Sustainable Futures最新文献

英文中文

Explaining the transmission mechanism of social-ecological systems adaptive cycling on path dependency in resource-based cities: Evidence from Shanxi Province, China 资源型城市社会生态系统适应性循环对路径依赖的传导机制——来自山西省的证据

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-19 DOI: 10.1016/j.sftr.2025.100449

Min Wang , Kongtao Qin , Jinxuan Li , Shuqi Yang

Path dependence has resulted in industrial structure solidification, social structure convergence, and insufficient power for transformation and innovation in resource-based cities, which is the root cause of these cities falling into a locked state. For a long time, many theoretical insights and concepts have been generated from research on the phenomenon of path dependence in resource-based cities and resolve strategies. However, research on the factors causing the ‘resource curse’ in process and their transmission mechanisms remain incomplete. In particular, the value of the social-ecological systems’ mechanism in enhancing resilience requires further emphasis. In this paper, the adaptive cyclic evolution characteristics of the social-ecological systems in Shanxi Province were examined based on the implementation of industrial green transformation policies from 2006 to 2020, and the limiting factors and transmission mechanisms were identified. The results indicated that industrial transformation policies significantly enhance potential and resilience. In contrast, investment in social and human capital, technological innovation, social infrastructure, urban cultural values, and service capacity promote advancement in the adaptive cycle. Furthermore, based on differences in the timing of these advancements, resource-based cities were categorized into development-stopping, normal development, and leapfrog development. We conclude with some strategies, including improving social infrastructure, raising scientific and technological standards, narrowing the urban-rural divide, and enhancing the value of historical and cultural resources, to break the path dependence and move towards sustainable development.

路径依赖导致资源型城市产业结构固化、社会结构趋同、转型创新动力不足，是资源型城市陷入锁定状态的根本原因。长期以来，对资源型城市路径依赖现象和解决策略的研究产生了许多理论见解和概念。然而，对“资源诅咒”产生的因素及其传导机制的研究尚不完整。特别是，社会生态系统机制在增强复原力方面的价值需要进一步强调。基于2006 - 2020年产业绿色转型政策的实施，研究了山西省社会生态系统的适应性循环演化特征，并对其限制因素和传导机制进行了分析。结果表明，产业转型政策显著增强了潜力和弹性。相反，对社会和人力资本、技术创新、社会基础设施、城市文化价值和服务能力的投资促进了适应周期的推进。此外，根据这些发展的时间差异，资源型城市被分为发展停止型、正常发展型和跨越式发展型。最后提出了改善社会基础设施、提高科技水平、缩小城乡差距、提升历史文化资源价值等对策，以期打破路径依赖，走向可持续发展。

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引用次数: 0

Impact of cutting-edge hybrid electric vehicle technological innovation on carbon emissions in China 前沿混合动力汽车技术创新对中国碳排放的影响

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-17 DOI: 10.1016/j.sftr.2025.100447

Xiang Zhang , Xiaoyang Cui

This study explores the impact of hybrid electric vehicle technology innovation on China's carbon emissions (CO₂e). Using Fully Modified Ordinary Least Squares and Dynamic Ordinary Least Squares, our econometric analysis shows that a 1 % increase in IHEVTs corresponds to a 0.17 % reduction in CO₂e. In comparison, a 1 % increase in the green digital economy is associated with a 0.31 % decrease in CO₂e. This emphasizes the role of innovation and digitalization in emission control. Expansionary fiscal policies and GDP growth boost CO₂e by 0.34 % and 0.31 %, respectively, underscoring the environmental impact of economic expansion. Conversely, contractionary fiscal policies and renewable energy consumption lead to CO₂e declines of 0.46 % and 0.31 %, highlighting the importance of prudent policies. These findings demonstrate the synergistic impact of technological innovation and policy on China's emissions, providing essential perspectives for achieving long-term growth.

本研究探讨混合动力汽车技术创新对中国碳排放（CO2e）的影响。使用完全修正的普通最小二乘和动态普通最小二乘，我们的计量经济学分析表明，IHEVTs增加1%对应于二氧化碳当量减少0.17%。相比之下，绿色数字经济每增长1%，二氧化碳当量就会减少0.31%。这强调了创新和数字化在排放控制中的作用。扩张性财政政策和GDP增长分别使二氧化碳排放量增加0.34%和0.31%，凸显了经济扩张对环境的影响。相反，紧缩财政政策和可再生能源消费导致二氧化碳当量下降0.46%和0.31%，突出了审慎政策的重要性。这些发现证明了技术创新和政策对中国排放的协同影响，为实现长期增长提供了重要视角。

引用次数: 0

Agricultural waste recycling by farmers: A behavioral study 农民农业废弃物回收：一项行为研究

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-17 DOI: 10.1016/j.sftr.2025.100443

Pouria Ataei , Hamid Karimi , Zeynab Hallaj , Meysam Menatizadeh

Agricultural waste recycling is one of the principles of environmental sustainability that is directly associated with farmers’ behavior. In other words, if a farmer decides to recycle her farm wastes, she is moving towards sustainable agriculture goals. This research aimed to explore farmers’ behavioral process for agricultural waste recycling based on the Comprehensive Action Determination Model (CADM). This research was done among farmers in Sistan and Baluchistan province, Iran (N = 6000). The study sample included 361 farmers selected by stratified randomization. The measurement instrument was a self-designed questionnaire. The collected data were analyzed in the SPSS₂₆ and AMOS₂₄ software suites. The results of structural equation modeling (SEM) revealed that farmers’ attitude, social norms, control of subjective constraints, control of objective constraints, and personal norms influenced their intention for agricultural waste recycling significantly. It can be concluded that CADM is a robust instrument for predicting farmers’ behavioral process for agricultural waste recycling, and policymakers and officials of the agricultural sector can use it to enhance farmers’ decision process.

农业废弃物循环利用是环境可持续性原则之一，与农民的行为直接相关。换句话说，如果一个农民决定回收她的农场废物，她正在朝着可持续农业的目标迈进。本研究基于综合行动决策模型（Comprehensive Action decision Model， CADM），探讨农户农业废弃物回收利用的行为过程。本研究在伊朗锡斯坦和俾路支省的农民中进行（N = 6000）。研究样本采用分层随机法选取361名农民。测量工具为自行设计的问卷。收集的数据在SPSS26和AMOS24软件套件中进行分析。结构方程模型（SEM）结果显示，农民的态度、社会规范、主观约束控制、客观约束控制和个人规范对农业废弃物回收意愿有显著影响。研究表明，CADM是预测农民农业废弃物回收行为过程的有力工具，农业部门的决策者和官员可以利用它来提高农民的决策过程。

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引用次数: 0

Unlocking the metaverse: Determinants of voluntary adoption in e-commerce 解锁虚拟世界：电子商务中自愿采用的决定因素

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-16 DOI: 10.1016/j.sftr.2025.100436

Radka Bauerová, Michal Halaška

Acceptance hinges on various conditions, influenced by purpose. Different purposes dictate user acceptance factors. Some relate to professional necessity, others to personal tech adoption. This study focusses on voluntary metaverse adoption for product purchase and discerning determinants. The aim of this research is to explore and delineate the determinants that shape the intention to use the metaverse, with a focus on voluntary adoption for product purchase. Using a questionnaire, the study collected primary data from 508 respondents after meticulous data cleaning. Structural equation modelling tested the proposed model, revealing the determinants driving metaverse purchase intent. An artificial neural network probed complex relationships. The results show an indirect impact of Avatar options and virtual economy, with Attitude and Marketing communication and data collection directly influencing. In addition, trust and responsibility, along with security and privacy, emerged as moderating factors in certain relationships. The study emphasises marketing's strong impact on metaverse purchase intention, indicating significant corporate-consumer potential. Additionally, avatar display options emerged as the second strongest determinant, underscoring users' desire for extensive avatar customisation as a channel for self-expression.

接受取决于各种条件，受目的的影响。不同的用途决定了用户的接受程度。一些与职业需要有关，另一些与个人技术采用有关。本研究的重点是产品购买和辨别决定因素的自愿meta采用。本研究的目的是探索和描述塑造使用元宇宙的意图的决定因素，重点是产品购买的自愿采用。本研究采用问卷调查的方式，经过细致的数据清理，收集了508名受访者的原始数据。结构方程模型测试了提出的模型，揭示了驱动元购买意图的决定因素。人工神经网络探测复杂关系。结果表明，虚拟形象选择与虚拟经济之间存在间接影响，而态度、营销传播和数据收集对虚拟经济的影响最为直接。此外，信任和责任，以及安全和隐私，在某些关系中成为调节因素。研究强调了市场营销对虚拟购买意愿的强烈影响，表明了企业消费者的巨大潜力。此外，角色显示选项是第二大决定因素，强调了用户对广泛定制角色作为自我表达渠道的渴望。

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引用次数: 0

Environmental tax reform roles and strategies of local governments: A quasi-natural experiment from China 地方政府环境税改革的角色与策略：来自中国的准自然实验

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-15 DOI: 10.1016/j.sftr.2025.100453

Tianyang Chu

Whether environmental tax reform can drive green economic transformation is closely related to local government behavior. This study examines the impact of environmental tax reform on local governments using panel data for 247 Chinese prefecture-level cities from 2011 to 2021 and the difference-in-differences method. It finds that environmental tax reform leads local governments to increase environmental supervision and fiscal technology expenditure. A mechanism analysis shows that environmental tax reform increases local governments’ motivation to promote green innovation through target adjustments and public environmental demands. Heterogeneity analyses indicate that environmental tax reform has a stronger effect on increasing environmental supervision and fiscal technology expenditure in high-growth- and high-environmental-pressure cities, and northern cities. Expansion analyses show that although environmental tax reform inhibits overall market segmentation, it is more significant in southern cities and insignificant in northern cities. Finally, with active local government cooperation, environmental tax reform could reduce pollution emissions and promote green economic transformation.

环保税改革能否推动绿色经济转型，与地方政府行为密切相关。本研究采用2011 - 2021年247个地级市的面板数据，运用差中差法检验了环境税改革对地方政府的影响。研究发现，环境税改革导致地方政府加大环境监管和财政技术支出。机制分析表明，环境税改革通过目标调整和公众环境需求增强了地方政府推动绿色创新的动力。异质性分析表明，在高增长、高环境压力城市和北方城市，环境税改革对增加环境监管和财政技术支出的影响更大。扩展分析表明，虽然环境税改革抑制了整体市场细分，但在南方城市更为显著，在北方城市不显著。最后，在地方政府积极配合下，环境税改革可以减少污染排放，促进绿色经济转型。

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引用次数: 0

Equitable technology development: A framework and methods for scientists and engineers 公平的技术发展：科学家和工程师的框架和方法

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-15 DOI: 10.1016/j.sftr.2025.100451

Jonathan Ensor , Steven Johnson , Daniel Vorbach , James Moir

Equity requires a rethinking of the processes and methods that applied scientists and engineers work through as they develop solutions that are simultaneously technical and social. By bridging insights from science and technology studies with critical analysis of participatory development practice, we propose a framework for understanding equitable technology development. We explore this through an illustrative case of water monitoring technology development, undertaken with scientists, engineers and communities in Vanuatu. Analysis suggests a typology of five methodological considerations that are significant for the practice of equitable technology development, locating equitable technology development as both a technical and an ethical challenge.

公平需要重新思考应用科学家和工程师在开发同时具有技术和社会意义的解决方案时所经历的过程和方法。通过将科学和技术研究的见解与参与式发展实践的批判性分析联系起来，我们提出了一个理解公平技术发展的框架。我们通过与瓦努阿图的科学家、工程师和社区合作开发水监测技术的一个说明性案例来探讨这一点。分析提出了对公平技术开发实践具有重要意义的五种方法考虑的类型学，将公平技术开发定位为技术和伦理挑战。

引用次数: 0

Like snow in the sun: Government's environmental attention and the withdrawal of polluting firms 像阳光下的雪：政府对环境的关注和污染企业的退出

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-14 DOI: 10.1016/j.sftr.2025.100452

Mengjie Li, Weijian Du

Based on the heterogeneous firm theory, this study uses text analysis and microeconometric methods such as a two-way fixed-effect model, a subsample regression and an interactive term regression to investigate the influence of local government's environmental attention on the withdrawal of polluting firms. Research shows that such attention can accelerate the latter by increasing the severity of environmental regulations, reducing government subsidies and increasing technological innovation. Additionally, the influence of such attention on the exit of polluting firms weakens as market concentration, official corruption and fiscal decentralization increase. This study introduces government's environmental attention and explores its internal mechanisms and external factors, thus improving the framework of environmental governance and helping to understand the “black box” of environmental policy.

本文基于异质性企业理论，运用文本分析和双向固定效应模型、子样本回归和交互项回归等微观计量方法，考察了地方政府环境关注对污染企业退出的影响。研究表明，这种关注可以通过加强环境法规的严厉程度、减少政府补贴和增加技术创新来加速后者。此外，这种关注对污染企业退出的影响随着市场集中度、官员腐败和财政分权的增加而减弱。本研究引入政府的环境关注，并探讨其内部机制和外部因素，从而完善环境治理框架，有助于理解环境政策的“黑箱”。

引用次数: 0

Farmers’ attitude towards green ammonia produced by upcycling waste nitrogen: Empirical evidence from an Iowa study 农民对废氮升级回收产生的绿色氨的态度：来自爱荷华州研究的经验证据

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-14 DOI: 10.1016/j.sftr.2025.100450

Yu Wang , Wenzhen Li , Shuang Gu

This study examines farmers' acceptance of green ammonia produced by upcycling waste nitrogen using renewable energy. A mail survey, targeting a random sample of crop growers in Iowa, USA, found moderately high acceptance: about 50 % support green ammonia as a fertilizer and 32 % support green ammonia as a fuel. Support for green hydrogen is only 17 % (24 % opposing), demonstrating a preference of the 2nd-generation over the 1st-generation technologies. Ordinal logistic regression reveals social and psychological factors affecting attitude, including income, ideology, perceived benefit, ammonia usage, trust in science and technology, personal belief in reducing waste nitrogen, and social norm.

本研究考察了农民对利用可再生能源对废氮进行升级回收产生的绿色氨的接受程度。一项针对美国爱荷华州农作物种植者随机抽样的邮件调查发现，接受度较高：约50%的人支持将绿色氨作为肥料，32%的人支持将绿色氨作为燃料。只有17%的人支持绿色氢（24%的人反对），这表明第二代技术比第一代技术更受青睐。有序逻辑回归揭示了影响态度的社会和心理因素，包括收入、意识形态、感知利益、氨用量、对科学技术的信任、个人减少废氮的信念和社会规范。

引用次数: 0

Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 利用人工神经网络加强气候行动评估：可持续发展目标13的分析

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-13 DOI: 10.1016/j.sftr.2025.100439

Cosimo Magazzino , Zakaria Zoundi

This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 ("Climate Action"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models. A key component of the research is the application of Garson's algorithm, which identifies the relative importance of each of the seven indexes in influencing climate outcomes. The study optimizes the ANN's parameters through a grid search, ensuring robust and precise predictions. This research offers valuable insights for policymakers and researchers aiming to improve climate action strategies by providing a more nuanced understanding of the factors driving environmental performance. The findings demonstrate the potential of advanced AI techniques in refining sustainability assessments and guiding more effective environmental policies. Key policy insights drawn from the study include expanding interventions aimed at promoting more sustainable consumption and production policies, given the significant contribution of SDG 12 in driving climate goals; reviewing the methods for measuring economic growth to account for the planetary crises; and increasing the use of AI tools to guide policymaking.

本研究旨在利用人工神经网络（ann）方法，加强对与气候相关的可持续发展目标（SDG）的评估，重点关注可持续发展目标13（“气候行动”）。它审查了七个关键的2023年可持续发展目标全球指数指数，以模拟和预测环境绩效。人工神经网络的创新使用可以捕捉可持续性指标之间复杂的非线性相互作用，超越了传统的线性模型。这项研究的一个关键组成部分是Garson算法的应用，该算法确定了影响气候结果的七个指标中每个指标的相对重要性。该研究通过网格搜索优化了人工神经网络的参数，确保了鲁棒性和准确性的预测。这项研究为决策者和研究人员提供了有价值的见解，旨在通过更细致地了解推动环境绩效的因素来改进气候行动战略。研究结果表明，先进的人工智能技术在改进可持续性评估和指导更有效的环境政策方面具有潜力。该研究得出的关键政策见解包括：考虑到可持续发展目标12在推动气候目标方面的重大贡献，扩大旨在促进更可持续消费和生产政策的干预措施；审查衡量经济增长的方法，以解释全球危机；以及增加使用人工智能工具来指导政策制定。

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Stakeholders and sustainability disclosure: Evidence from an emerging market 利益相关者与可持续性信息披露：来自新兴市场的证据

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2025-01-13 DOI: 10.1016/j.sftr.2025.100445

Inusah Sulemana , Limei Cheng , Andrew Osei Agyemang , Abednego Osei , Timothy Masuni Nagriwum

This study examines the relationship between stakeholders’ pressure and sustainability disclosure. This study used primary data from 214 participants from Ghana's mining and manufacturing firms. SmartPLS version 4 software was used to run the study's analysis following the Partial Least Square Structural Equation Modeling (PLS-SEM) approach. This study's results revealed that pressures from stakeholders (government, shareholders, and customers) significantly influence green technological innovation and sustainability disclosure. Additionally, green technological innovation mediates the relationships between government, shareholder, and customer pressure and sustainability disclosure. Additionally, corporate culture partially moderates the relationships between stakeholders’ (shareholder and customer) pressure and sustainability disclosure.

本研究考察了利益相关者压力与可持续性信息披露之间的关系。这项研究使用了来自加纳矿业和制造业公司的214名参与者的原始数据。使用SmartPLS version 4软件按照偏最小二乘结构方程建模（PLS-SEM）方法进行研究分析。研究结果表明，来自政府、股东和消费者的压力显著影响绿色技术创新和可持续性信息披露。此外，绿色技术创新在政府、股东和客户压力与可持续性信息披露之间具有中介作用。此外，企业文化在一定程度上调节了利益相关者（股东和客户）压力与可持续性信息披露之间的关系。

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