Socio-economic Planning Sciences最新文献

Equity and sustainability in the health care market: Socio-economic analysis of governance and reforms

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-12-01 DOI: 10.1016/j.seps.2024.102074

Lucia Leporatti, Ching-to Albert Ma

引用次数: 0

University student's opinion survey: A synthesis and a deeper insight

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-25 DOI: 10.1016/j.seps.2024.102114

Silvia Terzi , Francesca Petrarca

This study evaluates the University Student's Opinion Survey (OPIS), which measures student satisfaction with university courses using a four-level Likert scale. We propose applying Alkire-Foster's dual cut-off method (Alkire and Foster, 2007; Alkire and Foster, 2011) [2,4] to compute a multidimensional performance indicator and a local concordance curve to detect the association between different dimensions of the performance indicator. In our analysis, we set benchmarks for each survey item to classify classes as effective or critical based on their performance across multiple dimensions. Additionally, we introduce local concordance coefficients to provide deeper insights into student evaluations across different performance areas. In particular, we assess whether there is a concentration of organizational and teaching deficiencies (strengths) among the critical (effective) classes or whether the lacking (appreciated) skills are equally distributed among the different dimensions investigated by the survey. This comprehensive approach, combining the Alkire-Foster method and local concordance analysis, underscores the importance of multidimensional perspectives in assessing teaching quality, providing valuable insights for enhancing educational experiences in higher education.

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引用次数: 0

Modelling global fossil CO2 emissions with a lognormal distribution 用对数正态分布模拟全球化石二氧化碳排放量

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-22 DOI: 10.1016/j.seps.2024.102104

F. Prieto , C.B. García-García , R. Salmerón-Gómez

Carbon dioxide emissions have emerged as a critical issue with a profound impact on the environment and the global economy. The steady increase in atmospheric CO

_{2}

levels has become a major contributor to climate change and its associated catastrophic effects. A global effort is needed to tackle this pressing challenge, requiring a deep understanding of emissions patterns and trends. This paper focuses on identifying the underlying distribution of CO

_{2}

emissions analysing the hypothesis that the fossil CO

_{2}

emissions data, at the country level, can be described by a 2-parameter statistical model for the whole range of the distribution (all world countries). We consider that modelling with a simple distribution can be particularly useful in understanding CO

_{2}

emissions and we are looking to make our findings more accessible to policymakers. We utilize data from four databases and analyse six candidate distributions (exponential, Fisk, gamma, lognormal, Lomax, Weibull). Our findings highlight the adequacy of the lognormal distribution in characterizing emissions across all countries and years studied. A comprehensive analysis of Gibrat’s Law from 1970 to 2021 is also presented, employing a rolling window approach for the short, medium, and long term. Our findings reveal that Gibrat’s Law appears to be a short-term phenomenon for original CO

_{2}

emissions, but not for per capita emissions, aligning with conclusions from previous research. Finally, we employ the lognormal model to predict emission parameters for the coming years and propose two policies for reducing total fossil CO

_{2}

emissions.

二氧化碳排放已成为对环境和全球经济产生深远影响的关键问题。大气中二氧化碳含量的持续增加已成为气候变化及其相关灾难性影响的主要因素。要应对这一紧迫挑战，需要全球共同努力，这就要求深入了解排放模式和趋势。本文的重点是确定二氧化碳排放的基本分布，分析化石二氧化碳排放数据在国家层面上可以用一个针对整个分布范围（世界所有国家）的 2 参数统计模型来描述的假设。我们认为，用简单分布建模对理解二氧化碳排放特别有用，我们希望能让决策者更容易理解我们的研究结果。我们利用四个数据库的数据，分析了六种候选分布（指数分布、菲斯克分布、伽马分布、对数正态分布、洛马克斯分布、威布尔分布）。我们的研究结果凸显了对数正态分布在描述所研究的所有国家和年份的排放量特征方面的充分性。我们还采用短期、中期和长期的滚动窗口方法，对 1970 年至 2021 年的吉布拉特定律进行了全面分析。我们的研究结果表明，吉布拉特定律似乎是二氧化碳原始排放量的短期现象，但不是人均排放量的短期现象，这与之前的研究结论一致。最后，我们利用对数正态模型预测了未来几年的排放参数，并提出了减少化石二氧化碳排放总量的两项政策。

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引用次数: 0

Variable RTS in hierarchical network DEA: Enhancing efficiency in higher education systems 分层网络 DEA 中的可变 RTS：提高高等教育系统的效率

IF 6.2 2区经济学 Q1 ECONOMICS

Socio-economic Planning Sciences

Pub Date : 2024-11-20 DOI: 10.1016/j.seps.2024.102112

Siwei Xiao , Marios Kremantzis , Leonidas Sotirios Kyrgiakos , Aniekan Essien , George Vlontzos

This study presents a novel approach to Network Data Envelopment Analysis (DEA) by introducing “Returns to Scale (RTS) separation” within a hierarchical network DEA framework. Traditional DEA models, which often assume constant RTS, face limitations when analysing complex multi-functional structures. The proposed method, Variable RTS in Hierarchical Network DEA (VRS-HNDEA), addresses these limitations by integrating variable RTS, enabling a detailed efficiency analysis across hierarchical systems with heterogeneous sub-units. By utilising free variables, this model establishes distinct efficiency planes for simultaneous benchmarking of diverse subsystems, yielding a global efficiency frontier through the Minkowski addition of sub-system sets and analysed using an input-oriented enveloped form. Applied specifically to the higher education sector, the VRS-HNDEA model provides insights into the operational efficiency of various academic functions, including teaching, research, and administration. Key findings from this application demonstrate the model's ability to capture efficiency variations across hierarchical levels, supporting nuanced decisions on resource allocation and scale optimization. This framework, with its capability to recognise scale diversity across sub-systems, offers a significant tool for enhancing efficiency assessment in multi-layered public sector contexts, such as higher education, where comprehensive resource management is crucial.

本研究提出了一种新颖的网络数据包络分析（DEA）方法，即在分层网络 DEA 框架内引入 "规模回报（RTS）分离"。传统的 DEA 模型通常假定 RTS 恒定不变，在分析复杂的多功能结构时面临局限性。所提出的方法，即分层网络 DEA 中的可变 RTS（VRS-HNDEA），通过整合可变 RTS 来解决这些局限性，从而能够对具有异构子单位的分层系统进行详细的效率分析。通过利用自由变量，该模型建立了不同的效率平面，可同时对不同的子系统进行基准测试，通过子系统集的闵科夫斯基加法得出全球效率前沿，并采用以投入为导向的包络形式进行分析。将 VRS-HNDEA 模型具体应用于高等教育领域，可以深入了解教学、研究和行政等各种学术职能的运行效率。这一应用的主要研究结果表明，该模型能够捕捉各层级的效率变化，为资源分配和规模优化方面的细微决策提供支持。该框架能够识别各子系统之间的规模多样性，为加强多层次公共部门（如高等教育）的效率评估提供了重要工具，因为在这种情况下，全面的资源管理至关重要。

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引用次数: 0

Social insurance contributions and labor income share—Evidence from China's Social Insurance Law

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.

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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

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

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.

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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