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Finding potential land use policies for transboundary river basin to resolve harsh land-population relationship under flood risks: Evidence from Lancang-Mekong River Basin 寻找解决洪水风险下跨境河流流域土地-人口关系的潜在土地利用政策:来自澜沧江-湄公河流域的证据
IF 5.9 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-06-01 Epub Date: 2026-02-12 DOI: 10.1016/j.landusepol.2026.107977
Songhua Huan
Land-population relationship under flood risks in transboundary river basins is crucial for sustainable development and climate change-related natural disaster prevention, tightly linked to land use and land cover (LULC), yet the optimal land use policy remains unclear. This study takes the Lancang-Mekong River Basin (LMRB) as a typical case, employing optimization and Ecosystem Service Valuation (ESV) methods to analyze land-population relationship from 2001 to 2018 and explore potential policy implications. The results show that: (1) Post-flood LULC in LMRB faced an average ESV reduction of approximately 0.03 USD/person, with forest loss being the primary driver, contributing a total of 0.04 USD/person in ecosystem services. Impervious surfaces and tree/shrub cover cropland each resulted in an additional 0.04 USD/person ESV decline. (2) In the baseline scenario, total ESV in the LMRB increased by about 6 % compared to the original post-flood LULC, mainly driven by a 11.23 % expansion of swamp areas. Under different policy scenarios, the double-strict policy (70 % basic needs and 110 % highest needs) achieved a 9.28 % ESV increase, slightly higher than the baseline. Double-relaxed policy (90 % basic needs and 130 % highest needs) only led to a 3.24 % increase. Mixed policies, such as strict basic needs (70 %) combined with relaxed highest needs (130 %), yielded a 9.73 % ESV increase, while the relaxed basic needs (90 %) and strict highest needs (110 %) scenario also resulted in a 3.24 % increase. (3) Under high urbanization requirements, ESV increased by 4 % but cropland area decreased by 20 %. In contrast, high agricultural requirements caused a 1.81 % ESV decrease despite a 10 % increase in cropland, as forest and swamp experienced significant reductions. The forest expansion scenario showed a slight ESV increase but a 20 % decrease in grassland. This study provides valuable insights and guidance for post-flood LULC management, addressing the challenging land-population relationship in transboundary river basins.
跨界河流流域洪水风险下的土地-人口关系对可持续发展和气候变化相关的自然灾害预防至关重要,与土地利用和土地覆盖(LULC)密切相关,但最优土地利用政策尚不明确。本研究以澜沧江-湄公河流域(LMRB)为典型案例,采用优化和生态系统服务价值(ESV)方法,分析2001 - 2018年澜沧江-湄公河流域土地-人口关系,探讨政策影响。结果表明:①洪水后LMRB生态系统服务价值平均减少约0.03 USD/人,其中森林损失是主要驱动因素,共贡献0.04 USD/人的生态系统服务价值;不透水地表和树木/灌木覆盖的农田均导致人均ESV额外下降0.04美元。(2)在基线情景下,LMRB的总ESV比原始洪水后LULC增加了约6 %,这主要是由于沼泽面积扩大了11.23 %。在不同政策情景下,双严格政策(70 %基本需求和110 %最高需求)实现了9.28 %的ESV增长,略高于基线。双宽松政策(90% %基本需求和130% %最高需求)只导致了3.24% %的增长。混合政策,如严格的基本需求(70 %)与宽松的最高需求(130 %)相结合,产生了9.73 %的ESV增长,而宽松的基本需求(90 %)和严格的最高需求(110 %)也导致了3.24 %的增长。(3)在高城市化要求下,ESV增加了4 %,耕地面积减少了20 %。相比之下,由于森林和沼泽的显著减少,尽管农田的ESV增加了10 %,但农业的高需求导致了1.81 %的ESV减少。在森林扩张情景下,ESV略有增加,而草地的ESV减少了20% %。该研究为解决跨界河流流域具有挑战性的土地-人口关系问题提供了有价值的见解和指导。
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引用次数: 0
Midline qualitative evaluation of an integrated health, livelihood, agriculture, and conservation program: Application of the RE-AIM framework 综合健康、生计、农业和保护计划的中线定性评估:RE-AIM框架的应用
IF 2 4区 社会学 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.evalprogplan.2026.102752
Fikadu Mitiku , Adugna Eneyew Bekele , Beressa Azmeraw , Amdemichael Mulugeta , Gardachew Tiruneh , Jemal Abafita , Elizabeth Millar , Janine Barden-O’Fallon
The population, health, environment and development (PHED) approach has been recognized for providing a more holistic and synergetic approach to program implementation than the single-sector approach. However, evidence is still needed to support the theory that multi-sectoral integration is more effective than a siloed approach. In this study, we applied the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework for midline evaluation of an integrated health, livelihood, agriculture and conservation program in Southwest Oromia, Ethiopia that specifically targeted women and youth. The data were collected through key informant interviews (KIIs), focus group discussions (FGDs) and most significant change (MSC). The findings show that the project successfully reached target beneficiaries with livelihood interventions, such as through village saving and loan associations, which were seen as important hubs for linkages to other sectors and services. Regular communication, coordination and alignment of goals with local government stakeholders supported successful program implementation, adoption and sustainability of the multi-sectoral approach. The findings highlighted the need for strategies to enhance women’s and youth’s participation, and to increase government ownership to ensure sustainability. Additionally, we found the RE-AIM framework to be flexible and adaptable for application in a qualitative PHED program evaluation.
人们认识到,人口、保健、环境与发展办法提供了比单一部门办法更全面和更协同的方案执行办法。然而,仍然需要证据来支持多部门一体化比孤立方法更有效的理论。在这项研究中,我们应用了覆盖、有效性、采用、实施和维护(RE-AIM)框架,对埃塞俄比亚奥罗米亚西南部一个专门针对妇女和青年的综合健康、生计、农业和保护项目进行了中线评估。通过关键信息者访谈(KIIs)、焦点小组讨论(fgd)和最显著变化(MSC)收集数据。调查结果表明,该项目通过生计干预措施成功地惠及了目标受益人,例如通过村储蓄和贷款协会,这些协会被视为与其他部门和服务联系的重要枢纽。与当地政府利益相关者定期沟通、协调和协调目标,支持了项目的成功实施、多部门方法的采用和可持续性。调查结果强调需要制定战略,加强妇女和青年的参与,并增加政府的所有权,以确保可持续性。此外,我们发现RE-AIM框架在定性博士项目评估中具有灵活性和适应性。
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引用次数: 0
A multi-dimensional FinTech composite integrating infrastructure, access, usage, knowledge transfer, and governance-by-technology: The role of digital silk road policy in BRI economies 整合基础设施、接入、使用、知识转移和技术治理的多维金融科技组合:数字丝绸之路政策在“一带一路”经济体中的作用
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-11-10 DOI: 10.1016/j.techsoc.2025.103162
Huma Iftikhar , Luo Guang , Atta Ullah
This research pioneers the assessment of the progress, demand, and future potential of financial technology (FinTech) in 148 Belt and Road Initiative (BRI) countries from 2004 to 2023. For this purpose, FinTech index is constructed using Principal Component Analysis (PCA) from 19 indicators, based on five dimensions: (1) digital and technological infrastructure, (2) access to tech-enabled financial services, (3) usage of tech-enabled financial services, (4) knowledge transfer, and (5) digital governance and enabling environment. The methodological credibility and robustness of the FinTech composite were ensured by using a two-step system GMM, parallel trend analysis, difference-in-differences (DiD), and propensity score matching-difference-in-differences (PSM-DiD). In empirical analysis, “Digital Silk Road” is incorporated as a policy variable, whereas research and development, regulatory governance, tax revenue of GDP, inflation, and government spending serve as covariates. An increasing trend was observed from 2015 to 2023, implying that accelerating FinTech adoption was observed after the “Digital Silk Road” initiative of 2015, driven by demand-side pull (smartphone/e-commerce diffusion) and supply-side push (digital infrastructure and pro-FinTech regulation). Further, sub-group income- and region-wise heatmaps in Origin 2025 visually uncovered income and regional disparities in FinTech development. East Asian and European countries emerged as regional FinTech leaders, while African, particularly sub-Saharan economies, reflected weak regulatory frameworks, limited digital financial literacy, and infrastructure deficiencies. This research also serves as an analytical tool for country-wise decomposition, identifying strengths and weaknesses in FinTech adoption and highlighting areas for policy intervention. From 2015 to 2023, Korea ranked highest in BRI-FTI, followed by China and Seychelles, implying the best FinTech ecosystem, whereas Somalia, Ethiopia, and Eritrea have weak FinTech ecosystems. The research introduces new perspectives and serves as a valuable guide for governments, legislators, industries, and financial institutions for tailored policy strategies based on a country's specific development context by integrating a demand–supply lens that attributes outcomes to both consumer uptake and infrastructure/regulatory supply. The findings highlight the urgency of cross-border knowledge exchange, regulatory harmonization, and digital upskilling to bridge the divide between BRI countries. Across Belt and Road corridors, the BRI—especially the Digital Silk Road—expanded the supply of digital rails and enabled regulation while deeper trade, tourism, and platform spillovers amplified demand for cross-border payments, credit, and e-commerce.
本研究首次评估了2004年至2023年148个“一带一路”倡议(BRI)国家金融科技(FinTech)的进展、需求和未来潜力。为此,金融科技指数采用主成分分析(PCA)从19个指标构建,基于五个维度:(1)数字和技术基础设施;(2)获得技术金融服务;(3)使用技术金融服务;(4)知识转移;(5)数字治理和有利环境。通过使用两步系统GMM、平行趋势分析、差异中的差异(DiD)和倾向评分匹配差异中的差异(PSM-DiD),确保了FinTech组合的方法学可信度和稳健性。在实证分析中,将“数字丝绸之路”作为政策变量,将研发、监管治理、GDP税收、通货膨胀和政府支出作为协变量。从2015年到2023年,这一趋势呈上升趋势,这意味着在2015年“数字丝绸之路”倡议提出后,在需求侧拉动(智能手机/电子商务扩散)和供给侧推动(数字基础设施和支持金融科技的监管)的推动下,金融科技的采用正在加速。此外,《起源2025》中的分组收入和地区热图直观地揭示了金融科技发展中的收入和地区差异。东亚和欧洲国家成为地区金融科技领导者,而非洲,特别是撒哈拉以南非洲经济体,反映出监管框架薄弱,数字金融知识有限,基础设施不足。这项研究还可以作为国家层面的分析工具,确定金融科技采用的优势和劣势,并突出政策干预的领域。从2015年到2023年,韩国在BRI-FTI中排名最高,其次是中国和塞舌尔,这意味着金融科技生态系统最好,而索马里、埃塞俄比亚、厄立特里亚的金融科技生态系统较弱。该研究引入了新的视角,并为政府、立法者、行业和金融机构提供了有价值的指导,可以根据一个国家的具体发展背景,通过整合供需视角,将结果归因于消费者接受和基础设施/监管供应。研究结果强调了跨境知识交流、监管协调和数字技能提升的紧迫性,以弥合“一带一路”国家之间的鸿沟。在“一带一路”沿线,“一带一路”特别是“数字丝绸之路”扩大了数字轨道的供应,促进了监管,而更深层次的贸易、旅游和平台溢出效应扩大了对跨境支付、信贷和电子商务的需求。
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引用次数: 0
The role of digital/4.0 technologies in the agri-biodiversity transition: Potential pathways and lessons from the European Union 数字/4.0技术在农业生物多样性转型中的作用:欧盟的潜在途径和经验教训
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-11-10 DOI: 10.1016/j.techsoc.2025.103158
Carlos Parra-López , Carmen Carmona-Torres
The intensification of agriculture is a primary driver of global biodiversity decline. In response, the European Union (EU) is promoting a transition towards sustainable, biodiversity-friendly agriculture. This article explores how digital/4.0 technologies — such as remote sensing, artificial intelligence, and nanotechnology — can support this transition, based on a scoping thematic literature review of 127 articles published between 2021 and 2025. The analysis identifies three potential pathways: (1) mitigating the negative impacts of intensive farming, (2) enhancing habitat and species monitoring, and (3) strengthening the knowledge base for policy and decision-making. We link these technological opportunities to EU policy objectives, highlighting the critical interplay between innovation and regulation. However, significant technical, socio-economic and environmental challenges, including data interoperability, the digital divide and potential rebound effects, hinder widespread adoption. The primary contribution of this paper is its synthesis of the technology–policy nexus in the agri-biodiversity transition, offering a structured framework for both theoretical understanding and practical application. In conclusion, realising the potential of these technologies requires interdisciplinary collaboration, targeted policy support and proactive risk management, ensuring that technological advancements genuinely contribute to biodiversity conservation. The EU's experience can inform future policies by providing insights for reconciling agricultural production with biodiversity on a global scale.
农业集约化是全球生物多样性下降的主要驱动因素。为此,欧盟正在推动向可持续的、生物多样性友好型农业过渡。本文基于对2021年至2025年间发表的127篇文章的主题文献综述,探讨了数字/4.0技术(如遥感、人工智能和纳米技术)如何支持这一转变。分析指出了三条潜在的途径:(1)减轻集约化农业的负面影响;(2)加强栖息地和物种监测;(3)加强政策和决策的知识基础。我们将这些技术机会与欧盟的政策目标联系起来,强调创新与监管之间的关键相互作用。然而,重大的技术、社会经济和环境挑战,包括数据互操作性、数字鸿沟和潜在的反弹效应,阻碍了技术的广泛采用。本文的主要贡献是综合了农业生物多样性转型中的技术-政策关系,为理论理解和实际应用提供了一个结构化的框架。总之,实现这些技术的潜力需要跨学科合作、有针对性的政策支持和主动的风险管理,确保技术进步真正有助于生物多样性保护。欧盟的经验可以通过提供在全球范围内协调农业生产与生物多样性的见解,为未来的政策提供信息。
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引用次数: 0
A societal readiness tool for responsible product innovation 负责任的产品创新的社会准备工具
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-11-29 DOI: 10.1016/j.techsoc.2025.103183
Bennet Francis , Tynke Schepers , Andrea Porcari , Philip Brey
This paper introduces the Societal Readiness Tool (SRT), an approach that supports actors in product design and innovation in aligning product development with societal needs and expectations. The tool serves two functions. First, it provides guidance for developers, enabling them to navigate the product development process in a manner that builds in ethical, legal and social impact considerations from the very earliest stages. Second, the tool enables developers and other stakeholders to conduct qualitative self-assessments of the societal readiness level of a product. The substantive claim embodied by the tool is that technical and commercial readiness of new products should be supplemented by societal readiness, which is accomplished by embedding concern for ethical, legal and social impacts in product development.
本文介绍了社会准备工具(SRT),一种支持产品设计和创新的方法,使产品开发与社会需求和期望保持一致。该工具有两个功能。首先,它为开发人员提供指导,使他们能够以一种从最早期阶段就考虑道德、法律和社会影响的方式来导航产品开发过程。其次,该工具使开发人员和其他涉众能够对产品的社会准备水平进行定性的自我评估。该工具所体现的实质性主张是,新产品的技术和商业准备应辅以社会准备,这是通过在产品开发中嵌入对道德、法律和社会影响的关注来实现的。
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引用次数: 0
Spatio-temporal shifts, driving mechanisms, and resilience dynamics: Unraveling the evolution of global innovation networks (2003–2023) 时空变迁、驱动机制与弹性动态:全球创新网络的演变(2003-2023)
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-12-11 DOI: 10.1016/j.techsoc.2025.103192
Jinbao Wen , Xiang Yu , Wei Yang
This study examines the spatio-temporal shifts, driving mechanisms, and structural resilience of Global Innovation Networks (GINs) by leveraging transnational patent data from the World Intellectual Property Organization (2003–2023). Through Social Network Analysis (SNA), Temporal Exponential Random Graph Models (TERGM), and Network Resilience Assessment Modeling (NRAM), we deliver a dynamic and multi-level analysis of GINs. Findings indicate that GINs maintain small-world properties and a stable core-periphery architecture, while experiencing a marked eastward shift in influential nodes. The traditional Western-centered core has expanded to incorporate emerging economies such as China, India, and South Korea, signaling a decentralization of global innovation activity. TERGM results reveal multi-level drivers: endogenous structures such as reciprocity and triadic closure guide self-organization; actor attributes exhibit asymmetric effects, where patent protection strength, political stability, and market size attract innovation inflows, whereas economic scale and trade promote outflows; exogenous proximities show cultural similarity fosters connections, while geographic and administrative distances act as barriers. Notably, knowledge distance's constraining role weakens when accounting for structural embeddedness. NRAM assessments show that GIN resilience has strengthened over time, with improved tolerance to both targeted and random disruptions. Yet systemic vulnerability persists through a limited set of core nations (including the US, China, and Germany)—whose failure may trigger broad instability. By incorporating endogenous dynamics, seldom-studied exogenous factors, and resilience into a unified framework, this research advances GIN theory and offers strategic insights for governance and global patent planning amid systemic uncertainties.
本文利用世界知识产权组织2003-2023年跨国专利数据,分析了全球创新网络的时空变迁、驱动机制和结构弹性。通过社会网络分析(SNA),时间指数随机图模型(TERGM)和网络弹性评估模型(NRAM),我们提供了一个动态和多层次的分析网络安全风险。研究结果表明,新兴经济体保持了小世界特征和稳定的核心-外围结构,但在有影响的节点上经历了明显的东移。传统的以西方为中心的核心已经扩展到包括中国、印度和韩国等新兴经济体,这标志着全球创新活动的分散化。TERGM结果揭示了多层次的驱动因素:互惠和三元闭包等内生结构引导自组织;行动者属性表现出不对称效应,专利保护力度、政治稳定性和市场规模吸引创新流入,而经济规模和贸易促进创新流出;外源性接近表明,文化相似性促进了联系,而地理和行政距离则成为障碍。值得注意的是,当考虑结构嵌入性时,知识距离的约束作用减弱。NRAM评估显示,随着时间的推移,GIN的恢复能力有所增强,对目标中断和随机中断的容忍度都有所提高。然而,系统性脆弱性在少数核心国家(包括美国、中国和德国)中依然存在——这些国家的失败可能引发广泛的不稳定。通过将内生动力学、很少被研究的外生因素和弹性纳入一个统一的框架,本研究推进了GIN理论,并为系统不确定性下的治理和全球专利规划提供了战略见解。
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引用次数: 0
Digital communities of practice and the knowledge transformation cycle: Enabling sustainable food systems through AI and Metaverse technologies 数字实践社区和知识转化周期:通过人工智能和元宇宙技术实现可持续粮食系统
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-12-03 DOI: 10.1016/j.techsoc.2025.103188
Luca Cacciolatti , Soo Hee Lee , Michael Christofi , Ioannis Christodoulou , Su Ha Van
This study develops a conceptual framework to theorise how digitally augmented Communities of Practice (CoPs), such as the Slow Food Movement, can support sustainable food systems transformation through advanced knowledge management. Although digital innovation is increasingly applied in agri-food systems, much of the literature remains technocentric, focusing on infrastructure and automation, while overlooking how digital tools mediate community-based knowledge flows and adaptive capabilities. Addressing this gap, we integrate Nonaka and Takeuchi's SECI model with Teece's dynamic capabilities framework to examine how Artificial Intelligence (AI) and Metaverse technologies enable CoPs to create, share, and transform knowledge.
The main contribution is the DEKA-CoPs model (Digitally Enabled Knowledge Architecture in Communities of Practice), which explains how digital mediation can enhance epistemic agility, collaborative innovation, and system adaptability. Methodologically, the paper uses a theory-building approach to develop four propositions that can guide future empirical work.
This framework advances knowledge management and sustainability literature by shifting the focus from firm-based innovation to digitally enabled, community-led knowledge infrastructures. It offers practical implications for policymakers, technologists, and sustainability practitioners interested in designing inclusive, adaptive platforms that embed local knowledge in agri-food transitions.
本研究开发了一个概念性框架,以理论化数字增强的实践社区(cop),如慢食运动,如何通过先进的知识管理支持可持续的粮食系统转型。尽管数字创新越来越多地应用于农业食品系统,但许多文献仍然以技术为中心,关注基础设施和自动化,而忽略了数字工具如何调节基于社区的知识流动和适应能力。为了解决这一差距,我们将Nonaka和Takeuchi的SECI模型与Teece的动态能力框架结合起来,研究人工智能(AI)和元宇宙技术如何使cop能够创造、共享和转化知识。主要贡献是DEKA-CoPs模型(实践社区中的数字化知识架构),该模型解释了数字中介如何增强认知敏捷性、协作创新和系统适应性。在方法上,本文采用理论构建方法提出了四个可以指导未来实证工作的命题。该框架通过将重点从基于企业的创新转向数字化、社区主导的知识基础设施,推动了知识管理和可持续性文献的发展。它为决策者、技术专家和对设计包容性、适应性平台感兴趣的可持续发展从业者提供了实际意义,这些平台将当地知识融入农业食品转型中。
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引用次数: 0
Unraveling the role of artificial intelligence, eco-innovation efficiency, and stringent environmental policies in environmental sustainability: Is the load capacity curve hypothesis true in G7 economies? 揭示人工智能、生态创新效率和严格的环境政策在环境可持续性中的作用:七国集团经济体的负荷能力曲线假说是否成立?
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-12-01 DOI: 10.1016/j.techsoc.2025.103187
Salman Hamid , Ke Wang , Xiang Zhang
In recent times, the global environmental repercussions have intensified the imminent threat of global warming and climate change. In response, implementing innovative approaches and sustainable practices for ecological preservation remains a considerable challenge even for developed nations, such as G7. It is therefore inevitable to identify key factors driving the progress of environmental sustainability. Motivated by this, the current research is an earliest attempt which delve the impact of artificial intelligence (AI), eco-innovation efficiency (EIE), environmental policy stringency (EPS), and green growth (GG) on load capacity factor (LCF) under the load capacity curve (LCC) framework to achieve environmental sustainability in G7 countries. In this regard, innovative approaches of Driscoll-Kraay standard errors (DKSE) and panel-corrected standard errors (PCSE) are employed to investigate the long-run relationships, using the data from 1990 to 2020. The findings highlight that: (i) eco-innovation efficiency primarily promotes environmental sustainability by improving load capacity factor, which is advantageous for G7 countries; (ii) artificial intelligence, environmental policy stringency, and green growth inhabits environmental sustainability by decreasing load capacity factor, which are detrimental for G7 countries; (iii) the LCC hypothesis is invalid in G7 countries illustrating an inverted “U-shaped” relationship between income and LCF. This implies that economic growth initially improves environmental sustainability but later deteriorates the environment after reaching a certain threshold. These findings emphasize that decision-makers should restructure energy and environmental policies for G7 countries by prioritizing AI technologies, augmenting stringent environmental policies, implementing clean energy initiatives, and decoupling economic growth and resource consumption along with further strengthening ecologically efficient technologies.
近年来,全球环境影响加剧了全球变暖和气候变化的迫在眉睫的威胁。因此,即使对发达国家,如七国集团,实施创新的方法和可持续的生态保护实践仍然是一个相当大的挑战。因此,确定推动环境可持续性进展的关键因素是不可避免的。在此背景下,本研究首次尝试在负荷能力曲线(LCC)框架下,探讨人工智能(AI)、生态创新效率(EIE)、环境政策严格性(EPS)和绿色增长(GG)对负荷能力因子(LCF)的影响,以实现G7国家的环境可持续性。在这方面,采用创新的Driscoll-Kraay标准误差(DKSE)和面板校正标准误差(PCSE)方法,使用1990 - 2020年的数据来研究长期关系。研究发现:(1)生态创新效率主要通过提高承载能力因子促进环境可持续性,这对G7国家有利;(2)人工智能、环境政策严密性和绿色增长通过降低承载能力因子影响环境可持续性,对G7国家不利;(iii) LCC假设在G7国家无效,说明收入与LCC之间存在倒“u”型关系。这意味着,经济增长最初提高了环境的可持续性,但在达到一定阈值后,随后使环境恶化。这些研究结果强调,决策者应该通过优先考虑人工智能技术、加强严格的环境政策、实施清洁能源倡议、将经济增长和资源消耗脱钩以及进一步加强生态高效技术来重组七国集团(G7)国家的能源和环境政策。
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引用次数: 0
Digital platforms, innovation networks, and institutional support in circular economy adoption: A moderated mediation analysis in Emerging Economies 采用循环经济的数字平台、创新网络和制度支持:新兴经济体的有调节中介分析
IF 12.5 1区 社会学 Q1 SOCIAL ISSUES Pub Date : 2026-06-01 Epub Date: 2025-12-01 DOI: 10.1016/j.techsoc.2025.103186
Muhammad Sadiq , Ka Yin Chau , Massoud Moslehpour , Ivan Brezina , Mei Kei Leong
The study explores how digital platform integration, innovation network strength, and institutional support for sustainability affect the circular economy adoption (CEA) through innovation ecosystem dynamism (IED), where digital transformation readiness (DTR) acts as a moderator in Cambodia and Vietnam. A cross-sectional quantitative method was used to gather information from 900 respondents, 450 each from country. Findings denote that digital platform, innovation networks, and institutional support have a significant effect on IED, which consequently enhances CEA. DTR enhances these relations directly and indirectly, which demonstrates its significance in circular transformation. The comparisons across countries demonstrate that there are differences in contexts related to a circular economy transition. The effects on CEA in Vietnam are more consistent across all paths and, as a result, the effect of digital platform and IED is stronger. The mediating role of innovation network and institutional support on IED is greater in Vietnam because of the moderation of DTR. The relationship and moderation effect in Cambodia are significantly lower, but not negligible, which suggests that there are discrepancies in structural and digital readiness. These contextual differences indicate how digital and institutional maturity can shape the resource orchestration towards sustainability. The research advances theory by integrating digital transformation, innovation ecosystems, and institutional support into a new, moderated mediation framework. In Vietnam, policymakers and managers should take advantage of more advanced digital platforms and stable policies to accelerate CEA. In Cambodia, investment in digital infrastructure and institutional support is essential to overcome structural barriers and boost CEA. As one of the first empirical studies using a moderated mediation model in trans-country Southeast Asia, this research demonstrates how digital preparedness shapes circular transitions.
该研究探讨了数字平台整合、创新网络实力和可持续性的制度支持如何通过创新生态系统动力(IED)影响循环经济的采用(CEA),其中柬埔寨和越南的数字转型准备程度(DTR)起到了调节作用。采用横断面定量方法从900名受访者(每个国家450名)中收集信息。研究发现,数字平台、创新网络和制度支持对企业创新能力有显著影响,进而促进企业创新能力的提升。DTR直接或间接地加强了这些关系,这表明了它在循环转换中的重要性。各国之间的比较表明,与循环经济转型相关的背景存在差异。在越南,所有途径对CEA的影响更加一致,因此,数字平台和IED的影响更强。越南创新网络和制度支持对IED的中介作用更大,因为DTR具有调节作用。柬埔寨的关系和调节效应明显较低,但不可忽略,这表明在结构和数字准备方面存在差异。这些背景差异表明,数字和制度成熟度如何塑造资源协调的可持续性。该研究通过将数字化转型、创新生态系统和制度支持整合到一个新的、有调节的中介框架中来推进理论。在越南,决策者和管理者应该利用更先进的数字平台和稳定的政策来加速CEA。在柬埔寨,对数字基础设施和制度支持的投资对于克服结构性障碍和促进CEA至关重要。作为在东南亚跨国使用有调节的中介模型的首批实证研究之一,本研究展示了数字准备如何影响循环过渡。
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引用次数: 0
Neurophysiological assessment of restorative benefits in forest-rural landscapes: EEG responses to real-world and virtual environments 森林-乡村景观恢复性效益的神经生理学评估:脑电图对现实世界和虚拟环境的反应
IF 11.2 1区 社会学 Q1 ENVIRONMENTAL STUDIES Pub Date : 2026-06-01 Epub Date: 2026-01-21 DOI: 10.1016/j.eiar.2026.108346
Zhixiu Li , Yifei Sun , Jiajing Song , Yihan Wang , Yangyang Wei
With the increasing prominence of mental health issues among humans, the restorative benefits of natural environments have garnered widespread attention. As a typical high-restorative living environment, the forest village plays a significant role in generating positive restorative effects. Previous studies have mainly explored the simple correlations between environmental characteristics and psychological or physiological indicators, while the differences in restorative benefits between virtual and real environments have not yet been systematically quantified within a unified experimental framework. This study employs electroencephalography (EEG) technology through a dual-modal experiment of virtual reality (VR) observation and real-world experience to quantify the neurophysiological impacts of forest village environments on psychological restoration. Based on structural equation modeling analysis, it reveals the causal relationships between environmental characteristics and brainwave activity. Using national forest villages as case examples, EEG data were collected from participants with the eego™ mylab device. Combining restorative evaluation and environmental preference scales, the study comprehensively analyzes the “psychological–physiological” response mechanisms underlying the restorative benefits of typical sample environments. The results show that the forest village environment significantly enhances α wave power (real-world group: 0.351; VR group: 0.314; p < 0.05) and suppresses excessive β wave activity (real-world group: −0.242; VR group: −0.213; p < 0.05), confirming its neural mechanisms in stress alleviation and relaxation promotion. Environmental preference indirectly regulates brainwave activity through restorative evaluation, with “mystery” showing the highest explanatory power (real-world group standardized factor loading λ = 0.847, explanatory power λ2 = 71.7%; VR group λ = 0.821, λ2 = 67.4%). This study proposes an interdisciplinary framework and dynamic feedback pathway of “environmental preference–psychological evaluation–neural response.” It not only provides neuroscientific evidence for the restorative benefits of forest village environments and promotes a data-driven transformation in environmental psychology, but also offers new insights into the design of ecological wellness scenarios and the development of remote environmental healing systems.
随着人类心理健康问题的日益突出,自然环境的恢复性效益得到了广泛关注。林村作为典型的高恢复性人居环境,在产生积极的恢复性效应方面发挥着重要作用。以往的研究主要是探索环境特征与心理或生理指标之间的简单相关性,而虚拟环境与真实环境之间的修复效益差异尚未在统一的实验框架内系统量化。本研究采用脑电图(EEG)技术,通过虚拟现实(VR)观察和现实体验双模态实验,量化林村环境对心理恢复的神经生理影响。基于结构方程建模分析,揭示了环境特征与脑电波活动之间的因果关系。以国家森林村庄为例,使用eego™mylab设备收集参与者的脑电图数据。本研究结合恢复性评价和环境偏好量表,综合分析了典型样本环境恢复性效益的“心理生理”反应机制。结果表明:森林村落环境显著增强α波能(真实世界组:0.351;VR组:0.314;p < 0.05),抑制β波的过度活动(真实世界组:−0.242;VR组:−0.213;p < 0.05),证实了其缓解应激和促进松弛的神经机制。环境偏好通过恢复性评价间接调节脑波活动,其中“神秘”组的解释能力最高(现实世界组标准化因子负荷λ = 0.847,解释能力λ2 = 71.7%;虚拟现实组λ = 0.821,解释能力λ2 = 67.4%)。本研究提出了“环境偏好-心理评价-神经反应”的跨学科框架和动态反馈通路。它不仅为森林村庄环境的恢复效益提供了神经科学证据,促进了环境心理学的数据驱动转型,而且为生态健康场景的设计和远程环境治疗系统的开发提供了新的见解。
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