Pub Date : 2025-04-22DOI: 10.1016/j.seps.2025.102228
Christina Iliopoulou , Michail A. Makridis, Anastasios Kouvelas
Public transport systems are vulnerable to natural disasters, accidents, or deliberate attacks, that can cause infrastructure damage and service disruptions. Disruption impacts depend on the network structure and the availability of alternative travel paths, highlighting the importance of path redundancy in public transport network planning. Addressing the associated research gap, we propose a practice-oriented path redundancy indicator and integrate it within a novel hybrid metaheuristic solution framework to design more resilient route structures from scratch. The approach combines Reinforcement Learning, Local Search operators and Particle Swarm Optimization and is validated using an established benchmark from the literature and a real-world network from Uruguay, generating more resilient networks that serve up to 25 % and 40 % more passengers in random and targeted attacks, respectively. Results show that resilience against link failures can be enhanced through path redundancy without adversely impacting average travel times.
{"title":"Improving transit network resilience against disruptions through path redundancy","authors":"Christina Iliopoulou , Michail A. Makridis, Anastasios Kouvelas","doi":"10.1016/j.seps.2025.102228","DOIUrl":"10.1016/j.seps.2025.102228","url":null,"abstract":"<div><div>Public transport systems are vulnerable to natural disasters, accidents, or deliberate attacks, that can cause infrastructure damage and service disruptions. Disruption impacts depend on the network structure and the availability of alternative travel paths, highlighting the importance of path redundancy in public transport network planning. Addressing the associated research gap, we propose a practice-oriented path redundancy indicator and integrate it within a novel hybrid metaheuristic solution framework to design more resilient route structures from scratch. The approach combines Reinforcement Learning, Local Search operators and Particle Swarm Optimization and is validated using an established benchmark from the literature and a real-world network from Uruguay, generating more resilient networks that serve up to 25 % and 40 % more passengers in random and targeted attacks, respectively. Results show that resilience against link failures can be enhanced through path redundancy without adversely impacting average travel times.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102228"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870595","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}
Pub Date : 2025-04-19DOI: 10.1016/j.seps.2025.102218
Xintong Wu
With the accelerating global pursuit of sustainable development gaining unprecedented traction, the practice of corporate greenwashing has become a significant restraining factor on developing the green economy. This article selects data from A-share listed companies to study how Confucian culture affects corporate greenwashing behaviors and the mechanisms. The findings of this study indicate that Confucian culture significantly inhibits corporate greenwashing behaviors. This cultural influence appears to function, as it increases media scrutiny and encourages ESG activism among institutional investors. Government environmental regulations amplify this effect, while a company's innovation efficiency appears to partially counteract it. We further observe that Confucian culture's restraining influence on greenwashing is more significant in larger, state-owned enterprises located in China's eastern and central regions. However, increased media attention is correlated with more greenwashing behaviors among smaller firms. These findings offer valuable insights, as they support the promotion of Confucian-based management practices, and they also back the transition of corporations toward genuinely green transformations.
{"title":"Does Confucian culture inhibit corporate greenwashing behavior? Evidence from China","authors":"Xintong Wu","doi":"10.1016/j.seps.2025.102218","DOIUrl":"10.1016/j.seps.2025.102218","url":null,"abstract":"<div><div>With the accelerating global pursuit of sustainable development gaining unprecedented traction, the practice of corporate greenwashing has become a significant restraining factor on developing the green economy. This article selects data from A-share listed companies to study how Confucian culture affects corporate greenwashing behaviors and the mechanisms. The findings of this study indicate that Confucian culture significantly inhibits corporate greenwashing behaviors. This cultural influence appears to function, as it increases media scrutiny and encourages ESG activism among institutional investors. Government environmental regulations amplify this effect, while a company's innovation efficiency appears to partially counteract it. We further observe that Confucian culture's restraining influence on greenwashing is more significant in larger, state-owned enterprises located in China's eastern and central regions. However, increased media attention is correlated with more greenwashing behaviors among smaller firms. These findings offer valuable insights, as they support the promotion of Confucian-based management practices, and they also back the transition of corporations toward genuinely green transformations.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102218"},"PeriodicalIF":6.2,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855501","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}
Pub Date : 2025-04-16DOI: 10.1016/j.seps.2025.102223
Yu Zhu , Dawei Wang
This study employs Data Envelopment Analysis (DEA) to assess international trade efficiency, incorporating carbon dioxide emissions as an undesirable output and addressing biases in previous assessments that overlooked emissions embodied in trade. The model introduces three distinct strategic objectives: a trade priority, an environmental priority, and a balanced approach between trade and environmental concerns. The proposed framework is then applied to a sample of 42 economies.
Trade efficiency is a crucial economic measure, as it reflects an economy's capacity to maximize productive output while minimizing environmental and resource costs, thereby fostering sustainable economic growth and enhancing global competitiveness. The findings demonstrate that while the Trade Priority Strategy (TPS) yields the lowest overall average efficiency under both constant returns to scale (CRS) and variable returns to scale (VRS) assumptions, the optimal strategy for maximizing efficiency varies significantly across individual economies. Although significant efficiency differences exist across the 42 economies, within each economy, the differences in efficiency values and rankings across the three strategies are relatively minor. A comparison between Organisation for Economic Co-operation and Development (OECD) and non-OECD economies reveals that the OECD group demonstrates higher efficiency under all strategies. These results offer valuable insights for policymakers seeking to align trade and environmental policies in pursuit of sustainable development.
{"title":"Assessing trade Efficiency: Insights from trade priority, environmental priority, and balanced strategies","authors":"Yu Zhu , Dawei Wang","doi":"10.1016/j.seps.2025.102223","DOIUrl":"10.1016/j.seps.2025.102223","url":null,"abstract":"<div><div>This study employs Data Envelopment Analysis (DEA) to assess international trade efficiency, incorporating carbon dioxide emissions as an undesirable output and addressing biases in previous assessments that overlooked emissions embodied in trade. The model introduces three distinct strategic objectives: a trade priority, an environmental priority, and a balanced approach between trade and environmental concerns. The proposed framework is then applied to a sample of 42 economies.</div><div>Trade efficiency is a crucial economic measure, as it reflects an economy's capacity to maximize productive output while minimizing environmental and resource costs, thereby fostering sustainable economic growth and enhancing global competitiveness. The findings demonstrate that while the Trade Priority Strategy (TPS) yields the lowest overall average efficiency under both constant returns to scale (CRS) and variable returns to scale (VRS) assumptions, the optimal strategy for maximizing efficiency varies significantly across individual economies. Although significant efficiency differences exist across the 42 economies, within each economy, the differences in efficiency values and rankings across the three strategies are relatively minor. A comparison between Organisation for Economic Co-operation and Development (OECD) and non-OECD economies reveals that the OECD group demonstrates higher efficiency under all strategies. These results offer valuable insights for policymakers seeking to align trade and environmental policies in pursuit of sustainable development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102223"},"PeriodicalIF":6.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855502","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}
Pub Date : 2025-04-14DOI: 10.1016/j.seps.2025.102216
Silvia Baldassarre , Manuel Cavola , Eduardo Pipicelli
The desertification of bank branches, driven by digital transformation, has exacerbated financial exclusion among individuals less keen to adopt digital channels or those living in lower-income and less densely populated regions. In this scenario, postal operators have emerged as main competitors in providing physical and face-to-face financial services in areas without a banking presence, leveraging their capillary network of post offices. In this work, we propose a mathematical model to support postal providers in decision-making concerning the network design for consulting services. The model aims to maximize the attracted demand of customers who are financially excluded due to branch closures, by identifying the best locations among post offices where to activate consulting services and planning the availability in terms of time windows. The model has been applied to the rural areas of the Campania region in southern Italy, where bank branch closures have significantly impacted customers’ access to banking services. The results demonstrate that the model can effectively support the consulting network design process, offering an effective framework for making appropriate decisions based on preferred provision policy.
{"title":"Bank branch desertification and the design of a postal banking network","authors":"Silvia Baldassarre , Manuel Cavola , Eduardo Pipicelli","doi":"10.1016/j.seps.2025.102216","DOIUrl":"10.1016/j.seps.2025.102216","url":null,"abstract":"<div><div>The desertification of bank branches, driven by digital transformation, has exacerbated financial exclusion among individuals less keen to adopt digital channels or those living in lower-income and less densely populated regions. In this scenario, postal operators have emerged as main competitors in providing physical and face-to-face financial services in areas without a banking presence, leveraging their capillary network of post offices. In this work, we propose a mathematical model to support postal providers in decision-making concerning the network design for consulting services. The model aims to maximize the attracted demand of customers who are financially excluded due to branch closures, by identifying the best locations among post offices where to activate consulting services and planning the availability in terms of time windows. The model has been applied to the rural areas of the Campania region in southern Italy, where bank branch closures have significantly impacted customers’ access to banking services. The results demonstrate that the model can effectively support the consulting network design process, offering an effective framework for making appropriate decisions based on preferred provision policy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102216"},"PeriodicalIF":6.2,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860644","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}
Pub Date : 2025-04-11DOI: 10.1016/j.seps.2025.102222
Fuguo Cao , Yusen Yang , Shaobo Guo , Andrea Appolloni
This study explores the optimal combination of government technological innovation policies by examining the interaction between government procurement and R&D subsidies in China. Recognizing the critical role of policy balance in enhancing innovation outcomes among companies, we investigate the effectiveness and efficiency of aligning these two policy instruments. Utilizing a two-party evolutionary game model, we analyze the strategic interactions between local governments and publicly listed companies (PLCs). Our numerical simulations and sensitivity analyses indicate that overreliance on R&D subsidies is suboptimal. Specifically, we find that PLCs—whether actively or passively engaged in innovation—respond more significantly to increases in government procurement than to R&D subsidies. When the value of government procurement surpasses that of R&D subsidies, a combination of both policies more effectively and efficiently stimulates PLCs innovation. Notably, government procurement can rapidly initiate PLCs’ innovation behavior in the early stages, reflecting its significant role in boosting innovation activity in the short term. These findings suggest that policymakers should recalibrate the innovation policy mix by emphasizing demand-side policies like government procurement and reducing reliance on R&D subsidies. This rebalancing is particularly crucial for economies like China, where there is a historical dependence on subsidies, to foster sustainable innovation growth.
{"title":"Towards an optimal effect of government technology innovation policy mix: the case of government procurement and research and development subsidies with evidence from China","authors":"Fuguo Cao , Yusen Yang , Shaobo Guo , Andrea Appolloni","doi":"10.1016/j.seps.2025.102222","DOIUrl":"10.1016/j.seps.2025.102222","url":null,"abstract":"<div><div>This study explores the optimal combination of government technological innovation policies by examining the interaction between government procurement and R&D subsidies in China. Recognizing the critical role of policy balance in enhancing innovation outcomes among companies, we investigate the effectiveness and efficiency of aligning these two policy instruments. Utilizing a two-party evolutionary game model, we analyze the strategic interactions between local governments and publicly listed companies (PLCs). Our numerical simulations and sensitivity analyses indicate that overreliance on R&D subsidies is suboptimal. Specifically, we find that PLCs—whether actively or passively engaged in innovation—respond more significantly to increases in government procurement than to R&D subsidies. When the value of government procurement surpasses that of R&D subsidies, a combination of both policies more effectively and efficiently stimulates PLCs innovation. Notably, government procurement can rapidly initiate PLCs’ innovation behavior in the early stages, reflecting its significant role in boosting innovation activity in the short term. These findings suggest that policymakers should recalibrate the innovation policy mix by emphasizing demand-side policies like government procurement and reducing reliance on R&D subsidies. This rebalancing is particularly crucial for economies like China, where there is a historical dependence on subsidies, to foster sustainable innovation growth.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102222"},"PeriodicalIF":6.2,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870594","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}
Pub Date : 2025-04-10DOI: 10.1016/j.seps.2025.102221
Leandro Arthur Vieira Vaz , Hamilcar José Almeida Filgueira , Eliamin Eldan Queiroz Rosendo , Richarde Marques da Silva , Celso Augusto Guimarães Santos
Drought vulnerability remains a critical yet underexplored issue in the Brazilian semiarid region, particularly in Paraíba state. This study introduces a novel methodology that integrates the Analytic Hierarchy Process (AHP) and Fuzzy Logic to assess drought vulnerability across the region. A script was specifically developed to implement this approach, assigning weights to 20 variables distributed across three key indicators: Exposure, Sensitivity, and Adaptive Capacity. The analysis identified Sumé as the most vulnerable municipality, with a vulnerability index of 0.5792, while Princesa Isabel and Cajazeiras exhibited the lowest vulnerability, both with an index of 0.5000. The integration of AHP and Fuzzy Logic not only quantifies drought vulnerability but also effectively captures uncertainties associated with socioeconomic factors and climatic variability. The findings highlight the robustness of this methodology in supporting decision-making processes for disaster management and prevention, demonstrating its potential applicability in similar contexts worldwide.
{"title":"A novel integration of analytic hierarchy process and fuzzy logic to evaluate drought vulnerability in a semiarid region","authors":"Leandro Arthur Vieira Vaz , Hamilcar José Almeida Filgueira , Eliamin Eldan Queiroz Rosendo , Richarde Marques da Silva , Celso Augusto Guimarães Santos","doi":"10.1016/j.seps.2025.102221","DOIUrl":"10.1016/j.seps.2025.102221","url":null,"abstract":"<div><div>Drought vulnerability remains a critical yet underexplored issue in the Brazilian semiarid region, particularly in Paraíba state. This study introduces a novel methodology that integrates the Analytic Hierarchy Process (AHP) and Fuzzy Logic to assess drought vulnerability across the region. A script was specifically developed to implement this approach, assigning weights to 20 variables distributed across three key indicators: Exposure, Sensitivity, and Adaptive Capacity. The analysis identified Sumé as the most vulnerable municipality, with a vulnerability index of 0.5792, while Princesa Isabel and Cajazeiras exhibited the lowest vulnerability, both with an index of 0.5000. The integration of AHP and Fuzzy Logic not only quantifies drought vulnerability but also effectively captures uncertainties associated with socioeconomic factors and climatic variability. The findings highlight the robustness of this methodology in supporting decision-making processes for disaster management and prevention, demonstrating its potential applicability in similar contexts worldwide.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102221"},"PeriodicalIF":6.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844949","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}
Pub Date : 2025-04-08DOI: 10.1016/j.seps.2025.102206
Giovanna D’Inverno , Cristina Polo , Gabriela Sicilia , Rosa Simancas
Educational equity is a key tool to promote countries’ social and economic development and has become a central issue in international policy agendas. Since equity is multidimensional in nature and a complex process, a proper assessment of performance in terms of equity is a demanding task that requires aggregating several individual indicators to obtain a synthetic and simplified vision. This research aim to fill this gap by providing a synthetic measure to carry out a comprehensive and fair comparison of the degree of equity of the OECD educational systems. In particular, we use a robust directional Benefit of the Doubt (BoD) model to construct an Equity Composite Indicator, which allows us to benchmark the OECD educational systems in terms of equity based on a single criterion, considering its multiple dimensions and respecting the different priorities and particularities of the educational systems. The results find significant differences in equity among OECD educational systems. Furthermore, the empirical analysis reinforces the hypothesis that educational equity is a multidimensional concept, requiring the inclusion of all dimensions in the comparative analysis. This research provides a new approach that can be used not only to assess the evolution of educational equity across countries, but also to model its relationship with other economic variables. The proposed model could be useful in helping policymakers understand and improve educational equity in practice, as well as evaluate the impact of public policies.
{"title":"International differences in educational equity: An assessment using the Benefit of the Doubt model","authors":"Giovanna D’Inverno , Cristina Polo , Gabriela Sicilia , Rosa Simancas","doi":"10.1016/j.seps.2025.102206","DOIUrl":"10.1016/j.seps.2025.102206","url":null,"abstract":"<div><div>Educational equity is a key tool to promote countries’ social and economic development and has become a central issue in international policy agendas. Since equity is multidimensional in nature and a complex process, a proper assessment of performance in terms of equity is a demanding task that requires aggregating several individual indicators to obtain a synthetic and simplified vision. This research aim to fill this gap by providing a synthetic measure to carry out a comprehensive and fair comparison of the degree of equity of the OECD educational systems. In particular, we use a robust directional Benefit of the Doubt (BoD) model to construct an Equity Composite Indicator, which allows us to benchmark the OECD educational systems in terms of equity based on a single criterion, considering its multiple dimensions and respecting the different priorities and particularities of the educational systems. The results find significant differences in equity among OECD educational systems. Furthermore, the empirical analysis reinforces the hypothesis that educational equity is a multidimensional concept, requiring the inclusion of all dimensions in the comparative analysis. This research provides a new approach that can be used not only to assess the evolution of educational equity across countries, but also to model its relationship with other economic variables. The proposed model could be useful in helping policymakers understand and improve educational equity in practice, as well as evaluate the impact of public policies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102206"},"PeriodicalIF":6.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800661","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}
Pub Date : 2025-04-07DOI: 10.1016/j.seps.2025.102215
Zhongcheng Cai , Yong Liu , Ye Shen , Martin Skitmore , Shiwang Yu
The rapid urbanisation in China has substantially increased municipal waste generation, with biowaste comprising the largest portion. Due to its high organic content, biowaste can be recycled or incinerated to produce bioenergy, making incineration a predominant waste treatment method. However, biowaste incineration facilities have often raised community-level concerns due to worries about environmental pollution and public health risks. These issues are typically classified as “Not In My Backyard” (NIMBY) conflicts in public management. Despite the prominence of these conflicts, research lacks a comprehensive examination of their key driving factors. This study addresses this gap by systematically investigating the primary risk factors underlying NIMBY incidents associated with biowaste incineration infrastructure.
A hybrid model combining the Decision-Making and Trial Evaluation Laboratory (DEMATEL), Interpretative Structural Modelling Method (ISM) and Bayesian Network (BN) was applied to conduct causation chain and sensitivity analyses, enabling the identification of critical risk factors. The results reveal that insufficient public participation, inadequate information transparency and misaligned risk perceptions are the primary contributors to NIMBY conflicts. Strategic solutions are proposed for governments and infrastructure enterprises to address these issues, including enhancing public engagement, improving information disclosure and implementing effective risk communication strategies. These measures aim to mitigate NIMBY conflicts, foster social harmony and facilitate the implementation of essential infrastructure projects.
This study enhances the understanding of NIMBY conflicts by systematically identifying and analysing the key risk factors specific to biowaste incineration infrastructure, an area that has been underexplored in existing research. Additionally, the use of the DEMATEL-ISM-BN hybrid model introduces a significant methodological innovation, facilitating a comprehensive examination of causality, hierarchical structures, and probabilistic relationships among these risk factors.
{"title":"Addressing community oppositions in biowaste incineration infrastructure: Key factors and strategic solutions for a sustainable circular bioeconomy","authors":"Zhongcheng Cai , Yong Liu , Ye Shen , Martin Skitmore , Shiwang Yu","doi":"10.1016/j.seps.2025.102215","DOIUrl":"10.1016/j.seps.2025.102215","url":null,"abstract":"<div><div>The rapid urbanisation in China has substantially increased municipal waste generation, with biowaste comprising the largest portion. Due to its high organic content, biowaste can be recycled or incinerated to produce bioenergy, making incineration a predominant waste treatment method. However, biowaste incineration facilities have often raised community-level concerns due to worries about environmental pollution and public health risks. These issues are typically classified as “Not In My Backyard” (NIMBY) conflicts in public management. Despite the prominence of these conflicts, research lacks a comprehensive examination of their key driving factors. This study addresses this gap by systematically investigating the primary risk factors underlying NIMBY incidents associated with biowaste incineration infrastructure.</div><div>A hybrid model combining the Decision-Making and Trial Evaluation Laboratory (DEMATEL), Interpretative Structural Modelling Method (ISM) and Bayesian Network (BN) was applied to conduct causation chain and sensitivity analyses, enabling the identification of critical risk factors. The results reveal that insufficient public participation, inadequate information transparency and misaligned risk perceptions are the primary contributors to NIMBY conflicts. Strategic solutions are proposed for governments and infrastructure enterprises to address these issues, including enhancing public engagement, improving information disclosure and implementing effective risk communication strategies. These measures aim to mitigate NIMBY conflicts, foster social harmony and facilitate the implementation of essential infrastructure projects.</div><div>This study enhances the understanding of NIMBY conflicts by systematically identifying and analysing the key risk factors specific to biowaste incineration infrastructure, an area that has been underexplored in existing research. Additionally, the use of the DEMATEL-ISM-BN hybrid model introduces a significant methodological innovation, facilitating a comprehensive examination of causality, hierarchical structures, and probabilistic relationships among these risk factors.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102215"},"PeriodicalIF":6.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814767","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}
Pub Date : 2025-04-04DOI: 10.1016/j.seps.2025.102219
Sebastián Lozano , Alejandro Saavedra-Nieves
The aim of this research is to develop a new approach to compute an SDG Composite Index (CI) aggregating the close to one hundred indicators compiled by the Sustainable Development Report (SDR). These indicators have a hierarchical structure based on the 17 SDGs. The proposed approach formulates a Common Weights Hierarchical Data Envelopment Analysis (CWH-DEA) model that allows defining a Transferable Utility (TU) game with a priori unions. The associated game belongs to the class of Airport games, for which the Owen value is used to compute the contribution of each index to the aggregate performance index. Allocating these contributions allows computing an SDG composite index for each country. The proposed approach does not require establishing a priori bounds on the importance of the different indicators or group of indicators and has been applied to 167 countries using the most recent SDR 2024 data with the corresponding results analysed and discussed. Besides, the proposed approach has been able to endogenously determine the contribution of each of the 98 indicators considered, leading to a rather balanced share distribution by SDG group. The proposed SDG CI is highly correlated with the SDG Index, identifying the OECD as the region with the highest SDG performance, followed by Eastern Europe and Central Asia, while the Middle East and North Africa, Oceania and, especially, Sub-Saharan Africa fall below the World average.
{"title":"An SDG composite index based on Hierarchical DEA and Cooperative Game Theory","authors":"Sebastián Lozano , Alejandro Saavedra-Nieves","doi":"10.1016/j.seps.2025.102219","DOIUrl":"10.1016/j.seps.2025.102219","url":null,"abstract":"<div><div>The aim of this research is to develop a new approach to compute an SDG Composite Index (CI) aggregating the close to one hundred indicators compiled by the Sustainable Development Report (SDR). These indicators have a hierarchical structure based on the 17 SDGs. The proposed approach formulates a Common Weights Hierarchical Data Envelopment Analysis (CWH-DEA) model that allows defining a Transferable Utility (TU) game with a priori unions. The associated game belongs to the class of Airport games, for which the Owen value is used to compute the contribution of each index to the aggregate performance index. Allocating these contributions allows computing an SDG composite index for each country. The proposed approach does not require establishing a priori bounds on the importance of the different indicators or group of indicators and has been applied to 167 countries using the most recent SDR 2024 data with the corresponding results analysed and discussed. Besides, the proposed approach has been able to endogenously determine the contribution of each of the 98 indicators considered, leading to a rather balanced share distribution by SDG group. The proposed SDG CI is highly correlated with the SDG Index, identifying the OECD as the region with the highest SDG performance, followed by Eastern Europe and Central Asia, while the Middle East and North Africa, Oceania and, especially, Sub-Saharan Africa fall below the World average.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"99 ","pages":"Article 102219"},"PeriodicalIF":6.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143814851","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}
Pub Date : 2025-04-04DOI: 10.1016/j.seps.2025.102214
Jie Jin , Xinyue Ren , Xunzhuo Xi , Qiuhong Zhao
Subsidies (carrot) and supervision (stick) are effective ways to enhance the operational stability and efficiency of the centralized third-party governance model for non-scale farming waste in rural areas. However, the specific scenarios in which these methods are applicable still require further exploration, particularly when considering factors such as regional ecological carrying capacity, farming scale, and variations in the geographical distribution of farmers. From that specific perspective, this paper constructs an evolutionary game model to reflect the interaction relationships among farmers, third-party enterprises, and the government. Based on this model, this paper first investigates the influencing factors and evolutionary paths of strategy selection by the three parties. Second, by combining the model with the simulation analysis results, the authors explain the stability conditions of the equilibrium solutions for each party's strategy. Finally, according to the natural resource endowment and actual agricultural production situations in different regions, this paper provides applicable scenarios for different regulatory strategies and subsidy schemes. The results of this paper indicate that: ① in regions characterized by a low concentration of farming, small farming scale, and high costs of government involvement in supervision, the government should give acquisition subsidies to farmers and investment subsidies for the third-party enterprise, so as to attract various entities to participate in waste management. ② In regions characterized by high farming concentration, large farming scale, and low costs of government involvement in supervision, the government should adopt a combination of supervision and subsidies, so as to promote the stable operation of the third-party management model. ③ In terms of encouraging farmers to comply with waste disposal regulations, the two strategies of subsidy and supervision (i.e., carrot and stick) have a certain degree of substitution. The government should choose supervision or subsidy strategies according to regional factors, such as the concentration of farming, the ecological carrying capacity, and transportation costs. ④ In all scenarios, the total cost of subsidies and supervision for government participation in third-party centralized waste treatment is lower than the environmental losses and political performance losses caused by unregulated waste discharge. The results of this paper provide theoretical support for government participation in environmental governance, while also providing an investment reference for enterprises.
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