Socio-economic Planning Sciences最新文献

{"title":"A hybrid approach for the dynamic routing of police patrols","authors":"Moacir Almeida Simões Júnior,&nbsp;Denis Borenstein","doi":"10.1016/j.seps.2026.102566","DOIUrl":"10.1016/j.seps.2026.102566","url":null,"abstract":"<div><div>Efficient allocation of police resources is critical to public safety, particularly in urban environments with limited resources and high crime rates. This study proposes a dynamic approach to police patrolling that integrates predictive analytics, Ant Colony Optimization (ACO), and discrete-event simulation to optimize hotspot coverage and incident response times. The method combines historical Calls for service data and urban structures to predict high-risk areas (hotspots) and guide patrol deployment. The model dynamically adjusts patrol routes based on real-time hotspot conditions and incident priorities, employing Bayesian decision-making and a dynamic pheromone mechanism. A case study in Porto Alegre, Brazil, demonstrates the effectiveness of the proposed method in reducing idle time at crime hotspots and improving incident response times across priority levels. The results highlight the potential of data-driven policing to enhance operational efficiency and balance resource allocation and public safety.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102566"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634952","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":"Nonlinear effects of the digital economy on urban-rural factor mobility: A hybrid econometric-machine learning approach","authors":"Hongbo Li,&nbsp;Zijun Liu","doi":"10.1016/j.seps.2026.102551","DOIUrl":"10.1016/j.seps.2026.102551","url":null,"abstract":"<div><div>Unprecedented digital economy (DE) penetration disrupts the traditional urban-rural dichotomy, yet the complex nonlinear interactions driving multidimensional urban-rural factor mobility (URFM) remain largely opaque in regional science. While foundational literature extensively explores the interplay of population flows (PF), land flows (LF), and capital flows (CF), the nonlinear mechanisms governing their synergistic evolution within DE-driven spatial restructuring demand deeper exploration. This study introduces the space of flows theory to unpack these synergistic dynamics, conceptualizing DE as the concrete operational form of the space of flows. By integrating econometrics and interpretable machine learning, we examine panel data from Zhejiang, Hubei, and Sichuan spanning 2013-2022, representing distinct developmental stages. Findings reveal that DE reshapes URFM through profound nonlinearity, exhibiting heterogeneous threshold effects across flow types. PF displays diminishing marginal returns as digital networks initially accelerate migration but subsequently enhance rural retention capacity. LF transitions from early land-saving optimization to later demand-reshaping spatial expansion. CF demonstrates exponential growth, primarily driven by expanding digital financial networks. Beyond these nonlinear effects, we identify region-specific dynamic transmission chains elucidating internal factor linkages. In advanced markets (Zhejiang), DE and capital form a bidirectional amplification loop, deepening localized resource accumulation. In transitional economies (Hubei), capital accumulation precurses subsequent digital and land reconfiguration, highlighting strong capital-driven features. Conversely, in geographically constrained regions (Sichuan), DE acts as a pioneering force, bypassing spatial friction to trigger subsequent factor adjustments. These heterogeneous pathways demonstrate that the space of flows, through DE as its operational architecture, fundamentally alters the factor allocation logic within both urban and rural spaces. These findings advance spatial economics by decoding digital-spatial restructuring, illustrating how regional endowments dictate multidimensional URFM mechanisms.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102551"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634843","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":"Unveiling the role of eco-certifications as spatial drivers of green tourism in Italian provinces","authors":"Riccardo Gianluigi Serio,&nbsp;Maria Michela Dickson,&nbsp;Diego Giuliani,&nbsp;Andrea Mazzitelli,&nbsp;Giuseppe Espa","doi":"10.1016/j.seps.2026.102563","DOIUrl":"10.1016/j.seps.2026.102563","url":null,"abstract":"<div><div>The measurement of sustainability in tourism remains a critical challenge for socio-economic planning, as many existing indicators describe environmental conditions or pressures rather than the concrete actions undertaken by destinations and tourism actors. This study develops a spatially explicit composite indicator of certification-based sustainability effort for Italian provinces. The indicator is built from eco-certifications and environmental management schemes adopted by public institutions, accommodation providers, tourism-related services, and environmental management actors. Rather than providing an absolute ranking of destination sustainability, the indicator captures the intensity and local coherence of certified environmental effort in tourism. Methodologically, the indicator is constructed through Geographically Weighted Principal Component Analysis (GWPCA), which allows the relevance of each certification to vary across territories according to local covariance structures. The resulting indicator is then analyzed through a Spatial Durbin Error Model (SDEM), to examine how certification-based sustainability effort is associated with local tourism, socio-economic, and environmental characteristics, as well as with neighboring territorial contexts. The empirical analysis highlights the spatially differentiated and interdependent nature of green tourism effort, showing that sustainability-oriented certification patterns are shaped by both local conditions and broader territorial linkages. The study contributes to the literature by combining an effort-oriented interpretation of tourism sustainability with a spatially sensitive framework for indicator construction and spatial modeling.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102563"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634957","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":"Efficiency evaluation of fishing entities and sustainable fishery policies: Evidence from Japan","authors":"Hisashi Ito,&nbsp;Taiga Shimotsuura,&nbsp;Tomoaki Nakaishi,&nbsp;Shigemi Kagawa","doi":"10.1016/j.seps.2026.102576","DOIUrl":"10.1016/j.seps.2026.102576","url":null,"abstract":"<div><div>This study evaluates efficiency and its determinants in Japan's coastal fisheries using a Slack-Based Measure (SBM) Data Envelopment Analysis (DEA) and a meta-frontier DEA framework. We analyze 250 fishing entities—132 active, 46 passive, and 72 hook-and-line fisheries—across five coastal regions. The SBM results reveal pronounced regional heterogeneity: the average inefficiency in active fisheries ranges from 0.35 in the Northern Sea of Japan Coast to 0.50 in the Seto Inland Sea. The input decomposition shows that fuel costs are the largest contributors to inefficiency (0.67), followed by gross vessel tonnage (0.46), crew size (0.42), and fishing days (0.35). Meta-frontier analysis indicates that inter-regional inefficiency dominates on the Northern Pacific Coast, Southern Sea of Japan Coast, and Seto Inland Sea, whereas intra-regional inefficiency is predominant on the Southern Pacific Coast. These results highlight the need for quantitatively targeted regional- and fishery-specific policy interventions.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102576"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736199","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":"Pharmacy on-duty planning in urban environments: A gradual covering approach with workload equity","authors":"Elifcan Yaşa,&nbsp;İsmail Kayahan,&nbsp;Seda Baş Güre","doi":"10.1016/j.seps.2026.102567","DOIUrl":"10.1016/j.seps.2026.102567","url":null,"abstract":"<div><div>This study addresses the pharmacy on-duty problem in areas with high demand density and diverse pharmacy distribution, utilizing a case study conducted in Istanbul’s Kadıköy district. The primary objective is to identify the optimal groups of pharmacies that maximize coverage while ensuring balanced workload distribution among the on-duty pharmacy groups with a gradual covering workload equity mathematical model. The proposed model is validated through extensive tests on large-scale random datasets involving both homogeneous and heterogeneous demand and pharmacy spatial distributions where performance metrics are analyzed across various instances. To provide a comprehensive evaluation, the current pharmacy on-duty system in Kadıköy is analyzed and optimized, serving as a baseline for performance improvements with an improvement of coverage efficiency by over 10%. We combine spatial decomposition with hierarchical clustering to aggregate demand to overcome the computational challenges of high-density areas like Kadıköy. The results show that achievable coverage is strongly influenced by the spatial distribution of pharmacies and demand points; highly crowded areas tend to create workload imbalances between on-duty groups. Tightening workload equity constraints reduces coverage-variance between on-duty groups but decreases overall coverage in heterogeneous areas. Conversely, relaxing the workload equity constraint has no statistically significant impact on proximity between on-duty pharmacies within groups on both homogeneous and heterogeneous areas. Therefore, the proposed framework allows planners to tune the balance between maximizing coverage and workload equity. Overall, the proposed approach delivers significant improvements in coverage and workload balance, ensuring both demand point accessibility and pharmacy workload equity.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102567"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736189","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":"Coupling coordination of digital economy vitality and real economy green development efficiency: Spatiotemporal dynamic evolution and nonlinear driving mechanisms","authors":"Jialiang Xie,&nbsp;Zhicai Wu","doi":"10.1016/j.seps.2026.102575","DOIUrl":"10.1016/j.seps.2026.102575","url":null,"abstract":"<div><div>Despite widespread scrutiny of the environmental externalities stemming from digital-real integration—a dominant trend in today's global economy—the critical questions of how to evaluate and foster its sustainable development remain largely overlooked in the literature. Addressing this gap is imperative for the attainment of the sustainable development goals (SDGs). In this research, a pioneering theoretical framework for understanding the coupling coordination of digital economy vitality and real economy green development efficiency (CCDR) is constructed. Methodologically, we begin by applying exploratory spatiotemporal data analysis to examine the spatiotemporal dynamic evolution of the CCDR in the Yangtze River Delta urban agglomeration. We then innovatively integrate the TOE framework with an XGBoost-SHAP model to investigate nonlinear driving mechanisms. The findings indicate that (1) CCDR levels demonstrate an upward trajectory, forming a gradient hierarchical pattern characterized by “core area &gt; central area &gt; peripheral area.” (2) CCDR exhibits notable path dependency, yet its dynamics intensify over time, with this strengthening trend being most pronounced in core regions. (3) Drivers at the technological and organizational levels have a significantly stronger influence than environmental factors do; industrial structure emerges as the pivotal determinant and presents complex nonlinear interactions with artificial intelligence, green technology, and human capital. This study offers policymakers and businesses fresh theoretical and empirical insights to drive sustainable digital-real economy integration and the achievement of the SDGs.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102575"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634956","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 social distancing policy incorporating compliance of individuals","authors":"Hyelim Shin,&nbsp;Taesik Lee","doi":"10.1016/j.seps.2026.102577","DOIUrl":"10.1016/j.seps.2026.102577","url":null,"abstract":"<div><div>We develop a novel optimization model for designing optimal social distancing policies by explicitly incorporating individuals’ compliance behavior, a factor often neglected in existing studies. Building on prior work that characterizes equilibrium compliance in a social distancing game, we integrate such equilibrium behavior into a policy optimization framework. The proposed framework captures individuals’ decisions on social activity levels as strategic responses to social distancing policies within a game-theoretic setting. However, directly embedding equilibrium compliance as a constraint renders the resulting optimization problem highly intractable due to its implicit and nonlinear structure. To address the computational challenges, we exploit structural properties of the equilibrium conditions and reformulate the problem as a tractable optimal control model. This enables the computation of optimal policy trajectories while endogenously accounting for individuals’ behavioral responses. Through numerical experiments, we examine how optimal policies vary with disease characteristics and behavioral factors. Our results reveal that the effectiveness of social distancing policies depends critically on perceived infection risk, sensitivity to individual utility to social activity, and the transmission rate of the epidemic. Notably, we find that it may be optimal to maintain or even strengthen social distancing measures even as the epidemic subsides. These findings highlight the importance of incorporating behavioral responses into policy design and provide actionable insights for effective epidemic control.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102577"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736200","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":"Planning for equitable public health: A framework for interpretable causal policy learning","authors":"Kushal Anjaria","doi":"10.1016/j.seps.2026.102558","DOIUrl":"10.1016/j.seps.2026.102558","url":null,"abstract":"<div><div>Designing public health interventions that are both effective and equitable is a central challenge in socio-economic planning, particularly when observational data are affected by hidden socio-economic biases. This paper proposes a quantitative framework for evidence-based public-health policy planning under unmeasured confounding. Rather than focusing only on population-average outcomes, the framework adopts a quantile-oriented objective so that policy learning can emphasize selected segments of the health-outcome distribution, including vulnerable or disadvantaged groups. The proposed approach combines instrumental-variable-based structural quantile identification, minimax estimation, conservative policy learning, and surrogate-based local explanation. This allows policy recommendations to be estimated under maintained causal assumptions while also making the reasoning behind individual recommendations more transparent. We illustrate the framework using the Behavioral Risk Factor Surveillance System (BRFSS) dataset to derive educational-support policy recommendations linked to health outcomes. The empirical analysis highlights a key planning trade-off: linear models provide simpler and more interpretable policy boundaries, whereas neural-network specifications can capture more flexible and heterogeneous recommendation patterns. The explanation component further shows how observed demographic and socio-economic covariates contribute to individual policy recommendations through an interpretable surrogate model. Overall, the study provides a causally informed, distribution-sensitive, and explainable framework for supporting equitable public-health policy design using observational data.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102558"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634842","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":"Diverse leadership, sustainable futures: unveiling the role of gender diversity in enhancing financial performance and achieving SDGs in Bangladesh's banking sector","authors":"Sayna Islam Diba,&nbsp;Anup Karmakar,&nbsp;Mohammad Abu Shahriar Hossain,&nbsp;Md Kamruzzaman","doi":"10.1016/j.seps.2026.102506","DOIUrl":"10.1016/j.seps.2026.102506","url":null,"abstract":"<div><div>This study examines the influence of corporate board gender diversity on the financial performance and financial sustainability of banks in Bangladesh within the context of the United Nations Sustainable Development Goals (SDGs). Using panel data from 30 banks listed on the Dhaka Stock Exchange (DSE) over the period 2016–2023, the study demonstrates that greater female representation on corporate boards supports SDG 5 (Gender Equality) and SDG 8 (Decent Work and Economic Growth), while stronger governance practices contribute to SDG 16 (Peace, Justice, and Strong Institutions), highlighting the importance of inclusive leadership in advancing sustainable development. To address potential endogeneity, the Two-Step System Generalized Method of Moments (System GMM) estimator is employed. The results reveal that board gender diversity is positively associated with both financial performance and financial sustainability. Specifically, greater female representation as measured by the female director dummy, the proportion of female directors and the Blau Gender Index is positively associated with higher market valuation (Tobin's Q), improved profitability (Return on Assets and Return on Equity) and stronger financial sustainability measured by Operational Self-Sufficiency (OSS) and Financial Self-Sufficiency (FSS). A one-percentage point increase in female board representation is associated with a 3.05% increase in OSS, indicating greater operational stability and long term financial resilience. Likewise, a more balanced board composition captured by the Blau Gender Index is associated with lower governance risk and stronger organizational resilience. Moreover, greater gender diversity is associated with increases of 3.56% and 2.75% in Tobin's Q and Return on Equity respectively, while the presence of female directors measured by the female director dummy exhibits a positive and statistically significant relationship with financial sustainability, Return on Assets, Return on Equity and Tobin's Q. The robustness of these findings is confirmed using the Two-Step Difference GMM estimator which produces qualitatively consistent results. Overall, the findings highlight the strategic importance of gender-diverse boards in strengthening corporate governance, enhancing financial performance, promoting long term financial sustainability and reducing financial vulnerability. These results provide important implications for policymakers, regulators and corporate decision makers by demonstrating that institutional reforms promoting gender inclusive governance can foster more resilient banking systems and support sustainable economic development in emerging economies such as Bangladesh.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102506"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148634951","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":"Flowers and flames. The determinants of biorefineries location in the EU circular economy: a core–periphery perspective","authors":"Giuseppe Celi,&nbsp;Vincenzo D'Atteo,&nbsp;Edgardo Sica","doi":"10.1016/j.seps.2026.102578","DOIUrl":"10.1016/j.seps.2026.102578","url":null,"abstract":"<div><div>This study explores the determinants of the Circular Bioeconomy (CBE) within a core–periphery framework, with a particular focus on the factors influencing the localisation of biorefineries across European regions. Drawing on a panel data approach at the NUTS-2 level, the research investigates the socio-economic, techno-territorial, and resource-endowment determinants shaping the spatial distribution and uptake of biorefineries, with particular attention to facilities utilizing secondary biomass and cleaner conversion technologies. The findings reveal marked regional heterogeneity: core regions benefit from well-developed technological infrastructures and strong innovation capacity, whereas semi-peripheral and peripheral regions are constrained by limited resources and technical expertise. The analysis highlights the importance of tailored, place-based policy interventions to address territorial disparities and support equitable CBE implementation. By elucidating these spatial dynamics, the study contributes to the growing literature on regional sustainability transitions and offers actionable insights for EU policymakers seeking to mitigate economic and spatial inequalities while fostering circularity.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"106 ","pages":"Article 102578"},"PeriodicalIF":5.2,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148736198","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}