Sustainable Futures最新文献

英文中文

CEO characteristics and water disclosure: Multi-country evidence 首席执行官特征与水信息披露：多国证据

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-27 DOI: 10.1016/j.sftr.2024.100322

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.

本研究旨在考察性别、外籍首席执行官（CEO）和印象管理对水信息披露的影响，并将所有权作为调节变量。研究使用了 2018-2022 年间 1329 个公司年度观测值的非平衡数据。结果显示，女性、外国首席执行官和印象管理增加了水信息披露。同时，所有权降低了首席执行官特征与水信息披露之间的关系。这项研究确定了这两个变量之间的因果效应，支持了上层理论。通过改变回归模型、水信息披露度量、COVID-19 的影响、滞后回归和赫克曼两阶段检验了结果的稳健性。

引用次数: 0

Accounting for socio-economic inequalities in health to inform SDG decision making: A proof-of-concept study 计算健康方面的社会经济不平等，为可持续发展目标决策提供信息：概念验证研究

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-26 DOI: 10.1016/j.sftr.2024.100321

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.

大多数可持续发展目标不平等指数依赖于单维度设计，无法反映特定健康结果在社会经济领域的分布情况。集中指数可以克服这一局限性。通过对成人超重数据的应用，集中指数和分解方法得到了说明，从而确定了关键的预测因素。埃雷格浓度指数和基于沙普利分解的方法为监测社会经济健康不平等提供了一个相对简单的分析工具。公共管理人员应将这种分析方法视为一种监测工具，为可持续发展目标政策和预算决策提供信息。

引用次数: 0

Unearthing the importance of energy transition, political globalization, and natural resources on environmental degradation for Turkey: The role of economic growth and urbanization 揭示能源转型、政治全球化和自然资源对土耳其环境退化的重要影响：经济增长和城市化的作用

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-25 DOI: 10.1016/j.sftr.2024.100320

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.

从化石燃料转向可再生能源是全球寻求气候变化解决方案的核心。然而，每个国家的基础设施和财政状况都各不相同。在此背景下，能源转型的概念正变得越来越重要，因为它强调的是国家能源系统的效率及其对改变问题的准备程度。在此基础上，本研究的目标是探讨土耳其的政治全球化和能源转型如何影响环境。在此背景下，我们采用了新的量化-量化多元回归方法，以研究 1970-2020 年间创新能源转型指数、政治全球化、经济发展和自然资源租金对碳排放的影响。这种方法可以分析和验证能源转型的效果以及不同排放水平下的转型。根据实证评估的结果，能源转型降低了所有量级的碳排放，不过在高量级（高二氧化碳水平），转型的污染减排效果更为明显。此外，就降低排放量而言，碳排放量的中间量级受政治全球化的影响较小。

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引用次数: 0

Blockchain-enabled food traceability system and consumers’ organic food consumption: A moderated mediation model of blockchain knowledge and trust in the organic food chain 区块链食品溯源系统与消费者的有机食品消费：区块链知识与有机食品链信任的中介模型

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-22 DOI: 10.1016/j.sftr.2024.100316

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。

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引用次数: 0

Economic and environmental analysis of EVs' in urban transportation using system dynamics 利用系统动力学对电动汽车在城市交通中的应用进行经济和环境分析

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-21 DOI: 10.1016/j.sftr.2024.100314

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.

与汽油动力汽车相比，电动汽车的初始成本较高，这可能会阻碍其在各个市场的广泛应用。本研究旨在通过考察将电动汽车纳入德黑兰交通系统的经济和环境影响，评估影响发展中国家采用或拒绝电动汽车的因素。研究采用系统动力学方法，纳入了一系列要素，包括私人和公共交通、燃料消耗和环境成本。在此模型的基础上，绘制了因果循环图和库存流图。对模型进行了模拟，并对其有效性进行了严格控制。然后生成了将电动汽车纳入德黑兰交通系统的不同方案。模拟结果表明，将电动汽车纳入出租车队在经济上是有利的，因为它可以抵消每年的购买和充电站费用。这一方案使城市成本降低了 0.2%。相反，将电动汽车引入私人交通则会导致整个交通系统成本增加 1.9%。因此，对于德黑兰这样的城市来说，在出租车队中优先采用电动汽车是平衡经济和环境效益的更有利策略。该模型为考虑采用电动汽车的发展中国家提供了宝贵的见解，突出了各部门的经济和环境影响。

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引用次数: 0

Remittance and carbon dioxide emissions in the Southern African Customs Union region: Is there a modified environmental Kuznets curve? 南部非洲关税同盟地区的汇款和二氧化碳排放：是否存在修正的环境库兹涅茨曲线？

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-21 DOI: 10.1016/j.sftr.2024.100315

The remittance-carbon dioxide (

C O_{2}

) 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

C O_{2}

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

C O_{2}

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,

C O_{2}

levels displays an unambiguous inverted U-shaped trajectory.

汇款与二氧化碳（CO2）排放之间的关系仍然是文献中争论的热点，大多数研究得出的结论不一。本研究采用修正的环境库兹涅茨曲线（Environmental Kuznets Curve）框架，调查了汇款对南部非洲关税同盟（SACU）地区主要汇款接收国二氧化碳排放的非线性影响，重点研究汇款可能对二氧化碳排放产生的影响，试图调和这些差异。横截面自回归分布滞后（CS-ADRL）方法适用于 1990 年至 2020 年期间这些汇款最多的国家，这是对这些国家进行的一项开创性调查。研究结果表明，汇款及其二次项的估计系数在统计意义上都是显著的，汇款的系数为正，二次项的系数为负。这一模式证实了修正的 EKC 假设的存在，即随着汇款的增加，二氧化碳水平呈现出明确的倒 U 型轨迹。

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引用次数: 0

Analyzing the environmental impact of fuel switching: Evidence from ARDL analysis for policy considerations 分析燃料转换对环境的影响：ARDL 分析为政策考虑提供的证据

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-21 DOI: 10.1016/j.sftr.2024.100317

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.

二氧化碳含量的增加导致全球气温上升，这是一个亟待解决的问题。由于资源限制，马来西亚等发展中国家在过渡到清洁能源方面面临挑战，因此天然气成为重要的过渡解决方案。本研究引入了燃料转换变量，以分析燃料消费模式的转变对二氧化碳的影响。利用 1980 年至 2020 年的数据和 ARDL 模型，研究结果表明，相对于石油和煤炭，推广天然气的政策减少了二氧化碳排放量，而经济和人口增长则增加了排放量。政策制定者应激励燃料转换、执行能效标准并投资于新技术。

引用次数: 0

A multi-objective method for large multi-lane roundabout design through microscopic traffic simulation and SSAM analysis 通过微观交通模拟和 SSAM 分析进行大型多车道环岛设计的多目标方法

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-20 DOI: 10.1016/j.sftr.2024.100313

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。

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引用次数: 0

Financing and investing in sustainable infrastructure: A review and research agenda 可持续基础设施的融资和投资：回顾与研究议程

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-19 DOI: 10.1016/j.sftr.2024.100312

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.

可持续基础设施的融资和投资在实现联合国可持续发展目标方面发挥着关键作用，特别是考虑到其对环境、社会和经济的多方面益处。本系统性文献综述采用系统性综述和元分析首选报告项目（PRISMA）方法，探讨了可持续基础设施的融资和投资问题。在 2009 年至 2023 年期间发表的 4,308 篇论文的全面支持下，我们采用网络方法对 74 篇最密切相关的期刊论文进行文献计量分析，分析了各种类型的可持续基础设施及其投融资策略。结果表明，绿色金融作为该领域的核心研究课题和主流趋势，其重要性与日俱增。根据这些研究结果，我们提出了将绿色金融融入可持续基础设施发展的概念框架，为政策制定者提供见解，并指导未来旨在推进基础设施部门绿色金融的研究议程。

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引用次数: 0

A bi-level multi-objective optimization approach for carbon policy formulation towards food waste resource treatment from environmental, energy and economic perspectives 从环境、能源和经济角度制定餐厨垃圾资源化碳政策的双层多目标优化方法

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2024-09-19 DOI: 10.1016/j.sftr.2024.100310

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.

过多的食物浪费会加剧温室效应。虽然低碳技术具有减少碳排放和产生可再生能源的潜力，但高昂的成本可能阻碍其采用。为了促进低碳厨余处理，地方政府可以制定针对厨余处理行业的碳减排政策，这可能会导致地方政府与厨余处理企业之间的博弈。因此，本文提出了一个双层多目标优化模型，以平衡地方政府和餐厨垃圾处理企业的决策。企业可以选择实施哪些碳减排政策，而地方政府则决定具体政策的力度。在对深圳市餐厨垃圾处理系统进行测试后，证实了该模型的有效性和可行性。研究发现，通过确定合适的碳减排政策，该模型可以帮助企业实现 50% 以上的碳减排量。此外，不同企业可选择不同的减碳政策。最佳厨余处理安排需要灵活调整。所构建的模型可作为城市管理者在餐厨垃圾处理过程中减少碳排放的决策工具。

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