Socio-economic Planning Sciences最新文献_第8页

Prepositioning of relief supplies jointly by a risk-averse humanitarian organisation and risk-neutral suppliers through an option contract 由规避风险的人道主义组织和风险中立的供应商通过期权合同共同预先部署救济物资

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-08 DOI: 10.1016/j.seps.2025.102348

T Devi Prasad Patra, J.K. Jha

Humanitarian organisations (HOs) depend heavily on option contracts (OCs) to manage the risks involved with relief supply prepositioning. In OCs, HOs often use expected payoffs to make risk-neutral decisions. The risk-neutral approach works best when the uncertain environment lacks catastrophic occurrences or the decision is frequently made under a similar environment. However, this approach may not be appropriate for prepositioning decisions in uncertain environments with catastrophic occurrences, which can have far-reaching effects. As such, this study examines a risk-averse HO teaming with various risk-neutral suppliers through OC to preposition relief supplies collectively to determine its optimal decision. The decisions follow a Stackelberg game between the HO and suppliers. We use the conditional value-at-risk (CVaR) measure and the expected profit to determine the prepositioning decisions of the HO and suppliers, respectively. We also assess the condition to coordinate the supply chain and analyse how the degree of HO's risk aversion affects stocking decisions. Furthermore, we compare the prepositioning quantity under OCs with that of a baseline model to identify the conditions under which OC is beneficial.

人道主义组织（HOs）在很大程度上依赖于期权合同（OCs）来管理救济物资预先部署所涉及的风险。在OCs中，HOs通常使用预期收益来做出风险中立的决策。当不确定的环境缺乏灾难性事件或决策经常在类似的环境下做出时，风险中性方法效果最好。然而，这种方法可能不适合在具有灾难性事件的不确定环境中预先定位决策，这可能会产生深远的影响。因此，本研究考察了风险厌恶型组织与各种风险中性供应商合作，通过OC集体预置救济物资，以确定其最优决策。决策遵循HO和供应商之间的Stackelberg博弈。我们分别使用条件风险价值（CVaR）度量和预期利润来确定HO和供应商的预先定位决策。我们还评估了协调供应链的条件，并分析了HO的风险厌恶程度如何影响库存决策。此外，我们比较了OC下的预定位数量与基线模型的预定位数量，以确定OC有利的条件。

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引用次数: 0

Coordinated governance for data value release in China 中国数据价值释放的协同治理

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-06 DOI: 10.1016/j.seps.2025.102344

Manman Cheng, Bin Zhang

This study aims to examine how data value can be effectively unlocked in China's regulated digital economy through coordinated governance among government agencies, industry organizations, and third-party platforms. Building on coordination theory, the research integrates qualitative analysis with quantitative techniques, including Latent Dirichlet Allocation (LDA) topic modeling and agent-based simulations, to identify the mechanisms that drive data value release. The study focuses on the evolving data governance frameworks in China, such as the Data Security Law and the Personal Information Protection Law, and analyzes the role of emerging data markets in cities like Beijing, Shanghai, and Shenzhen. The findings demonstrate that institutional collaboration not only addresses critical challenges—such as data ownership disputes, cross-border data flow restrictions, and the tension between innovation and regulation—but also generates significant socioeconomic impacts. Specifically, coordinated governance accelerates data-driven innovation, enhances industrial productivity, fosters the creation of new business models, and strengthens market competitiveness. This research provides actionable insights for policymakers and industry leaders seeking to design effective data governance strategies that balance economic growth with regulatory compliance and global standards.

本研究旨在探讨如何通过政府机构、行业组织和第三方平台之间的协调治理，在中国受监管的数字经济中有效释放数据价值。本研究以协同理论为基础，将定性分析与定量分析技术相结合，包括潜狄利克雷分配（Latent Dirichlet Allocation， LDA）主题建模和基于智能体的仿真，以确定驱动数据价值释放的机制。该研究重点关注了中国不断发展的数据治理框架，如《数据安全法》和《个人信息保护法》，并分析了北京、上海和深圳等城市新兴数据市场的作用。研究结果表明，机构合作不仅解决了关键挑战，如数据所有权纠纷、跨境数据流动限制以及创新与监管之间的紧张关系，而且还产生了重大的社会经济影响。具体而言，协调治理加快了数据驱动创新，提高了产业生产率，促进了新商业模式的创造，增强了市场竞争力。这项研究为政策制定者和行业领导者提供了可行的见解，帮助他们设计有效的数据治理策略，以平衡经济增长与法规遵从性和全球标准。

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引用次数: 0

How does open public data affect enterprise green transformation? 开放的公共数据如何影响企业绿色转型？

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-03 DOI: 10.1016/j.seps.2025.102342

Long Ling , Lu Hu , Shaoqiu Li , Xing Zhao , Xixi Ye

As the challenges of climate change and environmental deterioration intensify globally, enterprise green transformation (CGT) has become an essential strategy for advancing sustainable development. Nevertheless, there is currently little empirical research on how open public data (PDO) affects CGT. To evaluate the impact of PDO on CGT, this study uses Chinese listed enterprises data from 2007 to 2022. The research findings are follows: (1) PDO significantly promotes CGT. The impact of PDO gradually decreases as CGT increases. Following robustness and endogeneity tests, this conclusion is still true. (2) According to the results of heterogeneity tests, the promoting effect is more pronounced among enterprises located in cities with higher administrative level, operating within the manufacturing sector, and engaging in a greater number of green mergers and acquisitions. (3) PDO promotes CGT by facilitating digital transformation (DTS), exerting green development (GDE), and enhancing external supervision (ESE). These findings not only enrich the content of research on PDO and CGT but also provide valuable guidance and insights for practical policy formulation and social practice.

随着全球气候变化和环境恶化挑战的加剧，企业绿色转型已成为推动可持续发展的重要战略。然而，目前关于公开公共数据（PDO）如何影响CGT的实证研究很少。为了评估PDO对CGT的影响，本研究使用了2007 - 2022年的中国上市企业数据。研究发现：(1)PDO显著促进CGT。随着CGT的增加，PDO的影响逐渐减小。经过稳健性和内生性检验，这一结论仍然成立。(2)异质性检验结果显示，行政级别越高的城市、制造业内部的企业对绿色并购的促进作用越明显，参与绿色并购的企业越多。(3) PDO通过推进数字化转型（DTS）、实施绿色发展（GDE）和加强外部监督（ESE）来促进CGT。这些发现不仅丰富了PDO和CGT的研究内容，也为实际政策制定和社会实践提供了宝贵的指导和见解。

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引用次数: 0

Game theory meets circular economy and sustainability: Bargaining game range adjusted measure unleashed 博弈论满足循环经济与可持续性：议价博弈范围调整措施的释放

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-30 DOI: 10.1016/j.seps.2025.102341

Mohammad Tavassoli , Reza Farzipoor Saen

The depletion of resources and environmental degradation has underscored the need for sustainable resource use and global environmental protection. Consequently, countries worldwide aim to develop circular economies that achieve economic and environmental sustainability. In this context, setting production goals for a circular economy, which integrates production and recycling systems, becomes crucial. To address this challenge, we propose a novel approach that combines the bargaining game (BG) theory with the data envelopment analysis (DEA). First, using leader-follower analysis from BG theory, we introduce the range-adjusted measure (RAM) models to establish production goals in situations where competition exists between production and recycling stages. Next, based on the results obtained from the leader-follower models, we determine the maximum and minimum efficiency for each stage. Subsequently, we apply BG theory to create a RAM-DEA model called BGRAM-DEA. This model generates coordinated targets by considering the maximum and minimum efficiency of each stage. Importantly, the proposed BGRAM-DEA model effectively handles desirable and undesirable outputs, negative data, and properties such as translation invariance, unit invariance, and projection. To validate our methodology, we conduct a sustainability assessment for the production-recycling system in 28 EU countries under three different scenarios. Finally, we discuss strategies for improving sustainability in production-recycling systems with weak performance.

资源的枯竭和环境的退化突出了可持续利用资源和全球环境保护的必要性。因此，世界各国都致力于发展循环经济，实现经济和环境的可持续性。在这种情况下，为整合生产和回收系统的循环经济设定生产目标变得至关重要。为了应对这一挑战，我们提出了一种将讨价还价博弈（BG）理论与数据包络分析（DEA）相结合的新方法。首先，利用BG理论的领导-追随者分析，我们引入了范围调整措施（RAM）模型来建立生产和回收阶段之间存在竞争的生产目标。接下来，根据领导-追随者模型的结果，我们确定了每个阶段的最大和最小效率。随后，我们运用BG理论建立了RAM-DEA模型，称为BGRAM-DEA。该模型通过考虑各阶段的最大和最小效率，生成协调的目标。重要的是，所提出的BGRAM-DEA模型有效地处理所需和不需要的输出、负数据以及平移不变性、单位不变性和投影等属性。为了验证我们的方法，我们在三种不同的情况下对28个欧盟国家的生产回收系统进行了可持续性评估。最后，我们讨论了在绩效较差的生产回收系统中提高可持续性的策略。

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引用次数: 0

Assessing the resilience of water and wastewater utilities: A multi-criteria approach for Chile 评估水和污水处理设施的复原力：智利的多标准方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-29 DOI: 10.1016/j.seps.2025.102340

Alexandros Maziotis , Maria Molinos-Senante

Ensuring the operational resilience of water and wastewater utilities (WWUs) is critical for safeguarding public health, environmental sustainability, and service continuity in the face of natural and human-induced hazards. This study develops an innovative Operational Resilience Index (ORI) to comprehensively assess WWU operational resilience from a regulatory perspective. The ORI integrates multiple resilience indicators across three key dimensions—service performance, asset management, and water security—using a Multi-Criteria Decision Analysis (MCDA) approach, incorporating expert and stakeholder preferences through the Best-Worst Method (BWM). The methodology is applied to 29 WWUs in Chile, a country with high exposure to natural disasters. The weights assigned to resilience indicators indicate a preference for short-term service performance over long-term infrastructure resilience. The estimated ORI values range from 0.524 to 0.808, with the maximum achievable score being 1.000. It was evidenced that asset management represents the most critical area for improvement, indicating a need for regulatory incentives to promote infrastructure renewal. While no statistically significant differences in ORI scores were found based on WWU ownership structure (public, private, or concessioned), concessioned WWUs demonstrated statistically superior performance in asset management (p-value = 0.012), underscoring the need for targeted regulatory measures to strengthen this dimension in other ownership models The ORI provides a systematic benchmarking tool for regulators, enabling resilience-based performance assessments and targeted policy interventions.

在面对自然和人为危害时，确保水和废水公用事业的运行弹性对于保障公众健康、环境可持续性和服务连续性至关重要。本研究从监管的角度构建了一个创新的运营弹性指数（ORI），以全面评估WWU的运营弹性。ORI采用多标准决策分析（MCDA）方法整合了服务绩效、资产管理和水安全三个关键维度的多个弹性指标，并通过最佳-最差方法（BWM）结合了专家和利益相关者的偏好。该方法应用于智利的29个世界水单位，智利是一个自然灾害频发的国家。分配给弹性指标的权重表明，短期服务性能优于长期基础设施弹性。估计的ORI值范围为0.524 ~ 0.808，最大可实现分数为1.000。有证据表明，资产管理是最需要改进的领域，这表明需要采取监管激励措施来促进基础设施更新。虽然基于WWU所有权结构（公共、私人或特许）的ORI得分在统计上没有显著差异，但特许WWU在资产管理方面表现出统计上的优势（p值= 0.012），强调需要有针对性的监管措施来加强其他所有权模型中的这一维度。ORI为监管机构提供了系统的基准工具。实现基于弹性的绩效评估和有针对性的政策干预。

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引用次数: 0

A hybrid method combining three-way decision and DEA game cross-efficiency for procurement mode selection in contract farming 三向决策与DEA博弈交叉效率相结合的合同农业采购模式选择混合方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-29 DOI: 10.1016/j.seps.2025.102336

Sen Liu , Rongrong Jiang , Ling Liu , Felix T.S. Chan

The order procurement mode in contract farming has facilitated the transformation of agriculture from small-scale production to large-scale, intensive production, thus promoting agricultural modernization. However, with the expansion of agricultural operations and increasing complexity of industrial chains, the applicability and flexibility of existing order procurement models face challenges. A single model can no longer cope with the changing production environment. Moreover, few rigorous decision-making tools exist for selecting the appropriate order procurement model. To address these issues, this study proposes a hybrid method combining three-way decision and DEA game cross-efficiency to help agricultural product distribution enterprises in optimizing their selection of order procurement modes. The method involves calculating decision-makers’ weights using cosine similarity based on T-spherical fuzzy sets, constructing a comprehensive evaluation matrix, and combining three-way decision theory with the DEA game cross-efficiency method. It estimates conditional probabilities, constructs a loss function matrix, and determines the probability threshold based on the game cross-efficiency results. Finally, the method's effectiveness is validated through three case studies of Group R, Enterprise H, and Enterprise K, with the comparative experiments further demonstrating the method's accuracy and effectiveness.

合同农业中的订单采购模式，促进了农业由小规模生产向规模化、集约化生产的转变，从而促进了农业现代化。然而，随着农业经营规模的扩大和产业链的日益复杂，现有订单采购模式的适用性和灵活性面临挑战。单一模型已无法应对不断变化的生产环境。此外，很少有严格的决策工具来选择合适的订单采购模式。针对这些问题，本文提出了一种三方决策与DEA博弈交叉效率相结合的混合方法，帮助农产品流通企业优化订单采购模式的选择。该方法采用基于t球模糊集的余弦相似度计算决策者权重，构建综合评价矩阵，将三向决策理论与DEA博弈交叉效率法相结合。它估计条件概率，构造损失函数矩阵，并根据博弈交叉效率结果确定概率阈值。最后，通过R集团、H企业和K企业三个案例验证了该方法的有效性，对比实验进一步验证了该方法的准确性和有效性。

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引用次数: 0

Assessing the effectiveness of recent pension reforms: The French experiment 评估近期养老金改革的有效性：法国的实验

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-27 DOI: 10.1016/j.seps.2025.102335

Jorge Miguel Bravo , Mercedes Ayuso , Najat El Mekkaoui

Reforming public and private pension systems to address the challenges posed by population ageing and a range of economic, labour market, social, political, geopolitical, technological, legal, and regulatory shocks remains a major policy priority for many countries. A widely supported response has been to raise minimum and statutory retirement ages and restrict early exit pathways. These measures aim to boost labour force participation and employment among older individuals, stimulate potential GDP growth and consumption, ease pressure on social security systems, and improve public finances. However, it remains uncertain whether pension reforms alone can prevent a decline in the relative size of the labour force or ensure intergenerational fairness. This paper assesses the effectiveness of recent retirement age reforms in France in stabilising the old-age dependency ratio and securing long-term financial sustainability. It also examines whether these reforms promote intergenerational equity. The findings suggest that the reforms fall short of offsetting the projected decline in the labour force, achieving fairness across generations, and maintaining fiscal balance. The results underscore the need for a holistic and dynamic approach to retirement age policy design.

改革公共和私营养老金制度，以应对人口老龄化和一系列经济、劳动力市场、社会、政治、地缘政治、技术、法律和监管冲击带来的挑战，仍然是许多国家的主要政策重点。一个得到广泛支持的回应是提高最低退休年龄和法定退休年龄，并限制提前退出途径。这些措施旨在提高劳动力参与率和老年人就业率，刺激潜在的GDP增长和消费，缓解社会保障体系的压力，改善公共财政。然而，尚不确定仅靠养老金改革能否阻止劳动力相对规模的下降，或能否确保代际公平。本文评估了法国最近退休年龄改革在稳定老年抚养比和确保长期财务可持续性方面的有效性。它还考察了这些改革是否促进了代际公平。研究结果表明，这些改革无法抵消预计的劳动力减少、实现代际公平以及维持财政平衡。研究结果强调了对退休年龄政策设计采取全面和动态方法的必要性。

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引用次数: 0

Knowledge and technology transfer in German universities: An exploratory study leveraging information from university websites 德国大学的知识和技术转移：利用大学网站信息的探索性研究

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-26 DOI: 10.1016/j.seps.2025.102333

Torben Schubert , Denilton Darold , Henning Kroll

Despite the multidimensionality of knowledge and technology transfer (KTT), existing quantitative evaluations predominantly focus on a limited range of channels, often resulting from the availability of data rather than theoretical considerations. To address this gap, we leverage unstructured data from university websites to develop indicators that provide a comprehensive view of universities’ KTT activities. Applying large-language-transformers to scraped websites of German universities, we identify five distinct KTT dimensions: engagement in collaborative research consortia with industry, technical consulting activities, start-up activities, the development of regional tech transfer hubs, as well as technology transfer offices. Based on exploratory regression analyses, we find that the intensity of the type of KTT activities varies with the regional environment as well as university characteristics. Moreover, our regressions unveil a synergistic relationship between KTT and basic research, where this finding again seems to depend strongly on the type of KTT activity.

尽管知识和技术转让具有多方面，但现有的定量评价主要集中在有限范围的渠道上，往往是由于数据的可得性，而不是理论上的考虑。为了解决这一差距，我们利用大学网站上的非结构化数据来开发指标，提供大学KTT活动的全面视图。将大型语言转换器应用于德国大学的网站，我们确定了五个不同的KTT维度：与行业合作研究联盟的参与，技术咨询活动，启动活动，区域技术转移中心的发展，以及技术转移办公室。基于探索性回归分析，我们发现KTT活动类型的强度随区域环境和大学特点而变化。此外，我们的回归揭示了KTT和基础研究之间的协同关系，这一发现似乎再次强烈依赖于KTT活动的类型。

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引用次数: 0

Inclusive education and parental choice: How student characteristics affect school efficiency 全纳教育与家长选择：学生特征如何影响学校效率

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-25 DOI: 10.1016/j.seps.2025.102337

Simona Ferraro , Kaire Põder , Triin Lauri

This paper investigates how inclusive education reforms intersect with parental choice to influence school efficiency in Estonia - a system that is formally comprehensive, but increasingly selective in practice, leading to quasi-market dynamics. Applying a two-stage double-bootstrap Data Envelopment Analysis (DEA) on post-pandemic data from over 300 lower secondary schools, we assess how non-discretionary student characteristics (environmental variables), particularly special educational needs (SEN), parental income and immigration background, affect school-level efficiency. Our findings show that higher proportions of SEN students and students from low-income families are systematically associated with lower efficiency, especially in contexts where schools have no autonomy over admissions, such as neighbourhood schools. In contrast, oversubscribed or elite schools can afford to be selective, reinforcing reputational hierarchies and equity-harming quasi-market dynamics. By linking efficiency analysis with educational governance, we discuss how school market characteristics can easily jeopardise the inclusive education reform. Evidence shows that in a hybrid market, non-selective schools are worse positioned in terms of efficiency than selective schools.

本文研究了爱沙尼亚的全纳教育改革如何与家长选择交叉影响学校效率——这是一个正式全面的系统，但在实践中越来越有选择性，导致准市场动态。对来自300多所初中的大流行后数据采用两阶段双引导数据包膜分析（DEA），我们评估了非自由决定的学生特征（环境变量），特别是特殊教育需求（SEN）、父母收入和移民背景如何影响学校层面的效率。我们的研究结果表明，特殊教育学生和低收入家庭学生的比例越高，效率就越低，特别是在学校没有招生自主权的情况下，比如邻里学校。相比之下，超额认购的学校或精英学校可以选择，加强声誉等级和损害公平的准市场动态。通过将效率分析与教育治理联系起来，探讨了学校市场特征如何容易危及全纳教育改革。有证据表明，在混合型市场中，非精英学校的效率不如精英学校。

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引用次数: 0

Enhancing public safety through integrated UAV and police patrols 通过集成无人机和警察巡逻加强公共安全

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-09-24 DOI: 10.1016/j.seps.2025.102334

Shangyao Yan, Tsung-Hsun Hsieh, Yu-Chien Lai

The police departments in Taiwan have been facing a problem in recent years due to the shortage and aging of the police force. The government and research institutes have developed unmanned aerial vehicles (UAVs) with higher endurance, combined with advanced key technologies, to support police patrols under the concept of the “Aerial Police Vehicle”. This development aims to reduce the workload of the police and make it possible to conduct police patrols in the future by using a combination of police vehicles and UAVs. Given the characteristics of police vehicles and UAVs, this study adopts the time-space network technique, incorporates relevant operational constraints, and adopts the objective of maximizing crime coverage rates to develop the routing and scheduling model for combined UAV-police vehicle patrols. Additionally, this study proposes a heuristic algorithm that utilizes a decomposition technique of patrol resources to efficiently solve this complex problem. The performance of the proposed algorithm was evaluated using a case study created from practical data from a police department in Taiwan, demonstrating that for a large-scale problem with 9 police stations and 91 patrol points, the proposed algorithm achieved a solution with an objective value of 906 for the maximized cumulative crime coverage rate in approximately 884 s, while a commercial solver (CPLEX) failed to find a feasible solution within a time limit of 28,800 s. The recommendations based on the sensitivity and scenario analysis results can be used as a reference for decision-makers to gradually replace police vehicles with UAVs in the future.

近年来，由于警力短缺和老龄化，台湾的警察部门一直面临着一个问题。在“空中警车”的概念下，政府和研究机构开发了具有更高续航力的无人驾驶飞行器（uav），结合先进的关键技术，以支持警察巡逻。这一发展旨在减少警察的工作量，并使未来通过使用警车和无人机的组合进行警察巡逻成为可能。针对警车和无人机的特点，采用时空网络技术，结合相关操作约束，以犯罪覆盖率最大化为目标，建立了无人机-警车联合巡逻的路径调度模型。此外，本研究提出一种启发式演算法，利用巡逻资源分解技术来有效解决这个复杂的问题。以台湾某警察部门的实际数据为例，对所提出算法的性能进行了评估，结果表明，对于具有9个警察局和91个巡逻点的大规模问题，所提出的算法在大约884秒内获得了最大累积犯罪覆盖率的客观值为906的解，而商业求解器（CPLEX）未能在28800秒的时间限制内找到可行的解。基于灵敏度和场景分析结果的建议，可作为决策者在未来逐步用无人机取代警车的参考。

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引用次数: 0