Socio-economic Planning Sciences最新文献

{"title":"Labor endowment, productive services and farmers' adoption of ecological agriculture: Taking rice-crayfish co-culture model as an example","authors":"Xingjie Yang ,&nbsp;Yihang Hu ,&nbsp;Huseyin Caliskan ,&nbsp;Zhenhong Qi ,&nbsp;Qiang Liu","doi":"10.1016/j.seps.2025.102412","DOIUrl":"10.1016/j.seps.2025.102412","url":null,"abstract":"<div><div>Despite growing emphasis on ecological agriculture, limited attention has been examined how labor endowment and productive services to shape farmers' adoption decisions. This study investigates the synergistic role of labor endowment and productive services in adopting the rice-crayfish co-culture model, using 2023 survey data from small-scale farmers in the middle and lower reaches of the Yangtze River. The results show that labor endowment is a key driver of adoption. Both labor quantity and labor quality increase the likelihood of adoption, by 17.5 % and 3.1 % per additional unit, respectively. Productive services further strengthen these effects. Seedling provision and agricultural supply services mainly amplify the effect of labor quality endowment, while planting and disease prevention services reinforce the overall influence of labor endowment. Marketing services play a distinctive role in enhancing the contribution of labor quality to adoption behavior. Heterogeneity analysis reveals that the positive impact of labor endowment is considerably stronger among production oriented farmers, new business subjects, large-scale grain growers, and farmers with better cultivated land conditions than among subsistence and small-scale farmers. Mechanism analysis shows that labor endowment promotes adoption mainly by improving farmers' ability to learn and master ecological production technologies. The study advances theoretical understanding by demonstrating that productive services in complex ecological agricultural systems operate under a complementarity logic, rather than functioning as substitutes for household labor. These findings provide new empirical evidence on the multidimensional mechanisms linking labor endowment, service provision, and ecological technology adoption.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102412"},"PeriodicalIF":5.4,"publicationDate":"2025-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884087","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":"Dynamic evaluation of operational, environmental, and unified efficiencies: A DEA application in agriculture","authors":"Zahra Abbasi ,&nbsp;Mohammad Afzalinejad ,&nbsp;Ali Asghar Foroughi","doi":"10.1016/j.seps.2025.102411","DOIUrl":"10.1016/j.seps.2025.102411","url":null,"abstract":"<div><div>Data Envelopment Analysis (DEA) is a prominent tool used to assess the efficiency of decision-making units (DMUs). While static DEA models measure performance without considering time dependency, dynamic DEA incorporates time as a factor in the modeling. In recent years, environmental concerns have become a significant focus for the world community. In the context of DEA, these concerns are often expressed as undesirable outputs of the production process. Therefore, in addition to evaluating operational efficiency, it is essential to consider environmental efficiency to obtain a comprehensive measurement of DMUs’ performance. This paper presents the assessment of operational and environmental efficiency and their integration into a unified efficiency measure within the dynamic DEA framework. The time dependency of efficiency is taken into account and the links between consecutive time periods are categorized as either good or bad types. Additionally, static environmental models are established to enable comparison of dynamic and static efficiency. The proposed models are used to evaluate the performance of twenty-one countries in the agriculture sector. In this study, GHG emissions and cumulative agricultural loss due to disasters are selected as undesirable factors. Environmental efficiency generally improves over 2016–2018; however, while the static assessment shows steady progress, the dynamic assessment rises until 2017 and then slightly declines in 2018. The number of efficient countries in the operational dimension is much more than those in the environmental dimension, which shows that the economic dimension has a higher priority among countries.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102411"},"PeriodicalIF":5.4,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884089","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":"Optimal resource allocation estimation of agricultural sustainable systems based on inverse network DEA","authors":"Jiqiang Zhao ,&nbsp;Lijun Cheng ,&nbsp;Xianhua Wu","doi":"10.1016/j.seps.2025.102410","DOIUrl":"10.1016/j.seps.2025.102410","url":null,"abstract":"<div><div>Sustainable agricultural systems are crucial for balancing food security and ecological protection. This study develops a two-stage inverse network data envelopment analysis (DEA) model that incorporates shared inputs and undesirable outputs to evaluate and optimize resource allocation in agricultural production and pollution control. Using data from 31 Chinese provinces (2010–2023), the model estimates optimal resource allocation strategies under constant-efficiency and efficiency-improvement scenarios. Results indicate that although system efficiency is generally improving, notable regional disparities remain. Under constant efficiency, achieving a 5 % output increase requires substantial input growth, particularly in pesticides, whereas efficiency improvement reduces overall inputs by an average of 5.84 %, indicating the role of technological progress in resource conservation. The proposed framework represents a dynamic and practical tool for policymakers to design targeted, forward-looking strategies for sustainable agriculture.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102410"},"PeriodicalIF":5.4,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839906","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":"Capturing and representing the multidimensionality of welfare through structural equation modeling and a goal-based composite indicator with multiple constraints","authors":"Matheus Pereira Libório,&nbsp;Helena Teixeira Magalhães Soares,&nbsp;Caio Cesar Soares Gonçalves,&nbsp;Marcos Flávio Silveira Vasconcelos D'Angelo,&nbsp;Petr Iakovlevitch Ekel","doi":"10.1016/j.seps.2025.102409","DOIUrl":"10.1016/j.seps.2025.102409","url":null,"abstract":"<div><div>This study examines the concept of multidimensional welfare, which encompasses multiple aspects across various dimensions. The study introduces an approach that combines ranking normalization, structural equation modeling, and a new method for constructing composite indicators. This approach enables improved differentiation of welfare levels, confirming the multidimensional nature of welfare and representing it through a readily understandable unidimensional measure. This innovative approach fills a gap in methodologies by considering the interrelationships between dimensions, avoiding aggregating dimensions that carry little information into the composite indicator, ensuring the composite indicator's multidimensionality, and avoiding making it predominantly explained by a single dimension. Other advantages of this approach include a rigorous explanation of the conceptual framework of multidimensional welfare, avoiding the assignment of equal weights to the dimensions due to the lack of a clear and consistent weighting scheme, and providing transparency in the objective definition of dimension weights. The results indicate that government efforts to provide social services and protection are insufficient to improve welfare levels in the poorest municipalities. Governments should not allocate resources solely to social assistance and protection; instead, they should generate employment and income opportunities and promote digital inclusion, leisure, culture, and sports. In addition to contributing to the welfare literature and informing the formulation of more effective social policies, this study advances the composite indicators literature by offering an innovative weighting scheme that ensures conceptual compatibility and preserves the composite's multidimensionality.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102409"},"PeriodicalIF":5.4,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839907","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":"Context-rich data sets for school operations models and methods","authors":"Aysu Ozel ,&nbsp;Karen Smilowitz","doi":"10.1016/j.seps.2025.102406","DOIUrl":"10.1016/j.seps.2025.102406","url":null,"abstract":"<div><div>In transportation and logistics problems, such as the traveling salesman problem or the vehicle routing problem, the geographic distribution of nodes can significantly impact both the solutions obtained and the performance of solution approaches. Therefore, it is common for researchers to share test instances for meaningful comparisons. In some contexts, this is more challenging when data are protected and cannot be shared. This is particularly true for transportation and logistics problems found in public school operations. Despite growing literature, proposed models and solution approaches are rarely compared across papers because data protection regulations prohibit sharing data. At the same time, randomly generated data can miss critical patterns existing in reality that may impact equitable access to education. In this paper, we introduce a framework to create context-rich data sets for school operations models and methods based on publicly available data that reflect public school district characteristics in the United States.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102406"},"PeriodicalIF":5.4,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790383","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":"Perceptions and beliefs of local Iranian communities towards forest protection","authors":"Moslem Savari ,&nbsp;Bagher Khaleghi","doi":"10.1016/j.seps.2025.102407","DOIUrl":"10.1016/j.seps.2025.102407","url":null,"abstract":"<div><div>The deforestation phenomenon increases every year all over the world due to human and natural factors and sometimes leaves irreparable negative consequences. Therefore, the majority of countries and related researchers and policy-makers are looking for solutions to prevent further damages to them. In the meantime, in Iran, as a country with limited forest area, they are also being destroyed on a large scale due to local communities being heavily reliant on the forests for their livelihoods and the absence of sustainable resource management. In this regard, this research was aimed at discovering the factors affecting the forest conservation behavior (FCB) in northwestern Iran. Here, Health Belief Model (HBM) was employed as the research theoretical framework. The study utilized questionnaire survey method, and data analysis was conducted using structural equation modeling (SEM). The statistical population was all local people residing on the margins and inside the Arasbaran forests in northwestern Iran. The findings indicated that HBM is an efficient theory in this regard, so that its components including Perceived Susceptibility (PS), Perceived Severity (PSV), Perceived Benefit (PB), Perceived Barriers (PBR), Cue to Action (CU) and Self-Efficacy (SE) were able to explain 61 % of the FCB variance. The results of this effort, while filling the gaps in the research literature in this field, can help the relevant policy-makers and decision-makers in promoting safe behavior in the natural environment and forest sustainability.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102407"},"PeriodicalIF":5.4,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737728","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":"Nudging households' sustainable investments: results from a pilot lab-in-the-field experiment in two Italian cities","authors":"Beatrice Bertelli ,&nbsp;Marianna Brunetti ,&nbsp;Costanza Torricelli ,&nbsp;Mariangela Zoli","doi":"10.1016/j.seps.2025.102405","DOIUrl":"10.1016/j.seps.2025.102405","url":null,"abstract":"<div><div>This paper investigates households' willingness to pay for sustainable investments using evidence from a pilot lab-in-the-field experiment run in different branches of a large Italian bank. The analysis reveals three main results. First, the willingness to pay is lower for graduated individuals, higher for those with a medium investment horizon, for those engaged in volunteering and for those concerned about climate change. Second, the exposure to a negative (vs. positive) visual treatment, causes an average increase in the willingness to pay for Environmental, Social, and Governance assets, albeit this effect vanishes once controls are added. Third, when dissecting results by the factor of interest, the negative visual treatment significantly increases the willingness to pay among the investors interested in the Environmental dimension only. This suggests that, with suitable leverage, the demand and willingness to pay for all sustainability dimensions can be nudged, with important industry and policy implications.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102405"},"PeriodicalIF":5.4,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790465","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":"Resilient emergency facilities location–allocation under cascading uncertainty: A two-stage robust optimization model","authors":"Hongyan Li ,&nbsp;Dongmei Yu ,&nbsp;Mengyuan Zhang","doi":"10.1016/j.seps.2025.102395","DOIUrl":"10.1016/j.seps.2025.102395","url":null,"abstract":"<div><div>The growing complexity of disasters originating from natural phenomena, compounded by cascading uncertainty, necessitates resilient emergency facilities location planning to enhance response capabilities. To address this challenge, this study proposes a novel “reinforcement-cascading uncertainty-recovery” framework to enhance system resilience. This framework specifically addresses the cascading effect propagation mechanism (CEPM) from supply-side facility disruptions to demand-side nodes, by integrating pre-disaster reinforcement with post-disaster coordinated response. Based on this framework, we develop a two-stage robust optimization model to jointly optimize facility location, structural reinforcement, and resource allocation decisions. A distinctive feature of our model is the decision-dependent uncertainty set, which captures the endogenous effect of reinforcement strategy on facility disruptions, and the cascading effect of facility disruptions on demand fluctuations. To solve the proposed model, we develop a hybrid methodology by combining a neutralization-based uncertainty transformation method with the column and constraint generation (C&amp;CG) algorithm to reformulate and solve the model. Through the earthquake case in Istanbul, we quantify the effect of reinforcement strategy on network resilience, conduct sensitivity analyses on key parameters, and derive critical managerial insights. Our results indicate that, in comparison to the baseline model without reinforcement strategy, the proposed model reduces the number of facilities that need to be opened by approximately 50% while maintaining the desired service level. These findings provide decision-makers with a practical and efficient strategy for enhancing disaster response capabilities under cascading uncertainty.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102395"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683315","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 sustainable last-mile delivery modes using IF-MAIRCA: The perspective of local authorities","authors":"Fulya Zaralı ,&nbsp;Şaban Fatih Yılmaz ,&nbsp;Neslihan Demirel ,&nbsp;Akram Elomiya ,&nbsp;Stefan Jovčić","doi":"10.1016/j.seps.2025.102393","DOIUrl":"10.1016/j.seps.2025.102393","url":null,"abstract":"<div><div>Significant changes have been observed in the shopping habits of urban populations, particularly following the onset of the COVID-19 pandemic. Shopping by physically going to the store has begun to be replaced by e-commerce shopping, offering advantages such as time savings, a wide variety of options, and opportunities for price comparison. Although online shopping enables modern urbanites to meet their needs comfortably, it increases the volume of commercial traffic in the city, resulting in emissions, parking problems, and air and noise pollution. For last-mile delivery (LMD)—one of the main contributors to commercial traffic in urban centers and defined as delivering orders to end customers—various alternative modes have been introduced in many countries and cities. These alternatives aim to replace conventional home delivery to reduce costs, lower energy consumption and emissions, eliminate failed deliveries, and address challenges such as low vehicle load rates and traffic congestion. Achieving these gains is closely related to the attitude of local authorities and the incentives and infrastructure provided by them. In this study, conventional home delivery and five alternative LMD modes (e-van, e-bike, drone, AGV, droid) are evaluated with a Multi-Criteria Decision-Making (MCDM) approach over a wide set of criteria from the perspective of local authorities. The IF-MAIRCA (Intuitionistic Fuzzy Multi-Attributive Ideal-Real Comparative Analysis) method is used to take into account the uncertainty in LMD processes and the intuition of decision-makers in the problem. The proposed framework is illustrated on a real-life problem in Kayseri, Türkiye. According to the results, the e-van was ranked first, followed by the e-bike, and the droid was ranked last. To test the consistency of the results obtained from IF-MAIRCA, a comparative analysis is conducted. An extended TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Grey Relational Analysis, and WASPAS (Weighted Aggregated Sum Product Assessment) methods are employed in an intuitionistic fuzzy environment for this purpose. Sensitivity analysis is also carried out to assess the robustness of the results against variations in the criteria weights. Analyses have shown that the performance rankings of alternatives obtained using different MCDM methods and varying criteria weights are generally consistent.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102393"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683316","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":"Foreword to the Special Issue “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organizations”","authors":"Grammatoula Papaioannou,&nbsp;Victor V. Podinovski","doi":"10.1016/j.seps.2025.102386","DOIUrl":"10.1016/j.seps.2025.102386","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102386"},"PeriodicalIF":5.4,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736689","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}