Pub Date : 2024-09-27DOI: 10.1016/j.sftr.2024.100322
Arif Santoso , Doddy Setiawan
This study aimed to examine the effects of gender, foreign Chief Executive Officer (CEO), and impression management on water disclosure, with ownership as a moderating variable. The study uses unbalanced data from 1,329 firm-year observations spanning 2018–2022. The results showed that women, foreign CEO, and impression management, increased water disclosure. Meanwhile, ownership reduced the relationship between CEO characteristics and water disclosure. This research established a causal effect between the two variables, supporting the Upper Echelons Theory. The robustness of the results was checked by changing the regression model, water disclosure measurement, impact of COVID-19, lagged regression, and heckman two-stage.
{"title":"CEO characteristics and water disclosure: Multi-country evidence","authors":"Arif Santoso , Doddy Setiawan","doi":"10.1016/j.sftr.2024.100322","DOIUrl":"10.1016/j.sftr.2024.100322","url":null,"abstract":"<div><div>This study aimed to examine the effects of gender, foreign Chief Executive Officer (CEO), and impression management on water disclosure, with ownership as a moderating variable. The study uses unbalanced data from 1,329 firm-year observations spanning 2018–2022. The results showed that women, foreign CEO, and impression management, increased water disclosure. Meanwhile, ownership reduced the relationship between CEO characteristics and water disclosure. This research established a causal effect between the two variables, supporting the Upper Echelons Theory. The robustness of the results was checked by changing the regression model, water disclosure measurement, impact of COVID-19, lagged regression, and heckman two-stage.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100322"},"PeriodicalIF":3.3,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-26DOI: 10.1016/j.sftr.2024.100321
Paolo Candio
Most SDG-inequality indices rely on a unidimensional design which cannot reflect how a given health outcome is distributed along the socio-economic spectrum. The concentration index can overcome this limitation. With an application to adult excess weight data, the concentration index was illustrated along with a decomposition method which allowed for key predictors to be identified. An Erreyger's concentration index and Shapley decomposition-based approach provide a relatively simple analytical tool to the monitoring of socio-economic inequalities in health. Such analytical approach should be considered as a monitoring tool by public managers to inform SDG policy and budgetary decisions.
{"title":"Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study","authors":"Paolo Candio","doi":"10.1016/j.sftr.2024.100321","DOIUrl":"10.1016/j.sftr.2024.100321","url":null,"abstract":"<div><div>Most SDG-inequality indices rely on a unidimensional design which cannot reflect how a given health outcome is distributed along the socio-economic spectrum. The concentration index can overcome this limitation. With an application to adult excess weight data, the concentration index was illustrated along with a decomposition method which allowed for key predictors to be identified. An Erreyger's concentration index and Shapley decomposition-based approach provide a relatively simple analytical tool to the monitoring of socio-economic inequalities in health. Such analytical approach should be considered as a monitoring tool by public managers to inform SDG policy and budgetary decisions.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100321"},"PeriodicalIF":3.3,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-25DOI: 10.1016/j.sftr.2024.100320
Oktay Özkan , Shek Ahmed , Mehmet Akif Destek
The switch from fossil fuels to renewable energy is at the center of the globally hunt for answers to climate change. However, each country's infrastructure and financial status are unique. The notion of energy transition is becoming more and more significant in this context, as it places emphasis on the efficiency of nations' energy systems and their readiness for the alterations in issue. Based on this, the study's goal is to look at how Turkey's political globalization and energy transition have affected the environment. In this context, the new quantile-quantile multivariate regression approach was used to examine the impacts on carbon emissions in a data set encompassing the period 1970–2020 of the innovative energy transition index, political globalization, economic development, and natural resource rents. This method makes it possible to analyze and verify the efficacy of the energy transition as well as the transition for varying emission levels. The energy transition lowers carbon emissions in all quantiles, according to the findings of the empirical assessments, although in high quantiles (high CO2 levels), the shift's pollution-reducing impact is more pronounced. Furthermore, the intermediate quantiles of carbon emissions are less affected by political globalization in terms of lowering emissions.
{"title":"Unearthing the importance of energy transition, political globalization, and natural resources on environmental degradation for Turkey: The role of economic growth and urbanization","authors":"Oktay Özkan , Shek Ahmed , Mehmet Akif Destek","doi":"10.1016/j.sftr.2024.100320","DOIUrl":"10.1016/j.sftr.2024.100320","url":null,"abstract":"<div><div>The switch from fossil fuels to renewable energy is at the center of the globally hunt for answers to climate change. However, each country's infrastructure and financial status are unique. The notion of energy transition is becoming more and more significant in this context, as it places emphasis on the efficiency of nations' energy systems and their readiness for the alterations in issue. Based on this, the study's goal is to look at how Turkey's political globalization and energy transition have affected the environment. In this context, the new quantile-quantile multivariate regression approach was used to examine the impacts on carbon emissions in a data set encompassing the period 1970–2020 of the innovative energy transition index, political globalization, economic development, and natural resource rents. This method makes it possible to analyze and verify the efficacy of the energy transition as well as the transition for varying emission levels. The energy transition lowers carbon emissions in all quantiles, according to the findings of the empirical assessments, although in high quantiles (high CO2 levels), the shift's pollution-reducing impact is more pronounced. Furthermore, the intermediate quantiles of carbon emissions are less affected by political globalization in terms of lowering emissions.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100320"},"PeriodicalIF":3.3,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-22DOI: 10.1016/j.sftr.2024.100316
Cong Doanh Duong, Thanh Tung Dao, Trong Nghia Vu, Thi Viet Nga Ngo, Minh Hoa Nguyen
Although the role of blockchain technology application in the organic food supply chain has been scholarly acknowledged, our understanding of how blockchain-enabled food traceability impacts consumer trust and purchase decisions is still limited. Adopting the lens from the stimulus-organism-response theory, this research draws a moderated mediation model to explore the direct and indirect impacts of blockchain-enabled food traceability system on organic food purchase behavior underlying a moderated mediation mechanism of blockchain knowledge and trust in the organic food chain. The PROCESS macro was approached using a purposive sample of 5,326 consumers in Vietnam to test the formulated hypotheses. The findings reveal that blockchain-enabled traceability significantly enhances trust in the organic food chain, which in turn positively influences organic food purchase behavior. Additionally, the study identifies blockchain knowledge as a crucial moderating factor, amplifying the direct and indirect effects of the traceability system on trust and purchase behavior. The study offers significant contributions to the literature by extending the application of the SOR model to technology-mediated environments and highlighting the role of consumer knowledge in moderating technology adoption outcomes. Some practical implications for practitioners are discussed.
尽管区块链技术应用在有机食品供应链中的作用已得到学术界的认可，但我们对区块链食品溯源系统如何影响消费者信任和购买决策的理解仍然有限。本研究从刺激-机体-反应理论的视角出发，通过区块链知识与有机食品链信任的调节中介机制，建立调节中介模型，探讨区块链食品溯源系统对有机食品购买行为的直接和间接影响。为了验证所提出的假设，我们使用了一个由越南 5326 名消费者组成的目的性样本，对 "过程"（PROCESS）宏观模型进行了研究。研究结果表明，区块链支持的可追溯性显著增强了人们对有机食品链的信任，进而对有机食品购买行为产生积极影响。此外，研究还发现，区块链知识是一个重要的调节因素，可以放大可追溯系统对信任和购买行为的直接和间接影响。本研究将 SOR 模型的应用扩展到了以技术为媒介的环境中，并强调了消费者知识在调节技术采用结果中的作用，从而为相关文献做出了重要贡献。研究还讨论了对从业人员的一些实际影响。
{"title":"Blockchain-enabled food traceability system and consumers’ organic food consumption: A moderated mediation model of blockchain knowledge and trust in the organic food chain","authors":"Cong Doanh Duong, Thanh Tung Dao, Trong Nghia Vu, Thi Viet Nga Ngo, Minh Hoa Nguyen","doi":"10.1016/j.sftr.2024.100316","DOIUrl":"10.1016/j.sftr.2024.100316","url":null,"abstract":"<div><div>Although the role of blockchain technology application in the organic food supply chain has been scholarly acknowledged, our understanding of how blockchain-enabled food traceability impacts consumer trust and purchase decisions is still limited. Adopting the lens from the stimulus-organism-response theory, this research draws a moderated mediation model to explore the direct and indirect impacts of blockchain-enabled food traceability system on organic food purchase behavior underlying a moderated mediation mechanism of blockchain knowledge and trust in the organic food chain. The PROCESS macro was approached using a purposive sample of 5,326 consumers in Vietnam to test the formulated hypotheses. The findings reveal that blockchain-enabled traceability significantly enhances trust in the organic food chain, which in turn positively influences organic food purchase behavior. Additionally, the study identifies blockchain knowledge as a crucial moderating factor, amplifying the direct and indirect effects of the traceability system on trust and purchase behavior. The study offers significant contributions to the literature by extending the application of the SOR model to technology-mediated environments and highlighting the role of consumer knowledge in moderating technology adoption outcomes. Some practical implications for practitioners are discussed.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100316"},"PeriodicalIF":3.3,"publicationDate":"2024-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-21DOI: 10.1016/j.sftr.2024.100314
Zahra Azarnoosh , Sina Fard Moradinia , Babak Golchin , Rasoul Jani
The higher initial cost of EVs compared to gasoline-powered vehicles can hinder their widespread adoption in various markets. This study aims to evaluate the factors influencing EV adoption or rejection in a developing nation by examining the economic and environmental implications of integrating EVs into Tehran's transportation system. Using a system dynamics approach, the research incorporated a range of elements, including private and public transport, fuel consumption, and environmental costs. Based on this model, causal loop and stock-flow diagrams were developed. Model simulation was conducted, and its validity was carefully controlled. Different scenarios were then generated for incorporating EVs into Tehran's transportation system. The simulations demonstrated that integrating EVs into the taxi fleet is economically advantageous as it offsets the annual purchase and charging station expenses. This scenario led to a 0.2 % decrease in urban costs. Conversely, introducing EVs for private transportation resulted in a 1.9 % increase in overall transportation system costs. Therefore, for cities like Tehran, prioritizing EV adoption in the taxi fleet is a more favorable strategy to balance economic and environmental benefits. This model provides valuable insights for developing countries considering EV adoption, highlighting the economic and environmental ramifications across various sectors.
{"title":"Economic and environmental analysis of EVs' in urban transportation using system dynamics","authors":"Zahra Azarnoosh , Sina Fard Moradinia , Babak Golchin , Rasoul Jani","doi":"10.1016/j.sftr.2024.100314","DOIUrl":"10.1016/j.sftr.2024.100314","url":null,"abstract":"<div><div>The higher initial cost of EVs compared to gasoline-powered vehicles can hinder their widespread adoption in various markets. This study aims to evaluate the factors influencing EV adoption or rejection in a developing nation by examining the economic and environmental implications of integrating EVs into Tehran's transportation system. Using a system dynamics approach, the research incorporated a range of elements, including private and public transport, fuel consumption, and environmental costs. Based on this model, causal loop and stock-flow diagrams were developed. Model simulation was conducted, and its validity was carefully controlled. Different scenarios were then generated for incorporating EVs into Tehran's transportation system. The simulations demonstrated that integrating EVs into the taxi fleet is economically advantageous as it offsets the annual purchase and charging station expenses. This scenario led to a 0.2 % decrease in urban costs. Conversely, introducing EVs for private transportation resulted in a 1.9 % increase in overall transportation system costs. Therefore, for cities like Tehran, prioritizing EV adoption in the taxi fleet is a more favorable strategy to balance economic and environmental benefits. This model provides valuable insights for developing countries considering EV adoption, highlighting the economic and environmental ramifications across various sectors.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100314"},"PeriodicalIF":3.3,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142324086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-21DOI: 10.1016/j.sftr.2024.100315
Mduduzi Biyase, Frederich Kirsten, Sandile Mbatha, Bereket Ataro
The remittance-carbon dioxide () emissions nexus remains a hotly debated topic in the literature, with the majority of studies offering mixed conclusions. This study attempts to reconcile these disparities by investigating the nonlinear effect of remittances on the emissions in top-remittance receiving countries in Southern African Customs Union (SACU) region, using the modified Environmental Kuznets Curve framework which focuses on the effect that remittances might have on emissions. The Cross-Sectional Autoregressive Distributed Lag (CS-ADRL) approach is applied to these top-remittance receiving countries from 1990 to 2020, representing a pioneering investigation for these countries. The finding of this study reveal that both the estimated coefficient of remittances and its quadratic term are statistically significant, with remittances displaying a positive coefficient and the quadratic term exhibiting a negative coefficient. This pattern confirms the presence of a modified EKC hypothesis, meaning as remittances increases, levels displays an unambiguous inverted U-shaped trajectory.
{"title":"Remittance and carbon dioxide emissions in the Southern African Customs Union region: Is there a modified environmental Kuznets curve?","authors":"Mduduzi Biyase, Frederich Kirsten, Sandile Mbatha, Bereket Ataro","doi":"10.1016/j.sftr.2024.100315","DOIUrl":"10.1016/j.sftr.2024.100315","url":null,"abstract":"<div><div>The remittance-carbon dioxide (<span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>) emissions nexus remains a hotly debated topic in the literature, with the majority of studies offering mixed conclusions. This study attempts to reconcile these disparities by investigating the nonlinear effect of remittances on the <span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> emissions in top-remittance receiving countries in Southern African Customs Union (SACU) region, using the modified Environmental Kuznets Curve framework which focuses on the effect that remittances might have on <span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub><mspace></mspace></mrow></math></span>emissions. The Cross-Sectional Autoregressive Distributed Lag (CS-ADRL) approach is applied to these top-remittance receiving countries from 1990 to 2020, representing a pioneering investigation for these countries. The finding of this study reveal that both the estimated coefficient of remittances and its quadratic term are statistically significant, with remittances displaying a positive coefficient and the quadratic term exhibiting a negative coefficient. This pattern confirms the presence of a modified EKC hypothesis, meaning as remittances increases, <span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> levels displays an unambiguous inverted U-shaped trajectory.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100315"},"PeriodicalIF":3.3,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-21DOI: 10.1016/j.sftr.2024.100317
Mohd Shahidan Shaari , Noorazeela Zainol Abidin , Miguel Angel Esquivias , Mohd Juraij Abd Rani , Temitayo Blessing Majekodunmi , Amri Sulong
The rise in global temperatures, driven by increased CO2 levels, is a pressing concern. Developing nations like Malaysia face challenges in transitioning to cleaner energy due to resource constraints, making natural gas a crucial transitional solution. This study introduces the Fuel Switch Variable to analyze the impact of shifting fuel consumption patterns on CO2. Using data from 1980 to 2020 and the ARDL model, findings show that policies promoting natural gas over oil and coal reduce CO2 emissions, while economic and population growth increase emissions. Policymakers should incentivize fuel switching, enforce energy efficiency standards, and invest in new technologies.
{"title":"Analyzing the environmental impact of fuel switching: Evidence from ARDL analysis for policy considerations","authors":"Mohd Shahidan Shaari , Noorazeela Zainol Abidin , Miguel Angel Esquivias , Mohd Juraij Abd Rani , Temitayo Blessing Majekodunmi , Amri Sulong","doi":"10.1016/j.sftr.2024.100317","DOIUrl":"10.1016/j.sftr.2024.100317","url":null,"abstract":"<div><div>The rise in global temperatures, driven by increased CO2 levels, is a pressing concern. Developing nations like Malaysia face challenges in transitioning to cleaner energy due to resource constraints, making natural gas a crucial transitional solution. This study introduces the Fuel Switch Variable to analyze the impact of shifting fuel consumption patterns on CO2. Using data from 1980 to 2020 and the ARDL model, findings show that policies promoting natural gas over oil and coal reduce CO2 emissions, while economic and population growth increase emissions. Policymakers should incentivize fuel switching, enforce energy efficiency standards, and invest in new technologies.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100317"},"PeriodicalIF":3.3,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1016/j.sftr.2024.100313
Marco Guerrieri, Masoud Khanmohamadi
Urban traffic congestion poses a significant challenge, impacting both economic efficiency and environmental sustainability. Roundabouts, recognized for their ability to improve traffic flow and reduce collisions, have become a focal point in traffic management strategies in urban areas. Different types and sizes of single and multi-lane roundabouts can be used, including conventional and innovative roundabouts with small, medium or large size diameters. Many optimization models are available for designing conventional roundabouts but not large roundabouts. To partially cover this gap, the present paper introduces a novel approach integrating simulation-based analysis with a goal programming method to optimize large roundabout design. By leveraging advanced traffic simulation tools like AIMSUN Next and Surrogate Safety Assessment Models (SSAMs), this methodology evaluates multiple design scenarios to enhance traffic flow, safety, and environmental performance. A case study of a complex large roundabout in the Italian greenest and sustainable city demonstrates the efficacy of this methodological approach. The findings provide valuable insights for traffic and highway engineers, emphasizing a data-driven, holistic approach to sustainable traffic management and roundabout optimization.
城市交通拥堵是一项重大挑战，对经济效益和环境可持续性都有影响。环岛因其改善交通流量和减少碰撞的能力而得到认可，已成为城市地区交通管理战略的重点。单车道和多车道环岛的类型和尺寸各不相同，包括小、中、大直径的传统型和创新型环岛。许多优化模型可用于设计传统环岛，但大型环岛却无法使用。为了部分弥补这一不足，本文介绍了一种新方法，将基于仿真的分析与目标编程方法相结合，以优化大型环岛的设计。通过利用先进的交通仿真工具（如 AIMSUN Next 和替代安全评估模型 (SSAMs)），该方法评估了多种设计方案，以提高交通流量、安全性和环境性能。通过对意大利最环保和可持续发展城市中一个复杂的大型环岛进行案例研究，证明了这种方法的有效性。研究结果为交通和公路工程师提供了宝贵的见解，强调了可持续交通管理和环岛优化的数据驱动型整体方法。
{"title":"A multi-objective method for large multi-lane roundabout design through microscopic traffic simulation and SSAM analysis","authors":"Marco Guerrieri, Masoud Khanmohamadi","doi":"10.1016/j.sftr.2024.100313","DOIUrl":"10.1016/j.sftr.2024.100313","url":null,"abstract":"<div><div>Urban traffic congestion poses a significant challenge, impacting both economic efficiency and environmental sustainability. Roundabouts, recognized for their ability to improve traffic flow and reduce collisions, have become a focal point in traffic management strategies in urban areas. Different types and sizes of single and multi-lane roundabouts can be used, including conventional and innovative roundabouts with small, medium or large size diameters. Many optimization models are available for designing conventional roundabouts but not large roundabouts. To partially cover this gap, the present paper introduces a novel approach integrating simulation-based analysis with a goal programming method to optimize large roundabout design. By leveraging advanced traffic simulation tools like AIMSUN Next and Surrogate Safety Assessment Models (SSAMs), this methodology evaluates multiple design scenarios to enhance traffic flow, safety, and environmental performance. A case study of a complex large roundabout in the Italian greenest and sustainable city demonstrates the efficacy of this methodological approach. The findings provide valuable insights for traffic and highway engineers, emphasizing a data-driven, holistic approach to sustainable traffic management and roundabout optimization.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100313"},"PeriodicalIF":3.3,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1016/j.sftr.2024.100310
Yawen Deng , Yaqi Wang , Mingliang Tan , Liying Liu
Excessive food waste contributes to the greenhouse effect. Although low-carbon technology has the potential to reduce carbon emissions and generate renewable energy, the high costs may deter the adoption. To promote low-carbon food waste treatment, local authorities could develop carbon reduction policies targeted at the food waste treatment industry, which could lead to a game between local authorities and food waste treatment enterprises. Hence, a bi-level multi-objective optimization model is put forward to balance the decisions of local authorities and those of food waste treatment enterprises. Enterprises can choose which carbon reduction policies to implement, and local authorities determine the intensity of specific policies. After testing this model on Shenzhen’s food waste treatment system, the model’s validity and feasibility were confirmed. It was discovered that by identifying suitable carbon reduction policies, the model can help enterprises achieve more than 50 % carbon reduction. Moreover, different enterprises may choose different carbon reduction policies to implement. Optimal food waste disposal arrangements need flexible adjustments. The constructed model can serve as a decision-making tool for city managers to reduce carbon emissions in food waste treatment.
{"title":"A bi-level multi-objective optimization approach for carbon policy formulation towards food waste resource treatment from environmental, energy and economic perspectives","authors":"Yawen Deng , Yaqi Wang , Mingliang Tan , Liying Liu","doi":"10.1016/j.sftr.2024.100310","DOIUrl":"10.1016/j.sftr.2024.100310","url":null,"abstract":"<div><div>Excessive food waste contributes to the greenhouse effect. Although low-carbon technology has the potential to reduce carbon emissions and generate renewable energy, the high costs may deter the adoption. To promote low-carbon food waste treatment, local authorities could develop carbon reduction policies targeted at the food waste treatment industry, which could lead to a game between local authorities and food waste treatment enterprises. Hence, a bi-level multi-objective optimization model is put forward to balance the decisions of local authorities and those of food waste treatment enterprises. Enterprises can choose which carbon reduction policies to implement, and local authorities determine the intensity of specific policies. After testing this model on Shenzhen’s food waste treatment system, the model’s validity and feasibility were confirmed. It was discovered that by identifying suitable carbon reduction policies, the model can help enterprises achieve more than 50 % carbon reduction. Moreover, different enterprises may choose different carbon reduction policies to implement. Optimal food waste disposal arrangements need flexible adjustments. The constructed model can serve as a decision-making tool for city managers to reduce carbon emissions in food waste treatment.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"8 ","pages":"Article 100310"},"PeriodicalIF":3.3,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266618882400159X/pdfft?md5=4d9af55b55a169f6b296787b4a10fa30&pid=1-s2.0-S266618882400159X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1016/j.sftr.2024.100312
Jiayin Meng , Zhen Ye , Ying Wang
Financing and investing in sustainable infrastructure play a pivotal role in achieving the United Nations Sustainable Development Goals, particularly considering their multifaceted benefits to the environment, society, and economy. This systematic literature review applies the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to explore the financing and investment aspects of sustainable infrastructure. With support of a comprehensive collection of 4,308 publications dated from 2009 to 2023, we analyse various types of sustainable infrastructure and their investment and financing strategies by employing bibliometric analysis on 74 most closely related journal articles in a network approach setting. Results show the growing significance of green finance as a central research theme and a prevailing trend within this domain. Drawing upon these findings, we propose a conceptual framework for the integration of green finance into sustainable infrastructure development, offering insights to policy makers and guide future research agendas aimed at advancing green finance in infrastructure sectors.
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