Socio-economic Planning Sciences最新文献

{"title":"Spatial-temporal evolution of coupling coordination development between circular economy and tourism in the eastern regions of China","authors":"Wenjing Yang ,&nbsp;Lu Tao ,&nbsp;Qingquan Li ,&nbsp;Feiyue Li ,&nbsp;Shiqi Du ,&nbsp;Yue Zhang ,&nbsp;Chao Gao ,&nbsp;Xiaomeng Fang ,&nbsp;Ziyang Zhang ,&nbsp;Jingang Huang ,&nbsp;Xiaobin Xu ,&nbsp;Pingzhi Hou ,&nbsp;Junhong Tang ,&nbsp;Wei Han","doi":"10.1016/j.seps.2025.102283","DOIUrl":"10.1016/j.seps.2025.102283","url":null,"abstract":"<div><div>In this study, the comprehensive development index systems of circular economy (CDISCE) and tourism (CDIST) were constructed to measure the level of circular economy and tourism development in the eastern regions of China. The coupling coordination degree model (CCDM) was applied to evaluate the level of coupling coordinated development of CDISCE and CDIST. It was found that the overall development trend of circular economy and tourism in the eastern regions of China was positive. The CCDM described that the interaction between circular economy and tourism was constantly strengthening. Moreover, the modified gravity model was used to calculate the spatial connection strength of coupling coordination degree between circular economy and tourism. The highest spatial connection strength was observed in Beijing and Tianjin due to the policy support and resource concentration in the related regions. Finally, the grey model (GM) was used to predict the coupling coordination degree of the CDISCE and CDIST from 2024 to 2029 with the “good” class of accuracy. The evaluation system and analysis methods established in this study were expected to provide a basic reference for promoting the coupling coordination development between the circular economy and tourism as well as to realize regional sustainable development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102283"},"PeriodicalIF":6.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605696","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":"Enhancing healthcare system resilience: Optimization of strategic investments portfolio","authors":"Isaline Baret ,&nbsp;Nhan Quy Nguyen ,&nbsp;Yassine Ouazene ,&nbsp;Farouk Yalaoui","doi":"10.1016/j.seps.2025.102272","DOIUrl":"10.1016/j.seps.2025.102272","url":null,"abstract":"<div><div>Healthcare systems are facing growing challenges such as the shortage and unequal distribution of healthcare professionals, a rise in demand due to an aging population and a rise in chronic diseases but also daily disruptions. At a facility level, various mitigation strategies against everyday challenges can be implemented. Each mitigation strategy comes with its own costs and outcomes. These investments will strengthen the day-to-day resilience of healthcare facilities, thereby reducing the risk of service disruptions, but not all mitigation strategies are possible due to limited budget. Our research focuses on developing a model to identify an optimal investment strategy aimed at enhancing the resilience of healthcare systems. The aim of this bi-objective model is to simultaneously minimize the distances traveled by patients and the number of treatments deferred due to system disruptions. The probability of a patient accessing a facility on his preferred list is strongly impacted by the investment portfolio. To meet this challenge, we propose a new approach for evaluating the probability that a patient will choose a facility based on a Markov chain model. Moreover, the problem uses level-based fortification and probabilistic facility failures. The addressed problem is solved using a dedicated Non-dominated Sorting Genetic Algorithm (NSGA-II). The effectiveness and the robustness of the proposed approach are analyzed through a large experimental and a sensitivity analysis campaign.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102272"},"PeriodicalIF":6.2,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588087","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 survey on resource and fixed cost allocation research with data envelopment analysis","authors":"Maryam Masoumi Hazhir,&nbsp;Ali Asghar Foroughi","doi":"10.1016/j.seps.2025.102275","DOIUrl":"10.1016/j.seps.2025.102275","url":null,"abstract":"<div><div>A significant issue in many management applications is the equitable allocation of resources and fixed costs between decision-making units (DMUs). This issue is one of the most important applications of data envelopment analysis (DEA). Given the proliferation of studies in the allocation literature, an up-to-date review of DEA applications that differs from the previous review article is necessary. In this research, we review 131 published studies of DEA applications about fixed cost and resource allocation from 1993 to 2024, covering both applications and methodologies. Considering the DEA applications, we examine and categorize the approaches used in the studies. Methodologically, considering the structure of the studied systems and models, we point out that developed DEA approaches such as dynamic network DEA, network DEA with more complex network structures, directional distance function efficiency, fuzzy DEA, and slacks-based efficiency models are deficient in the existing literature. We suggest some remarkable directions for future research from a practical and theoretical point of view.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102275"},"PeriodicalIF":6.2,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588011","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":"Econometric estimation of deprivation cost functions for emergency medical services","authors":"Trilce Encarnacion","doi":"10.1016/j.seps.2025.102273","DOIUrl":"10.1016/j.seps.2025.102273","url":null,"abstract":"<div><div>This research extends the application of Deprivation Cost Functions to Emergency Medical Services in the United States, with a specific focus on cardiac emergencies, which are clinical scenarios where rapid response is critical to patient survival and well-being. Key variables such as patient condition, elapsed time, and socioeconomic status are incorporated, along with methodological considerations for estimating deprivation costs in medical emergency settings. Discrete choice experiments are used to quantify how the disutility of waiting for care increases nonlinearly with time. The resulting deprivation cost functions provide planners and policymakers with a more nuanced decision-support tool that captures both the urgency of medical need and the human suffering associated with delayed intervention.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102273"},"PeriodicalIF":6.2,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563095","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":"Stability and optimisation of financing strategies for blue pharmacy cultivation in China","authors":"Tong-Kun Qu ,&nbsp;Tong-Xin Li ,&nbsp;Ye-Cheng Wang","doi":"10.1016/j.seps.2025.102276","DOIUrl":"10.1016/j.seps.2025.102276","url":null,"abstract":"<div><div>‘Blue pharmacy’ refers to the rich medicinal resources nurtured in the oceans, whose cultivation is crucial for promoting the prosperity of the marine biomedicine industry, and enhancing human health and wellbeing. However, blue pharmacy cultivation requires more patient capital than other industries, severely limiting its development. This study analyses the funding problems at the initial stage of the creation of blue pharmacy, and proposes corresponding solutions using gaming and system dynamics. The results show that: (1) In an iterative battle between the three stakeholders, the actions of the blue pharmacy industry and government are largely influenced by the decisions of financial institutions, who choose their own strategies based on the blue pharmacy industry's actions. The industry's profitability does not change the government's determination to continue supporting the development of blue pharmacy. (2) A non-linear dynamic investment scheme is more conducive for the government's macro-control of the blue pharmacy industry, which not only solves the problem of the system's oscillatory fluctuations but also enables it to reach the ideal equilibrium state more quickly. (3) Regardless of whether financial institutions finance blue pharmacy, the amount of government investment influences the strategic choices of both the blue pharmacy industry and government. Crucially, it also indirectly influences financial institutions' strategic choices by influencing the government's strategic choices. Therefore, the amount of government investment is crucial in influencing the system's balance, which this study illustrates using simulations. Finally, our findings not only provide decision support and theoretical guidance for the decision-making in the financing system for the blue pharmacy industry, but also provide strategic insights for the government to formulate effective incentive policies for the development of blue pharmacy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102276"},"PeriodicalIF":6.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144517206","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":"Incentive contract in relief supply chains: The case of multiplayer competition and cooperation","authors":"Jianfang Shao ,&nbsp;Yu Fan ,&nbsp;Xihui Wang","doi":"10.1016/j.seps.2025.102278","DOIUrl":"10.1016/j.seps.2025.102278","url":null,"abstract":"<div><div>Cooperations between relief organisations and private-sector enterprises are common and crucial in responding to disasters, and incentive strategies may help encourage the enterprises to provide faster delivery of relief supplies to mitigate more human suffering. However, there have been few studies of relief organisations incentivizing logistics enterprises to improve delivery times, especially with the consideration of competition and cooperation among multiple enterprises. In this paper, we propose three incentive contracts between a relief organisation and multiple logistics enterprises by answering two research questions: (1) Will suitable delivery time incentive strategies benefit both the relief organisation and the logistics enterprises? and (2) Can the relief organisation benefit more from encouraging competition among logistics enterprises? Hence, we consider and compare four different situations (no incentives, common incentives, incentives with competition, incentives with competition and cooperation) between the relief organisation and the logistics enterprises using Stackelberg game. We conduct a case study in China to show the feasibility and appropriateness of our contracts. The result shows that the proposed incentive contract can benefit relief organisation and all logistics enterprises. The relief organisation can benefit more from encouraging competition among the logistics enterprises, but the enterprises can easily avoid the loss through cooperation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102278"},"PeriodicalIF":6.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605189","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":"Vulnerability assessment and decision analysis of airport unlawful interference emergency disposal based on complex network in China: Take regional airports for example","authors":"Yu Wu,&nbsp;Shiting He","doi":"10.1016/j.seps.2025.102274","DOIUrl":"10.1016/j.seps.2025.102274","url":null,"abstract":"<div><div>Since airports are vulnerable to unlawful interference, it is necessary to conduct a model-based vulnerability analysis to quantify the robustness and failure resilience of airport security systems. Therefore, this work establishes a fusion model that combines attack-defense games with complex networks to systematically analyze the airport emergency disposal network. Firstly, an attack-defense game model is constructed based on emergency disposal process of unlawful interference incidents. Introducing cost-benefit analysis to broaden the game model. Then the complex network of airport unlawful interference emergency disposal is constructed based on the attack-defense relationship. The method proposed in this study is applicable to regional airports. A simulation analysis is conducted using Zhangjiajie Hehua International Airport in China as an example. Through in-depth analyses of the network topology and vulnerability, this study finds that the airport unlawful interference emergency disposal network has small-world network characteristics, which ensures efficient information dissemination and resource allocation during emergency disposal. Airport security plays a key intermediary role in the defense network, and the strategy sets of public police form a tight sub-network. These characteristics enhance the overall emergency disposal capability of the network. The results of the vulnerability assessment show that although the network is able to withstand random attacks, it is highly vulnerable to deliberate attacks. Therefore, it is necessary to enhance the resilience of the emergency disposal network. Optimize the network based on the results of the vulnerability assessment. The results showed that the resilience of the network increased by 10.98 %. It will help airport security to respond more effectively to incidents of unlawful interference, thus contributing to the broader understanding of decision-making under risk and uncertainty in complex socio-economic systems.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102274"},"PeriodicalIF":6.2,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557649","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 socioeconomic factors for crime against women in developing countries: A data-centric statistical learning approach","authors":"Esther Jose ,&nbsp;Sayanti Mukherjee ,&nbsp;Jose Swaminathan","doi":"10.1016/j.seps.2025.102255","DOIUrl":"10.1016/j.seps.2025.102255","url":null,"abstract":"<div><div>Women are often targeted in crimes of sexual violence, trafficking, and domestic abuse, especially in developing countries. There are two types of risk factors for women being victims of such violence. Personal risk factors include attributes or features of the woman’s self or identity, such as how old she is, how educated she is, and whether she is married. There is a second set of factors that we call “regional” risk factors, which include the attributes or characteristics of a region (defined as a state or union territory) such as how electrified it is, how many colleges it has, or how many roads it has. We offer insights on regional risk factors and how they influence rates of crime against women in that region. We also address the challenge of under-reporting and present insights into factors that could reduce under-reporting. We use a suite of advanced machine learning techniques to identify and evaluate the socio-economic and political risk factors for high rates of both reported and adjusted crime against women in a region. We establish our research framework with a case study conducted in India, using data from different states and union territories from 2004–2020. We consider 23 factors, including the financial condition of the state, the ruling political party, access to electricity, access to education, employment rate, and birth rate. Our results show that high access to education, low gender disparity in education, low poverty, and increased household access to electricity are positively correlated with reduced crime against women. We also observe that under-reporting is more often a problem in poorer regions, regions where higher percentages of women are illiterate than men, and regions where household access to electricity is low. While policymakers cannot easily change personal risk factors, these regional risk factors can be addressed explicitly by government agencies, institutions, or leaders.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102255"},"PeriodicalIF":6.2,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480515","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 case-driven simulation-optimization model for sustainable medical logistics network","authors":"Fariba Goodarzian ,&nbsp;Peiman Ghasemi","doi":"10.1016/j.seps.2025.102271","DOIUrl":"10.1016/j.seps.2025.102271","url":null,"abstract":"<div><div>The supply chain industry represents one of the largest and most critical sectors worldwide, and it is undergoing substantial transformation with the increasing integration of Electric Vehicles (EVs). In particular, EVs are being adopted within healthcare logistics networks to substantially mitigate carbon emissions and counteract escalating fuel costs, thereby enhancing the alignment of supply chain operations with broader public health and environmental sustainability objectives. This study proposes a novel Sustainable Healthcare Supply Chain Network (SHSCN) model that explicitly incorporates the deployment of EVs for the distribution of medical products and the optimal siting of Charging Stations (CSs) to support their operation. To quantitatively assess the queuing behavior of EVs at these charging facilities, an M/M/c queuing model is employed, providing insights into system performance in terms of vehicle waiting times. Additionally, the Simulation Method (SM) is utilized to estimate optimal fleet sizes and operational parameters. The validity and practical applicability of the proposed mathematical framework are demonstrated through a case study conducted within the medical industry context, employing the augmented ε-constraint method to handle the model's multi-objective nature. Given the NP-hardness of the formulated optimization problems, two novel hybrid metaheuristic approaches are introduced: Hybrid Simulated Annealing integrated with K-Medoids clustering (HKMSA), and Hybrid Tabu Search combined with K-Medoids clustering (HKMTS). Computational results indicate that both HKMSA and HKMTS exhibit superior performance relative to alternative methods, particularly in terms of solution quality and computational efficiency across problem instances of varying scales. Sensitivity analyses further reveal that a 30 % reduction in demand results in increases in all three objective function values, reaching 458,369, 894,100, and 761,790 units, respectively. Conversely, a 30 % improvement in service rate leads to a reduction in the first objective function's cost from 450,984 to 407,369 units.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102271"},"PeriodicalIF":6.2,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490391","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 scenario robust Bi-objective model for integrating disaster mitigation and preparedness","authors":"Jomon A. Paul ,&nbsp;Xinfang Wang","doi":"10.1016/j.seps.2025.102260","DOIUrl":"10.1016/j.seps.2025.102260","url":null,"abstract":"<div><div>Policymakers often overlook the synergies between disaster management's mitigation and preparedness policies. We tap into this potential aided by a scenario robust bi-objective model we develop in this study. These competing objectives include mitigation costs associated with the readiness of a disaster-prone region and preparedness social costs consisting of logistics, deprivation, and fatality costs. We devote our attention to analyzing the tradeoffs with the minimization of these differing costs. Noting that disaster management settings typically present data accuracy challenges, we model uncertain parameters within each scenario using easily estimable deterministic uncertainty sets. We propose a novel framework that utilizes secondary data to estimate willingness to pay for essential goods such as food and water. Using this framework, we develop deprivation functions to account for human suffering due to shortages and delayed arrival of food and water supplies. Policymakers can gain valuable guidance regarding inter-system benefits using our models and insights from their practical deployment. Specifically, benefits accrued from a vertical collaboration between agencies handling mitigation and preparedness policymaking currently operating in silos, engaging in suboptimal policies. We illustrate our model application using an extensive case study featuring a hurricane-prone region. As an integral component of our analytical models, we deploy empirical models to estimate key parameters such as the readiness of the region. Our results provide fresh policy insights into collaborative strategies policymakers can adopt for effective disaster management through a cost-benefit analysis. Particularly, it can aid ethics boards of disaster agencies that provide guidance and oversight on ethical issues related to disaster response and recovery efforts with objective evidence.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102260"},"PeriodicalIF":6.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330825","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}