Socio-economic Planning Sciences最新文献_第10页

Efficiency evaluation of the forest sector in China: A meta-frontier DEA approach 中国森林部门效率评价：一种元前沿DEA方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-08-14 DOI: 10.1016/j.seps.2025.102317

Dawei Wang , Feng Yang , Xiaoqi Zhang , Yu Sun

Evaluating forest resource performance supports sustainable development goals. Considering regional heterogeneity, this study develops an improved meta-frontier SBM model to assess forest performance. The improved meta-frontier SBM model effectively handles regional heterogeneity caused by differences in forest resource endowments and overcomes both the issue of infeasible targets and the problem of unreasonable technology gap ratio (TGR) values in non-radial meta-frontier approach, thus providing meaningful information (such as meta-efficiency, group efficiency, and TGR) to guide the development of effective policies to improve performance. This study's empirical results indicate that forest performance was not equalized among the provinces over the study period. Specifically, with some provinces, such as Chongqing consistently achieved the maximum group efficiency score of 1.000 and some consistently performing worse. In the two areas analyzed, non-forest rich areas demonstrated rapid technological improvement, with the TGR increasing from 0.639 in 2016 to 0.883 in 2020. Additionally, we found that the traditional TGR model underestimates the value of the technology gap in provinces compared to the proposed model. Finally, improvement strategies are proposed for inefficient provinces to enhance management efficiency and reduce regional technology gaps.

评价森林资源绩效有助于实现可持续发展目标。考虑区域异质性，本研究建立了一种改进的元前沿SBM模型来评估森林绩效。改进后的元前沿SBM模型有效地处理了森林资源禀赋差异引起的区域异质性，克服了非径向元前沿方法中目标不可行和技术差距比（TGR）值不合理的问题，为制定有效的绩效政策提供了有意义的信息（如元效率、群体效率和TGR）。本研究的实证结果表明，在研究期间，森林绩效在各省之间并不均衡。具体来说，一些省份，如重庆，一直达到最高的1000分，而一些省份一直表现较差。两区非森林富庶地区技术进步较快，TGR由2016年的0.639上升至2020年的0.883。此外，我们发现传统的TGR模型与本文提出的模型相比低估了各省技术差距的价值。最后，提出了效率低下省份的改进策略，以提高管理效率，缩小区域技术差距。

{"title":"Efficiency evaluation of the forest sector in China: A meta-frontier DEA approach","authors":"Dawei Wang , Feng Yang , Xiaoqi Zhang , Yu Sun","doi":"10.1016/j.seps.2025.102317","DOIUrl":"10.1016/j.seps.2025.102317","url":null,"abstract":"<div><div>Evaluating forest resource performance supports sustainable development goals. Considering regional heterogeneity, this study develops an improved meta-frontier SBM model to assess forest performance. The improved meta-frontier SBM model effectively handles regional heterogeneity caused by differences in forest resource endowments and overcomes both the issue of infeasible targets and the problem of unreasonable technology gap ratio (TGR) values in non-radial meta-frontier approach, thus providing meaningful information (such as meta-efficiency, group efficiency, and TGR) to guide the development of effective policies to improve performance. This study's empirical results indicate that forest performance was not equalized among the provinces over the study period. Specifically, with some provinces, such as Chongqing consistently achieved the maximum group efficiency score of 1.000 and some consistently performing worse. In the two areas analyzed, non-forest rich areas demonstrated rapid technological improvement, with the TGR increasing from 0.639 in 2016 to 0.883 in 2020. Additionally, we found that the traditional TGR model underestimates the value of the technology gap in provinces compared to the proposed model. Finally, improvement strategies are proposed for inefficient provinces to enhance management efficiency and reduce regional technology gaps.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102317"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144860216","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}

引用次数: 0

Multi-objective optimization for risk mitigation of medical waste disposal reverse logistics network 医疗废物处置逆向物流网络风险缓解的多目标优化

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-08-22 DOI: 10.1016/j.seps.2025.102322

Yi Shi, Xingli Wu

Given the serious risks medical waste poses to the environment and public health, this paper proposes a multi-objective optimization model to address the location-allocation problem within its reverse logistics network. We design an efficient reverse logistics network for medical waste disposal, featuring treatment centers equipped with incineration-melting technology, and develop a multi-objective optimization model that considers infectious risk, environmental risk, social risk, and total costs to solve the location-allocation problem within the proposed network. To support risk mitigation and cost reduction for the decision maker without prior preference information, we use Monte Carlo simulation to examine the impact of weighting factors on the model's outcomes. The proposed methodology is then applied to a real-world case study in Chongqing, China, to evaluate its applicability and effectiveness. The simulation results demonstrate that the centers in the proposed network are effectively located and medical waste is appropriately allocated across various scenarios, achieving minimum values of 3120.5 for infectious risk, 8.6 for environmental risk, 198.5 for social risk, and 210,617.9 CNY for total costs. Furthermore, the proposed model strikes a balance between risk mitigation and cost reduction, minimizing medical waste management risks without incurring excessive costs and achieving cost savings without compromising risk control efforts.

鉴于医疗废物对环境和公众健康的严重危害，本文提出了一个多目标优化模型来解决其逆向物流网络的区位配置问题。我们设计了一个高效的医疗废物逆向物流网络，以配备焚烧-熔化技术的处理中心为特征，并建立了一个考虑传染风险、环境风险、社会风险和总成本的多目标优化模型，以解决所提出网络中的位置分配问题。为了支持决策者在没有先验偏好信息的情况下降低风险和成本，我们使用蒙特卡罗模拟来检查权重因素对模型结果的影响。然后将提出的方法应用于中国重庆的实际案例研究，以评估其适用性和有效性。仿真结果表明，所提出的网络中的医疗中心得到了有效的定位，医疗废物在不同场景下得到了合理的分配，实现了传染风险最小值320.5元，环境风险最小值8.6元，社会风险最小值198.5元，总成本为210,617.9元。此外，拟议的模式在减轻风险和降低成本之间取得平衡，在不产生过多成本的情况下尽量减少医疗废物管理风险，在不损害风险控制努力的情况下实现成本节约。

{"title":"Multi-objective optimization for risk mitigation of medical waste disposal reverse logistics network","authors":"Yi Shi, Xingli Wu","doi":"10.1016/j.seps.2025.102322","DOIUrl":"10.1016/j.seps.2025.102322","url":null,"abstract":"<div><div>Given the serious risks medical waste poses to the environment and public health, this paper proposes a multi-objective optimization model to address the location-allocation problem within its reverse logistics network. We design an efficient reverse logistics network for medical waste disposal, featuring treatment centers equipped with incineration-melting technology, and develop a multi-objective optimization model that considers infectious risk, environmental risk, social risk, and total costs to solve the location-allocation problem within the proposed network. To support risk mitigation and cost reduction for the decision maker without prior preference information, we use Monte Carlo simulation to examine the impact of weighting factors on the model's outcomes. The proposed methodology is then applied to a real-world case study in Chongqing, China, to evaluate its applicability and effectiveness. The simulation results demonstrate that the centers in the proposed network are effectively located and medical waste is appropriately allocated across various scenarios, achieving minimum values of 3120.5 for infectious risk, 8.6 for environmental risk, 198.5 for social risk, and 210,617.9 CNY for total costs. Furthermore, the proposed model strikes a balance between risk mitigation and cost reduction, minimizing medical waste management risks without incurring excessive costs and achieving cost savings without compromising risk control efforts.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102322"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932622","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}

引用次数: 0

A street corner-level methodology to analyze the influence of points of interest on urban crime 一个街角级别的方法来分析兴趣点对城市犯罪的影响

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1016/j.seps.2025.102297

Débora Barbosa Leite Silva , Thales Vieira , Evandro de Barros Costa , Afonso Paiva , Luis Gustavo Nonato

As cities have evolved, so too have crimes, becoming increasingly sophisticated, violent, and intense. This evolution has pushed security models to their breaking point, rendering many traditional strategies obsolete in the face of these new challenges. Consequently, society, especially law enforcement agencies, needs more sophisticated tools to assist them in decision-making. The growing digitization of data over the last decade has enabled the large-scale and highly agile collection of urban data which can be exploited to conduct crime analysis tasks and in particular to identify relevant crime patterns. In this study, we present a computational methodology to investigate the relationship between crime occurrences and the proximity to points of interest (POIs) within a city. In particular, this methodology can perform a segmented analysis, according to socioeconomic patterns of different city regions, using clustering algorithms. Through case studies in the Brazilian cities of Maceió and Arapiraca, we validate the proposed methodology and demonstrate a global correlation between POIs and crime occurrences in both cities. Furthermore, this correlation varies significantly when analyzing street corners segmented by socioeconomic patterns and across both cities. These findings validate the proposed methodology and demonstrate that this approach provides a robust framework for strategic decision-making, enabling law enforcement agencies to allocate resources more effectively and enhance overall public safety.

随着城市的发展，犯罪也在发展，变得越来越复杂、暴力和激烈。这种演变将安全模型推向了临界点，使许多传统策略在面对这些新挑战时变得过时。因此，社会，特别是执法机构，需要更先进的工具来协助他们作出决策。在过去十年中，数据的日益数字化使大规模和高度敏捷的城市数据收集成为可能，这些数据可用于进行犯罪分析任务，特别是识别相关的犯罪模式。在这项研究中，我们提出了一种计算方法来调查城市中犯罪事件与兴趣点（poi）的接近程度之间的关系。特别是，该方法可以根据不同城市区域的社会经济模式，使用聚类算法进行分段分析。通过对巴西城市Maceió和Arapiraca的案例研究，我们验证了所提出的方法，并证明了两个城市的poi与犯罪事件之间的全球相关性。此外，在分析按社会经济模式和两个城市划分的街角时，这种相关性差异很大。这些发现证实了所建议的方法，并表明这种方法为战略决策提供了一个强有力的框架，使执法机构能够更有效地分配资源，并加强整体公共安全。

{"title":"A street corner-level methodology to analyze the influence of points of interest on urban crime","authors":"Débora Barbosa Leite Silva , Thales Vieira , Evandro de Barros Costa , Afonso Paiva , Luis Gustavo Nonato","doi":"10.1016/j.seps.2025.102297","DOIUrl":"10.1016/j.seps.2025.102297","url":null,"abstract":"<div><div>As cities have evolved, so too have crimes, becoming increasingly sophisticated, violent, and intense. This evolution has pushed security models to their breaking point, rendering many traditional strategies obsolete in the face of these new challenges. Consequently, society, especially law enforcement agencies, needs more sophisticated tools to assist them in decision-making. The growing digitization of data over the last decade has enabled the large-scale and highly agile collection of urban data which can be exploited to conduct crime analysis tasks and in particular to identify relevant crime patterns. In this study, we present a computational methodology to investigate the relationship between crime occurrences and the proximity to points of interest (POIs) within a city. In particular, this methodology can perform a segmented analysis, according to socioeconomic patterns of different city regions, using clustering algorithms. Through case studies in the Brazilian cities of Maceió and Arapiraca, we validate the proposed methodology and demonstrate a global correlation between POIs and crime occurrences in both cities. Furthermore, this correlation varies significantly when analyzing street corners segmented by socioeconomic patterns and across both cities. These findings validate the proposed methodology and demonstrate that this approach provides a robust framework for strategic decision-making, enabling law enforcement agencies to allocate resources more effectively and enhance overall public safety.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102297"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831041","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}

引用次数: 0

Assessing the resilience of water and wastewater utilities: A multi-criteria approach for Chile 评估水和污水处理设施的复原力：智利的多标准方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-09-29 DOI: 10.1016/j.seps.2025.102340

Alexandros Maziotis , Maria Molinos-Senante

Ensuring the operational resilience of water and wastewater utilities (WWUs) is critical for safeguarding public health, environmental sustainability, and service continuity in the face of natural and human-induced hazards. This study develops an innovative Operational Resilience Index (ORI) to comprehensively assess WWU operational resilience from a regulatory perspective. The ORI integrates multiple resilience indicators across three key dimensions—service performance, asset management, and water security—using a Multi-Criteria Decision Analysis (MCDA) approach, incorporating expert and stakeholder preferences through the Best-Worst Method (BWM). The methodology is applied to 29 WWUs in Chile, a country with high exposure to natural disasters. The weights assigned to resilience indicators indicate a preference for short-term service performance over long-term infrastructure resilience. The estimated ORI values range from 0.524 to 0.808, with the maximum achievable score being 1.000. It was evidenced that asset management represents the most critical area for improvement, indicating a need for regulatory incentives to promote infrastructure renewal. While no statistically significant differences in ORI scores were found based on WWU ownership structure (public, private, or concessioned), concessioned WWUs demonstrated statistically superior performance in asset management (p-value = 0.012), underscoring the need for targeted regulatory measures to strengthen this dimension in other ownership models The ORI provides a systematic benchmarking tool for regulators, enabling resilience-based performance assessments and targeted policy interventions.

在面对自然和人为危害时，确保水和废水公用事业的运行弹性对于保障公众健康、环境可持续性和服务连续性至关重要。本研究从监管的角度构建了一个创新的运营弹性指数（ORI），以全面评估WWU的运营弹性。ORI采用多标准决策分析（MCDA）方法整合了服务绩效、资产管理和水安全三个关键维度的多个弹性指标，并通过最佳-最差方法（BWM）结合了专家和利益相关者的偏好。该方法应用于智利的29个世界水单位，智利是一个自然灾害频发的国家。分配给弹性指标的权重表明，短期服务性能优于长期基础设施弹性。估计的ORI值范围为0.524 ~ 0.808，最大可实现分数为1.000。有证据表明，资产管理是最需要改进的领域，这表明需要采取监管激励措施来促进基础设施更新。虽然基于WWU所有权结构（公共、私人或特许）的ORI得分在统计上没有显著差异，但特许WWU在资产管理方面表现出统计上的优势（p值= 0.012），强调需要有针对性的监管措施来加强其他所有权模型中的这一维度。ORI为监管机构提供了系统的基准工具。实现基于弹性的绩效评估和有针对性的政策干预。

{"title":"Assessing the resilience of water and wastewater utilities: A multi-criteria approach for Chile","authors":"Alexandros Maziotis , Maria Molinos-Senante","doi":"10.1016/j.seps.2025.102340","DOIUrl":"10.1016/j.seps.2025.102340","url":null,"abstract":"<div><div>Ensuring the operational resilience of water and wastewater utilities (WWUs) is critical for safeguarding public health, environmental sustainability, and service continuity in the face of natural and human-induced hazards. This study develops an innovative Operational Resilience Index (ORI) to comprehensively assess WWU operational resilience from a regulatory perspective. The ORI integrates multiple resilience indicators across three key dimensions—service performance, asset management, and water security—using a Multi-Criteria Decision Analysis (MCDA) approach, incorporating expert and stakeholder preferences through the Best-Worst Method (BWM). The methodology is applied to 29 WWUs in Chile, a country with high exposure to natural disasters. The weights assigned to resilience indicators indicate a preference for short-term service performance over long-term infrastructure resilience. The estimated ORI values range from 0.524 to 0.808, with the maximum achievable score being 1.000. It was evidenced that asset management represents the most critical area for improvement, indicating a need for regulatory incentives to promote infrastructure renewal. While no statistically significant differences in ORI scores were found based on WWU ownership structure (public, private, or concessioned), concessioned WWUs demonstrated statistically superior performance in asset management (<em>p-</em>value = 0.012), underscoring the need for targeted regulatory measures to strengthen this dimension in other ownership models The ORI provides a systematic benchmarking tool for regulators, enabling resilience-based performance assessments and targeted policy interventions.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102340"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218981","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}

引用次数: 0

Knowledge and technology transfer in German universities: An exploratory study leveraging information from university websites 德国大学的知识和技术转移：利用大学网站信息的探索性研究

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-09-26 DOI: 10.1016/j.seps.2025.102333

Torben Schubert , Denilton Darold , Henning Kroll

Despite the multidimensionality of knowledge and technology transfer (KTT), existing quantitative evaluations predominantly focus on a limited range of channels, often resulting from the availability of data rather than theoretical considerations. To address this gap, we leverage unstructured data from university websites to develop indicators that provide a comprehensive view of universities’ KTT activities. Applying large-language-transformers to scraped websites of German universities, we identify five distinct KTT dimensions: engagement in collaborative research consortia with industry, technical consulting activities, start-up activities, the development of regional tech transfer hubs, as well as technology transfer offices. Based on exploratory regression analyses, we find that the intensity of the type of KTT activities varies with the regional environment as well as university characteristics. Moreover, our regressions unveil a synergistic relationship between KTT and basic research, where this finding again seems to depend strongly on the type of KTT activity.

尽管知识和技术转让具有多方面，但现有的定量评价主要集中在有限范围的渠道上，往往是由于数据的可得性，而不是理论上的考虑。为了解决这一差距，我们利用大学网站上的非结构化数据来开发指标，提供大学KTT活动的全面视图。将大型语言转换器应用于德国大学的网站，我们确定了五个不同的KTT维度：与行业合作研究联盟的参与，技术咨询活动，启动活动，区域技术转移中心的发展，以及技术转移办公室。基于探索性回归分析，我们发现KTT活动类型的强度随区域环境和大学特点而变化。此外，我们的回归揭示了KTT和基础研究之间的协同关系，这一发现似乎再次强烈依赖于KTT活动的类型。

{"title":"Knowledge and technology transfer in German universities: An exploratory study leveraging information from university websites","authors":"Torben Schubert , Denilton Darold , Henning Kroll","doi":"10.1016/j.seps.2025.102333","DOIUrl":"10.1016/j.seps.2025.102333","url":null,"abstract":"<div><div>Despite the multidimensionality of knowledge and technology transfer (KTT), existing quantitative evaluations predominantly focus on a limited range of channels, often resulting from the availability of data rather than theoretical considerations. To address this gap, we leverage unstructured data from university websites to develop indicators that provide a comprehensive view of universities’ KTT activities. Applying large-language-transformers to scraped websites of German universities, we identify five distinct KTT dimensions: engagement in collaborative research consortia with industry, technical consulting activities, start-up activities, the development of regional tech transfer hubs, as well as technology transfer offices. Based on exploratory regression analyses, we find that the intensity of the type of KTT activities varies with the regional environment as well as university characteristics. Moreover, our regressions unveil a synergistic relationship between KTT and basic research, where this finding again seems to depend strongly on the type of KTT activity.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102333"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218980","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}

引用次数: 0

Trickle-down or siphon: The spillover effects of the digital economy on green innovation from the perspective of the circular economy 涓滴或虹吸：循环经济视角下数字经济对绿色创新的溢出效应

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-09-16 DOI: 10.1016/j.seps.2025.102328

Yi Qiu , Cong Gao , Na Song

In addition to the transformations driven by digitalization and sustainability, the digital economy has opened new paths and revitalized the advancement of green innovation. As a key driving force of the circular economy system, green innovation can effectively promote sustainable development and high-quality economic growth. This study employs a panel dataset encompassing 108 cities at and above the prefectural-level within the Yangtze River Economic Belt from 2011–2021 to investigate the spillover impacts and transmission mechanisms of the digital economy on green innovation through the Spatial Durbin Model through empirical observations. The findings reveal an uneven distribution of the digital economy and green innovation within the Yangtze River Economic Belt, with the downstream area exhibiting more significant levels than the middle and upper sections. While the digital economy enhances green innovation in local cities, it also has a trickle-down effect on neighboring cities, which remains robust through various tests. The spillover effects of the digital economy on green innovation are pronounced in downstream regions, which are cities with high concentrations of human capital and green innovation. Mechanistic testing shows that the digital economy advances local green innovation levels by facilitating the flow of R&D staff, R&D capital, and industrial structure upgrading. The positive transmission effect in neighboring areas is driven primarily by the movement of R&D staff. This study offers valuable empirical insights for guiding green transformation efforts and promoting coordinated regional development.

除了数字化和可持续发展推动的变革外，数字经济还开辟了新的道路，为绿色创新的发展注入了新的活力。绿色创新作为循环经济体系的关键驱动力，能够有效促进经济的可持续发展和高质量增长。本文采用2011-2021年长江经济带108个地级及以上城市的面板数据集，通过实证观察，运用空间德宾模型探讨了数字经济对绿色创新的溢出效应及其传导机制。研究结果表明，长江经济带数字经济和绿色创新的分布不均衡，下游地区比中上游地区表现出更显著的水平。虽然数字经济促进了当地城市的绿色创新，但它也对邻近城市产生了涓滴效应，通过各种测试，这种效应仍然强劲。数字经济对绿色创新的溢出效应在下游地区较为明显，这些地区是人力资本和绿色创新高度集中的城市。机制检验表明，数字经济通过促进研发人员流动、研发资金流动和产业结构升级，提升了地方绿色创新水平。在邻近地区的正向传播效应主要是由研发人员的流动驱动的。本研究为指导绿色转型、促进区域协调发展提供了有价值的实证见解。

{"title":"Trickle-down or siphon: The spillover effects of the digital economy on green innovation from the perspective of the circular economy","authors":"Yi Qiu , Cong Gao , Na Song","doi":"10.1016/j.seps.2025.102328","DOIUrl":"10.1016/j.seps.2025.102328","url":null,"abstract":"<div><div>In addition to the transformations driven by digitalization and sustainability, the digital economy has opened new paths and revitalized the advancement of green innovation. As a key driving force of the circular economy system, green innovation can effectively promote sustainable development and high-quality economic growth. This study employs a panel dataset encompassing 108 cities at and above the prefectural-level within the Yangtze River Economic Belt from 2011–2021 to investigate the spillover impacts and transmission mechanisms of the digital economy on green innovation through the Spatial Durbin Model through empirical observations. The findings reveal an uneven distribution of the digital economy and green innovation within the Yangtze River Economic Belt, with the downstream area exhibiting more significant levels than the middle and upper sections. While the digital economy enhances green innovation in local cities, it also has a trickle-down effect on neighboring cities, which remains robust through various tests. The spillover effects of the digital economy on green innovation are pronounced in downstream regions, which are cities with high concentrations of human capital and green innovation. Mechanistic testing shows that the digital economy advances local green innovation levels by facilitating the flow of R&D staff, R&D capital, and industrial structure upgrading. The positive transmission effect in neighboring areas is driven primarily by the movement of R&D staff. This study offers valuable empirical insights for guiding green transformation efforts and promoting coordinated regional development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102328"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145117765","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}

引用次数: 0

Testing facility location with constrained queue time problem: A case study on Brazilian capital cities 考虑排队时间约束的测试设施选址：以巴西首都城市为例

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-08-08 DOI: 10.1016/j.seps.2025.102298

Almir Monteiro , Rafael Schneider , Laura Bahiense , Vanessa de Almeida Guimarães , Pedro Henrique González

This paper addresses the Testing Facility Location with Constrained Queue Time Problem. This optimization problem was designed to determine the best places to deploy testing facilities for contagious diseases and the number of testers in each facility, while constraining the maximum waiting time in the queue, with a given probability. An integer programming model was formulated, presented and applied to the 27 capital cities of Brazil. In addition, the results achieved by the model were validated using a Monte Carlo simulation, to verify if the constrained queue time was being satisfied. Through several experiments, testing plans can be determined for various scenarios, comprising different parameters. When evaluating its similarities and differences, this provides interesting insights to the decision-maker. The results indicate that the model successfully produces valuable information to support the creation of testing plans, as every outcome respected the constrained maximum waiting time in the queue in all executions. In addition to pointing out the minimum investment necessary to execute a testing plan in all the capital cities, they also show that a small increase (less than 4%) in the total costs could allow both a decrease in waiting time and an increase in service level, allowing the decision-maker to apply the best combination of parameters, based on the current situation.

研究了具有约束排队时间的测试设备选址问题。该优化问题旨在确定传染病测试设施的最佳部署地点和每个设施中的测试人员数量，同时在给定的概率下限制队列中的最大等待时间。建立了一个整数规划模型，并将其应用于巴西27个首都城市。此外，使用蒙特卡罗模拟验证了模型所获得的结果，以验证是否满足约束的队列时间。通过多次实验，可以确定各种场景的测试计划，包括不同的参数。在评估其异同时，这为决策者提供了有趣的见解。结果表明，该模型成功地生成了有价值的信息，以支持测试计划的创建，因为每个结果在所有执行中都尊重队列中受限的最大等待时间。除了指出在所有首府城市执行测试计划所需的最低投资外，他们还表明，总成本的小幅增加（不到4%）可以减少等待时间并提高服务水平，从而使决策者能够根据当前情况应用最佳参数组合。

{"title":"Testing facility location with constrained queue time problem: A case study on Brazilian capital cities","authors":"Almir Monteiro , Rafael Schneider , Laura Bahiense , Vanessa de Almeida Guimarães , Pedro Henrique González","doi":"10.1016/j.seps.2025.102298","DOIUrl":"10.1016/j.seps.2025.102298","url":null,"abstract":"<div><div>This paper addresses the Testing Facility Location with Constrained Queue Time Problem. This optimization problem was designed to determine the best places to deploy testing facilities for contagious diseases and the number of testers in each facility, while constraining the maximum waiting time in the queue, with a given probability. An integer programming model was formulated, presented and applied to the 27 capital cities of Brazil. In addition, the results achieved by the model were validated using a Monte Carlo simulation, to verify if the constrained queue time was being satisfied. Through several experiments, testing plans can be determined for various scenarios, comprising different parameters. When evaluating its similarities and differences, this provides interesting insights to the decision-maker. The results indicate that the model successfully produces valuable information to support the creation of testing plans, as every outcome respected the constrained maximum waiting time in the queue in all executions. In addition to pointing out the minimum investment necessary to execute a testing plan in all the capital cities, they also show that a small increase (less than 4%) in the total costs could allow both a decrease in waiting time and an increase in service level, allowing the decision-maker to apply the best combination of parameters, based on the current situation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102298"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144851936","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}

引用次数: 0

A hybrid method combining three-way decision and DEA game cross-efficiency for procurement mode selection in contract farming 三向决策与DEA博弈交叉效率相结合的合同农业采购模式选择混合方法

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-09-29 DOI: 10.1016/j.seps.2025.102336

Sen Liu , Rongrong Jiang , Ling Liu , Felix T.S. Chan

The order procurement mode in contract farming has facilitated the transformation of agriculture from small-scale production to large-scale, intensive production, thus promoting agricultural modernization. However, with the expansion of agricultural operations and increasing complexity of industrial chains, the applicability and flexibility of existing order procurement models face challenges. A single model can no longer cope with the changing production environment. Moreover, few rigorous decision-making tools exist for selecting the appropriate order procurement model. To address these issues, this study proposes a hybrid method combining three-way decision and DEA game cross-efficiency to help agricultural product distribution enterprises in optimizing their selection of order procurement modes. The method involves calculating decision-makers’ weights using cosine similarity based on T-spherical fuzzy sets, constructing a comprehensive evaluation matrix, and combining three-way decision theory with the DEA game cross-efficiency method. It estimates conditional probabilities, constructs a loss function matrix, and determines the probability threshold based on the game cross-efficiency results. Finally, the method's effectiveness is validated through three case studies of Group R, Enterprise H, and Enterprise K, with the comparative experiments further demonstrating the method's accuracy and effectiveness.

合同农业中的订单采购模式，促进了农业由小规模生产向规模化、集约化生产的转变，从而促进了农业现代化。然而，随着农业经营规模的扩大和产业链的日益复杂，现有订单采购模式的适用性和灵活性面临挑战。单一模型已无法应对不断变化的生产环境。此外，很少有严格的决策工具来选择合适的订单采购模式。针对这些问题，本文提出了一种三方决策与DEA博弈交叉效率相结合的混合方法，帮助农产品流通企业优化订单采购模式的选择。该方法采用基于t球模糊集的余弦相似度计算决策者权重，构建综合评价矩阵，将三向决策理论与DEA博弈交叉效率法相结合。它估计条件概率，构造损失函数矩阵，并根据博弈交叉效率结果确定概率阈值。最后，通过R集团、H企业和K企业三个案例验证了该方法的有效性，对比实验进一步验证了该方法的准确性和有效性。

{"title":"A hybrid method combining three-way decision and DEA game cross-efficiency for procurement mode selection in contract farming","authors":"Sen Liu , Rongrong Jiang , Ling Liu , Felix T.S. Chan","doi":"10.1016/j.seps.2025.102336","DOIUrl":"10.1016/j.seps.2025.102336","url":null,"abstract":"<div><div>The order procurement mode in contract farming has facilitated the transformation of agriculture from small-scale production to large-scale, intensive production, thus promoting agricultural modernization. However, with the expansion of agricultural operations and increasing complexity of industrial chains, the applicability and flexibility of existing order procurement models face challenges. A single model can no longer cope with the changing production environment. Moreover, few rigorous decision-making tools exist for selecting the appropriate order procurement model. To address these issues, this study proposes a hybrid method combining three-way decision and DEA game cross-efficiency to help agricultural product distribution enterprises in optimizing their selection of order procurement modes. The method involves calculating decision-makers’ weights using cosine similarity based on T-spherical fuzzy sets, constructing a comprehensive evaluation matrix, and combining three-way decision theory with the DEA game cross-efficiency method. It estimates conditional probabilities, constructs a loss function matrix, and determines the probability threshold based on the game cross-efficiency results. Finally, the method's effectiveness is validated through three case studies of Group R, Enterprise H, and Enterprise K, with the comparative experiments further demonstrating the method's accuracy and effectiveness.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102336"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265988","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}

引用次数: 0

Performance evaluation of emerging grid infrastructure Operations: Evidence from ultra-high-voltage transmission lines in China 新兴电网基础设施运营的绩效评估：来自中国超高压输电线路的证据

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-08-09 DOI: 10.1016/j.seps.2025.102313

Bai-Chen Xie , Qian-Xu Wu , Yu-Yan Qin , Can Zhang

Emerging electrical infrastructure, especially network infrastructure, is increasingly important for the electricity sector to respond to extreme shocks and transition to clean energy. However, limited research has included system stability indicators into the evaluation framework of this new infrastructure. This study takes the example of ultra-high-voltage (UHV) lines in China, a key new infrastructure, to explore whether the substantial investment in labor and capital of UHV lines will lead to satisfactory service reliability and other returns. Using province-level balanced panel data from 2005 to 2022 in China, we apply the non-radial directional distance function (NDDF) model combined with a difference-in-differences (DID) approach to assess how UHV projects influence the total factor productivity (TFP) of grid firms. The findings reveal that UHV projects lead to a notable improvement in utility performance, as measured by TFP, with an average increase of 1.07 %. Mechanism analysis shows that the resource allocation and energy substitution effects are both significant for facilitating TFP, although the contribution of UHV projects to energy transition cannot manifest in the short term. The benefits of UHV are particularly significant in regions with high demand for electricity and at firms on the electricity input end. These findings suggest that planners should adopt a long-term, context-specific approach to the development of electrical infrastructure. Given that the energy transition is a gradual process, grid utilities, as key enablers, must effectively address the challenges of the transitional phase to ensure a future with sustainable energy.

新兴的电力基础设施，特别是电网基础设施，对于电力部门应对极端冲击和向清洁能源过渡越来越重要。然而，将系统稳定性指标纳入这种新型基础设施的评估框架的研究有限。本研究以中国的特高压（UHV）线路为例，探讨在特高压线路上投入大量的人力和资金是否会带来令人满意的服务可靠性和其他回报。特高压线路是一项重要的新型基础设施。利用2005年至2022年中国省级均衡面板数据，我们采用非径向定向距离函数（NDDF）模型结合差分法（DID）方法来评估特高压项目对电网企业全要素生产率（TFP）的影响。研究结果表明，特高压项目显著改善了公用事业绩效，以TFP衡量，平均提高了1.07%。机制分析表明，尽管特高压项目对能源转型的贡献在短期内无法显现，但资源配置效应和能源替代效应对TFP的促进作用都是显著的。特高压的好处在电力需求高的地区和电力输入端的公司尤为显著。这些发现表明，规划者应该采用一种长期的、针对具体情况的方法来发展电力基础设施。鉴于能源转型是一个渐进的过程，作为关键推动者的电网公司必须有效应对转型阶段的挑战，以确保未来的能源可持续发展。

{"title":"Performance evaluation of emerging grid infrastructure Operations: Evidence from ultra-high-voltage transmission lines in China","authors":"Bai-Chen Xie , Qian-Xu Wu , Yu-Yan Qin , Can Zhang","doi":"10.1016/j.seps.2025.102313","DOIUrl":"10.1016/j.seps.2025.102313","url":null,"abstract":"<div><div>Emerging electrical infrastructure, especially network infrastructure, is increasingly important for the electricity sector to respond to extreme shocks and transition to clean energy. However, limited research has included system stability indicators into the evaluation framework of this new infrastructure. This study takes the example of ultra-high-voltage (UHV) lines in China, a key new infrastructure, to explore whether the substantial investment in labor and capital of UHV lines will lead to satisfactory service reliability and other returns. Using province-level balanced panel data from 2005 to 2022 in China, we apply the non-radial directional distance function (NDDF) model combined with a difference-in-differences (DID) approach to assess how UHV projects influence the total factor productivity (TFP) of grid firms. The findings reveal that UHV projects lead to a notable improvement in utility performance, as measured by TFP, with an average increase of 1.07 %. Mechanism analysis shows that the resource allocation and energy substitution effects are both significant for facilitating TFP, although the contribution of UHV projects to energy transition cannot manifest in the short term. The benefits of UHV are particularly significant in regions with high demand for electricity and at firms on the electricity input end. These findings suggest that planners should adopt a long-term, context-specific approach to the development of electrical infrastructure. Given that the energy transition is a gradual process, grid utilities, as key enablers, must effectively address the challenges of the transitional phase to ensure a future with sustainable energy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102313"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864532","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}

引用次数: 0

How does open public data affect enterprise green transformation? 开放的公共数据如何影响企业绿色转型？

IF 5.4 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2025-12-01 Epub Date: 2025-10-03 DOI: 10.1016/j.seps.2025.102342

Long Ling , Lu Hu , Shaoqiu Li , Xing Zhao , Xixi Ye

As the challenges of climate change and environmental deterioration intensify globally, enterprise green transformation (CGT) has become an essential strategy for advancing sustainable development. Nevertheless, there is currently little empirical research on how open public data (PDO) affects CGT. To evaluate the impact of PDO on CGT, this study uses Chinese listed enterprises data from 2007 to 2022. The research findings are follows: (1) PDO significantly promotes CGT. The impact of PDO gradually decreases as CGT increases. Following robustness and endogeneity tests, this conclusion is still true. (2) According to the results of heterogeneity tests, the promoting effect is more pronounced among enterprises located in cities with higher administrative level, operating within the manufacturing sector, and engaging in a greater number of green mergers and acquisitions. (3) PDO promotes CGT by facilitating digital transformation (DTS), exerting green development (GDE), and enhancing external supervision (ESE). These findings not only enrich the content of research on PDO and CGT but also provide valuable guidance and insights for practical policy formulation and social practice.

随着全球气候变化和环境恶化挑战的加剧，企业绿色转型已成为推动可持续发展的重要战略。然而，目前关于公开公共数据（PDO）如何影响CGT的实证研究很少。为了评估PDO对CGT的影响，本研究使用了2007 - 2022年的中国上市企业数据。研究发现：(1)PDO显著促进CGT。随着CGT的增加，PDO的影响逐渐减小。经过稳健性和内生性检验，这一结论仍然成立。(2)异质性检验结果显示，行政级别越高的城市、制造业内部的企业对绿色并购的促进作用越明显，参与绿色并购的企业越多。(3) PDO通过推进数字化转型（DTS）、实施绿色发展（GDE）和加强外部监督（ESE）来促进CGT。这些发现不仅丰富了PDO和CGT的研究内容，也为实际政策制定和社会实践提供了宝贵的指导和见解。

{"title":"How does open public data affect enterprise green transformation?","authors":"Long Ling , Lu Hu , Shaoqiu Li , Xing Zhao , Xixi Ye","doi":"10.1016/j.seps.2025.102342","DOIUrl":"10.1016/j.seps.2025.102342","url":null,"abstract":"<div><div>As the challenges of climate change and environmental deterioration intensify globally, enterprise green transformation (CGT) has become an essential strategy for advancing sustainable development. Nevertheless, there is currently little empirical research on how open public data (PDO) affects CGT. To evaluate the impact of PDO on CGT, this study uses Chinese listed enterprises data from 2007 to 2022. The research findings are follows: (1) PDO significantly promotes CGT. The impact of PDO gradually decreases as CGT increases. Following robustness and endogeneity tests, this conclusion is still true. (2) According to the results of heterogeneity tests, the promoting effect is more pronounced among enterprises located in cities with higher administrative level, operating within the manufacturing sector, and engaging in a greater number of green mergers and acquisitions. (3) PDO promotes CGT by facilitating digital transformation (DTS), exerting green development (GDE), and enhancing external supervision (ESE). These findings not only enrich the content of research on PDO and CGT but also provide valuable guidance and insights for practical policy formulation and social practice.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"102 ","pages":"Article 102342"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265989","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}

引用次数: 0