Socio-economic Planning Sciences最新文献

{"title":"An SDG composite index based on Hierarchical DEA and Cooperative Game Theory","authors":"Sebastián Lozano ,&nbsp;Alejandro Saavedra-Nieves","doi":"10.1016/j.seps.2025.102219","DOIUrl":"10.1016/j.seps.2025.102219","url":null,"abstract":"<div><div>The aim of this research is to develop a new approach to compute an SDG Composite Index (CI) aggregating the close to one hundred indicators compiled by the Sustainable Development Report (SDR). These indicators have a hierarchical structure based on the 17 SDGs. The proposed approach formulates a Common Weights Hierarchical Data Envelopment Analysis (CWH-DEA) model that allows defining a Transferable Utility (TU) game with a priori unions. The associated game belongs to the class of Airport games, for which the Owen value is used to compute the contribution of each index to the aggregate performance index. Allocating these contributions allows computing an SDG composite index for each country. The proposed approach does not require establishing a priori bounds on the importance of the different indicators or group of indicators and has been applied to 167 countries using the most recent SDR 2024 data with the corresponding results analysed and discussed. Besides, the proposed approach has been able to endogenously determine the contribution of each of the 98 indicators considered, leading to a rather balanced share distribution by SDG group. The proposed SDG CI is highly correlated with the SDG Index, identifying the OECD as the region with the highest SDG performance, followed by Eastern Europe and Central Asia, while the Middle East and North Africa, Oceania and, especially, Sub-Saharan Africa fall below the World average.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102219"},"PeriodicalIF":6.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814851","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":"Carrot or stick? How to effectively manage non-scale farming waste in rural areas","authors":"Jie Jin ,&nbsp;Xinyue Ren ,&nbsp;Xunzhuo Xi ,&nbsp;Qiuhong Zhao","doi":"10.1016/j.seps.2025.102214","DOIUrl":"10.1016/j.seps.2025.102214","url":null,"abstract":"<div><div>Subsidies (carrot) and supervision (stick) are effective ways to enhance the operational stability and efficiency of the centralized third-party governance model for non-scale farming waste in rural areas. However, the specific scenarios in which these methods are applicable still require further exploration, particularly when considering factors such as regional ecological carrying capacity, farming scale, and variations in the geographical distribution of farmers. From that specific perspective, this paper constructs an evolutionary game model to reflect the interaction relationships among farmers, third-party enterprises, and the government. Based on this model, this paper first investigates the influencing factors and evolutionary paths of strategy selection by the three parties. Second, by combining the model with the simulation analysis results, the authors explain the stability conditions of the equilibrium solutions for each party's strategy. Finally, according to the natural resource endowment and actual agricultural production situations in different regions, this paper provides applicable scenarios for different regulatory strategies and subsidy schemes. The results of this paper indicate that: ① in regions characterized by a low concentration of farming, small farming scale, and high costs of government involvement in supervision, the government should give acquisition subsidies to farmers and investment subsidies for the third-party enterprise, so as to attract various entities to participate in waste management. ② In regions characterized by high farming concentration, large farming scale, and low costs of government involvement in supervision, the government should adopt a combination of supervision and subsidies, so as to promote the stable operation of the third-party management model. ③ In terms of encouraging farmers to comply with waste disposal regulations, the two strategies of subsidy and supervision (i.e., carrot and stick) have a certain degree of substitution. The government should choose supervision or subsidy strategies according to regional factors, such as the concentration of farming, the ecological carrying capacity, and transportation costs. ④ In all scenarios, the total cost of subsidies and supervision for government participation in third-party centralized waste treatment is lower than the environmental losses and political performance losses caused by unregulated waste discharge. The results of this paper provide theoretical support for government participation in environmental governance, while also providing an investment reference for enterprises.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102214"},"PeriodicalIF":6.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820512","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":"Tradeoffs between equity and efficiency in Coordinated Entry of homeless housing systems","authors":"Dashi I. Singham,&nbsp;Mary McDonald,&nbsp;Robert Elliot","doi":"10.1016/j.seps.2025.102212","DOIUrl":"10.1016/j.seps.2025.102212","url":null,"abstract":"<div><div>Coordinated Entry is designed to provide a single access point for people experiencing homelessness to enter a Continuum of Care. Some regions, including the County of San Francisco, offer a scoring assessment to potential program participants to determine their relative need for housing. This score is then used to route participants to the appropriate housing resource. The goal is to achieve equity in assigning the most intensive resources to the most vulnerable people, while balancing efficiency in quickly housing as many people as possible. We create a queueing simulation model to directly compare policies that attempt to balance tradeoffs between equity and efficiency. In particular, we model scoring threshold policies for routing participants, as well as jockeying policies for reallocating participants as additional housing inventory becomes available. Finally, we apply an extensive experimental design to rigorously compare the policies while incorporating wide-ranging input uncertainty. This produces recommendations on how effective routing policies can be designed under changing conditions, with applications to healthcare and other tiered service systems.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102212"},"PeriodicalIF":6.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820511","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 integrated decision framework for landfill mining site selection using GIS, multi-criteria analysis, and optimization models","authors":"Tai-Hsi Wu ,&nbsp;Chun-Yuan Chen ,&nbsp;Shi-Wei Huang ,&nbsp;Teng-To Yu","doi":"10.1016/j.seps.2025.102220","DOIUrl":"10.1016/j.seps.2025.102220","url":null,"abstract":"<div><div>Most studies on landfill management focus on siting new landfills (LSS), while the selection of landfill mining sites (LMSS) in environmentally unsuitable areas remains underexplored. To address this gap, this study proposes a novel three-stage decision-making framework that integrates multiple-criteria decision-making (MCDM)<strong>,</strong> geographic information systems (GIS), hesitant fuzzy linguistic term sets (HFLTS), K-means clustering, and a capacitated plant location model (CPLM). Unlike previous research that relies on case-specific analyses or subjective expert judgment, this framework provides a systematic, data-driven approach to optimize landfill mining decisions while minimizing costs. In Stage 1, GIS-based MCDM evaluates landfill suitability. Stage 2 incorporates HFLTS to account for decision-makers' hesitation in criteria weighting, while K-means clustering categorizes landfills into three types: A (lifespan extension), B (do nothing), and C (priority for mining and removal). Finally, in Stage 3, CPLM optimizes excavation, transportation, and disposal costs, integrating enhanced landfill mining (ELFM) efficiency levels (50 %–90 %). Applied in Taiwan, this framework identified 17 landfills for removal, reclaiming 66 ha of land, with an estimated economic benefit of NT$3.96–13.2 G. Sensitivity analysis highlights the cost-reduction potential of ELFM efficiency improvements, demonstrating the framework's adaptability across different policy contexts. The findings provide policymakers with a scientifically grounded tool to advance sustainable waste management and zero-waste initiatives.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102220"},"PeriodicalIF":6.2,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800662","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":"Sustainability measurement, analysis and assessment for different domains and territorial levels","authors":"Cristian Barra","doi":"10.1016/j.seps.2025.102217","DOIUrl":"10.1016/j.seps.2025.102217","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102217"},"PeriodicalIF":6.2,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873813","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":"Modeling cost-effectiveness analysis of treatment sequencing","authors":"Cristina del Campo ,&nbsp;Jiaru Bai ,&nbsp;L. Robin Keller","doi":"10.1016/j.seps.2025.102210","DOIUrl":"10.1016/j.seps.2025.102210","url":null,"abstract":"<div><div>In clinical practice, patients with cancer often undergo treatment with a sequence of drugs, usually because of diminishing effectiveness over time or resistance development. However, few cost-effectiveness analyses have included that fact in their model. This paper aims at closing that gap by presenting a model that reflects the possibility of the patient switching from one therapeutic agent to another one throughout the long-term duration of his/her life.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102210"},"PeriodicalIF":6.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786092","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":"Machine learning-based prediction of energy poverty in Bangladesh: Unveiling key socioeconomic drivers for targeted policy actions","authors":"Shamal Chandra Karmaker ,&nbsp;Ajoy Rjbongshi ,&nbsp;Bikash Pal ,&nbsp;Kanchan Kumar Sen ,&nbsp;Andrew J. Chapman","doi":"10.1016/j.seps.2025.102213","DOIUrl":"10.1016/j.seps.2025.102213","url":null,"abstract":"<div><div>Energy poverty remains a critical issue in Bangladesh, with substantial disparities in access to energy services across socio-economic and geographic groups. This study explores the socio-demographic factors driving multidimensional energy poverty and evaluates the potential of machine learning (ML) models to improve the predictive accuracy of the multidimensional energy poverty index score compared to traditional statistical models. Using national survey data, we first applied binary logistic regression to identify key determinants, such as division, place of residence, education, and financial inclusion. The results indicate that rural households, particularly in Rangpur and Barisal, face a significantly higher risk of energy poverty. In contrast, higher education and access to financial services are associated with reduced energy deprivation. Recognizing the limitations of traditional statistical models in capturing complex, nonlinear interactions and multicollinearity among socio-demographic factors, we implemented six ML algorithms—Random Forest, Support Vector Machine, K-Nearest Neighbor, Linear Discriminant Analysis, Extreme Gradient Boosting, and Artificial Neural Networks—to enhance predictive precision. The models demonstrated consistently high accuracy, with geographic and socio-economic factors like division, education and financial inclusion emerging as the most important predictors. Our findings emphasize the need for targeted energy policies, especially in rural areas and disadvantaged divisions. Promoting financial inclusion and improving educational access are recommended as effective strategies to further alleviate energy poverty. While the study provides valuable insights, it acknowledges the limitations of cross-sectional data and calls for further research using longitudinal approaches and an analysis of institutional factors.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102213"},"PeriodicalIF":6.2,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747873","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 general series network slacks-based measure approach for non-controllable inputs and undesirable outputs in mixed integer data envelopment analysis: An application to airport operations","authors":"Mushtaq Taleb","doi":"10.1016/j.seps.2025.102211","DOIUrl":"10.1016/j.seps.2025.102211","url":null,"abstract":"<div><div>Efficiency evaluation of many production systems often faces three main issues, which are: (i) how can undesirable outputs accompanied with desirable outputs be treated, (ii) how can inputs that are beyond the control (i.e., non-controllable) of the decision-making units (DMUs) be handled, and (iii) how can data that only takes integer values be handled. Additionally, the internal network structure of DMUs may be ignored in some production systems. To consider the internal network structure of DMUs, a novel network slacks-based measure (NSBM) approach was first proposed by Tone and Tsutsui (2009), which assumes disproportionate changes in inputs and outputs. However, Tone and Tsutsui's (2009) approach did not handle these three issues. This research thus proposes a mixed integer NSBM approach in non-controllable inputs and undesirable outputs for general series network systems. The proposed approach has been applied for modelling and benchmarking the operations of 39 Spanish airports. To validate the impact of proposing non-controllable inputs and undesirable outputs in mixed integer values into the existing NSBM approach, a comparative analysis between the existing approach and the proposed approach has been applied. The comparison indicates that the proposed factors have properly been integrated into the existing approach. The proposed approach is quite general and can be harmonised with different series network topologies and returns to scale technologies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102211"},"PeriodicalIF":6.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826152","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":"Sustainable food waste supply chain network design problem with government environmental oversight: Globalized robust bi-level model and exact algorithm","authors":"Yuexia Wang ,&nbsp;Hongyan Ma ,&nbsp;Ying Liu","doi":"10.1016/j.seps.2025.102205","DOIUrl":"10.1016/j.seps.2025.102205","url":null,"abstract":"<div><div>In the context of circular economy, governments and stakeholders are increasingly concerned about the sustainable development of food waste utilization. Due to the social value and economic significance of food waste recovery system, an examination is conducted on a sustainable food waste supply chain (SFWSC) with government environmental oversight. Under the uncertain amount of food waste collected daily, a novel globalized robust bi-level programming model with government oversight is proposed to optimize the reuse of food waste to minimize total costs and negative environmental impacts such as CO₂ and CH₄. The characterization of the uncertainty of food waste involves a pair of inner and outer uncertainty sets. Based on strong duality theory, the globalized robust bi-level optimization model can be transformed into a computationally tractable mixed integer programming model. To improve solution efficiency and quality, this paper employs the Benders decomposition (BD) algorithm with two accelerated strategies to solve the equivalent model. Lastly, a large-scale case study of food waste management in Shandong Province, China, is carried out to showcase the applicability of the proposed model and algorithm. The results indicate that food waste companies can reduce total costs without increasing environmental impacts under government environmental oversight.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102205"},"PeriodicalIF":6.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724476","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":"Financing road projects and its impact on off-farm work in rural China","authors":"Ligao Bao ,&nbsp;Motoi Kusadokoro ,&nbsp;Atsushi Chitose","doi":"10.1016/j.seps.2025.102209","DOIUrl":"10.1016/j.seps.2025.102209","url":null,"abstract":"<div><div>Effective public sector decision-making in infrastructure financing is crucial for socio-economic development, especially in emerging economies. Since 2003, China has revamped its rural road construction policy, transitioning from “workers self-organised construction (Min Gong Jian Qin)\" to a “one project, one discussion (Yi Shi Yi Yi)\" approach and significantly increasing government investment. This study evaluates the impact of various financing sources—externally funded, self-financed, and mix financed—on rural off-farm income and migration intentions using the Chinese Household Income Project survey data, employing difference-in-differences and propensity score matching methodologies to analyze the socio-economic impacts of rural road projects financed through different sources on off-farm work income and migration intentions of the rural Chinese population. Findings reveal that externally funded road projects significantly enhance off-farm income and encourage migration intentions for work. Conversely, self-financed projects that rely on local villagers' contributions and voluntary labor, show no positive impact on off-farm income and unexpectedly reduce migration intentions. Importantly, projects with mixed financing models were found to have no significant impact on either off-farm income or migration patterns, highlighting challenges in the coordination and efficacy of these hybrid financing strategies. These results contribute to the discourse on public sector decision-making by demonstrating the critical role of government-funded infrastructure in facilitating socio-economic development in rural areas. The study underscores the importance of strategic resource allocation and effective financing models in enhancing rural infrastructure, increasing income, and enabling rural out-migration for improved livelihoods.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102209"},"PeriodicalIF":6.2,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687625","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}