Socio-economic Planning Sciences最新文献

{"title":"Modeling and managing resilience and risk for interdependent networks","authors":"Felipe Aros-Vera ,&nbsp;Shital Thekdi","doi":"10.1016/j.seps.2024.102105","DOIUrl":"10.1016/j.seps.2024.102105","url":null,"abstract":"<div><div>Catastrophic events have the potential to cause major disruptions to interdependent networks such as supply chains, critical infrastructures and other networks that are vital for the functioning of our society. Addressing the resilience and risk of compromised networks is challenging due to a variety of factors. First, these networks are becoming increasingly interdependent, such that network recovery is contingent upon recovery in connected networks. Additionally, interdependent networks may have multiple functions, system users, owners, and stakeholders. There is a need for data-informed decision-making models that address resilience and risk for these interdependent infrastructure networks. We address these issues by: 1) Modeling interdependencies among infrastructure networks using a multi-layer interdependent network framework, 2) Quantifying the relationship between network resilience and the inter-network connection structure, and 3) Supporting management and strategic decision-making for investment in inter-network connection structures, supporting risk mitigation needs and strategies. Our paper combines network optimization and network science methods to produce a unified framework to analyze resilience. We apply the methods of this paper to the interdependent infrastructure network of Puerto Rico following the 2017 Hurricane Maria. This paper supports decision-making for data-informed resilience management for interdependent infrastructure networks.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"97 ","pages":"Article 102105"},"PeriodicalIF":6.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747251","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":"Impact of family members’ perception bias on service strategies of elder care institutions","authors":"Xiaoxiao Wang,&nbsp;Changyong Liang","doi":"10.1016/j.seps.2024.102107","DOIUrl":"10.1016/j.seps.2024.102107","url":null,"abstract":"<div><div>Family members play an important role in the decision-making process of the elderly in accepting elder care services, which inevitably influences the operational strategy of elder care institutions (ECIs). Previous literature has focused on the disagreements between the elderly and their family members, but a research gap remains in examining the effects of family members' perception bias on ECIs' decisions to outsource service and on the elder care service market in general. Our study bridges this gap by employing a game-theoretic model that incorporates monopoly and duopoly markets to explore these effects. Our findings indicate that family members' perception bias for ECIs' services negatively impacts ECIs' prices, demand, and profit. Moreover, we find that in the monopoly market, an ECI should adopt the outsourcing strategy to reduce losses if family members' perception bias is higher. In the duopoly market, when family members' perception bias is higher, if one ECI adopts the outsourcing strategy, then the other ECI should opt for the self-providing strategy, and vice versa. Furthermore, we observe that a higher perception bias decreases family surplus and social welfare in the monopoly market. However, it may sometimes benefit family surplus and social welfare in the duopoly market. Our results offer insightful takeaways for ECIs' operational strategies and policymakers’ welfare policies in the elder care service market.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102107"},"PeriodicalIF":6.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134550","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":"Low-carbon route optimization model for multimodal freight transport considering value and time attributes","authors":"Xinghui Chen ,&nbsp;Xinghua Hu ,&nbsp;Haobing Liu","doi":"10.1016/j.seps.2024.102108","DOIUrl":"10.1016/j.seps.2024.102108","url":null,"abstract":"<div><div>As the international community increasingly focuses on climate change, optimizing low-carbon transportation routes in the multimodal freight transport system has become a pressing issue. However, due to the variability in cargo properties and the influence of various factors on transportation route decisions, formulating a low-carbon and economical multimodal freight transport plan remains a significant challenge. To address the issue, this study considered cargoes with different attributes in terms of both value and time attributes. Triangular fuzzy numbers were employed to represent the uncertain demand for cargo, with confidence levels introduced for clarification. A low-carbon route decision optimization model for multimodal freight transport was established to minimize the combined transportation carbon emission and time costs. The catastrophe adaptive genetic algorithm, based on Monte Carlo sampling, was employed to solve the model using arithmetic examples. Finally, parameter sensitivity analysis revealed that adjustments to carbon tax values and changes in the proportion of electric trucks and green electricity supply had the most significant impact on the low-carbon route decision-making plan for multimodal freight transport. For low value-added and timeliness-strong cargo, a 60 % increase in carbon tax value shifted the mode of transportation from road to railway. When the carbon tax increased by more than 140 %, the transportation mode shifted from railway to waterway. Additionally, when the proportion of electric trucks and green electricity supply both exceeded 80 %, the transportation mode between some city nodes shifted from railway to road. When these proportions increased beyond 90 %, road transportation became the predominant mode.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102108"},"PeriodicalIF":6.2,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651419","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":"Measurement and comparison of different dimensions of renewable energy policy implementation in the agricultural sector","authors":"Somayeh Dehhaghi ,&nbsp;Shahla Choobchian ,&nbsp;Hossein Azadi","doi":"10.1016/j.seps.2024.102106","DOIUrl":"10.1016/j.seps.2024.102106","url":null,"abstract":"<div><div>The current research aims to measure the different dimensions of renewable energy policy implementation and compare these dimensions with each other, focusing on Iran's agricultural sector. This analysis makes it possible to identify the strengths and weaknesses in implementing existing policies. The five dimensions include “organizational and institutional”, “incentives”, “investment”, “infrastructure”, and “human resources development”. The statistical population of this research comprised energy policy experts, whose number was 85. The sampling method was random, and 70 persons participated in answering the questionnaire using the Karjesi and Morgan table. A questionnaire was used to collect data. The reliability of the questionnaire was calculated using Cronbach's alpha (0.916). Face validity, content validity ratio (CVR), and content validity index (CVI) were applied to determine validity. In the calculation of CVR, values ≥ 0.33 were considered reasonable and appropriate to confirm each item. All CVI values obtained were higher than 0.79. Multi-criteria analysis was used to analyze the data. The results indicated that organizational and institutional policies were at the highest level of unsustainability. The dimension of investment policies showed less unsustainability than other dimensions. The other three dimensions also showed significant deficiencies. It seems that policy development to eliminate the diversity and interference of organizations, fuel subsidies revision, market policy development, attracting capital, and participation of stakeholders is necessary to reduce unsustainability in this field. The development of the resources of expert forces and attention to educational policies should also be considered.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102106"},"PeriodicalIF":6.2,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651420","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":"Performance evaluation of child welfare departments using Data Envelopment Analysis: A comparative study across US states","authors":"Sepideh Sedghi ,&nbsp;Shima Azizi ,&nbsp;Katherine Canada ,&nbsp;Vincent Charles ,&nbsp;Andrew C. Trapp","doi":"10.1016/j.seps.2024.102101","DOIUrl":"10.1016/j.seps.2024.102101","url":null,"abstract":"<div><div>Public child welfare agencies play a pivotal role in safeguarding the well-being of children and thus, the future of our society. While the performance of child welfare agencies is of critical importance, limited previous research relying on operations research and advanced analytics appears to exist in the analysis of their performance. We conduct a multi-criteria analysis for benchmarking the performance of the United States child welfare system, using Data Envelopment Analysis (DEA) to evaluate the performance of public child welfare agencies across different US states. We select as outputs various statewide data indicators from the Child and Family Services Review (CFSR), while our inputs include the total annual expenditure by each state on the child welfare system. We use clustering to differentiate agencies based on the presence of the “Alternative Response” policy, which provides for preventive and support options for families, and apply DEA to each homogeneous cluster. We identify best-practice agencies and provide benchmarks for the remaining agencies to enhance their performance. Our study offers data-driven directions for child welfare agencies to improve safety and permanency outcomes for children.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"97 ","pages":"Article 102101"},"PeriodicalIF":6.2,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142700839","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 Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes","authors":"Yujia Liu ,&nbsp;Xinru Ren ,&nbsp;Feixia Ji ,&nbsp;Changyong Liang ,&nbsp;Jian Wu","doi":"10.1016/j.seps.2024.102100","DOIUrl":"10.1016/j.seps.2024.102100","url":null,"abstract":"<div><div>The evaluation of doctors’ offline medical service quality plays a vital role in evaluating hospital performance. There are two challenges that need to be addressed: (1) Currently, telephone follow-up and questionnaire surveys are the main methods for evaluating the quality of offline (mainly outpatient and inpatient) medical services in hospitals. However, these methods suffer from drawbacks such as low efficiency and resource consumption. (2) There are certain limitations to determining attribute dimensions and weighting patient evaluation attributes based solely on word frequency. To this end, this study proposes a Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes. First, this study constructs a medical Kansei lexicon based on speed and cosine similarity. Second, a concept of Kansei utility values is been defined to represent attribute values in medical service quality evaluation. Additionally, this study builds upon the Kano model to obtain the Kano classification of each attribute. On that basis, a novel approach to obtaining the implicit importance of the attributes is proposed. Thus, the weight vector of the attributes can be calculated as the combination of explicit and implicit importance. Finally, the evaluation result is obtained by using the multiattribute decision-making method. The effectiveness of the proposed method is verified through an analysis of online reviews from Haodf.com. The case study reveals that offline patients consider medical ethics and communication skills as the ”must-be” dimension of attributes, medical competence as a one-dimensional attribute, and medical advice and prescriptions as the attractive dimension of attributes. A comparative analysis with the traditional method is conducted to demonstrate the importance of dimensional analysis for offline medical service quality evaluation. The main contributions of this study include the following: (1) A medical Kansei lexicon is constructed based on Kansei engineering, and (2) a novel decision-making framework for medical service evaluation based on both appearance and implicit importance is constructed.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102100"},"PeriodicalIF":6.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592770","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":"Investigating water sustainability towards indicators: An empirical illustration using country-level data","authors":"Riccardo Ievoli ,&nbsp;Rosa Vinciguerra ,&nbsp;Adriana Bruno","doi":"10.1016/j.seps.2024.102102","DOIUrl":"10.1016/j.seps.2024.102102","url":null,"abstract":"<div><div>This paper contributes to the academic debate on the construction of synthetic indices with respect to water-based sustainability analysis. In this regard, the United Nations Sustainable Development Goal (SDG) 6.4 specifically considers the progress on water-use efficiency within the target of ensuring access to water and sanitation (SDG 6). Our contribution investigates the levels of water sustainability reached by countries around the world considering a suitable measure of the goal obtained by aggregating variables available at the national level, i.e. water efficiency (SDG 6.4.1) and stress (SDG 6.4.2).</div><div>The construction of a composite index for SDG 6.4 is discussed through the usual steps of normalization, aggregation, and weighting, also highlighting the pros, cons and issues encountered in each step. Fundamental issues faced in the construction of synthetic indices are also discussed: different methods for performing the above steps are compared, and uncertainty analysis is carried out to understand which methods could be reasonably suitable to measure the synthetic indicator of the entire target. As a further theoretical contribution, we illustrate some arguments in favor of the application of categorical scales for normalization, even if the results of some countries seem to be particularly sensitive to the choice of weights in the aggregation phase.</div><div>Results, obtained after examining univariate and multivariate descriptive statistics, show that the best performances can be observed in small and medium European countries and sub-Saharan African nations (such as Congo, Gabon, and Angola), while the lowest levels appear to be located in Central Asia, the Middle East, and North Africa.</div><div>A natural implication of this research is its contribution to valorizing the social capital of a regional area, stimulating new approaches to environmental issues, informing public debate, and influencing policy-making.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102102"},"PeriodicalIF":6.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What about QR codes on wine bottles? A statistical analysis of technology's influence on purchase decisions among Italian wine consumers","authors":"Nino Adamashvili,&nbsp;Alessia Spada,&nbsp;Mariantonietta Fiore,&nbsp;Caterina Tricase","doi":"10.1016/j.seps.2024.102088","DOIUrl":"10.1016/j.seps.2024.102088","url":null,"abstract":"<div><div>The growing significance of information availability about products for consumers represents a pivotal dimension in contemporary consumer behavior and decision-making processes. In the context of an ever-evolving global marketplace characterized by a huge number of choices, rapid technological advancements and increased consumer awareness, access to comprehensive product information has emerged as a fundamental factor affecting consumers' preferences, choices, and satisfaction levels. There is a significant scientific gap on Italian wine consumers' readiness to adopt emerging technologies. Therefore, the research objective is to investigate whether Italian wine consumers trust and are willing to use emerging technologies such as Quick Response (QR) code and Blockchain Technology (BCT) and to identify the factors influencing their acceptance. By examining and evaluating several crucial aspects in the context of wine purchases in Italy using an online survey, this work seeks to fill the gap in the literature. These crucial elements include customers' propensity for novelty, information-seeking behaviors, faith in new technology, and the intention to use them during wine purchasing. What can be derived is the positive interconnection between consumers novelty-seeking, information-seeking, intention to use the QR code and trust in emerging technologies. With other words, consumers' information-seeking and novelty-seeking is interconnected and they positively determine consumers trust in technologies and their adoption. The implications of this study are twofold. Firstly, it enriches consumer behavior theory by providing new insights into how information availability and emerging technologies influence consumers’ decision-making processes, particularly in the context of the Italian wine market. Secondly, businesses can leverage these insights to enhance consumer trust and satisfaction, enabling them to make more effective marketing strategies, improve product transparency, and gain a competitive edge in the increasingly competitive wine market.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102088"},"PeriodicalIF":6.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intergenerational transmission of disadvantages in the Italian labour market","authors":"Elena Fabrizi ,&nbsp;Isabella Sulis ,&nbsp;Annalisa Busetta ,&nbsp;Giancarlo Ragozini","doi":"10.1016/j.seps.2024.102097","DOIUrl":"10.1016/j.seps.2024.102097","url":null,"abstract":"<div><div>The equity of a country is commonly assessed by examining the distribution of economic resources, access to higher education, and positions of societal influence relative to family socio-economic background. This study investigates the mechanisms perpetuating inequalities in the Italian labour market by analysing how family background influences educational attainment and subsequent labour market outcomes. Using the innovative AdSilc database, which integrates administrative and survey data on socio-economic backgrounds, we employed Generalized Path Analysis to explore complex relationships among exogenous, mediating, and endogenous variables. Incorporating the Heckman selection model addressed potential biases related to labour market participation. Additionally, we utilized generalized latent variable models for ordinal data to define family socio-economic status. Our findings underscore a pronounced intergenerational transmission of inequalities and a persistent wage gap across all cohorts analysed. Growing up in an advantaged family not only enhances educational attainment but also influences divergent labour market outcomes observed upon entry and after ten years of career progression.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102097"},"PeriodicalIF":6.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the effects of digital finance on urban poverty","authors":"Zhimin Duan ,&nbsp;Fangjie Yuan ,&nbsp;Zhengjie Tian","doi":"10.1016/j.seps.2024.102099","DOIUrl":"10.1016/j.seps.2024.102099","url":null,"abstract":"<div><div>This study examines the impact of digital financial services development on urban poverty. Utilizing the vicious cycle of poverty theory, we established a multidimensional poverty measurement index to assess the poverty status of urban households and propose strategies for leveraging digital finance to address urban poverty. Through empirical research based on a comprehensive dataset from China covering the period from 2012 to 2020, we evaluated the moderating effect of digital financial growth on urban poverty. Our analysis, which categorized poor urban households into five groups—laid-off workers, unemployed individuals, migrants, the elderly, and disabled persons—revealed that only the unemployed and migrants experience significant benefits from digital financial development. Lastly, we explore the underlying mechanisms and emphasize the role of investment, financing, and entrepreneurship in utilizing digital finance for poverty alleviation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102099"},"PeriodicalIF":6.2,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}