecological footprint in Saudi Arabia, with the highest coefficient among all results. This research offers valuable insights into how Saudi Arabia's energy consumption and natural resource management impact its ecological footprint, highlighting the effectiveness of Vision 2030 and post-COVID policies in promoting environmental sustainability. The study's findings provide crucial guidance for policy making to reduce environmental impact while considering the role of fisheries and biocapacity in ecological balance. Based on empirical findings, this study commends some policy understandings that assist in being effectively implemented towards a sustainable environment.
{"title":"Importance of natural energy, and blue resources to address environmental challenges in view of the Saudi Vision 2030","authors":"Hussam Buzaid M. Bakoben, Mohd Saeed Khan","doi":"10.1111/1477-8947.12447","DOIUrl":"https://doi.org/10.1111/1477-8947.12447","url":null,"abstract":"The purpose of this study is to scrutinize the impact of natural resources, energy, and blue economic indicators on the ecological footprint of Saudi Arabia over the period from 1993 to 2022 by employing a nonlinear autoregressive distributed lag model. We have simulated the missing data using the Markov Chain Monte Carlo algorithm. The study encompasses the effects of post-Vision 2030 and post-COVID-19 policies and their assistance in minimizing the environmental footprint. The observed results determine that non-renewable energy consumption increases the ecological footprint, whereas natural resources and biocapacity drop the ecological footprints in the case of pre- and post-Vision 2030. For variable fisheries production, the post- and pre-Vision 2030 results demonstrate a boosted ecological footprint in Saudi Arabia, with the highest coefficient among all results. This research offers valuable insights into how Saudi Arabia's energy consumption and natural resource management impact its ecological footprint, highlighting the effectiveness of Vision 2030 and post-COVID policies in promoting environmental sustainability. The study's findings provide crucial guidance for policy making to reduce environmental impact while considering the role of fisheries and biocapacity in ecological balance. Based on empirical findings, this study commends some policy understandings that assist in being effectively implemented towards a sustainable environment.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"73 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322386","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}
Top oil importer countries produce large amounts of carbon emission and pollute soil and water, threatening sustainable development. Given this issue, this study examines the impact of solar energy consumption, wind energy consumption, and natural resources rent on the environmental conditions of the top five oil-importing countries (China, the United States, India, Japan, and South Korea) for the period 1997–2021. In this context, the study analyzes the validity of the environmental Kuznets curve and load capacity curve hypotheses for the top five oil-importing countries using the novel regularized common correlated effects method. The regularized common correlated effect results show that the environmental Kuznets curve and load capacity curve hypotheses are valid and that wind energy consumption supports environmental quality by helping to reduce carbon emissions and increase the load capacity factor. However, solar energy usage and natural resources rent have no impact on ecological quality. Based on these outcomes, the top five oil importers can provide a better environment for their societies by promoting wind energy consumption while taking environmental concerns into account.
{"title":"Testing the ecological effect of wind and solar energy consumption: A novel regularized common correlated effect approach for top oil-importing countries","authors":"Ugur Korkut Pata, Mustafa Tevfik Kartal","doi":"10.1111/1477-8947.12455","DOIUrl":"https://doi.org/10.1111/1477-8947.12455","url":null,"abstract":"Top oil importer countries produce large amounts of carbon emission and pollute soil and water, threatening sustainable development. Given this issue, this study examines the impact of solar energy consumption, wind energy consumption, and natural resources rent on the environmental conditions of the top five oil-importing countries (China, the United States, India, Japan, and South Korea) for the period 1997–2021. In this context, the study analyzes the validity of the environmental Kuznets curve and load capacity curve hypotheses for the top five oil-importing countries using the novel regularized common correlated effects method. The regularized common correlated effect results show that the environmental Kuznets curve and load capacity curve hypotheses are valid and that wind energy consumption supports environmental quality by helping to reduce carbon emissions and increase the load capacity factor. However, solar energy usage and natural resources rent have no impact on ecological quality. Based on these outcomes, the top five oil importers can provide a better environment for their societies by promoting wind energy consumption while taking environmental concerns into account.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"31 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322581","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}
Keeping aside the debate over whether resources are a burden or a blessing, the resource curse theory has been put to the test in the literature using several significant variables. The “resource curse” concept does emphasize the need for green financing, but sadly, this was not taken into account. Recently, due to strong environmental pressure, the need for green financing has been acknowledged. Keeping this in mind, it is crucial to consider how green finance might improve the use of natural resources to stimulate economic growth. Therefore, in this work, we explore the role of green financing, innovation, and economic complexity in the theory of the resource curse. The study used a Markov switching equilibrium correction model with shifts for the data from 2000 to 2019 in a Chinese context. Due to the overuse of natural resources, empirical data support the presence of the resource curse theory in China. The study's findings also support the favorable effects of innovation, the economic complexity index, and green finance on economic performance. In order to turn China's resource curse into a resource blessing, the study directs policymakers, government officials, and scholars toward theoretical and practical implications related to green finance and innovation.
{"title":"Can green finance be helpful in shifting from resource curse to resource blessing in China? Evidence from Markov switching equilibrium model","authors":"Chun Jiang, Yihan Qiu, Danish","doi":"10.1111/1477-8947.12436","DOIUrl":"https://doi.org/10.1111/1477-8947.12436","url":null,"abstract":"Keeping aside the debate over whether resources are a burden or a blessing, the resource curse theory has been put to the test in the literature using several significant variables. The “resource curse” concept does emphasize the need for green financing, but sadly, this was not taken into account. Recently, due to strong environmental pressure, the need for green financing has been acknowledged. Keeping this in mind, it is crucial to consider how green finance might improve the use of natural resources to stimulate economic growth. Therefore, in this work, we explore the role of green financing, innovation, and economic complexity in the theory of the resource curse. The study used a Markov switching equilibrium correction model with shifts for the data from 2000 to 2019 in a Chinese context. Due to the overuse of natural resources, empirical data support the presence of the resource curse theory in China. The study's findings also support the favorable effects of innovation, the economic complexity index, and green finance on economic performance. In order to turn China's resource curse into a resource blessing, the study directs policymakers, government officials, and scholars toward theoretical and practical implications related to green finance and innovation.","PeriodicalId":49777,"journal":{"name":"Natural Resources Forum","volume":"43 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140311801","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：