Socio-economic Planning Sciences最新文献_第7页

Social insurance contributions and labor income share—Evidence from China's Social Insurance Law 社会保险缴费与劳动收入分担——来自中国社会保险法的证据

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-19 DOI: 10.1016/j.seps.2024.102103

Yadong Cui , Jun Liang , Wei Wang

This paper analyzes the impact of social insurance contributions on the labor income share and its mechanisms, based on the exogenous policy shock of the implementation of the China's Social Insurance Law, by constructing a theoretical model and using the DID method. The results show that the increase in the social insurance contribution resulting from the implementation of the Law significantly increased the capital-labor ratio of firms, which in turn increased the labor income share. After the decomposition of the labor income share, it is found that the increase in the labor income share due to the increase in the level of social insurance contributions is attributable to the increase in per capita labor compensation exceeding the increase in labor productivity. After the implementation of the Law, the labor income share increased more for firms that were subject to stricter tax control, stronger labor protection, more difficult cost shifting, smaller elasticity of factor substitution, and weaker degree of financing constraints. This study better explains the phenomenon of China's labor income share rebound, provides empirical evidence from developing countries to increase the labor income share, and emphasizes the importance of protecting workers' social insurance rights and interests and regulating firms' social insurance contribution behavior to increase the labor income share, which helps to deepen the understanding of the role of social insurance system reform in regulating income distribution.

本文基于《社会保险法》实施的外生政策冲击，构建理论模型，运用DID方法，分析了社会保险缴费对劳动收入占比的影响及其机制。结果表明，法律实施导致的社会保险缴费增加显著提高了企业的资本劳动比率，从而提高了劳动收入份额。对劳动收入占比进行分解后发现，由于社会保险缴费水平的提高而导致的劳动收入占比的增加，是由于人均劳动报酬的增长超过了劳动生产率的增长。《企业法》实施后，税收管制越严、劳动保护越强、成本转移难度越大、要素替代弹性越小、融资约束程度越弱的企业，劳动收入占比越高。本研究较好地解释了中国劳动收入占比反弹的现象，提供了发展中国家提高劳动收入占比的经验证据，并强调了保护劳动者社会保险权益和规范企业社会保险缴费行为对提高劳动收入占比的重要性，有助于加深对社会保险制度改革在调节收入分配中的作用的理解。

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引用次数: 0

I like participatory museums but, how much? Embedding demand-side value in assessing strategies 我喜欢参与式博物馆，但喜欢多少？将需求方价值纳入评估战略

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-17 DOI: 10.1016/j.seps.2024.102111

Jonathan Daniel Gómez-Zapata , María José Del Barrio-Tellado , Fátima Espinosa-Casero , Luis César Herrero-Prieto

In contrast to traditional models of unidirectional management, new governance strategies of cultural institutions based on participatory models –grounded on the active involvement of multiple actors in management, programming, production and innovation– have gained importance over the last few years. Our aim is to evaluate a participatory approach action programme for a sample of museums, embedding the value allocated by the museum community (users and beneficiaries) to the whole model and to the different participatory strategies. We first identify four main areas of participation (collaborative co-governance, creative co-production, social co-innovation, and technological co-innovation), which in turn are divided into four specific options ranked from the highest to the lowest degree of engagement. We also add a fifth dimension –a price vector– which serves as a payment vehicle to estimate the willingness to pay for the model and options. Non-market goods valuation techniques –contingent valuation and discrete choice experiment– are used to estimate the value allocated by the museum community to participatory strategies. Results show that citizens still rely more on cultural management and programming led by museum managers, rather than being involved in their design and guidance, although they do appreciate the possibilities of being involved in the dimensions of social actions and technological innovation.

与传统的单向管理模式相比，以参与式模式为基础的文化机构管理新策略--以多方积极参与管理、计划编制、生产和创新为基础--在过去几年中日益受到重视。我们的目标是对博物馆参与式方法行动方案进行评估，将博物馆社区（用户和受益人）对整个模式和不同参与式战略的价值分配纳入其中。我们首先确定了参与的四个主要领域（合作共治、创意共同生产、社会共同创新和技术共同创新），然后将其划分为参与程度从高到低排列的四个具体选项。我们还增加了第五个维度--价格矢量，作为一种支付工具，用于估算模型和选项的支付意愿。非市场商品估值技术--权变估值和离散选择实验--被用来估算博物馆社区分配给参与式策略的价值。研究结果表明，尽管公民们对参与社会行动和技术创新的可能性表示赞赏，但他们仍然更依赖于由博物馆管理者主导的文化管理和计划编制，而不是参与其设计和指导。

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引用次数: 0

COVID-19 and the changing profiles of poverty in India: A fuzzy set analysis and imputation approach using PLFS data

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-16 DOI: 10.1016/j.seps.2024.102110

Fernando Flores Tavares , Alessandro Carraro

This paper has the double aim of contributing to the debate on poverty in India by looking at the changing poverty profiles during the pandemic and addressing the challenges posed by the longstanding data limitations for poverty analysis. We use a fuzzy-set methodology to assess the changes in poverty characteristics over time and a stochastic multiple imputation method to enhance the accuracy of the PLFS data. Our analysis encompasses both consumption- and income-based poverty, with a focus on historically marginalised groups such as children and women. We find that the post-shock economic recovery period seems to have bypassed these groups, leaving them struggling to improve their circumstances. In the consumption-based analysis, poverty is rising among larger households and casual labourers, while in the income-based analysis, households with children and working-age women are increasingly affected, with a growing gender disparity and a strong association with low-skilled jobs.

引用次数: 0

A hybrid MCDM framework for assessing urban competitiveness: A case study of European cities 评估城市竞争力的混合 MCDM 框架：欧洲城市案例研究

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-14 DOI: 10.1016/j.seps.2024.102109

Özcan Işık , Mohsin Shabir , Sarbast Moslem

Achieving high performance in long-term sustainability is crucial for urban areas. Comparative analysis of cities based on specific indicators over time offers valuable insights for stakeholders involved in urban development and enhances the understanding of city performance. This study tackles the challenge of ranking major cities based on multidimensional performance using a multiple-criteria decision-making (MCDM) approach. We introduce a novel hybrid MCDM framework that integrates Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), CRiteria Importance Through Inter-criteria Correlation (CRITIC), and Aczel-Alsina Weighted ASsessment (ALWAS). The results derived from the data-driven linear weighting strategy combining the outputs from LOPCOW and CRITIC indicate that the three most influential drivers influencing the competitive levels of the analyzed cities are livability, environment, and accessibility, respectively. The findings of ALWAS, responsible for the city rankings, show that London is the most successful city with respect to competitive performance among the leading European cities in the sample. Additionally, the effectiveness of the proposed framework is illustrated through a case study evaluating the global competitiveness of European cities. Sensitivity and comparison analyses confirm the stability and reliability of the results, validating the robustness of the proposed approach.

实现长期可持续性的高绩效对城市地区至关重要。根据特定指标对城市进行长期比较分析，可为参与城市发展的利益相关者提供有价值的见解，并加深对城市绩效的理解。本研究采用多重标准决策（MCDM）方法，应对基于多维绩效对主要城市进行排名的挑战。我们介绍了一种新颖的混合 MCDM 框架，该框架整合了对数百分比变化驱动的目标加权法（LOPCOW）、通过标准间相关性得出的标准重要性法（CRITIC）和阿泽尔-阿尔西纳加权 AS 评估法（ALWAS）。数据驱动的线性加权策略结合 LOPCOW 和 CRITIC 的输出结果得出的结果表明，影响所分析城市竞争力水平的三个最具影响力的驱动因素分别是宜居性、环境和可达性。负责城市排名的 ALWAS 的研究结果表明，在样本中的欧洲主要城市中，伦敦是竞争力表现最成功的城市。此外，通过一项评估欧洲城市全球竞争力的案例研究，说明了建议框架的有效性。敏感性分析和比较分析证实了结果的稳定性和可靠性，验证了建议方法的稳健性。

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引用次数: 0

Modeling and managing resilience and risk for interdependent networks 为相互依赖的网络建模和管理弹性和风险

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-12 DOI: 10.1016/j.seps.2024.102105

Felipe Aros-Vera , Shital Thekdi

Catastrophic events have the potential to cause major disruptions to interdependent networks such as supply chains, critical infrastructures and other networks that are vital for the functioning of our society. Addressing the resilience and risk of compromised networks is challenging due to a variety of factors. First, these networks are becoming increasingly interdependent, such that network recovery is contingent upon recovery in connected networks. Additionally, interdependent networks may have multiple functions, system users, owners, and stakeholders. There is a need for data-informed decision-making models that address resilience and risk for these interdependent infrastructure networks. We address these issues by: 1) Modeling interdependencies among infrastructure networks using a multi-layer interdependent network framework, 2) Quantifying the relationship between network resilience and the inter-network connection structure, and 3) Supporting management and strategic decision-making for investment in inter-network connection structures, supporting risk mitigation needs and strategies. Our paper combines network optimization and network science methods to produce a unified framework to analyze resilience. We apply the methods of this paper to the interdependent infrastructure network of Puerto Rico following the 2017 Hurricane Maria. This paper supports decision-making for data-informed resilience management for interdependent infrastructure networks.

灾难性事件有可能对相互依赖的网络造成重大破坏，如供应链、关键基础设施和其他对我们社会运作至关重要的网络。由于各种因素，解决受损网络的弹性和风险是具有挑战性的。首先，这些网络变得越来越相互依赖，因此网络的恢复取决于连接网络的恢复。此外，相互依赖的网络可能具有多个功能、系统用户、所有者和涉众。有必要建立基于数据的决策模型，以解决这些相互依赖的基础设施网络的弹性和风险问题。我们通过以下方式解决这些问题：1)使用多层相互依赖的网络框架对基础设施网络之间的相互依赖进行建模；2)量化网络弹性与网络间连接结构之间的关系；3)支持网络间连接结构投资的管理和战略决策，支持风险缓解需求和策略。本文结合网络优化和网络科学方法，建立了一个统一的弹性分析框架。我们将本文的方法应用于2017年飓风玛丽亚之后波多黎各相互依存的基础设施网络。本文为相互依赖的基础设施网络的数据知情弹性管理决策提供支持。

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引用次数: 0

Impact of family members’ perception bias on service strategies of elder care institutions

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-12 DOI: 10.1016/j.seps.2024.102107

Xiaoxiao Wang, Changyong Liang

Family members play an important role in the decision-making process of the elderly in accepting elder care services, which inevitably influences the operational strategy of elder care institutions (ECIs). Previous literature has focused on the disagreements between the elderly and their family members, but a research gap remains in examining the effects of family members' perception bias on ECIs' decisions to outsource service and on the elder care service market in general. Our study bridges this gap by employing a game-theoretic model that incorporates monopoly and duopoly markets to explore these effects. Our findings indicate that family members' perception bias for ECIs' services negatively impacts ECIs' prices, demand, and profit. Moreover, we find that in the monopoly market, an ECI should adopt the outsourcing strategy to reduce losses if family members' perception bias is higher. In the duopoly market, when family members' perception bias is higher, if one ECI adopts the outsourcing strategy, then the other ECI should opt for the self-providing strategy, and vice versa. Furthermore, we observe that a higher perception bias decreases family surplus and social welfare in the monopoly market. However, it may sometimes benefit family surplus and social welfare in the duopoly market. Our results offer insightful takeaways for ECIs' operational strategies and policymakers’ welfare policies in the elder care service market.

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引用次数: 0

Low-carbon route optimization model for multimodal freight transport considering value and time attributes 考虑价值和时间属性的多式货运低碳路线优化模型

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-10 DOI: 10.1016/j.seps.2024.102108

Xinghui Chen , Xinghua Hu , Haobing Liu

As the international community increasingly focuses on climate change, optimizing low-carbon transportation routes in the multimodal freight transport system has become a pressing issue. However, due to the variability in cargo properties and the influence of various factors on transportation route decisions, formulating a low-carbon and economical multimodal freight transport plan remains a significant challenge. To address the issue, this study considered cargoes with different attributes in terms of both value and time attributes. Triangular fuzzy numbers were employed to represent the uncertain demand for cargo, with confidence levels introduced for clarification. A low-carbon route decision optimization model for multimodal freight transport was established to minimize the combined transportation carbon emission and time costs. The catastrophe adaptive genetic algorithm, based on Monte Carlo sampling, was employed to solve the model using arithmetic examples. Finally, parameter sensitivity analysis revealed that adjustments to carbon tax values and changes in the proportion of electric trucks and green electricity supply had the most significant impact on the low-carbon route decision-making plan for multimodal freight transport. For low value-added and timeliness-strong cargo, a 60 % increase in carbon tax value shifted the mode of transportation from road to railway. When the carbon tax increased by more than 140 %, the transportation mode shifted from railway to waterway. Additionally, when the proportion of electric trucks and green electricity supply both exceeded 80 %, the transportation mode between some city nodes shifted from railway to road. When these proportions increased beyond 90 %, road transportation became the predominant mode.

随着国际社会对气候变化的日益关注，在多式联运货运系统中优化低碳运输路线已成为一个紧迫的问题。然而，由于货物属性的多变性以及各种因素对运输路线决策的影响，制定低碳、经济的多式联运货运计划仍然是一项重大挑战。为解决这一问题，本研究考虑了在价值和时间属性方面具有不同属性的货物。研究采用三角模糊数来表示不确定的货物需求，并引入置信度来加以说明。建立了多式联运货物运输的低碳路线决策优化模型，以最大限度地降低运输碳排放和时间成本。采用基于蒙特卡洛抽样的灾难自适应遗传算法，利用算术实例对模型进行求解。最后，参数敏感性分析表明，碳税值的调整以及电动卡车和绿色电力供应比例的变化对多式联运的低碳路线决策方案影响最大。对于低附加值和时效性强的货物，碳税额增加 60%，运输方式就会从公路转向铁路。当碳税增加 140% 以上时，运输模式从铁路转向水路。此外，当电动卡车和绿色电力供应的比例均超过 80% 时，一些城市节点之间的运输方式由铁路转向公路。当上述比例超过 90% 时，公路运输成为主要运输方式。

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引用次数: 0

Measurement and comparison of different dimensions of renewable energy policy implementation in the agricultural sector 衡量和比较农业部门实施可再生能源政策的不同方面

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-09 DOI: 10.1016/j.seps.2024.102106

Somayeh Dehhaghi , Shahla Choobchian , Hossein Azadi

The current research aims to measure the different dimensions of renewable energy policy implementation and compare these dimensions with each other, focusing on Iran's agricultural sector. This analysis makes it possible to identify the strengths and weaknesses in implementing existing policies. The five dimensions include “organizational and institutional”, “incentives”, “investment”, “infrastructure”, and “human resources development”. The statistical population of this research comprised energy policy experts, whose number was 85. The sampling method was random, and 70 persons participated in answering the questionnaire using the Karjesi and Morgan table. A questionnaire was used to collect data. The reliability of the questionnaire was calculated using Cronbach's alpha (0.916). Face validity, content validity ratio (CVR), and content validity index (CVI) were applied to determine validity. In the calculation of CVR, values ≥ 0.33 were considered reasonable and appropriate to confirm each item. All CVI values obtained were higher than 0.79. Multi-criteria analysis was used to analyze the data. The results indicated that organizational and institutional policies were at the highest level of unsustainability. The dimension of investment policies showed less unsustainability than other dimensions. The other three dimensions also showed significant deficiencies. It seems that policy development to eliminate the diversity and interference of organizations, fuel subsidies revision, market policy development, attracting capital, and participation of stakeholders is necessary to reduce unsustainability in this field. The development of the resources of expert forces and attention to educational policies should also be considered.

目前的研究旨在衡量可再生能源政策实施的不同方面，并将这些方面相互比较，重点是伊朗的农业部门。通过分析，可以找出现有政策实施的优缺点。这五个方面包括 "组织和制度"、"激励措施"、"投资"、"基础设施 "和 "人力资源开发"。本研究的统计对象包括能源政策专家，人数为 85 人。抽样方法为随机抽样，共有 70 人参与了问卷调查，采用的是卡尔杰西和摩根表格。问卷用于收集数据。问卷的可靠性使用 Cronbach's alpha（0.916）进行计算。面效度、内容效度比（CVR）和内容效度指数（CVI）用于确定效度。在计算 CVR 时，≥ 0.33 的值被认为是合理和适当的，可以确认每个项目。所有 CVI 值均高于 0.79。数据分析采用了多重标准分析法。结果表明，组织和机构政策的不可持续性水平最高。与其他维度相比，投资政策维度的不可持续性较低。其他三个维度也显示出明显的不足。看来，要降低该领域的不可持续性，必须制定政策以消除组织的多样性和干扰、修订燃料补贴、制定市场政策、吸引资本和利益相关者的参与。此外，还应考虑开发专家资源和关注教育政策。

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引用次数: 0

Performance evaluation of child welfare departments using Data Envelopment Analysis: A comparative study across US states 利用数据包络分析法对儿童福利部门进行绩效评估：美国各州比较研究

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-05 DOI: 10.1016/j.seps.2024.102101

Sepideh Sedghi , Shima Azizi , Katherine Canada , Vincent Charles , Andrew C. Trapp

Public child welfare agencies play a pivotal role in safeguarding the well-being of children and thus, the future of our society. While the performance of child welfare agencies is of critical importance, limited previous research relying on operations research and advanced analytics appears to exist in the analysis of their performance. We conduct a multi-criteria analysis for benchmarking the performance of the United States child welfare system, using Data Envelopment Analysis (DEA) to evaluate the performance of public child welfare agencies across different US states. We select as outputs various statewide data indicators from the Child and Family Services Review (CFSR), while our inputs include the total annual expenditure by each state on the child welfare system. We use clustering to differentiate agencies based on the presence of the “Alternative Response” policy, which provides for preventive and support options for families, and apply DEA to each homogeneous cluster. We identify best-practice agencies and provide benchmarks for the remaining agencies to enhance their performance. Our study offers data-driven directions for child welfare agencies to improve safety and permanency outcomes for children.

公共儿童福利机构在保障儿童福祉、进而保障社会未来方面发挥着举足轻重的作用。虽然儿童福利机构的绩效至关重要，但以往依靠运筹学和高级分析技术对其绩效进行分析的研究似乎十分有限。我们使用数据包络分析法（DEA）对美国各州的公共儿童福利机构的绩效进行了评估，从而对美国儿童福利系统的绩效基准进行了多标准分析。我们从《儿童与家庭服务回顾》（CFSR）中选取各种全州数据指标作为输出，而输入则包括各州每年用于儿童福利系统的总支出。我们采用聚类的方法，根据是否存在 "替代性回应 "政策（该政策为家庭提供预防和支持选择）来区分机构，并对每个同质聚类应用 DEA。我们确定了最佳实践机构，并为其余机构提供了提高绩效的基准。我们的研究为儿童福利机构提供了数据驱动的方向，以改善儿童的安全和永久性结果。

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引用次数: 0

A Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes 基于 Kansei 工程的多维属性离线医疗服务质量评价决策方法

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-01 DOI: 10.1016/j.seps.2024.102100

Yujia Liu , Xinru Ren , Feixia Ji , Changyong Liang , Jian Wu

The evaluation of doctors’ offline medical service quality plays a vital role in evaluating hospital performance. There are two challenges that need to be addressed: (1) Currently, telephone follow-up and questionnaire surveys are the main methods for evaluating the quality of offline (mainly outpatient and inpatient) medical services in hospitals. However, these methods suffer from drawbacks such as low efficiency and resource consumption. (2) There are certain limitations to determining attribute dimensions and weighting patient evaluation attributes based solely on word frequency. To this end, this study proposes a Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes. First, this study constructs a medical Kansei lexicon based on speed and cosine similarity. Second, a concept of Kansei utility values is been defined to represent attribute values in medical service quality evaluation. Additionally, this study builds upon the Kano model to obtain the Kano classification of each attribute. On that basis, a novel approach to obtaining the implicit importance of the attributes is proposed. Thus, the weight vector of the attributes can be calculated as the combination of explicit and implicit importance. Finally, the evaluation result is obtained by using the multiattribute decision-making method. The effectiveness of the proposed method is verified through an analysis of online reviews from Haodf.com. The case study reveals that offline patients consider medical ethics and communication skills as the ”must-be” dimension of attributes, medical competence as a one-dimensional attribute, and medical advice and prescriptions as the attractive dimension of attributes. A comparative analysis with the traditional method is conducted to demonstrate the importance of dimensional analysis for offline medical service quality evaluation. The main contributions of this study include the following: (1) A medical Kansei lexicon is constructed based on Kansei engineering, and (2) a novel decision-making framework for medical service evaluation based on both appearance and implicit importance is constructed.

医生线下医疗服务质量评价在医院绩效评价中起着至关重要的作用。需要解决的难题有两个：（1）目前，电话随访和问卷调查是评价医院线下（主要是门诊和住院）医疗服务质量的主要方法。然而，这些方法存在效率低、资源消耗大等缺点。(2) 仅根据词频确定属性维度和患者评价属性权重存在一定的局限性。为此，本研究提出了一种基于康熙工程学的多维属性离线医疗服务质量评价决策方法。首先，本研究构建了基于速度和余弦相似度的医疗 Kansei 词库。其次，定义了 Kansei 实用价值的概念，以表示医疗服务质量评价中的属性值。此外，本研究以 Kano 模型为基础，获得了每个属性的 Kano 分类。在此基础上，提出了一种获取属性隐含重要性的新方法。因此，属性的权重向量可以计算为显性和隐性重要性的组合。最后，使用多属性决策方法得出评估结果。通过分析 Haodf.com 上的在线评论，验证了所提方法的有效性。案例研究显示，线下患者认为医德和沟通技巧是 "必须的 "属性维度，医疗能力是一维属性，而医疗建议和处方则是有吸引力的属性维度。通过与传统方法的对比分析，证明了维度分析法在线下医疗服务质量评价中的重要性。本研究的主要贡献包括以下几点：(1) 基于 Kansei 工程学构建了医疗 Kansei 词库；(2) 构建了基于外观和隐含重要性的新型医疗服务评价决策框架。

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引用次数: 0