Socio-economic Planning Sciences最新文献

{"title":"Special issue on analytical models and AI for sustainable development – Enhancing decision-making","authors":"Ali Emrouznejad, Dima Rachid Jamali, Panagiotis D. Zervopoulos","doi":"10.1016/j.seps.2025.102402","DOIUrl":"10.1016/j.seps.2025.102402","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102402"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating sustainable last-mile delivery modes using IF-MAIRCA: The perspective of local authorities","authors":"Fulya Zaralı ,&nbsp;Şaban Fatih Yılmaz ,&nbsp;Neslihan Demirel ,&nbsp;Akram Elomiya ,&nbsp;Stefan Jovčić","doi":"10.1016/j.seps.2025.102393","DOIUrl":"10.1016/j.seps.2025.102393","url":null,"abstract":"<div><div>Significant changes have been observed in the shopping habits of urban populations, particularly following the onset of the COVID-19 pandemic. Shopping by physically going to the store has begun to be replaced by e-commerce shopping, offering advantages such as time savings, a wide variety of options, and opportunities for price comparison. Although online shopping enables modern urbanites to meet their needs comfortably, it increases the volume of commercial traffic in the city, resulting in emissions, parking problems, and air and noise pollution. For last-mile delivery (LMD)—one of the main contributors to commercial traffic in urban centers and defined as delivering orders to end customers—various alternative modes have been introduced in many countries and cities. These alternatives aim to replace conventional home delivery to reduce costs, lower energy consumption and emissions, eliminate failed deliveries, and address challenges such as low vehicle load rates and traffic congestion. Achieving these gains is closely related to the attitude of local authorities and the incentives and infrastructure provided by them. In this study, conventional home delivery and five alternative LMD modes (e-van, e-bike, drone, AGV, droid) are evaluated with a Multi-Criteria Decision-Making (MCDM) approach over a wide set of criteria from the perspective of local authorities. The IF-MAIRCA (Intuitionistic Fuzzy Multi-Attributive Ideal-Real Comparative Analysis) method is used to take into account the uncertainty in LMD processes and the intuition of decision-makers in the problem. The proposed framework is illustrated on a real-life problem in Kayseri, Türkiye. According to the results, the e-van was ranked first, followed by the e-bike, and the droid was ranked last. To test the consistency of the results obtained from IF-MAIRCA, a comparative analysis is conducted. An extended TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Grey Relational Analysis, and WASPAS (Weighted Aggregated Sum Product Assessment) methods are employed in an intuitionistic fuzzy environment for this purpose. Sensitivity analysis is also carried out to assess the robustness of the results against variations in the criteria weights. Analyses have shown that the performance rankings of alternatives obtained using different MCDM methods and varying criteria weights are generally consistent.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102393"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Foreword to the Special Issue “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organizations”","authors":"Grammatoula Papaioannou,&nbsp;Victor V. Podinovski","doi":"10.1016/j.seps.2025.102386","DOIUrl":"10.1016/j.seps.2025.102386","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102386"},"PeriodicalIF":5.4,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On education as a risky asset: Should the government help the working students?","authors":"Corrado Andini ,&nbsp;Pedro Telhado Pereira","doi":"10.1016/j.seps.2025.102388","DOIUrl":"10.1016/j.seps.2025.102388","url":null,"abstract":"<div><div>One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102388"},"PeriodicalIF":5.4,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Firms’ disclosure of university ties on their website: An explorative analysis of its role for innovation performance","authors":"Bastian Krieger ,&nbsp;Stefania Scrofani ,&nbsp;Linus Strecke","doi":"10.1016/j.seps.2025.102387","DOIUrl":"10.1016/j.seps.2025.102387","url":null,"abstract":"<div><div>This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102387"},"PeriodicalIF":5.4,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust optimization of emergency resource location and coupling allocation considering multiple uncertainties","authors":"Jingwen Li ,&nbsp;Xiang Zhang ,&nbsp;Fengxin Dai ,&nbsp;Liang Tang ,&nbsp;Sitong Liu","doi":"10.1016/j.seps.2025.102391","DOIUrl":"10.1016/j.seps.2025.102391","url":null,"abstract":"<div><div>Emergency resource location decision is strategic due to its high cost and long-lasting implications. There exist multiple potential uncertainties in disaster events that could lead to the current optimal location decision becoming suboptimal in the future, so it is crucial to consider possible emergency resource allocation as recourse decisions. This paper addresses the emergency resource location and allocation issue under uncertain demand, uncertain transportation cost, and disruption risk and proposes a two-stage robust framework. Especially, we categorize emergency resources into personnel and materials and consider their coupling relationship. The two-stage robust framework is reformulated utilizing duality, Karush-Kuhn-Tucker condition, and linearization methods. In addition, we develop an improved column-and-constraint generation algorithm to solve the proposed models. The experiments illustrate that the developed two-stage framework surpasses the established single-stage robust framework, and the presented improved column-and-constraint generation algorithm exhibits superior performance in comparison to the benders-dual cutting plane algorithm. Furthermore, the results reveal that increased fixed costs of opening supply points and uncertainty levels lead to higher total costs and computational time for the proposed seven models considering combinations of different uncertainties, with disruption risk significantly impacting model performance. To enhance resilience, it is recommended that emergency logistics decision-makers prioritize investments in transportation infrastructure and storage capacities at key supply points while adjusting uncertain budget parameters and disturbance ratios to optimize location and resource allocation, ensuring timely delivery of essential resources to disaster-affected areas.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102391"},"PeriodicalIF":5.4,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are European regions on the right track to achieve the 2030 strategic education and training targets? A comprehensive performance assessment","authors":"Maria João Durães ,&nbsp;Flávia Barbosa ,&nbsp;Giovanna D’Inverno ,&nbsp;Ana S. Camanho","doi":"10.1016/j.seps.2025.102390","DOIUrl":"10.1016/j.seps.2025.102390","url":null,"abstract":"<div><div>This paper focuses on the comprehensive assessment of regional performance in attaining the 2030 Strategic Framework for Education and Training (ET2030) established by the European Union. To this end, we propose a composite indicator framework based on robust Benefit-of-the-doubt models empirically validated through an extensive analysis of data spanning 32 countries and 101 NUTS-I level regions for 2019. We integrate contextual variables into a robust conditional model to ensure an equitable evaluation among regions grappling with distinct circumstances. Specifically, the unemployment rate and the percentage of the population holding national citizenship are considered. Moreover, the research identifies best practices from high-performing regions that can serve as benchmarks for underperforming areas. Analyzing regional-level data is crucial for understanding disparities between European regions and within countries.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102390"},"PeriodicalIF":5.4,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping research achievements on urban air mobility: A systematic literature review","authors":"Margarida R. Santos ,&nbsp;Sofia Kalakou ,&nbsp;Fernando A.F. Ferreira","doi":"10.1016/j.seps.2025.102392","DOIUrl":"10.1016/j.seps.2025.102392","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is a promising component of future mobility systems. To ensure its smooth and viable implementation, it is crucial that authorities, organizations, public services and stakeholders in general consider not only economic aspects but also environmental, safety and socio-economic factors through a holistic approach. However, the current literature primarily focuses on specific subtopics of UAM individually, failing to address the topic in an integrated and comprehensive manner. This study aims to overcome this limitation by conducting a Systematic Literature Review (SLR) on UAM, analyzing a database of 129 articles published between 2017 and 2023. Specifically, a bibliographic coupling analysis and a Multiple Correspondence Analysis (MCA) were performed. The results include a list of 150 indicators used to assess environmental, safety and socio-economic impacts of UAM, as well as the identification of four core thematic clusters: (1) <em>UAM Technology and its Sustainability</em>; (2) <em>Environmental Assessment</em>; (3) <em>Traffic Management for the Airspace Industry</em>; and (4) <em>Passenger Transport and Demand Management</em>. The findings of this research complement existing literature and contribute to the development of the field by shedding light on UAM’s key stakeholders, impacts and the indicators used to assess these impacts.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102392"},"PeriodicalIF":5.4,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Firm-level evidence on AI-driven output expansion and productivity in China","authors":"Quan Sun,&nbsp;Minjie Huang","doi":"10.1016/j.seps.2025.102389","DOIUrl":"10.1016/j.seps.2025.102389","url":null,"abstract":"<div><div>Artificial intelligence (AI) has the potential to transform productivity across industries, yet firm-level empirical evidence remains limited in emerging economies. This paper examines the impact of AI adoption on firm-level output growth and total factor productivity, using data from Chinese listed companies between 2009 and 2021. We measure AI investment through firm-level spending on software, cloud services, intellectual property, and advanced digital technologies disclosed in financial statements. This measurement approach reflects AI’s role as a general-purpose technology increasingly embedded in digital infrastructure and business processes—features that are not well captured by traditional proxies such as industrial robot usage. To address endogeneity, we employ a nonparametric production function estimation with instrumental variables, using regional variation in digital economy policy as an exogenous source. Results show that AI investment significantly boosts output, particularly in light manufacturing, chemicals, and high-tech sectors. While intermediate materials remain the primary input, AI’s contribution to aggregate output growth has steadily increased. AI adoption also enhances firms’ resilience during downturns, though the benefits are uneven—large firms gain substantially, whereas small and medium enterprises see more modest effects. Further analysis reveals short-run implementation costs that can temporarily reduce productivity, though persistent AI adoption yields divergent long-run outcomes across industries. Quantile regressions show that lower-productivity firms often realize initial gains that fade or reverse, while frontier firms enjoy sustained improvements. Finally, we identify strong positive spillovers: AI investments by nearby firms generate external productivity gains, highlighting the importance of innovation clusters. Overall, our findings position AI as a key driver of output and productivity in emerging economies, and emphasize the need for targeted, inclusive policy frameworks to support its widespread and equitable adoption.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102389"},"PeriodicalIF":5.4,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Delivering fresh produce during a lockdown: The post-pandemic pickup and distribution problem with time constraints","authors":"Tianyang Cai,&nbsp;Yusen Ye","doi":"10.1016/j.seps.2025.102383","DOIUrl":"10.1016/j.seps.2025.102383","url":null,"abstract":"<div><div>Motivated by the logistical challenges of distributing fresh produce during prolonged, government-enforced lockdowns, we investigate a novel problem: the Post-Pandemic Pickup and Distribution Problem with Time Constraints (PP-PDPTC). In the post-pandemic phase, supply and demand stabilize, yet food distribution remains constrained by rigid time windows and institutional rules. This setting requires a careful balance of effectiveness (demand fulfilment), equity (fair distribution), and efficiency (timely delivery). We propose two models for equity-aware food allocation. The first assumes that decision-makers possess prior knowledge of acceptable inequality levels (e.g., a maximum Gini coefficient) and treats equity as a constraint; the second embeds equity directly in the objective function, enabling dynamic trade-offs. We further devise a Transfer and Deprivation strategy that reallocates surplus food from overserved areas or trims excess allocations to improve equity. Coupled with an Adaptive Large Neighborhood Search algorithm for routing, this yields a two-stage heuristic framework. We test the models on a real-world case from Shanghai's Omicron lockdown in March 2022. Results reveal key trade-offs: pursuing equity can raise food waste under oversupply, increasing fleet size chiefly boosts effectiveness, whereas expanding vehicle capacity benefits equity. The heuristic consistently surpasses commercial solvers in solution quality and runtime, offering a practical tool for post-pandemic fresh-produce distribution under institutional constraints.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102383"},"PeriodicalIF":5.4,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}