Sustainable Futures最新文献_第7页

Unraveling the tourism-urbanization-ES nexus within a human-environment system: spatiotemporal coordination and barrier diagnosis in the Yangtze River Delta, China 人-环境系统中的旅游-城市化- es关系：长江三角洲时空协调与障碍诊断

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.sftr.2025.101608

Lingling Chen, Yingying Zhang, Shu Tang

The ternary coupling of tourism, urbanization, and ecosystem services (ES) within a tourism-urbanization-based coupled human–environment system (TU–CHES) is critical for sustainability but remains insufficiently examined. This study develops an integrated framework combining Ecosystem Service Value (ESV) quantification, Coupling Coordination Degree (CCD) model, and Obstacle Degree (OD) model to diagnose the spatiotemporal dynamics of coordination and underlying barriers within the TU–CHES in China’s Yangtze River Delta from 2000 to 2020. The results reveal pronounced asynchronous development, where the rapid growth of tourism and urbanization contrasts sharply with the stagnation of ES. Although the overall system coordination improved (mean CCD increasing from 0.389 to 0.436), the progress is highly spatially uneven. Shanghai demonstrates an ecological overload, while Jiangsu experiences coordination regression, underscoring persistent spatial mismatches. Further analysis identifies three deep-seated institutional barriers: the scale–status paradox of tourism, dual deficits in cultural and environmental governance during urbanization, and the tension between landscape commodification and ecological regeneration. To address these challenges, this study proposes transboundary ecological compensation, recalibrating tourism development strategies, and differentiated landscape management. The integrated ESV–CCD–OD framework provides a transferable diagnostic tool for analyzing sustainability constraints in tourism-driven urban agglomerations.

以旅游-城市化为基础的人-环境耦合系统（TU-CHES）中，旅游、城市化和生态系统服务（ES）的三元耦合对可持续发展至关重要，但仍未得到充分研究。基于生态系统服务价值（ESV）量化、耦合协调度（CCD）模型和障碍度（OD）模型，构建了2000 - 2020年长江三角洲流域生态系统协调与障碍时空动态分析框架。结果显示出明显的非同步发展，其中旅游业和城市化的快速增长与ES的停滞形成鲜明对比。虽然整体系统协调性有所提高（平均CCD从0.389增加到0.436），但在空间上的差异很大。上海呈现生态超载，江苏呈现协调回归，空间失配持续。进一步分析发现了三个深层次的制度障碍：旅游业的规模-地位悖论、城市化过程中文化和环境治理的双重赤字、景观商品化与生态再生之间的紧张关系。为了应对这些挑战，本研究提出了跨界生态补偿、旅游发展战略调整和差别化景观管理的建议。综合ESV-CCD-OD框架为分析旅游驱动的城市群的可持续性限制提供了一种可转移的诊断工具。

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引用次数: 0

From waste to wear: ANN-driven optimization of 100% sustainable tri-blend yarns from recycled cotton, recycled PET, and ecovero 从废物到穿着：由人工神经网络驱动的100%可持续三混纺纱线的优化，由再生棉、再生PET和再生棉制成

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.sftr.2026.101652

Mohammad Rashel Hawlader , Md.Raquibul Hasan Siddiky , Ahmed Jalal Uddin

The textile sector is rapidly transitioning toward recycled fibers, driven by environmental concerns, circular economy initiatives, fluctuating virgin fiber prices, and growing demand for sustainable clothing. This study aimed to develop a sustainable, high-performance tri-blend yarn composed of recycled cotton (r-cotton), recycled polyester (r-PET), and Ecovero (a certified sustainable viscose). The blend was designed to achieve a synergistic balance, with r-cotton providing softness, eco-friendliness, and cost efficiency; r-PET contributing durability, quick-drying, and wrinkle resistance; and Ecovero enhancing comfort, absorbency, luster, and drape. Optimizing fiber proportions to maximize recycled content while maintaining low unevenness, imperfections, and hairiness, along with adequate strength and elongation of yarns for industrial fabric production, posed a complex challenge. To address this, MATLAB software was employed, which generated thirteen experimental blends. The yarns were spun, and the yarn properties were evaluated using Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) models. Both models developed predictive equations, and recommended optimized blend ratios with corresponding yarn characteristics. Final yarn samples were produced and compared against predicted values. The results showed that while both models demonstrated reliable predictive capability, the ANN model provided superior accuracy, with its optimized blends aligning more closely with the targeted yarn properties.

在环境问题、循环经济倡议、原始纤维价格波动以及对可持续服装需求不断增长的推动下，纺织行业正在迅速向再生纤维过渡。本研究旨在开发一种可持续、高性能的三混纺纱线，该纱线由再生棉（r-cotton）、再生聚酯（r-PET）和Ecovero（一种经认证的可持续粘胶）组成。混纺的设计是为了达到协同平衡，与r-棉提供柔软，环保和成本效益；r-PET有助于耐久性，快干性和抗皱性；和Ecovero提高舒适性，吸收性，光泽和悬垂。优化纤维比例以最大限度地提高回收含量，同时保持较低的不均匀度、不完美度和毛羽，以及用于工业织物生产的纱线的足够强度和伸长率，这是一个复杂的挑战。为了解决这个问题，使用MATLAB软件，生成了13个实验混合物。采用多元线性回归（MLR）和人工神经网络（ANN）模型对纱线性能进行评价。这两个模型都建立了预测方程，并根据相应的纱线特性推荐了优化的混纺比。生产最终纱线样品并与预测值进行比较。结果表明，虽然两种模型都具有可靠的预测能力，但人工神经网络模型提供了更高的准确性，其优化的共混物更接近目标纱线的性能。

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引用次数: 0

Artificial intelligence in agriculture across south Asia: Technology adoption, improvements, and sustainability outcomes 南亚农业中的人工智能：技术采用、改进和可持续性成果

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.sftr.2025.101620

SSM Sadrul Huda , Afsana Akhtar , Ellin Ahmed , Kazi Md. Samiul Hoq , Md. Nahid Islam

Agriculture remains the backbone of South Asia’s economy, yet persistent challenges such as climate variability, low productivity, and fragmented supply chains hinder its sustainable growth. Motivated by the region’s increasing digitalization and the potential of Artificial Intelligence (AI) to address these constraints, this study investigates how AI is being adopted in agriculture across six South Asian countries—Bangladesh, India, Pakistan, Sri Lanka, Nepal, and Afghanistan. Using a qualitative comparative case study approach, the research integrates the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI) framework to analyze over 30 AI-enabled firms operating in areas such as farm finance, crop monitoring, pest and disease management, logistics, and post-harvest quality control. The findings reveal significant cross-country variation in AI adoption patterns: India and Sri Lanka exhibit DOI-driven, institution-led diffusion supported by strong public–private partnerships, while Bangladesh and Nepal rely on TAM-based, individual-level acceptance influenced by digital literacy and perceived ease of use. Pakistan demonstrates a hybrid adoption path, whereas Afghanistan remains at an early diffusion stage. These results highlight that infrastructure readiness, digital capability, and institutional coordination are decisive factors for scaling AI in agriculture. The study concludes with actionable policy recommendations, emphasizing the need for region-wide investment in rural digital infrastructure, AI literacy programs, inclusive financing mechanisms, and cross-border public–private collaborations to accelerate sustainable, data-driven agricultural transformation across South Asia.

农业仍然是南亚经济的支柱，但气候变化、低生产率和供应链碎片化等持续存在的挑战阻碍了其可持续增长。受该地区日益增长的数字化和人工智能（AI）解决这些制约因素的潜力的推动，本研究调查了六个南亚国家（孟加拉国、印度、巴基斯坦、斯里兰卡、尼泊尔和阿富汗）如何在农业中采用人工智能。该研究采用定性比较案例研究方法，将技术接受模型（TAM）和创新扩散（DOI）框架整合在一起，分析了30多家在农业金融、作物监测、病虫害管理、物流和收获后质量控制等领域运营的人工智能公司。研究结果显示，人工智能的采用模式存在显著的跨国差异：印度和斯里兰卡表现出由强有力的公私伙伴关系支持的、由部门驱动的、由机构主导的传播，而孟加拉国和尼泊尔则依赖于基于tam的、受数字素养和易用性影响的个人层面的接受。巴基斯坦展示了混合采用路径，而阿富汗仍处于早期扩散阶段。这些结果突出表明，基础设施就绪、数字化能力和机构协调是在农业中扩大人工智能规模的决定性因素。该研究最后提出了可行的政策建议，强调需要在整个地区投资农村数字基础设施、人工智能扫盲计划、包容性融资机制和跨境公私合作，以加速整个南亚地区可持续的、数据驱动的农业转型。

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引用次数: 0

Temperature changes and agricultural performance linkage: Evidence from Africa 温度变化与农业绩效的联系：来自非洲的证据

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-07 DOI: 10.1016/j.sftr.2026.101650

Adéla Malinová , Michal Čermák , Vladimír Krepl , Zdeněk Vališ

Temperature changes pose significant challenges for agriculture, influencing crop yields, resource use, and food security. Understanding these dynamics is essential for assessing risks and developing sustainable adaptation strategies. This paper investigates the impact of temperatures on agriculture value added across 46 African countries from 1993 to 2022. Multiple econometric approaches were used, including an error correction model, impulse-response analysis, and non-parametric partial-kernel regression. The results show a statistically significant and robust negative effect of temperatures on agriculture value added. Diagnostics confirm cointegration and robustness across model specifications. The findings underscore the importance of targeted adaptation strategies for safeguarding agricultural productivity in Africa.

温度变化对农业构成重大挑战，影响作物产量、资源利用和粮食安全。了解这些动态对于评估风险和制定可持续的适应战略至关重要。本文研究了1993年至2022年46个非洲国家的温度对农业增加值的影响。采用了多种计量经济学方法，包括误差修正模型、脉冲响应分析和非参数部分核回归。结果表明，温度对农业增加值具有显著的负向影响。诊断确认协整和稳健性跨模型规范。这些发现强调了有针对性的适应战略对保护非洲农业生产力的重要性。

引用次数: 0

A-ppropriation in theory of language, mind, and technology: Reveals the epistemological problem in the development of learning machines 语言、思维和技术理论中的“占有”：揭示学习机发展中的认识论问题

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-09 DOI: 10.1016/j.sftr.2025.101621

Christian Delesep Ruhupatty, Lilawati Kurnia, Herdito Sandi Pratama

This article explores the foundational theories that underlie the development of learning machines and identifies a core epistemological problem within prevailing conceptions of language, mind, and technology. These domains, which frequently inform the design of learning systems, are typically grounded in representationalist assumptions. In contrast, this article advances a distinct framework through the theory of a-ppropriation, which refers to the mind-body capacity to appropriate—or manipulate—the essence of reality into personal perspectives and actions. Within this framework, human understanding is conceived as a direct engagement with the essence of reality, unmediated by representational structures, and expressed within comprehensible, articulable, and utilizable forms such as language, art, and technology. Accordingly, the learning machine is not understood as a mirror of human cognition, but as an embodiment of appropriation: a system designed to interpret data and prompts directly by locating their equivalent and parallel forms within both the data center and user input. As a result, the machine generates responses within a mode of “personal understanding.” In other words, it does not rely on representational modeling or conventional machine learning systems based on binary syllogism, but instead functions as an agentic machine—capable of interpreting novel data and prompts beyond its initial training parameters.

本文探讨了学习机器发展的基础理论，并在流行的语言、思维和技术概念中确定了一个核心认识论问题。这些领域经常为学习系统的设计提供信息，通常以表征主义假设为基础。相比之下，本文通过“挪用”理论提出了一个独特的框架，它指的是身心将现实的本质挪用或操纵成个人观点和行动的能力。在这个框架中，人类的理解被认为是与现实本质的直接接触，不受具象结构的中介，并以语言、艺术和技术等可理解、可表达和可用的形式表达。因此，学习机不应被理解为人类认知的镜子，而应被理解为占有的体现：一种通过在数据中心和用户输入中定位数据和提示的等价和平行形式来直接解释数据和提示的系统。因此，机器在“个人理解”模式下产生响应。换句话说，它不依赖于基于二元三段论的表征建模或传统机器学习系统，而是作为一个代理机器，能够解释新数据并提示超出其初始训练参数。

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引用次数: 0

Optimizing environmental performance of rice production in semi-arid Iran: An Life Cycle Assessment (LCA)-Multi-Objective Particle Swarm Optimization (MOPSO) approach 伊朗半干旱地区水稻生产环境绩效优化：生命周期评价-多目标粒子群优化方法

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-10 DOI: 10.1016/j.sftr.2026.101645

Mohammad Amiryousefi , Amin Lotfalian Dehkordi , Behzad Elhami

Rice production in water-scarce regions faces severe environmental and resource efficiency challenges that threaten long-term sustainability. This study introduces a novel integrated framework combining Life Cycle Assessment (LCA) with Multi-Objective Particle Swarm Optimization (MOPSO) to simultaneously minimize environmental impacts and optimize input use without compromising yield. A cradle-to-mill gate LCA was performed in a semi-arid region of Iran using the CML₂-baseline method across ten environmental categories. Results showed that electricity (34 %), diesel fuel (16 %) and irrigation equipment (14 %) were the dominant contributors to overall environmental burdens, particularly to global warming potential and fossil resource depletion. Through MOPSO-based optimization, total environmental damage was reduced by 48 %, while rice yield increased substantially (from 6299 to 10,422 kg ha⁻¹). Although the energy ratio declined from 1.13 to 0.47, the integrated model effectively demonstrated trade-offs between productivity and sustainability. These findings provide a quantitative decision-support framework for policymakers and environmental managers to promote technology-driven, resource-efficient, and climate-resilient rice farming systems in arid and semi-arid regions.

缺水地区的水稻生产面临严重的环境和资源效率挑战，威胁到长期可持续性。本研究提出了一种结合生命周期评估（LCA）和多目标粒子群优化（MOPSO）的集成框架，以在不影响产量的情况下最小化环境影响和优化投入使用。在伊朗的半干旱地区，使用cml2 -基线方法在十个环境类别中进行了从摇篮到磨坊门的LCA。结果表明，电力（34%）、柴油（16%）和灌溉设备（14%）是造成总体环境负担的主要因素，特别是对全球变暖潜势和化石资源枯竭的影响。通过基于mopso的优化，总环境破坏减少了48%，而水稻产量大幅增加（从6299公斤ha增加到10422公斤ha）。虽然能量比从1.13下降到0.47，但综合模型有效地展示了生产力与可持续性之间的权衡。这些发现为决策者和环境管理者在干旱和半干旱地区推广技术驱动型、资源节约型和气候适应型水稻种植系统提供了定量决策支持框架。

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引用次数: 0

Perception and safety behaviors in pesticide usage among farmers in Brebes regency: Efforts to enhance pesticide safety 布里布省农民农药使用认知与安全行为：加强农药安全的努力

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-10 DOI: 10.1016/j.sftr.2026.101643

Sukarjo , Hidayatuz Zu’amah , Cicik O. Handayani , Elisabeth S. Harsanti , Leny Latifah , Muhamad A. Musoddaq , Sri Handayani , Heny S.P. Rahayu , Suhartono

Pesticides are harmful substances that are highly regulated by government. Farmers’ understanding of pesticide management should align with their actions, but for various reasons, their behaviors often differ from their perceptions. This research aims to examine how farmers’ views influence their habits in managing pesticides in shallot cultivation in Brebes Regency and recommends solutions for modifying this behavior. Furthermore, the study analyzes farmers’ perspectives on pesticide management and their actual practices. The results show that 80.6% of farmers had positive perceptions . Moreover, their behaviors were good in pesticide storage (PS), pesticide mixing (PM), PPE safety (PPE), post-pesticide application (PPA), packaging destruction (PD), and personal hygiene (PH), with rates of 56.5%, 93.5%, 31.5%, 82.2%, 39.0%, and 81.8%, respectively. By examining the perception and behavior index, it was revealed that farmers had a perception index of 0.73, indicating safe pesticide management, while the safe behavior index was achieved in PS (0.54), PM (0.87), PPA (0.75), and PH (0.82). Conversely, unsafe behavior was noted in PPE (0.34) and PD (0.41). The discrepancy between perception and behavior in PPE and PD highlights the need for government assistance to provide the necessary facilities for proper implementation.

农药是受政府严格管制的有害物质。农民对农药管理的认识应与行动相一致，但由于种种原因，他们的行为往往与认识不同。本研究旨在研究农民的观点如何影响他们在布里布摄政的葱种植中管理农药的习惯，并建议改变这种行为的解决方案。此外，本研究还分析了农民对农药管理的看法和实际做法。结果显示，80.6%的农民对农业发展持积极态度。在农药储存（PS）、农药混合（PM）、防护用品安全（PPE）、农药施后（PPA）、包装销毁（PD）和个人卫生（PH）方面表现良好，分别为56.5%、93.5%、31.5%、82.2%、39.0%和81.8%。通过对感知和行为指数的检测，发现农户对农药安全管理的感知指数为0.73，而对PS（0.54）、PM（0.87）、PPA（0.75）和PH（0.82）的感知指数均达到安全行为指数。相反，PPE（0.34）和PD（0.41）存在不安全行为。个人防护装备和个人发展计划的认知和行为之间的差异突出表明，需要政府提供援助，为适当实施提供必要的便利。

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引用次数: 0

Economic viability and value chain analysis of summer tomato production in some selected areas of Bangladesh 孟加拉国一些选定地区夏季番茄生产的经济可行性和价值链分析

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2026-01-15 DOI: 10.1016/j.sftr.2026.101659

Pulak Sarker Bipu, Shakila Salam, Moumita Deb

A comprehensive assessment of a product's economic viability, along with a value chain analysis, is essential to identify opportunities for improvement, ascertain actual costs and margins, understand the interrelationships between activities, and enhance production efficiency. This study evaluates the economic viability and value chain of summer tomato cultivation, a sector gaining importance due to rising off-season demand and price premiums. A total of 50 summer tomato growers and 45 traders were selected using multi-stage sampling techniques from the Netrokona and Kishoreganj districts in Bangladesh. The results indicates that the adoption levels of ploughing, planting periods, seedling usage, pesticide application, and hormone use were high, whereas the use of urea, gypsum, MoP, boron, and zinc was low. The total cost of summer tomato cultivation was Tk. 2,75,606 per acre, while the average net return per acre was Tk. 3,43,364. The Benefit-Cost Ratio (BCR) of summer tomato cultivation was found to be 2.25, indicating that producing summer tomatoes is economically viable. Seven marketing channels were identified, with retailers contributing 42.58% of the overall value addition, marking the most significant contribution to the gross marketing margin. The summer tomato value chain in Bangladesh is sustainable due to its capacity to create income, encourage efficient resource utilization, enhance food security, and adapt to climatic changes. By maintaining investments in technology, training, and market systems, this value chain has the potential to flourish and contribute to a more resilient and inclusive agricultural economy.

对产品经济可行性的全面评估，以及价值链分析，对于识别改进机会，确定实际成本和利润，了解活动之间的相互关系以及提高生产效率至关重要。这项研究评估了夏季番茄种植的经济可行性和价值链，由于淡季需求和价格溢价的上升，这个部门变得越来越重要。采用多阶段抽样技术，从孟加拉国Netrokona和Kishoreganj地区共选择了50名夏季番茄种植者和45名贸易商。结果表明：土壤的耕作、种植年限、苗木用量、农药用量和激素用量较高，而尿素、石膏、MoP、硼和锌用量较低。夏番茄栽培总成本为275,606塔卡/亩，平均净收益为343,364塔卡/亩。夏番茄栽培的效益成本比（BCR）为2.25，表明生产夏番茄在经济上是可行的。我们确定了7个营销渠道，其中零售商贡献了42.58%的整体附加值，对总营销利润率的贡献最大。孟加拉国的夏季番茄价值链是可持续的，因为它有能力创造收入，鼓励有效利用资源，加强粮食安全，并适应气候变化。通过保持对技术、培训和市场体系的投资，这条价值链有可能蓬勃发展，并有助于建立更具弹性和包容性的农业经济。

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引用次数: 0

Climate change, food consumption and food security: Evidence from Ghana 气候变化、粮食消费和粮食安全：来自加纳的证据

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2025-12-05 DOI: 10.1016/j.sftr.2025.101565

Frank Adusah-Poku , John Bosco Dramani , Prince Boakye Frimpong

Climate change is considered a principal global threat to human existence and livelihood. A significant manifestation of climate change has been experienced through the occurrence of life-threatening weather conditions such as temperature and rainfall. This study sheds light on food consumption, rainfall and temperature shocks, household food access, household dietary diversity and food security based on four objectives. These include examining the impacts of climate change on food consumption and food security; examining how climate change affects alternative dimensions of food security; evaluating the extent to which these effects vary across heterogeneous groups; and exploring possible channel(s) through which climate change affects food consumption and food security. The study relied on the three waves of the Ghana Socioeconomic Panel dataset, covering the period, 2009–2019. The temperature and rainfall data are collected from the ERA5-Land Climate Reanalysis dataset by the European Center for Medium-Range Weather Forecasts (ECMWF). We find significant effects of climate change on household food security and food expenditure. Our results indicate that high temperature pushes households away from consuming diversified foods. Household (farm) income and agricultural yield emerged as a crucial mechanism through which climate change influences household food security.

气候变化被认为是对人类生存和生计的主要全球性威胁。气候变化的一个重要表现是出现危及生命的天气条件，如温度和降雨。本研究基于四个目标阐明了粮食消费、降雨和温度冲击、家庭粮食获取、家庭饮食多样性和粮食安全。其中包括审查气候变化对粮食消费和粮食安全的影响；研究气候变化如何影响粮食安全的其他方面；评估这些影响在异质群体中的差异程度；探索气候变化影响粮食消费和粮食安全的可能渠道。该研究依赖于加纳社会经济小组的三波数据集，涵盖了2009-2019年。温度和降雨量数据来自欧洲中期天气预报中心（ECMWF）的era5陆地气候再分析数据集。我们发现气候变化对家庭粮食安全和粮食支出有显著影响。我们的研究结果表明，高温使家庭远离多样化的食物消费。家庭（农场）收入和农业产量成为气候变化影响家庭粮食安全的关键机制。

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引用次数: 0

The digital dividend in agriculture: evidence from vietnam’s export sector 农业的数字红利：来自越南出口部门的证据

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures

Pub Date : 2026-06-01 Epub Date: 2025-12-12 DOI: 10.1016/j.sftr.2025.101592

Do Thi Trang , Ngo Thi Tuyet Mai , Tran Thi Huyen Trang , Le Thanh Ha

In recent years, Vietnam has seen a number of changes due to digitalization, particularly in the agricultural sector. The analysis used the Panel Vector Autoregressive (PVAR) approach and a dynamic panel threshold model using data from 63 Vietnamese provinces between 2012 and 2022. The results showed that agricultural exports consistently had a beneficial impact on ICT over the course of time, but agricultural exports harmed. Additionally, the ICT threshold quantity is 0.54. ICT has a favorable effect on agricultural exports below the threshold but a detrimental effect above it. These results are in line with the fact that, compared to centrally administered cities, the majority of Vietnam's agricultural, forestry, and fisheries-focused provinces have lower degrees of digital transformation. In contrast, provinces with above-threshold ICT levels place more emphasis on industrial and service growth, which reduces ICT's direct impact on forestry, fishery, and agriculture. In order to promote agricultural digitalization practices, governments must prioritize investments in digitization. They must also create rules that balance interests and increase local output and export capacity.

近年来，由于数字化，越南发生了许多变化，特别是在农业领域。该分析使用了面板向量自回归（PVAR）方法和动态面板阈值模型，使用了2012年至2022年越南63个省份的数据。结果表明，在一段时间内，农产品出口始终对ICT产生有益影响，但农产品出口造成损害。ICT阈值为0.54。信息通信技术对低于阈值的农产品出口有有利影响，高于阈值则有不利影响。这些结果与以下事实相一致：与中央管理的城市相比，越南大多数以农业、林业和渔业为重点的省份的数字化转型程度较低。相比之下，ICT水平高于阈值的省份更重视工业和服务业的增长，这降低了ICT对林业、渔业和农业的直接影响。为了促进农业数字化实践，政府必须优先考虑对数字化的投资。它们还必须制定规则，平衡利益，增加本地产出和出口能力。

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引用次数: 0