Socio-economic Planning Sciences最新文献_第7页

Uneven paths toward sustainability in Africa: A multidimensional and Spatio-temporal assessment of SDG progress (2000–2022) 非洲可持续发展道路的不平衡：可持续发展目标进展的多维时空评估（2000-2022年）

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-17 DOI: 10.1016/j.seps.2025.102355

Andrea Ciacci , Enrico Ivaldi , Tiziano Pavanini

The present study undertakes an analysis of the progress of African countries towards achieving the Sustainable Development Goals (SDGs) from 2000 to 2022. The study employs the DP2 index to evaluate the dimensions of sustainable development across the continent. In addition, the application of cluster analysis facilitates the identification of groups of countries with similar development patterns. The results highlight that, despite some localized progress, deep inequalities persist among African countries, with diverging sustainable development trajectories and a tendency for polarization between groups of countries. Temporal analysis highlights incremental and positive transitions to SDGs in different countries, while others experience negative inertia. The originality of this study lies in the temporal and spatial comparison of African countries' SDGs and the identification of differences in evolutionary patterns. The research makes an original contribution to theory by outlining typological differences at a country- and regional level. Policymakers can leverage these findings to develop effective context-specific strategies for advancing transition toward SDGs.

本研究分析了2000年至2022年非洲国家在实现可持续发展目标（sdg）方面的进展。该研究采用DP2指数来评估整个非洲大陆的可持续发展维度。此外，聚类分析的应用有助于确定具有类似发展模式的国家组。结果突出表明，尽管局部取得了一些进展，但非洲国家之间仍然存在严重的不平等，可持续发展轨迹各异，国家集团之间有两极分化的趋势。时间分析强调了不同国家向可持续发展目标的渐进和积极过渡，而其他国家则经历了消极的惯性。本研究的创新之处在于对非洲国家可持续发展目标的时空比较和进化模式差异的识别。该研究通过概述国家和地区层面的类型差异，对理论做出了原创性贡献。政策制定者可以利用这些发现制定有效的具体战略，以推进向可持续发展目标的过渡。

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引用次数: 0

Spatial suitability and facility location planning for ammunition depots in Egypt: An integrated GIS-based MCDM approach 埃及弹药库的空间适宜性和设施位置规划：基于gis的综合MCDM方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-16 DOI: 10.1016/j.seps.2025.102354

Ali Younes , Mohamed O. Abu Ghazala , Tamer A. Al-Sabbagh , Hamdy N. Eid , Mohamed A. El-Shenawy

The strategic siting of ammunition depots is a critical component of national safety and risk mitigation planning. Proper location selection minimizes potential threats to public safety and reduces the socio-economic impact of hazardous events. This study develops a spatial decision support model to identify optimal depot locations in Egypt, a developing country facing complex security and environmental challenges. The methodology integrates Geographic Information Systems (GIS) with Multi-Criteria Decision-Making (MCDM), specifically employing the Ordinal Priority Approach (OPA) to derive weights based on expert input. A total of seven evaluation criteria and seventeen spatial constraints were selected and validated by twelve subject-matter experts through structured surveys. The model also includes a sensitivity analysis to evaluate the robustness of outcomes under parameter variability. Results indicate that 44.36 % of Egypt's land area is suitable for ammunition depot siting, with 4.54 % highly suitable, 83.45 % moderately suitable, and 12.01 % marginally suitable. North Sinai and Matrouh governorates emerged as the most favorable regions. Ten potential locations are proposed within the highly suitable areas, offering actionable insights for defense infrastructure planning. The findings support evidence-based policymaking in the defense sector and demonstrate the value of spatial decision tools in optimizing sensitive facility siting within socio-economic and environmental frameworks.

弹药库的战略选址是国家安全和减少风险规划的一个关键组成部分。适当的地点选择可以最大限度地减少对公共安全的潜在威胁，并减少危险事件的社会经济影响。本研究开发了一个空间决策支持模型，以确定埃及这个面临复杂安全和环境挑战的发展中国家的最佳仓库位置。该方法将地理信息系统（GIS）与多准则决策（MCDM）相结合，特别是采用顺序优先级方法（OPA）根据专家输入得出权重。由12位学科专家通过结构化调查，选择了7个评价标准和17个空间约束条件。该模型还包括敏感性分析，以评估参数变异性下结果的稳健性。结果表明，埃及44.36%的国土面积适合弹药库选址，其中高度适宜占4.54%，中等适宜占83.45%，中等适宜占12.01%。北西奈省和马特鲁省成为最有利的地区。在高度合适的区域内提出了10个潜在地点，为国防基础设施规划提供了可操作的见解。研究结果为国防部门的循证决策提供了支持，并证明了空间决策工具在优化社会经济和环境框架下敏感设施选址方面的价值。

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引用次数: 0

Productive vocation - A methodological proposal for the analysis of territorial factors of localization and specialization as drivers of development 生产性职业-分析本地化和专业化作为发展驱动力的地域因素的方法论建议

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-16 DOI: 10.1016/j.seps.2025.102357

Sergio Soza-Amigo , Claudio Mancilla , Luz María Ferrada , Jorge Parada

This paper presents the phenomenon referred to as Productive Vocation (PV), which is a methodological proposal of this study to measure and promote the economic development of territories. PV is defined as the existence of high productive sensitivity (elasticity) in response to a group of structural similarities (labor, productive capacity, functionality, specialization, entrepreneurship, among others) and interaction with other territories. The study focuses on the nodal centers of the Chilean macrozones Norte Chico and Patagonia from 2008 to 2018 as reference territories.

It was observed that the presence of this PV allows centers to act as true engines of development, with similarity and interaction fostering productive relationships. However, given the differences between the two macrozones, policies must be tailored to each territory, taking into account the variables that sensitize productive exchange.

Finally, it was observed how smaller centers (or intermediate cities) pressure and complement the larger ones to increase their sensitivities.

本文提出了生产性职业（PV）现象，这是本研究衡量和促进领土经济发展的方法建议。PV被定义为对一组结构相似性（劳动力、生产能力、功能、专业化、企业家精神等）和与其他领域的互动做出反应的高生产敏感性（弹性）的存在。该研究的重点是2008年至2018年智利宏观区域北奇科和巴塔哥尼亚的节点中心作为参考区域。据观察，这种PV的存在使中心成为发展的真正引擎，相似性和互动促进了生产关系。但是，鉴于两个宏观区之间的差异，必须根据每个地区的情况制定政策，同时考虑到影响生产性交换的各种变数。最后，我们观察到较小的中心（或中间城市）如何对较大的中心施加压力并补充它们，以提高它们的敏感性。

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引用次数: 0

Operational decision-making for a leasing-selling closed-loop supply chain with authorized remanufacturing under carbon cap and trade policy 碳排放限额和交易政策下授权再制造的租售闭环供应链运营决策

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-16 DOI: 10.1016/j.seps.2025.102356

Biyu Liu , Wanying Chen , Haidong Yang

Strict environmental regulations have led enterprises to emphasize the role of leasing in facilitating the return of used products for remanufacturing. How to make optimal operational decisions in a leasing-selling closed-loop supply chain (CLSC)? How does the carbon cap and trade policy (CCTP) affect operational decisions in a leasing and selling CLSC? To answer the above questions, this paper proposes four operational decision models for a leasing-selling CLSC under royalty/fixed-fee authorization strategy with and without the CCTP, respectively, are proposed. The optimal authorization strategies and operational decisions of entities in the CLSC and the win-win situation are analyzed. The results indicate: (1) There exists a win-win situation. Without the CCTP, it is influenced by the manufacturing cost per unit of new product (NP) used for leasing. When this cost is high the fixed-fee authorization strategy within a certain range authorization fee is a win-win option. Under the CCTP, besides the influence of the manufacturing cost per unit of NP used for leasing, the carbon emissions per unit of NP also affect the win-win situation. (2) When carbon emission savings are medium, the quantity of remanufactured products leased increases with the carbon trading price under the royalty authorization strategy while the opposite is true for the fixed-fee authorization strategy. (3) The increase in the remaining value of product at lease expiration makes the CLSC more environmentally friendly and enhances the emission reduction effect of the CCTP.

严格的环境法规促使企业强调租赁在促进废旧产品回收再制造方面的作用。租售闭环供应链中如何做出最优经营决策？碳排放限额和交易政策（CCTP）如何影响租赁和销售CLSC的运营决策？为了回答上述问题，本文提出了租售CLSC在版税/固定费用授权策略下的四种运营决策模型，分别提出了有和没有CCTP的四种运营决策模型。分析了CLSC中各实体的最优授权策略和运营决策，以及双赢的情况。结果表明：(1)存在双赢局面。在没有CCTP的情况下，租赁成本受每单位新产品（NP）制造成本的影响。当此成本较高时，在一定的授权费用范围内采用固定费用授权策略是一种双赢的选择。在CCTP下，除了租赁使用的每单位NP的制造成本影响外，每单位NP的碳排放量也影响着双赢的局面。(2)当碳排放节约量中等时，特许权使用费授权策略下的再制造品租赁数量随碳交易价格的增加而增加，而固定费用授权策略下则相反。(3)产品到期剩余价值的增加使CLSC更加环保，增强了CCTP的减排效果。

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引用次数: 0

The impact of artificial intelligence on corporate ESG greenwashing 人工智能对企业ESG洗绿的影响

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-14 DOI: 10.1016/j.seps.2025.102351

Zhonghua Cheng , Guang Yang

As the core driver of the new round of technological innovation, artificial intelligence (AI) is profoundly transforming the governance models of enterprises, which may thus exert a significant impact on corporate ESG greenwashing. Accordingly, this research analyzes the listed enterprises in the A-share market from 2010 to 2023, employing a double machine learning (DML) model to examine the impact of AI on corporate ESG greenwashing. The findings reveal that: (1) AI significantly inhibits corporate ESG greenwashing. This conclusion remains robust after a series of tests, including model re-specification, variable substitution, and checks for endogeneity issues. (2) AI inhibits corporate ESG greenwashing by improving regulatory efficiency and reducing inefficient investments. (3) The AI's suppressive impact on corporate ESG greenwashing exhibits heterogeneous effects across corporate characteristics, particularly pronounced in state-owned enterprises, polluting enterprises, and large enterprises.

人工智能（AI）作为新一轮技术创新的核心驱动力，正在深刻改变企业的治理模式，从而可能对企业ESG“漂绿”产生重大影响。据此，本研究以2010 - 2023年a股上市企业为分析对象，采用双机器学习（DML）模型考察人工智能对企业ESG“漂绿”的影响。研究发现：(1)人工智能显著抑制企业ESG洗绿。经过一系列测试，包括模型重新规范、变量替换和内生性问题检查，这一结论仍然是稳健的。(2)人工智能通过提高监管效率和减少低效投资，抑制企业ESG“漂绿”。(3)人工智能对企业ESG洗绿的抑制作用在不同的企业特征中表现出异质效应，在国有企业、污染企业和大型企业中尤为明显。

引用次数: 0

Moving from the South of Italy: The parental role on student mobility for tertiary education 从意大利南部迁移：父母在高等教育学生流动中的作用

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-14 DOI: 10.1016/j.seps.2025.102347

Francesco Salomone Marino, Maria Berrittella

This article examines how differently the family background affects the choice of sons and daughters to move to another region for tertiary education and how the mother’s role on student mobility differs from that of the father. We apply multinomial logistic regression models to longitudinal data on high school-university transition regarding southern students enrolled at university in Italy. We treat missing data for parental educational and occupational variables using multiple imputation combined with inverse probability weighting. In light of a re-examination of the concept of dominance, the results are an interplay amongst parental education and occupation, parental and descendant gender, and geographical mobility trajectories. The findings highlight that a linear order of dominance exists on student mobility from the South to the northern regions, which is associated to the parents with high education level and in the highest positions in the occupational hierarchy. Nonlinear dominance in some cases may emerge, because disadvantaged parents invest in student mobility to allow to the descendants to better their social position with respect to their parents. Mothers are more dominant on daughters’ mobility for the universities in the South or Centre of Italy. Self-employed parents matter for the sons, if they are South to Centre movers.

本文考察了家庭背景对子女选择到另一个地区接受高等教育的影响有何不同，以及母亲在学生流动中的作用与父亲的作用有何不同。我们应用多项逻辑回归模型对在意大利上大学的南方学生高中到大学过渡的纵向数据进行分析。我们使用多重插值结合逆概率加权来处理父母教育和职业变量的缺失数据。根据对优势概念的重新审视，结果是父母教育和职业、父母和后代性别以及地理流动轨迹之间的相互作用。研究结果表明，南向北的学生流动存在线性优势顺序，这与父母受教育程度高、职业等级最高有关。在某些情况下，可能会出现非线性优势，因为弱势父母投资于学生的流动性，让后代能够提高他们相对于父母的社会地位。母亲在女儿是否能进入意大利南部或中部的大学方面占主导地位。如果孩子们想从南部搬到中部，那么自雇父母对他们来说很重要。

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引用次数: 0

Preference using Root Value based on Aggregated Normalizations (PROVAN): A data-driven method for socio-economic and innovation assessment 基于聚合归一化（PROVAN）的根值偏好：一种数据驱动的社会经济和创新评估方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-13 DOI: 10.1016/j.seps.2025.102343

Sanjib Biswas , Nibir Khawash , Prasenjit Chatterjee , Edmundas Kazimieras Zavadskas

Socio-economic development (SED) remains a critical priority for policymakers aiming to foster inclusive growth and drive national progress. This study presents a comprehensive multi-criteria assessment of regional SED across 16 Indian states, focusing on the influence of innovation (INV) performance and foreign direct investment (FDI) on achieving sustainable development goals (SDGs). A new multi-criteria decision-making (MCDM) method, called Preference using Root Value based on Aggregated Normalisations (PROVAN), is introduced in this paper to enhance decision accuracy by integrating five different normalization techniques. Criteria weights are determined using an extended version of Weights by ENvelope and SLOpe (WENSLO) method, which incorporates multiple normalization strategies to improve robustness. The evaluation considers nine SED and seven INV criteria derived from secondary data sources. The causal relationships are statistically analyzed using Somer's δ test, and the model's reliability is confirmed through comparative and sensitivity analyses. Results reveal that Maharashtra emerges as the top-performing state in both SED (1.5572) and INV (1.5473), followed by Tamil Nadu and Karnataka, indicating strong performance across socio-economic and innovation indicators. The findings highlight significant inter-state disparities and confirm that states with stronger innovation capabilities tend to achieve better socio-economic outcomes. FDI is shown to positively influence sustainable economic development, reinforcing the strategic importance of attracting capital to advance SDGs. The proposed PROVAN-WENSLO framework offers a robust and adaptable tool for regional development planning and policy formulation.

对于旨在促进包容性增长和推动国家进步的政策制定者来说，社会经济发展仍然是一个关键的优先事项。本研究对印度16个邦的区域SED进行了综合多标准评估，重点关注创新（INV）绩效和外国直接投资（FDI）对实现可持续发展目标（sdg）的影响。本文提出了一种新的多准则决策方法，即基于聚合归一化的根值偏好（PROVAN），通过集成五种不同的归一化技术来提高决策精度。采用扩展版的包络斜率加权（WENSLO）方法确定标准权重，该方法结合了多种归一化策略以提高鲁棒性。该评估考虑了来自二手数据源的9个SED和7个INV标准。采用Somer’s δ检验对因果关系进行统计分析，并通过比较分析和敏感性分析验证模型的可靠性。结果显示，马哈拉施特拉邦在SED（1.5572）和INV（1.5473）中表现最佳，其次是泰米尔纳德邦和卡纳塔克邦，表明在社会经济和创新指标方面表现强劲。研究结果强调了显著的州际差异，并证实了创新能力较强的州往往能取得更好的社会经济成果。事实证明，外国直接投资对可持续经济发展具有积极影响，从而加强了吸引资本推进可持续发展目标的战略重要性。拟议的PROVAN-WENSLO框架为区域发展规划和政策制定提供了强有力和适应性强的工具。

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引用次数: 0

Case scheduling system for enhanced judicial performance 实行案件排期制度，提高司法效能

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-13 DOI: 10.1016/j.seps.2025.102350

Maansi Gupta , Nomesh B. Bolia

A timely resolution of cases is an essential requirement of a judicial system. Avoidable delays in pronouncing judgements by courts can lead to public losing faith in the country's justice system. Judges in Indian courts are overburdened with cases that lead to delayed delivery of justice. The current study develops a framework to determine an optimum schedule of case hearings. The framework consists of mathematical models that aim to maximize the number of cases disposed during the planning horizon and minimize the duration of cases. The models can help judges enhance cases disposed through an improved utilization of their hearing time and prioritization of cases that need urgent attention. The framework is empirically tested for cases assigned to a judge in a district court in Delhi, India. Results from various scenarios indicate that the judicial performance can be improved as demonstrated by an increase in the number of cases resolved and reduction in the average duration of cases. We also determine the judicial output if the courts adopt a first-come, first-served approach wherein the older cases are scheduled first. Our models perform better compared to this approach as well, supporting the implementation of an optimized case scheduling system for enhanced judicial performance.

及时解决案件是司法系统的一项基本要求。法院在宣布判决时本可避免的延误可能导致公众对该国的司法系统失去信心。印度法院的法官因案件负担过重而导致司法延误。目前的研究开发了一个框架，以确定最佳时间表的案件听证。该框架由数学模型组成，其目的是在规划范围内最大化处理的案例数量并最小化案例持续时间。这些模型可以帮助法官通过更好地利用他们的听证时间和优先处理需要紧急关注的案件来增加案件的处理。该框架在印度德里地区法院分配给一名法官的案件中进行了实证检验。各种场景的结果表明，司法绩效可以通过增加案件数量和减少平均案件持续时间来改善。如果法院采用先到先得的方法，即先安排老案件，我们也会确定司法产出。与这种方法相比，我们的模型也表现得更好，支持优化案件调度系统的实施，以提高司法绩效。

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引用次数: 0

Post-shock resilience and preference for manufacturing? A study on Chinese provinces 冲击后的弹性和对制造业的偏好？中国各省研究

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-10 DOI: 10.1016/j.seps.2025.102346

Elena Prodi , Chiara Pollio , Marco R. Di Tommaso , Manli Huang

This study explores the evolving landscape of industrial policy in a post-shock global context, where fostering the resilience of strategic assets has become crucial for both advanced and emerging economies. Within this framework, the paper develops a novel integrated methodology to assist decision-makers in addressing the complexities of industrial policy design and implementation. Specifically, our approach accounts for multiple dimensions of resilience, enabling a nuanced understanding of territorial responses across different domains. We apply this methodology to examine the resilience of Chinese provinces across both industrial and social dimensions in the aftermath of the COVID-19 shock. Our results show that industrial and social resilience do not always align; rather, they can diverge significantly, even within the same regional clusters. These findings open new theoretical avenues for analyzing the interaction—and at times tension—between different resilience domains within a single territorial context. Furthermore, we find that the relationship between manufacturing specialization and resilience may not be straightforward. Among provinces with higher manufacturing specialization, resilience tends to manifest strongly in either the social or industrial dimension, depending on the specific characteristics of their manufacturing sectors. Additionally, we show that provinces with greater investment in social policies were generally better equipped to absorb shocks. Overall, our findings offer valuable insights for policymakers by providing a more nuanced understanding of resilience and highlighting where targeted interventions may be necessary across different domains to support more balanced and inclusive recovery trajectories.

本研究探讨了冲击后全球背景下不断变化的产业政策格局，在此背景下，培养战略资产的弹性对发达经济体和新兴经济体都至关重要。在此框架内，本文开发了一种新颖的综合方法，以帮助决策者解决产业政策设计和实施的复杂性。具体而言，我们的方法考虑了弹性的多个维度，从而能够对不同领域的领土反应进行细致入微的理解。我们应用这一方法来考察中国各省在2019冠状病毒病冲击后在工业和社会层面的复原力。我们的研究结果表明，工业和社会弹性并不总是一致的；相反，即使在相同的区域集群内，它们也可能出现显著差异。这些发现为分析单一地域背景下不同弹性域之间的相互作用（有时是紧张关系）开辟了新的理论途径。此外，我们发现制造业专业化和弹性之间的关系可能不是直接的。在制造业专业化程度较高的省份中，根据其制造业的具体特征，弹性倾向于在社会或工业维度上表现强烈。此外，我们还发现，在社会政策上投入更多的省份，通常能够更好地抵御冲击。总的来说，我们的研究结果为政策制定者提供了有价值的见解，提供了对弹性的更细致的理解，并强调了在不同领域可能需要有针对性的干预措施，以支持更平衡和包容的复苏轨迹。

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引用次数: 0

Best-worst multi-criteria decision-making method: A review of the literature 最佳-最差多标准决策方法：文献综述

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-10-09 DOI: 10.1016/j.seps.2025.102345

Pejman Peykani , Ali Emrouznejad , Mojtaba Nouri

The Best-Worst Method (BWM) has emerged as a powerful and efficient technique in the field of Multi-Criteria Decision-Making (MCDM), renowned for its simplicity, computational efficiency, and ability to address complex decision-making problems involving multiple conflicting criteria. As one of the leading MCDM methods, BWM has received significant attention across a wide range of disciplines and application areas. This paper aims to provide a comprehensive review and bibliometric analysis of BWM-related research from 2015 to June 2025. This study investigates the integration of BWM with other Multi-Attribute Decision-Making (MADM) techniques. It also systematically examines BWM's application in environments characterized by uncertainty and ambiguity, addressing critical methodological challenges. Furthermore, the research categorizes and evaluates real-world applications of BWM, demonstrating its practical relevance and effectiveness across various domains. The bibliometric analysis covers multiple dimensions, including document analysis to track publication growth and trends, keyword analysis to identify emerging research themes, source analysis to highlight influential journals and conferences, author analysis to recognize leading contributors, affiliation analysis to map institutional and geographical contributions, citation analysis to assess impactful studies, and application analysis to explore BWM's diverse real-world uses. By offering valuable insights into the current state of BWM research, this study provides a foundation for future research and promotes the broader adoption of BWM in decision-making processes.

最佳-最差方法（Best-Worst Method， BWM）是多准则决策（Multi-Criteria Decision-Making， MCDM）领域中一种强大而高效的技术，以其简单、计算效率高和处理涉及多个相互冲突的准则的复杂决策问题的能力而闻名。作为MCDM的主要方法之一，BWM在众多学科和应用领域受到了广泛的关注。本文旨在对2015年至2025年6月bwm相关研究进行综述和文献计量学分析。本研究探讨了BWM与其他多属性决策（MADM）技术的整合。它还系统地研究了BWM在不确定性和模糊性环境中的应用，解决了关键的方法论挑战。此外，该研究还对BWM的实际应用进行了分类和评估，展示了其在各个领域的实际相关性和有效性。文献计量分析涵盖了多个维度，包括跟踪出版物增长和趋势的文献分析、识别新兴研究主题的关键字分析、突出有影响力的期刊和会议的来源分析、识别主要贡献者的作者分析、绘制机构和地理贡献的隶属关系分析、评估有影响力的研究的引文分析，以及探索BWM在现实世界中的多种用途的应用分析。本研究为生物水管理研究的现状提供了有价值的见解，为未来的研究奠定了基础，并促进了生物水管理在决策过程中的更广泛采用。

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引用次数: 0