Socio-economic Planning Sciences最新文献

{"title":"The impact of tap water on household vulnerability to poverty: Evidence from rural China","authors":"Mingcong Chen,&nbsp;Qiqi Sun,&nbsp;Lizhi Tang","doi":"10.1016/j.seps.2025.102246","DOIUrl":"10.1016/j.seps.2025.102246","url":null,"abstract":"<div><div>The improvement of clean water supply is crucial for the development of rural areas. This study examines the impact of tap water use on the vulnerability of rural households to poverty based on the China Health and Retirement Longitudinal Study (CHARLS) four-period household data. The findings reveal that, from an ex-ante perspective, the utilization of tap water significantly reduces poverty vulnerability. The channel through which the usage of tap water mitigates poverty vulnerability lies in enhancing residents' health and increasing the labor supply. Further analysis indicates that the use of tap water exerts a more pronounced impact on elderly families, those with higher levels of education, families living without their children, and individuals residing in areas deeply influenced by Confucian culture. Overall, this study contributes to a more nuanced understanding of the welfare effects associated with clean water utilization among rural communities, thereby providing important implications for developing countries or regions undertaking water improvement initiatives as a means to stimulate sustainable economic growth.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102246"},"PeriodicalIF":6.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147963","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 public health policies on online food delivery services in China","authors":"Hongying Zhao,&nbsp;Luning Liu","doi":"10.1016/j.seps.2025.102243","DOIUrl":"10.1016/j.seps.2025.102243","url":null,"abstract":"<div><div>This paper explores the impact of global COVID-19 lockdown policies on online food delivery services. Sales data from 195 Chinese cities, the impact of lockdown policies on food delivery was evaluated using a time-varying difference-in-differences approach, focusing on the effects at the start and end of the lockdown. The results indicate that lockdown policies significantly reduced the demand for online food delivery services, with sales decreasing by approximately 20.8 %. After the lockdowns were lifted, demand began to recover, but it did not return to pre-lockdown levels. The study found significant variations in the impact of lockdown policies across cities, likely due to cultural factors, pandemic severity, economic conditions and city hierarchy. This study provides an in-depth analysis of the interaction between public health policies and the online food delivery service industry, offering empirical insights for policy-making and corporate strategies during health crises.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102243"},"PeriodicalIF":6.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089694","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":"Optimizing air-HSR intermodal service considering trade-offs in duration at airport: A game analysis in a vertically structured transport market","authors":"Yingzhi Wang,&nbsp;Xiushan Jiang,&nbsp;Jihui Ma","doi":"10.1016/j.seps.2025.102244","DOIUrl":"10.1016/j.seps.2025.102244","url":null,"abstract":"<div><div>Empirical experience of air-HSR intermodal service (AHIS) indicates that transfer processes significantly influence passengers' travel experience and are key to the optimization of AHIS. Airports serve as key nodes for AHIS services, and passengers' waiting costs and service experience at airports are the primary measurements of transfer processes. This paper investigates the optimization of AHIS by considering the trade-offs related to the duration at airports within the airport-transport operator-passenger system. Using an economic game model, we explore the interactions of AHIS connection adjustments, service quality enhancements, and stakeholder incentives across different airline market structures. Key analytical findings suggest that with moderate baseline AHIS connection times, optimization increases passenger traffic and overall transport volume, especially under public airport ownership and duopoly airline markets. We conduct numerical studies based on the Beijing-Shijiazhuang-Shanghai market, finding that AHIS optimization always reduces overall transfer negative utility and improves consumer surplus and social welfare, mainly where passenger sensitivity to service quality is not low. However, the effects on concession revenue and airport profit are not stable. The effects are more pronounced in duopoly markets than in monopoly markets. The sensitivity analysis highlights that while increased concession revenue per passenger benefits the entire transport market system, excessive revenue per unit can paradoxically harm individual transfer experience. Model extensions incorporating variable AHIS coordination costs and endogenous maximum tolerable waiting time demonstrate stable traffic and welfare gains while boosting concession revenue compared to the base model. Finally, several policy and operation insights are discussed.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102244"},"PeriodicalIF":6.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089693","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 bargaining and cooperation through longitudinal clustering analysis: Evidence from a lab-in-the-field experiment","authors":"Edgardo Bucciarelli ,&nbsp;Aurora Ascatigno","doi":"10.1016/j.seps.2025.102239","DOIUrl":"10.1016/j.seps.2025.102239","url":null,"abstract":"<div><div>This study investigates human economic behaviour through longitudinal clustering methods applied to lab-in-the-field experimental data. The experimental design combines the ultimatum game and the public goods game, which are widely used to examine behaviours in both the private and public sectors. To reproduce a more realistic scenario involving bargaining, resource inequality, and cooperation, the final payoffs from 30 rounds of the ultimatum game were used as initial endowments in the subsequent public goods game. The Gini coefficient illustrates how the ultimatum game generates imbalances, thereby providing an experimental foundation for studying resource inequality. Participants endowed with greater resources contributed proportionately larger amounts. Over time, contributions declined across all groups, reaching similar levels despite persistent resource inequalities at the start of the public goods game. The behavioural trajectories were analysed using k-means longitudinal clustering (KML) and growth mixture modelling (GMM). In the ultimatum game, proposers were classified into two categories: Those who consistently tended to make fair offers and those offering smaller amounts. The responders exhibited considerable heterogeneity, with unexpectedly high acceptance rates for relatively unfair offers. Two distinct contribution trajectories were identified in the public goods game. One group contributed a more significant proportion of their endowment than the mean, while the other contributed less. A joint trajectory analysis revealed consistent behavioural pathways observed in the two games. Proposers who made more equitable offers in the ultimatum game were likelier to contribute a greater proportion of their endowment in the subsequent public goods game. Ultimatum game data showed significant behavioural heterogeneity, while public goods game contributions averaged around 40 per cent with notable uniformity. Cooperative behaviour persisted regardless of initial endowment size or ultimatum game decisions, with notable differences across academic backgrounds.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102239"},"PeriodicalIF":6.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071894","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":"Foreward to the special issue: “Predictive and prescriptive analytics for service reorganization in times of transition”","authors":"Sebastian Birolini ,&nbsp;Antonio Diglio ,&nbsp;Chiara Morlotti ,&nbsp;Carmela Piccolo","doi":"10.1016/j.seps.2025.102242","DOIUrl":"10.1016/j.seps.2025.102242","url":null,"abstract":"<div><div>Starting from the general domain of the present special issue (entitled: “Predictive and prescriptive analytics for service reorganization in times of transition”) and the primary motivations for its launch, the editorial discusses the collection of papers accepted for publication. These articles showcase the use of a wide range of quantitative methodologies across multiple application fields, highlighting the relevance of analytics to decision-making theory and practice. Moreover, they underscore the potential for interdisciplinary approaches in tackling open and emerging challenges within evolving goods and service network ecosystems.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102242"},"PeriodicalIF":6.2,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242873","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":"Effective strategies for the prediction of aircraft passenger seat (dis-)comfort based on Time Series Classification","authors":"Amalia Vanacore,&nbsp;Armando Ciardiello","doi":"10.1016/j.seps.2025.102240","DOIUrl":"10.1016/j.seps.2025.102240","url":null,"abstract":"<div><div>Aircraft seat is one of the factors which mostly impact on passenger's flight experience and her/his willingness to choose the same airline in future occasions. The focus of this paper is on the prediction of passenger seat (dis-)comfort via objective methods based on the analysis of pressure distribution at seat interface. The aim is identifying the best strategy for predicting seat (dis-)comfort via the combination of well-known pressure indexes and Time Series Classification (TSC) algorithms applied in a univariate as well as a multivariate setting. To leverage the full potential of TSC algorithms, a comparison across different Data Augmentation (DA) techniques has been conducted. The comparison of seat (dis-)comfort prediction strategies provides useful insights on the informativeness of pressure features to accurately predict seat (dis-)comfort. Adopting a multivariate setting and expanding dataset size artificially have not enhanced predictive performance of TSC algorithms. The only exception results ResNet algorithm which in multivariate TSC benefits from DA, showing satisfactory predictive performance.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102240"},"PeriodicalIF":6.2,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069205","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 collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence","authors":"Yue Li ,&nbsp;Guofu Li ,&nbsp;Anfeng Xu ,&nbsp;Fengmin Yao","doi":"10.1016/j.seps.2025.102238","DOIUrl":"10.1016/j.seps.2025.102238","url":null,"abstract":"<div><div>This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102238"},"PeriodicalIF":6.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099517","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":"An efficient algorithm for multi-modal skyport location problem with choice-based demand","authors":"Gwang Kim ,&nbsp;Yoonjea Jeong ,&nbsp;Youngchul Shin","doi":"10.1016/j.seps.2025.102227","DOIUrl":"10.1016/j.seps.2025.102227","url":null,"abstract":"<div><div>This study presents the operation of urban air mobility (UAM), an innovative transportation technology aimed at alleviating traffic congestion in cities. A key consideration for the successful introduction and efficient operation of the transportation is to decide on locations of skyports, which are stations for vertical take-off and landing of air mobility. In this study, we cover a skyport location problem incorporating choice probabilities of transportation modes for each user by applying a binary logit model. The choice probabilities are predicted by considering factors such as fare, travel time, and social acceptance. We propose two mathematical formulations associated with the skyport location problem; one is to maximize the proportion of users who choose the UAM service and the other is to minimize the total sum of the travel time. The two models are NP-hard problems, necessitating an effective and efficient solution methodology for the problem. This study presents a methodology based on a cross-entropy algorithm, which is known for efficiently solving combinatorial optimization problems. We also validate the good performances of the solution methodology through numerical experiments.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102227"},"PeriodicalIF":6.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918254","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":"Asymmetric impact of human development index on terrorism in Pakistan: New findings from QARDL","authors":"Bushra Zulfiqar ,&nbsp;Livia Madureira ,&nbsp;Shujaat Abbas ,&nbsp;Farrukh Shahzad ,&nbsp;Zeeshan Fareed","doi":"10.1016/j.seps.2025.102226","DOIUrl":"10.1016/j.seps.2025.102226","url":null,"abstract":"<div><div>Pakistan has consistently ranked among the top ten nations most affected by terrorism over the past decade, while also being recognized as having a relatively low level of human development globally. In an effort to identify measures to lessen the threat of terrorism, this study simulates the asymmetric short- and long-term effects of the human development index, inflation, economic growth, and unemployment on terrorism. This is done by employing quarterly data from 1990 Q1 to 2020 Q4 in a novel quantile auto-regressive distributed lag (QARDL) model. Both the estimated result of the QARDL model and the corresponding Wald test result reveal the existence of long-term and short-term asymmetric relationships between human capital development and unemployment in incidents of terrorism, unlike the inflation rate and the gross domestic product, which lead to symmetric relationships. Moreover, the estimated long-term results of symmetric and asymmetric ARDL show that lower human capital development, inflation rate, sluggish economic growth, and soaring unemployment are major causes of terrorism in Pakistan. These new findings will allow government regulators and policymakers to control inflation, improve employment opportunities, and enhance the human development index so as to mitigate terrorism.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102226"},"PeriodicalIF":6.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929006","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 novel third-party mediation model based on minimum weight manipulation for addressing Sino-Kazakh transboundary water resource disputes","authors":"Zilong Huang ,&nbsp;Shinan Zhao ,&nbsp;Jun Wu ,&nbsp;Sharafat Ali","doi":"10.1016/j.seps.2025.102229","DOIUrl":"10.1016/j.seps.2025.102229","url":null,"abstract":"<div><div>Conflicts often involve multiple stakeholders, making it challenging to design mediation schemes that effectively balance diverse interests. A novel third-party mediation model based on the Graph Model for Conflict Resolution (GMCR) is proposed in this paper to assist third parties in identifying the mediation scheme with the minimum cost. Mediation costs are quantified by analyzing the concessions made by each party during the mediation process, as reflected by changes in option weights. Additionally, a mixed-integer programming model is developed, utilizing the four fundamental stability concepts as primary constraints. To solve the model efficiently, the dung beetle optimization (DBO) algorithm is used for its strong global search capability, robustness, and resistance to premature convergence. Finally, the model is applied to the Sino-Kazakh transboundary water dispute, examining mediation schemes under varying weight manipulation thresholds and validating the model's efficacy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102229"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883076","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}