Socio-economic Planning Sciences最新文献

{"title":"Beyond the land quantity: Rethinking the role of land quality in agriculture from the efficiency perspective","authors":"Baishu Guo,&nbsp;Gui Jin","doi":"10.1016/j.seps.2024.102151","DOIUrl":"10.1016/j.seps.2024.102151","url":null,"abstract":"<div><div>With the development of production frontier theory, the technical efficiency analysis framework integrating quantitative and quality indicators has become a new trend. Few studies have tried to embed land quality as an input into the technical efficiency analysis, but the discussion on the scientificity and necessity of the selected indicators is still insufficient. This study selected soil organic carbon (SOC) as the characteristic index of land quality and embedded it into the parametric directional distance function to discuss the difference between the unconstraint model and constraint model. The results show that regarding the econometric test, the model with SOC has better realistic interpretation ability. Regarding technical efficiency, the model without SOC cannot reflect the actual characteristics of agricultural production. Regarding shadow price, the ideal market value of SOC is much higher than that for land quantity. Regarding substitution elasticity, the SOC cannot be substituted by land quantity in arable land use. We propose to select key indicators from the soil that participate in the crop growth process, serve as components of crop nutrients, and have a positive correlation with crop yield as representative indicators of land quality to be incorporated into the production function after the necessary and scientific systematic evaluation of the indicators to promote the sustainable use of land resources.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102151"},"PeriodicalIF":6.2,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134505","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 smart and agile dry port-seaport logistic network considering industry 5.0: A multi-stage data-driven approach","authors":"Shabnam Rekabi ,&nbsp;Zeinab Sazvar","doi":"10.1016/j.seps.2024.102141","DOIUrl":"10.1016/j.seps.2024.102141","url":null,"abstract":"<div><div>The advent of Industry 5.0 (I5.0) has precipitated a demand for sophisticated technological solutions across diverse sectors, with a particular emphasis on logistics. Dry Port-Seaports (DPSs), playing a pivotal role in facilitating international trade, are poised to derive substantial advantages from this revolution, while limited attention has been dedicated to this subject matter. This work is among the first studies that present a multi-stage, multi-objective scenario-based programming model to design a logistics network of DPSs, considering a combination of an Internet of Things (IoT) based infrastructure and I5.0 principles. Several real-world characteristics, including tardiness, staff fatigue, Multi-Modal Transportation (MMT), interrupted capacity, and export/import forecasting, are integrated into the proposed model, as well. For this purpose, the potential locations of Dry Ports (DPs) are evaluated based on I5.0 dimensions by applying the Stochastic Best Worst Method (SBWM). Subsequently, the selected DPs are assessed regarding the deployment of Internet of Things (IoT) infrastructure. Eventually, a mathematical model is developed to design the DPS Logistic Network (LN) optimally. To tackle the developed mathematical model, an effective solving approach, called the Stochastic Fuzzy Meta Goal Programming (SFMGP) procedure, is introduced. Among the various time-series prediction models examined, the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, characterized by a lower Akaike Information Criterion (AIC), is chosen to forecast demand, as well. In order to ascertain the efficacy of the proposed framework, a real case study from commercial ports of southern Iran has been undertaken. The obtained results illustrate that the deployment IoT-based systems has significant impacts on the prevention and management of disruptions; however it may necessitate a high initial investment outlay. Moreover, the integration of IoT technology within logistics networks offers avenues for optimizing efficiency, transparency, and decision-making procedures. To illustrate, the tardiness rate is reduced by 68 % and transparency is heightened by 71 % based on the results.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102141"},"PeriodicalIF":6.2,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134746","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":"Using Artificial Intelligence/machine learning to evaluate the distribution of community development aid across Myanmar","authors":"Woojin Jung ,&nbsp;Saeed Ghadimi ,&nbsp;Dimitrios Ntarlagiannis ,&nbsp;Andrew H. Kim","doi":"10.1016/j.seps.2024.102139","DOIUrl":"10.1016/j.seps.2024.102139","url":null,"abstract":"<div><div>Achieving global poverty alleviation goals requires a systematic allocation of resources, particularly at the subnational level. However, assessing the pro-poor nature of development efforts is challenging without community-level poverty data. In the context of Myanmar, our study presents granular methods to estimate poverty, examine targeting, and predict aid distribution based on village-specific attributes. We evaluate multiple poverty estimation methods, leveraging both daytime and nighttime satellite imagery along with geofeatures. Daytime image features, when processed with convolutional neural networks (CNN), provide the most accurate poverty estimates. Using this refined poverty metric, we evaluate the targeting error and deploy machine learning (ML) techniques to predict the block grant size each village receives for community development. Findings show that a majority of beneficiary villages have predicted wealth above the median, resulting in high targeting errors. While impoverished villages tend to receive more grant aid per capita, wealth is not a primary factor. Instead, village capacity and state/ethnicity attributes hold more sway. The study highlights the need for an increased poverty-centric approach in community-based interventions and calls for more transparent aid allocation practice in Myanmar with potential implications for other conflict-prone countries.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102139"},"PeriodicalIF":6.2,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134737","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 evaluation policies to identify students with reading disabilities","authors":"Akshaya Suresh ,&nbsp;Edward H. Kaplan ,&nbsp;Edieal J. Pinker ,&nbsp;Jeffrey R. Gruen","doi":"10.1016/j.seps.2024.102116","DOIUrl":"10.1016/j.seps.2024.102116","url":null,"abstract":"<div><div>Reading disabilities affect 10%–20% of students in the US. Untreated students fall behind their typically developing peers, leading to poor long-term outcomes. While instructional interventions can help, they are most effective when implemented early. Inexpensive screening tests can be used to monitor and flag at-risk students who may need expensive follow-up diagnostic evaluations that determine eligibility for intervention. However, conventional wisdom holds that the accuracy of these tests increase with grade level. Schools that do not have the capacity to do follow-up evaluations on every student flagged by screening are therefore believed to face an operational trade-off in allocating resources for evaluations, balancing the need for early intervention against budget constraints and legal obligations to honor direct parent or teacher requests. We examine how school administrators can choose evaluation policies to maximize benefits from intervention for students and ensure equitable allocation across diverse backgrounds. We model identification by optimizing over a time-dependent Bernoulli process which incorporates the screening test accuracy and the benefits from intervention at different grade levels. In collaboration with researchers from the Florida Center for Reading Research, we use longitudinal data from school districts across the state to empirically estimate these parameters and numerically solve for the optimal policies. Our study provides actionable insights for school administrators making resource allocation decisions and policy makers considering changes to laws governing the identification process. In this context, counter to conventional wisdom the screening test accuracy does not increase with grade level. To maximize the benefit to students under the current identification process, schools should simply evaluate as many students as their budget allows as early as possible. At existing budget levels, this policy also results in maximally equitable allocations. Changes to the identification process that ease legal obligations can increase benefits by up to 66% and decrease disparities by up to 100% without additional funding.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102116"},"PeriodicalIF":6.2,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134565","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":"Sustainable planning of penal facilities through multi-objective location-allocation modelling and data envelopment analysis","authors":"Atıl Kurt,&nbsp;Mehmet Gumus","doi":"10.1016/j.seps.2024.102147","DOIUrl":"10.1016/j.seps.2024.102147","url":null,"abstract":"<div><div>The escalating population of inmates necessitates a substantial increase in penal facilities. Consequently, there arises a pressing need for strategic planning to identify the location and capacities of new penal facilities, along with the appropriate allocation of prisoners therein. This study proposes a solution methodology to address this imperative by considering multiple future periods and objectives. Specifically, the study examines three objective functions simultaneously based on the three dimensions of sustainability, delineated along economy, society, and environment. To operationalize this framework, a multi-objective mixed integer linear programming model is developed, and an iterative solution methodology is proposed to generate alternative solutions. The alternative solutions are created for two scenarios: exact and fractional assignment of prisons in cities. Subsequently, the efficacy of these alternatives is assessed through the application of super-efficiency and cross-efficiency data envelopment analysis techniques. In each of these scenarios, the most efficient solution among alternatives is identified as the final solution. The empirical data utilized in the study is sourced from real-world cases in Turkey. Comparative analyses of the solutions under each scenario offer valuable insights into their respective advantages and disadvantages, thereby contributing to a comprehensive understanding of the problem.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102147"},"PeriodicalIF":6.2,"publicationDate":"2024-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134561","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":"Social network of peer-to-peer accommodations for a visual decision support system in tourism: The case of the Canary Islands","authors":"Víctor A. Vargas-Pérez ,&nbsp;Oscar Cordón ,&nbsp;Manuel Chica ,&nbsp;Juan M. Hernández","doi":"10.1016/j.seps.2024.102145","DOIUrl":"10.1016/j.seps.2024.102145","url":null,"abstract":"<div><div>The peer-to-peer accommodation market has experienced significant growth in recent years, leading to increased competition and offer heterogeneity. This scenario presents challenges for investors and stakeholders, required to value the importance of differentiation and accommodations’ typology to ensure favorable profits and social impact. In this work, we examine the touristic accommodation market in the Canary Islands using real data from Airbnb and applying a novel network-based visual methodology. The data analysis methodology involves the creation and visualization of a network that places accommodations based on their similarity. Using community detection algorithms, we identify accommodation typologies, perform a descriptive analysis of the resulting clusters, and evaluate economic and exogenous variables. Nine accommodation types are found having key differentiating characteristics such as guest capacity, number of properties owned by the host, and managerial aspects (for example, cancellation policy). Clusters with higher economic benefits (characterized by a large capacity) are placed on the periphery of the visual map in contrast to common accommodation types, located in the center; thus showing the importance of differentiation. The accommodations’ typologies are not specific to a particular island, but are homogeneously distributed in the Canaries archipelago. The results emphasize the managerial advantage of this decision support system for investors and tourist managers in making informed strategic decisions.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102145"},"PeriodicalIF":6.2,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134559","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":"Perceived bidirectional coordination on disaster-induced health-related efforts among decision-making units","authors":"Samantha Shane Evangelista ,&nbsp;Charldy Wenceslao ,&nbsp;Rica Villarosa ,&nbsp;Fatima Maturan ,&nbsp;Nadine May Atibing ,&nbsp;Lanndon Ocampo","doi":"10.1016/j.seps.2024.102148","DOIUrl":"10.1016/j.seps.2024.102148","url":null,"abstract":"<div><div>This study introduces a novel computational approach for inter-organization coordinated rescue and humanitarian efforts in mitigating disaster-related health impacts deployed in three interrelated phases. First, the fuzzy Stepwise Weight Assessment Ratio Analysis is used to generate importance weights of the criteria defining coordination among decision-making units. Second, treating the criteria as layers of information, the hesitant triangular fuzzy sets handle information uncertainty, and the aggregation of such information obtains the proposed “perceived coordination index”. As a novel concept in this work, the proposed index describes the decision-making unit's directional willingness to coordinate with other units. Lastly, to encourage a more beneficial “give-take” relationship arising from the proposed index, the sorting method based on Additive Ratio ASsessment facilitates the establishment of bidirectional relations that mutually inform decision-making units on which of the other units they should build coordination. An actual case study among 21 municipalities in South Cebu, Philippines, demonstrates the deployment of the proposed framework. The results highlighted the significance of distance, frequency of communication, and collaborative training in disaster response and revealed top municipalities that are highly willing to collaborate, forming extensive networks with neighboring counterparts and four clusters of municipalities with high coordination potential. Findings of the sorting process revealed that the City of Talisay and the Municipality of Ronda possess the greatest number of collaborative networks, positioning them as key hubs for cooperation. The former is a city belonging to a high economic class with a well-established disaster risk and management office, while the latter is situated in a location easily accessible and close to other municipalities. Other municipalities prioritize regional partnerships, emphasizing the importance of customized disaster management strategies. These findings emphasize the role of geographical proximity in disaster preparedness and collaborative response efforts. Sensitivity analysis to changes in criteria importance and comparative analysis with other sorting methods reveal the robustness of the proposed framework.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102148"},"PeriodicalIF":6.2,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134564","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":"How does townships’ economic landscape affect urban–rural income inequality in China?","authors":"Rongrong Dou ,&nbsp;Bingrui Zhu ,&nbsp;Wei Chen ,&nbsp;Qiao Li ,&nbsp;Sun Zhang ,&nbsp;Wenzhe Xu","doi":"10.1016/j.seps.2024.102150","DOIUrl":"10.1016/j.seps.2024.102150","url":null,"abstract":"<div><div>The grassroots economy has an important influence on in promoting the formation of regional economic ties to reduce inequality in urban–rural development, especially in developing countries. Township, as grassroots organizations, serve as conduits connecting rural and urban areas, receiving the economic radiation effects of urban development and influencing rural economies. It plays a significant role in promoting coordinated development between urban and rural regions. However, the impact pathways and effects of township economy on the coordinated development of urban and rural economy have not been effectively evaluated yet. We use data from 24,758 township units in 2017 to examine towns’ economic characteristics, selecting 312 prefecture-level cities to measure economic patterns and quantify TEL from absolute and relative perspectives to analyze the impact on urban–rural income gap. The results show that the impact of TEL on the urban–rural income gap is significantly heterogeneous in space. The higher level of urbanization and industrial development in townships, the more conducive it is to narrowing the urban-rural income gap. The urbanization of townships in the eastern region has a greater impact on the urban-rural income gap, while industrial development of townships in the western region has a greater impact on the urban-rural income gap. The high level multicenter TEL can alleviate the urban–rural income gap in places with large urban space, while a high level single-center TEL can narrow the urban–rural income gap in places with small urban space.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102150"},"PeriodicalIF":6.2,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134504","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":"Information acquisition, disclosure, and financing strategy in a capital-constrained supply chain","authors":"Lin Zhao","doi":"10.1016/j.seps.2024.102149","DOIUrl":"10.1016/j.seps.2024.102149","url":null,"abstract":"<div><div>We develop a supply chain including a manufacturer and a capital-constrained retailer to investigate the interaction between information acquisition strategy (acquisition/non-acquisition), information disclosure strategy (voluntary disclosure/mandatory disclosure), and financing strategy (trade credit financing/external financing). First, we study the optimal information acquisition strategy, and find that the capital-constrained retailer would acquire more accurate demand information when the information acquisition cost is below the threshold value, which is different under different financing options and information disclosure ways. Next, we study the optimal information disclosure strategy, and find that the capital-constrained retailer would disclose the acquired information when the market potential is below a threshold value. The capital-constrained retailer is more willing to acquire information under voluntary disclosure, and voluntary disclosure is profitable when the information acquisition cost is below the threshold value. Then, we study information acquisition incentive under different financing options, and find that the capital-constrained retailer under external financing is more likely to acquire more accurate demand information. Finally, we study the optimal financing strategy. We find that with information acquisition, trade credit financing is optimal if and only if the specified condition is satisfied under different information disclosure ways; while with information non-acquisition, trade credit financing is always optimal. We also employ a numerical method to validate the main results. These findings help the capital-constrained supply chain facing the uncertain demand market to improve operational efficiency.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102149"},"PeriodicalIF":6.2,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134562","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":"Data depth for mixed-type data through MDS. An application to biological age imputation","authors":"Ignacio Cascos,&nbsp;Aurea Grané,&nbsp;Jingye Qian","doi":"10.1016/j.seps.2024.102140","DOIUrl":"10.1016/j.seps.2024.102140","url":null,"abstract":"<div><div>For a mixed-type dataset, we propose a new procedure to assess the quality of an observation as a central tendency. Next, we apply this technique to valuate the functional condition of a human organism in terms of its biological age, which is based on biomarkers, medical conditions, life habits, and sociodemographic variables. These records are of mixed type since they are made up by numerical and categorical variables. In order to evaluate the centrality of an observation in a mixed-type dataset, we obtain a Multidimensional Scaling representation and use some classical notion of multivariate data depth in an appropriate space. The biological age of an individual is finally assessed in terms of the age that would make it as deep as possible with respect to a sample of individuals of a similar age subject to it retaining all other features unchanged.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"98 ","pages":"Article 102140"},"PeriodicalIF":6.2,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134563","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}