Andrea Orozco-Villodres , Ana B. Ruiz , Mariano Luque
{"title":"How to enhance students’ well-being in Spain: A multidimensional study based on multiobjective optimization","authors":"Andrea Orozco-Villodres , Ana B. Ruiz , Mariano Luque","doi":"10.1016/j.seps.2025.102352","DOIUrl":"10.1016/j.seps.2025.102352","url":null,"abstract":"<div><div>This paper addresses the multidimensional nature of the concept of student well-being from a multiple criteria decision making perspective, specifically differentiating between the social, physical, and mental dimensions. The main purpose is to analyze how the well-being levels among Spanish students could be improved. Using PISA 2022 data, three indexes of student well-being are constructed: social, physical and mental. Using econometric tools, a multiobjective optimization model is developed to simultaneously maximize the three proposed indexes. The resulting analysis makes it possible to evaluate the real possibilities for improving the three well-being dimensions and the scenarios that would make it possible (i.e., socio-educational context for the students). It allows foreseeing the impact of the change in one of the indexes on the other two. In addition, existing correlations between students' socio-educational characteristics are introduced into the model to represent the student's context as realistically as possible. The results indicate that students who seek to optimize their well-being from the triple perspective adopted (physical, social, and mental) must make trade-offs between the indicators in order to achieve a balanced solution.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102352"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419009","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":"Research on the operational strategies of data products under China's data element policy: Subsidizing service providers or manufacturers?","authors":"Yazhou Liu, Wenxiu Hu, Li Liu, Xin Wang","doi":"10.1016/j.seps.2025.102374","DOIUrl":"10.1016/j.seps.2025.102374","url":null,"abstract":"<div><div>The divergence in perceived value of data products leads to discrepancies in value assessment by both parties in transactions, limiting the circulation of data as an economic factor. The government attempts to alleviate this issue through transaction subsidies. While existing studies focus on data market design and the incentive effects of subsidies on corporate R&D, there is a lack of systematic exploration on how governments should design effective subsidy policies for data products. To improve subsidy efficiency and optimize data product operations, this study integrates the demand preferences of data product end users (DPEU) into the utility function. It constructs a game model under three scenarios: no subsidy, subsidy to data product manufacturers (DPM), and subsidy to data product service providers (DPSP), analyzing optimal decisions under various subsidy strategies. Results show that without subsidies, DPM and DPSP, constrained by costs, reduce investments in quality and promotion, significantly suppressing market transactions. With subsidies, DPM increases demand by enhancing quality and optimizing prices, while DPSP promotes transactions through intensified marketing, jointly facilitating data product exchanges. Regardless of subsidies, DPEU's quality and promotion preferences consistently drive profits for all parties, with quality preference having a greater impact. Conversely, investments in quality and promotion costs suppress profits, with quality costs having a stronger inhibitory effect. This study provides a theoretical foundation for governments to design targeted subsidy policies for data products and for companies to optimize their data product operational strategies, thereby contributing to the healthy development of the data product market.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102374"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467588","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":"Uneven paths toward sustainability in Africa: A multidimensional and Spatio-temporal assessment of SDG progress (2000–2022)","authors":"Andrea Ciacci , Enrico Ivaldi , Tiziano Pavanini","doi":"10.1016/j.seps.2025.102355","DOIUrl":"10.1016/j.seps.2025.102355","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102355"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365488","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 barriers in public organizations: A systematic literature review","authors":"Angelo Murano, Bruna Bruno, Vincenzo Vespri","doi":"10.1016/j.seps.2025.102364","DOIUrl":"10.1016/j.seps.2025.102364","url":null,"abstract":"<div><div>Blockchain technology has garnered attention for its potential to revolutionize public sector services by enhancing transparency, efficiency, and trust. However, adoption remains hindered by critical organizational and technical barriers, which are underexplored in current literature, particularly from an economic-organizational perspective. This paper systematically reviews recent studies to identify sector-specific challenges, including interoperability issues and a shortage of technical expertise. By addressing these barriers, the findings propose tailored strategies to facilitate effective implementation, offering practical insights for public sector stakeholders and laying a robust foundation for future research.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102364"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365489","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":"Case scheduling system for enhanced judicial performance","authors":"Maansi Gupta , Nomesh B. Bolia","doi":"10.1016/j.seps.2025.102350","DOIUrl":"10.1016/j.seps.2025.102350","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102350"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365492","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":"Improving business environment quality through online government service integration: A quasi-natural experiment in China","authors":"Yuqiong Lei , Xiaoming Liang , Zhanyu Liu","doi":"10.1016/j.seps.2025.102377","DOIUrl":"10.1016/j.seps.2025.102377","url":null,"abstract":"<div><div>Online Government Service Integration (OGSI) significantly contributes to enhancing public service efficiency and business environment quality (BEQ). Using the establishment of “Internet Plus Government Service” platforms as an empirical entry point, this study examines the effect, mechanisms, and boundary conditions of OGSI on BEQ through a staggered difference-in-differences approach with data from 293 Chinese cities (2010–2022). Our analysis reveals that OGSI improves BEQ through three distinct mechanisms: enhanced administrative efficiency, optimized service speed, and strengthened information supply. Boundary conditions analysis shows that these effects demonstrate greater magnitude in eastern regions, non-resource-based cities, and localities where governments allocate higher attention to OGSI implementation. Further analysis at the firm level confirms that OGSI's enhancement of BEQ manifests as improved corporate performance, with particularly pronounced benefits for non-state-owned and small to medium-sized enterprises. These findings provide valuable insights for optimizing digital governance innovation to enhance business environment.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102377"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517510","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":"Moving from the South of Italy: The parental role on student mobility for tertiary education","authors":"Francesco Salomone Marino, Maria Berrittella","doi":"10.1016/j.seps.2025.102347","DOIUrl":"10.1016/j.seps.2025.102347","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102347"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323616","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":"The impact of artificial intelligence technological innovation on global entrepreneurial activities","authors":"Yuqi Tian , Xiaowen Wang , Nanxu Chen , Zhenhua Zhang","doi":"10.1016/j.seps.2025.102381","DOIUrl":"10.1016/j.seps.2025.102381","url":null,"abstract":"<div><div>The emergence of artificial intelligence (AI) technology has led to transformative advancements across various industries, particularly in innovative sectors, creating both new challenges and opportunities. This study systematically examines the impact of AI technological innovation on global entrepreneurial activities. The basic theoretical framework is constructed using entrepreneurial factor theory and external enabler framework, and a two-way fixed effects model along with a mediation effect model are employed to study the impact of AI technological innovation on corporate entrepreneurial activities in 52 countries and regions from 2002 to 2023, spanning a total of 22 years. The results reveal that AI technological innovation significantly promotes entrepreneurial activities, particularly opportunity-driven ventures. Notably, the impact is especially significant for entrepreneurs aged 18–34 and those with a higher level of education. Additionally, AI technological innovation positively influences entrepreneurial activities through two paths: entrepreneurship education and AI investment. This study provides valuable insights for countries to effectively leverage AI technology, thereby enhancing entrepreneurial vitality and promoting economic resilience.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102381"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569016","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}
Ali Younes , Mohamed O. Abu Ghazala , Tamer A. Al-Sabbagh , Hamdy N. Eid , Mohamed A. El-Shenawy
{"title":"Spatial suitability and facility location planning for ammunition depots in Egypt: An integrated GIS-based MCDM approach","authors":"Ali Younes , Mohamed O. Abu Ghazala , Tamer A. Al-Sabbagh , Hamdy N. Eid , Mohamed A. El-Shenawy","doi":"10.1016/j.seps.2025.102354","DOIUrl":"10.1016/j.seps.2025.102354","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102354"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365487","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":"The impact of artificial intelligence on corporate ESG greenwashing","authors":"Zhonghua Cheng , Guang Yang","doi":"10.1016/j.seps.2025.102351","DOIUrl":"10.1016/j.seps.2025.102351","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102351"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145365491","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}