Socio-economic Planning Sciences最新文献

{"title":"Designing an agricultural waste collection and transport network based on robust optimization","authors":"Yanju Chen ,&nbsp;Yan Liu ,&nbsp;Yuhan Wang","doi":"10.1016/j.seps.2025.102375","DOIUrl":"10.1016/j.seps.2025.102375","url":null,"abstract":"<div><div>Agricultural waste, a widely available resource, has long been plagued by issues of dispersion and inefficient collection. Its improper handling poses serious threats to human health, ecological environment, and economic development. Waste collection and recycling are among the effective measures currently being implemented in many regions to promote sustainable and green development. Waste management is a complex planning issue in an uncertain environment. Designing a more comprehensive and practical agricultural waste collection and transport (AWCT) network is crucial for effective agricultural waste management. This location–allocation–routing problem (LARP) aims to optimize the locations of collection centers (CCs) and processing centers (PCs), effectively allocate waste collected demands, and determine the optimal vehicle routes. This paper focuses on designing a robust AWCT network which can deal with the challenge of uncertainty due to incomplete distribution information. Firstly, two ambiguity sets are proposed to characterize the amount of agricultural waste collected and the operating cost of CC under partial distribution information. Then a distributionally robust optimization (DRO) model is proposed and transformed into a computable mixed-integer linear programming (MILP) form equivalently. Furthermore, a Benders decomposition (BD) algorithm is developed for solving the MILP model. Finally, this method is applied to a case in Shenyang, Liaoning Province, China, to demonstrate the effectiveness of the proposed model and algorithm. The main experimental results show that: (1) The network designed by the proposed model can withstand the influence of uncertainty in the amount of agricultural waste collected and the operating cost of CC at a relatively small robustness price; (2) Managers can adjust the parameters according to their own preferences to achieve a balance between total cost and robustness. The proposed AWCT network design model has certain application prospects. It can provide practical decision-making support for formulating targeted policies and strategies, so as to promote sustainable development and resource utilization, and offer a comprehensive framework for agricultural waste management practices.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102375"},"PeriodicalIF":5.4,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569098","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":"A review on multi-criteria decision-making in passenger transportation: Trends, methods, and future directions","authors":"Eren Kamber,&nbsp;Buse Yücel,&nbsp;Mehmet Gümüş","doi":"10.1016/j.seps.2025.102384","DOIUrl":"10.1016/j.seps.2025.102384","url":null,"abstract":"<div><div>This study provides a systematic review of the application of Multi-Criteria Decision-Making (MCDM) methods in passenger transportation. Analyzing 74 studies published between 2009 and 2025, the review classifies research based on transportation modes, methodological approaches, and sustainability dimensions. The findings reveal an increasing preference for fuzzy-based MCDM methods such as Fuzzy-AHP, TOPSIS, VIKOR, and DEMATEL to manage uncertainties in complex decision problems. Although sustainability principles are included in many studies, only a minority treat sustainability as the primary focus. The literature emphasizes service quality evaluation, passenger satisfaction, and system efficiency, with notable gaps in comprehensive sustainability-focused models and underexplored domains like maritime passenger safety. Keyword and research area analyses confirm the interdisciplinary nature of the field, linking transportation with engineering, computer science, environmental sciences, and economics. The study concludes with specific future research directions, including user-friendly hybrid MCDM frameworks, real-time data integration, and expanded focus on social and environmental sustainability. These recommendations aim to guide researchers and practitioners toward more inclusive, practical, and sustainable transportation decision-making models.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102384"},"PeriodicalIF":5.4,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569097","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 efficiency of technology transfer in Chinese universities from the perspective of supply and demand","authors":"Shiqing Liu ,&nbsp;Minyi He ,&nbsp;Qian Zhou ,&nbsp;Jun Ma ,&nbsp;Zhen Zhao","doi":"10.1016/j.seps.2025.102382","DOIUrl":"10.1016/j.seps.2025.102382","url":null,"abstract":"<div><div>The primary challenge in China's university technology transfer ecosystem lies in the misalignment between technological achievement supply and market demand. Compounded by regional economic disparities across China's vast territory, significant variations exist in technology transfer performance among universities in different geographical areas. This study employs DEAP2.1 software to implement both the BCC model and the Malmquist index method, enabling comprehensive static and dynamic efficiency evaluations of decision-making units (DMUs) - an innovative approach that addresses current research gaps. Focusing on 31 Chinese mainland regions categorized into four economic zones (eastern, central, western, and northeastern), our analysis reveals the eastern region demonstrates superior supply-demand matching efficiency, while central and western regions exhibit suboptimal resource allocation and lagging technological advancement. Most regions require substantial improvement in technological innovation capacity on the demand side. These findings suggest the need for region-specific policy interventions: Eastern regions may benefit from optimization strategies, whereas central and western regions require transformative policies emphasizing resource reallocation and innovation enhancement. This research contributes both theoretical and practical insights for improving China's technology transfer effectiveness, while offering valuable implications for other economies facing similar developmental challenges.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102382"},"PeriodicalIF":5.4,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683318","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 the global impact of artificial intelligence on energy resilience: The role of financial inclusion","authors":"Yanchao Feng ,&nbsp;Tong Yan ,&nbsp;Jia Guo","doi":"10.1016/j.seps.2025.102380","DOIUrl":"10.1016/j.seps.2025.102380","url":null,"abstract":"<div><div>In the digital era, artificial intelligence (AI) is reshaping economies and energy systems. This paper assesses the global effect of AI on energy resilience (ER), emphasizing the moderating role of financial inclusion (FI). Using panel data from 64 countries over the period from 2000 to 2019, this study employs the IV-GMM, difference-in-differences, and panel quantile regression models to ensure robust results. Findings show that a 1 % increase in AI contributes to roughly a 0.04 %–0.13 % increase in ER, and that FI strengthens this effect. Mediation analysis reveals that per capita GDP, technological progress, and human capital mediate the artificial intelligence-energy resilience relationship. Heterogeneity analysis indicates that while AI improves ER in low-resilience contexts, it may reduce it in high-income countries, and has no significant effect in middle-income ones. These results underline the importance of tailoring AI and FI strategies to national contexts. Policymakers should focus on advancing AI-enabled energy management and expanding access to inclusive finance services to build more resilient energy systems worldwide.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102380"},"PeriodicalIF":5.4,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569096","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 ,&nbsp;Xiaowen Wang ,&nbsp;Nanxu Chen ,&nbsp;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":"2025-11-12","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}

{"title":"Probabilistic and statistical modelling for risk evaluation","authors":"Francesca Pierri ,&nbsp;Marialuisa Restaino ,&nbsp;Mariangela Zenga","doi":"10.1016/j.seps.2025.102378","DOIUrl":"10.1016/j.seps.2025.102378","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102378"},"PeriodicalIF":5.4,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733070","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 ,&nbsp;Xiaoming Liang ,&nbsp;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":"2025-11-05","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":"Which indicator best measures cultural engagement? A comparative analysis","authors":"Alessandro Gallo,&nbsp;Francesca Adele Giambona,&nbsp;Daniele Vignoli","doi":"10.1016/j.seps.2025.102379","DOIUrl":"10.1016/j.seps.2025.102379","url":null,"abstract":"<div><div>Culture plays a central role in society. It supports inclusion, identity, and civic participation, while also contributing to economic activity and political engagement. Therefore, using appropriate tools to measure Cultural Engagement (CE) is crucial. In this paper, a set of composite indicators to measure cultural participation is developed, starting from individual participation in a range of cultural activities. Traditional methods—such as weighted and unweighted averages and Principal Component Analysis (PCA)—and a different approach based on Item Response Theory (IRT) are compared. These methods are examined in terms of interpretability and key features, looking across Italian regions and population subgroups, with attention to economic resources, education and gender. The analysis relies on nine waves (2014–2022) of the <em>Aspects of Daily Life</em> survey by the Italian National Institute of Statistics (ISTAT). While classical methods tend to be more intuitive and easier to read, the IRT-based approach offers distinct advantages, especially when analyzing individual cultural activities. Overall, the IRT approach enriches a body of literature that has, so far, offered limited tools for measuring CE.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102379"},"PeriodicalIF":5.4,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569015","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":"Quantitative assessment of the synergistic effect of pollution reduction and carbon reduction in the planting industry from the perspective of marginal abatement costs - Evidence from the main producing areas in the Yangtze River Basin of China","authors":"Yangyang Zhu ,&nbsp;Xicong Wang ,&nbsp;Zhenhong Qi","doi":"10.1016/j.seps.2025.102376","DOIUrl":"10.1016/j.seps.2025.102376","url":null,"abstract":"<div><div>Promoting the synergistic effects of pollution reduction and carbon reduction (PRCR) in the planting industry is a key path to achieving green, low-carbon, and high-quality agricultural development. Although existing studies have focused on PRCR synergistic effects, few have evaluated it from the perspective of marginal abatement cost, and there is currently no research analyzing the driving factors of PRCR synergistic effects specifically in the planting industry. This study uses the non-radial directional distance function to quantitatively assess the PRCR synergistic effects in the main agricultural production areas of the Yangtze River Basin (YRB) from 2000 to 2023, systematically analyzing its temporal and spatial evolution, regional differences, dynamic development characteristics, driving factors, and the paths for synergistic emission reduction. The study finds that: ①Carbon emissions (PCE) and surface source pollution (PSP) show an inverted “U” shape over time, with PRCR synergistic effects fluctuating upward, and the carbon reduction effect being dominant. ②PRCR synergistic effects exhibit spatial heterogeneity, with high values concentrated in the upstream areas and gradually extending to the midstream, while the midstream remains at a low to medium-high level and the downstream remains low over the long term. The marginal abatement cost of joint emission reduction is the highest in the upstream areas. ③Regional differences show a fluctuating convergence trend, with differences mainly attributed to the contribution of hypervariable density, and a clear catch-up effect between regions. Strengthening PSP control in the downstream areas could accelerate convergence. ④PRCR synergistic effects only show stable aggregation at both high and low levels. The PRCR synergistic effects at various levels are relatively stable, especially the carbon reduction effect. ⑤Optimizing planting structures, promoting agricultural technological progress, increasing financial support for agriculture, and advancing urbanization all contribute to enhancing PRCR synergistic effects. The main agricultural production areas of the YRB (especially the upstream) are better suited to use carbon reduction in the planting industry as the main strategy to achieve higher levels of PRCR synergistic effects, while the midstream regions should balance food security, carbon reduction, and surface source pollution control.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102376"},"PeriodicalIF":5.4,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517448","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 conjoint use of the dynamic factor analysis and weighted forecasts: an application on inclusiveness in Europe","authors":"Paolo Mariani,&nbsp;Andrea Marletta,&nbsp;Piero Quatto","doi":"10.1016/j.seps.2025.102372","DOIUrl":"10.1016/j.seps.2025.102372","url":null,"abstract":"<div><div>The study of short- and medium-term forecasts has been the subject of numerous contributions from both a methodological and an applicative point of view. The augmented complexity in the representation of phenomena increasingly suggests the joint use of multiple indicators through multivariate techniques for reducing the size of variables. This contribution proposes a combined use of well-known methods of dynamic factor analysis together with a new forecasting approach in order to obtain future forecasts. This technique is particularly efficient in the case of short time series and is based on a different weighting of the most recent observations, exploiting the concept of velocity and acceleration. In particular, from an application point of view, the object of the study is inclusiveness in Europe, understood as the relationship between macroeconomic variables and employment rates obtained from the labor force survey. The proposed method also provided forecast intervals in order to visualize a measure of forecast error.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102372"},"PeriodicalIF":5.4,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517450","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}