Socio-economic Planning Sciences最新文献

{"title":"Long-term workforce planning for home healthcare1","authors":"Yanyue (Lillian) Ding,&nbsp;Jonathan F. Bard","doi":"10.1016/j.seps.2026.102424","DOIUrl":"10.1016/j.seps.2026.102424","url":null,"abstract":"<div><div>This paper presents a new mixed-integer linear programming model for managing the size and composition of a workforce that provides home healthcare services. Decisions center around hiring, training, and downgrading in the face of high resignation rates and a fluctuating imbalance between supply and demand. Novel features of the model include a workforce that is characterized by hierarchical skills and various levels of experience, both affecting individual productivity and operational costs. The optimization problem is to determine a weekly hiring, training, and downgrading plan over the long-term to minimize the weighted sum of costs. Constraints include meeting demand, assuring that patients can be assigned the most appropriate caregivers, and maintaining a target level of skills and experience among the staff. Complications concern an annual turnover rate that exceeds 60% as well as uncertain demand. To validate the model, extensive tests were conducted using data provided by a U.S. home health agency. The results show that optimal solutions can be obtained in a few minutes or less for most instances, depending on the number of patients and caregivers. A major insight gained from the study is that it is possible to derive hiring rules that are simple to implement and closely match optimal plans.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"105 ","pages":"Article 102424"},"PeriodicalIF":5.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122550","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":"Corrigendum to “Dynamic interplay of sports, social, and economic factors in the English premier league: A network DEA approach” [SEPS 104 (2026) 102430]","authors":"Yixin He ,&nbsp;Siwei Xiao ,&nbsp;Marios Kremantzis ,&nbsp;Aniekan Essien ,&nbsp;Umair Tanveer ,&nbsp;Ali Emrouznejad ,&nbsp;Shamaila Ishaq","doi":"10.1016/j.seps.2026.102458","DOIUrl":"10.1016/j.seps.2026.102458","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"105 ","pages":"Article 102458"},"PeriodicalIF":5.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148336544","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":"Marine organizational collaborative network: Enhancing technological innovation for environmental monitoring","authors":"Yanmei Wang ,&nbsp;Enhui Sun ,&nbsp;Wenying Yan","doi":"10.1016/j.seps.2025.102413","DOIUrl":"10.1016/j.seps.2025.102413","url":null,"abstract":"<div><div>As climate change intensifies and ocean resource exploitation continues, the marine environment has gained increasing societal attention. Marine environmental monitoring technologies are crucial for ocean conservation. Collaborative innovation among interdisciplinary organizations is pivotal to technological advancement. However, the mechanisms underlying marine organizational collaborative innovation remain underexplored. This study constructs a collaborative innovation network using Chinese joint patent application data related to marine environmental monitoring buoy technologies. By employing visualization tools, we trace the evolutionary paths of the network and apply the Temporal Exponential Random Graph Model (TERGM) to examine the relationships between key factors and the network's formation and evolution. The findings underscore the roles of endogenous structures, node attributes, external conditions, and time dependence on network formation and evolution. The study also reveals the growing tendency for organizations to collaborate with those possessing similar technological knowledge structures. Identifying these key factors enables environmental advocates and policymakers to tailor strategies effectively in support of marine sustainable development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102413"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925790","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":"Blockchain-driven co-opetition in circular and resilient supply chains: A long-term evaluation perspective using trust mechanism","authors":"Mohammad Ali Hassanabadi ,&nbsp;Ata Allah Taleizadeh","doi":"10.1016/j.seps.2026.102422","DOIUrl":"10.1016/j.seps.2026.102422","url":null,"abstract":"<div><div>The increasing adoption of blockchain technology (BT) in supply chain management has led to the emergence of co-opetition strategies among competing firms, aimed at enhancing the efficiency of consortium blockchain-based platforms (BBPs). We develop an evolutionary game theoretical model with two competing manufacturers and customers to analyze long-term interactions and firms’ adherence to co-opetition strategies, incorporating the dual impact of BT on supply chain circularity and resilience. By considering the effects of BBP traceability and transparency on enhancing customer trust, operational efficiency of take-back systems, and mitigating disruption costs, the conditions necessary for fully realizing the long-term operational, economic, and environmental benefits of BBPs are investigated. Additionally, we introduce a trust mechanism to evaluate both performance and relationship management in long-term interactions. Our model analysis reveals key conditions under which competitive firms are more inclined to engage in co-opetition: (i) in the presence of severe disruptions or strong control over disruptive events enabled by BBP efficiency enhancements, (ii) when BBP efficiency improvements lead to a more optimized take-back system, (iii) when customers highly value the traceability and transparency provided by BBPs, and (iv) under high trust coefficients or significant punitive costs within the trust mechanism. Furthermore, our findings suggest that the trust mechanism can drive the supply chain toward greater circularity, particularly when customers are sensitive to transparency and traceability features. A numerical example illustrates these insights, and the study provides managerial implications that lay the groundwork for the practical implementation of blockchain-driven co-opetition strategies in competitive supply chains.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102422"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172639","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":"Dynamic interplay of sports, social, and economic factors in the English Premier League: A network DEA approach","authors":"Yixin He ,&nbsp;Siwei Xiao ,&nbsp;Marios Kremantzis ,&nbsp;Aniekan Essien ,&nbsp;Umair Tanveer ,&nbsp;Ali Emrouznejad ,&nbsp;Shamaila Ishaq","doi":"10.1016/j.seps.2026.102430","DOIUrl":"10.1016/j.seps.2026.102430","url":null,"abstract":"<div><div>This study evaluates the operational and revenue generation efficiency of English Premier League (EPL) clubs from 2014/15 to 2023/24 using a novel Dynamic Network Data Envelopment Analysis (DNDEA) model under the Variable Returns to Scale (VRS) assumption. By integrating dynamic and network structures, the model decomposes club performance into sequential stages, specifically operational conversion and revenue generation, and traces the intertemporal transmission of economic, sporting, and social factors. Unlike traditional static DEA models that treat efficiency as time-invariant and “black-boxed”, the DNDEA model provides a temporal-diagnostic lens that detect shifts in efficiency trajectories and inter-stage feedback across seasons. Results reveal two enduring archetypes: high-performing clubs that achieve competitive outcomes with limited financial inputs through effective resource management, and financial giants that excel in revenue generation but struggle to translate investments into consistent sporting success. Dynamic analysis shows system efficiency peaked in 2014/15 before declining sharply in 2015/16 and 2018/19, respectively, driven by imbalances between escalating financial investments and stagnating on-field performance. Operational inefficiencies in Stage 1 (resource conversion) were more critical than those in Stage 2 (revenue generation), underscoring challenges in aligning short-term investments with long-term sustainability. The study advances sports analytics by providing a holistic framework for evaluating football club efficiency, emphasizing actionable strategies such as optimizing talent acquisition, prioritizing dual-return investments, and leveraging fan engagement.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102430"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172644","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":"Dynamic evaluation of operational, environmental, and unified efficiencies: A DEA application in agriculture","authors":"Zahra Abbasi ,&nbsp;Mohammad Afzalinejad ,&nbsp;Ali Asghar Foroughi","doi":"10.1016/j.seps.2025.102411","DOIUrl":"10.1016/j.seps.2025.102411","url":null,"abstract":"<div><div>Data Envelopment Analysis (DEA) is a prominent tool used to assess the efficiency of decision-making units (DMUs). While static DEA models measure performance without considering time dependency, dynamic DEA incorporates time as a factor in the modeling. In recent years, environmental concerns have become a significant focus for the world community. In the context of DEA, these concerns are often expressed as undesirable outputs of the production process. Therefore, in addition to evaluating operational efficiency, it is essential to consider environmental efficiency to obtain a comprehensive measurement of DMUs’ performance. This paper presents the assessment of operational and environmental efficiency and their integration into a unified efficiency measure within the dynamic DEA framework. The time dependency of efficiency is taken into account and the links between consecutive time periods are categorized as either good or bad types. Additionally, static environmental models are established to enable comparison of dynamic and static efficiency. The proposed models are used to evaluate the performance of twenty-one countries in the agriculture sector. In this study, GHG emissions and cumulative agricultural loss due to disasters are selected as undesirable factors. Environmental efficiency generally improves over 2016–2018; however, while the static assessment shows steady progress, the dynamic assessment rises until 2017 and then slightly declines in 2018. The number of efficient countries in the operational dimension is much more than those in the environmental dimension, which shows that the economic dimension has a higher priority among countries.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102411"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884089","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":"Robot adoption and carbon emission reduction: Mechanism and ripple effect analysis","authors":"Yunsu Du ,&nbsp;Qianqian Chen ,&nbsp;Huaping Sun ,&nbsp;Zhenhua Zhang ,&nbsp;Denis Nikolaevich Sidorov","doi":"10.1016/j.seps.2026.102421","DOIUrl":"10.1016/j.seps.2026.102421","url":null,"abstract":"<div><div>With the rapid diffusion of industrial robots due to the aging of the global population, their implications for carbon emissions have increasingly become salient. Using a comprehensive industry-level dataset covering manufacturing sectors in 40 countries, this study provides novel empirical evidence on the impact of robot adoption on industrial carbon emission intensity. Results show that robot adoption significantly reduces carbon emission intensity in manufacturing industries. This finding remains robust after several robustness checks, including the estimation of instrumental variables and alternative measures of robot adoption. Mechanism analyses reveal that the carbon-reducing effect of robot adoption primarily operates through improvements in total factor productivity. Furthermore, a significant ripple effect is identified, whereby robot adoption in upstream industries amplifies downstream carbon emission reductions through interindustry linkages. From a policy perspective, these results underscore the relevance of promoting productivity-enhancing robot adoption and leveraging supply-chain interactions to support global low-carbon economic development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102421"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172636","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":"Assessing grain production eco-efficiency under rural land management institutions: A hybrid analytical framework","authors":"Huazhu Zheng ,&nbsp;Yongjiao Wu ,&nbsp;Jungang Lu ,&nbsp;Dong Cheng ,&nbsp;Xun Zhang ,&nbsp;Zhengyu Yao ,&nbsp;Claudio O. Delang ,&nbsp;Christopher Gomez ,&nbsp;Hongming He","doi":"10.1016/j.seps.2026.102433","DOIUrl":"10.1016/j.seps.2026.102433","url":null,"abstract":"<div><div>This study evaluates grain production eco-efficiency (GPEE) and constructs a Rural Land Management Institution (LMI) index to quantify rural land policies in China and examine their impacts on GPEE in the Yellow River Basin (YRB). A hybrid analytical framework integrating an environmental preference-based Super-SBM model, Tobit regression, and mediation analysis is applied to socio-economic and ecological data from 53 cities in the YRB during 2000–2021. The main findings are as follows: (1) GPEE in the YRB was generally inefficient and remained below the national average throughout the study period. (2) Significant spatial and temporal heterogeneity is observed in GPEE, pure technical efficiency, and scale efficiency, with positive spatial autocorrelation characterized by high-high (H-H) and low-low (L-L) clustering patterns. (3) Pure technical efficiency contributes more to overall GPEE than scale efficiency, which remains relatively weak. (4) Changes in arable land are strongly influenced by rural land policies, with pronounced regional heterogeneity in LMI across different areas. (5) Rural land policies affect GPEE through two main channels: grain production technology utilization capability and land scale management. (6) In balanced grain production and consumption areas (BGPCA), LMI significantly improves both pure technical efficiency and scale efficiency, thereby enhancing GPEE, whereas in major grain-producing areas (MGPA), the effect of LMI on GPEE is limited, indicating environmentally unsustainable production practices. These findings highlight the need for more targeted and region-specific policy interventions by the central government to promote sustainable improvements in grain production eco-efficiency.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102433"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172641","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":"Sustainable joint maintenance and renewal planning for urban railways via lexicographic optimization","authors":"Malak Saiem ,&nbsp;Faicel Hnaien ,&nbsp;Hichem Snoussi ,&nbsp;Brice Nelain ,&nbsp;Anaïs Menetrier","doi":"10.1016/j.seps.2026.102423","DOIUrl":"10.1016/j.seps.2026.102423","url":null,"abstract":"<div><div>The growing emphasis on sustainable transportation has intensified the need to reduce carbon emissions in railway maintenance and renewal activities. This paper proposes a lexicographic optimization framework for joint maintenance and renewal planning in urban railway networks, in which CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions are prioritized over economic cost. The problem is formulated as a mixed-integer linear program integrating key industrial constraints, including track possession windows, a degradation model, and activity grouping. A two-stage solution strategy is developed: the first stage identifies CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>-optimal solutions, while the second stage refines these solutions with respect to cost using either an exact MILP formulation or an iterated local search metaheuristic. Computational experiments on real-world network-level instance show that the proposed MILP–ILS approach preserves CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> optimality while achieving notable cost reductions and significantly lower computation times compared to a fully exact lexicographic MILP. In several instances, the approach reduces network-level CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions by up to 50% while achieving cost savings of approximately 10% comparing to the company’s current strategy. Finally, an <span><math><mi>ɛ</mi></math></span>-constraint analysis is conducted to characterize the Pareto frontier between cost and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions. The results confirm that substantial environmental gains can be achieved with moderate economic trade-offs, reinforcing the practical relevance of the proposed framework.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102423"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172642","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":"2026-04-01","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}