Pub Date : 2026-04-01Epub Date: 2025-11-22DOI: 10.1016/j.seps.2025.102388
Corrado Andini , Pedro Telhado Pereira
One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.
{"title":"On education as a risky asset: Should the government help the working students?","authors":"Corrado Andini , Pedro Telhado Pereira","doi":"10.1016/j.seps.2025.102388","DOIUrl":"10.1016/j.seps.2025.102388","url":null,"abstract":"<div><div>One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102388"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683317","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 : 2026-04-01Epub Date: 2025-12-01DOI: 10.1016/j.seps.2025.102395
Hongyan Li , Dongmei Yu , Mengyuan Zhang
The growing complexity of disasters originating from natural phenomena, compounded by cascading uncertainty, necessitates resilient emergency facilities location planning to enhance response capabilities. To address this challenge, this study proposes a novel “reinforcement-cascading uncertainty-recovery” framework to enhance system resilience. This framework specifically addresses the cascading effect propagation mechanism (CEPM) from supply-side facility disruptions to demand-side nodes, by integrating pre-disaster reinforcement with post-disaster coordinated response. Based on this framework, we develop a two-stage robust optimization model to jointly optimize facility location, structural reinforcement, and resource allocation decisions. A distinctive feature of our model is the decision-dependent uncertainty set, which captures the endogenous effect of reinforcement strategy on facility disruptions, and the cascading effect of facility disruptions on demand fluctuations. To solve the proposed model, we develop a hybrid methodology by combining a neutralization-based uncertainty transformation method with the column and constraint generation (C&CG) algorithm to reformulate and solve the model. Through the earthquake case in Istanbul, we quantify the effect of reinforcement strategy on network resilience, conduct sensitivity analyses on key parameters, and derive critical managerial insights. Our results indicate that, in comparison to the baseline model without reinforcement strategy, the proposed model reduces the number of facilities that need to be opened by approximately 50% while maintaining the desired service level. These findings provide decision-makers with a practical and efficient strategy for enhancing disaster response capabilities under cascading uncertainty.
{"title":"Resilient emergency facilities location–allocation under cascading uncertainty: A two-stage robust optimization model","authors":"Hongyan Li , Dongmei Yu , Mengyuan Zhang","doi":"10.1016/j.seps.2025.102395","DOIUrl":"10.1016/j.seps.2025.102395","url":null,"abstract":"<div><div>The growing complexity of disasters originating from natural phenomena, compounded by cascading uncertainty, necessitates resilient emergency facilities location planning to enhance response capabilities. To address this challenge, this study proposes a novel “reinforcement-cascading uncertainty-recovery” framework to enhance system resilience. This framework specifically addresses the cascading effect propagation mechanism (CEPM) from supply-side facility disruptions to demand-side nodes, by integrating pre-disaster reinforcement with post-disaster coordinated response. Based on this framework, we develop a two-stage robust optimization model to jointly optimize facility location, structural reinforcement, and resource allocation decisions. A distinctive feature of our model is the decision-dependent uncertainty set, which captures the endogenous effect of reinforcement strategy on facility disruptions, and the cascading effect of facility disruptions on demand fluctuations. To solve the proposed model, we develop a hybrid methodology by combining a neutralization-based uncertainty transformation method with the column and constraint generation (C&CG) algorithm to reformulate and solve the model. Through the earthquake case in Istanbul, we quantify the effect of reinforcement strategy on network resilience, conduct sensitivity analyses on key parameters, and derive critical managerial insights. Our results indicate that, in comparison to the baseline model without reinforcement strategy, the proposed model reduces the number of facilities that need to be opened by approximately 50% while maintaining the desired service level. These findings provide decision-makers with a practical and efficient strategy for enhancing disaster response capabilities under cascading uncertainty.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102395"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683315","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 : 2026-04-01Epub Date: 2025-11-22DOI: 10.1016/j.seps.2025.102387
Bastian Krieger , Stefania Scrofani , Linus Strecke
This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.
{"title":"Firms’ disclosure of university ties on their website: An explorative analysis of its role for innovation performance","authors":"Bastian Krieger , Stefania Scrofani , Linus Strecke","doi":"10.1016/j.seps.2025.102387","DOIUrl":"10.1016/j.seps.2025.102387","url":null,"abstract":"<div><div>This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102387"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737727","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 : 2026-04-01Epub Date: 2025-12-23DOI: 10.1016/j.seps.2025.102409
Matheus Pereira Libório, Helena Teixeira Magalhães Soares, Caio Cesar Soares Gonçalves, Marcos Flávio Silveira Vasconcelos D'Angelo, Petr Iakovlevitch Ekel
This study examines the concept of multidimensional welfare, which encompasses multiple aspects across various dimensions. The study introduces an approach that combines ranking normalization, structural equation modeling, and a new method for constructing composite indicators. This approach enables improved differentiation of welfare levels, confirming the multidimensional nature of welfare and representing it through a readily understandable unidimensional measure. This innovative approach fills a gap in methodologies by considering the interrelationships between dimensions, avoiding aggregating dimensions that carry little information into the composite indicator, ensuring the composite indicator's multidimensionality, and avoiding making it predominantly explained by a single dimension. Other advantages of this approach include a rigorous explanation of the conceptual framework of multidimensional welfare, avoiding the assignment of equal weights to the dimensions due to the lack of a clear and consistent weighting scheme, and providing transparency in the objective definition of dimension weights. The results indicate that government efforts to provide social services and protection are insufficient to improve welfare levels in the poorest municipalities. Governments should not allocate resources solely to social assistance and protection; instead, they should generate employment and income opportunities and promote digital inclusion, leisure, culture, and sports. In addition to contributing to the welfare literature and informing the formulation of more effective social policies, this study advances the composite indicators literature by offering an innovative weighting scheme that ensures conceptual compatibility and preserves the composite's multidimensionality.
{"title":"Capturing and representing the multidimensionality of welfare through structural equation modeling and a goal-based composite indicator with multiple constraints","authors":"Matheus Pereira Libório, Helena Teixeira Magalhães Soares, Caio Cesar Soares Gonçalves, Marcos Flávio Silveira Vasconcelos D'Angelo, Petr Iakovlevitch Ekel","doi":"10.1016/j.seps.2025.102409","DOIUrl":"10.1016/j.seps.2025.102409","url":null,"abstract":"<div><div>This study examines the concept of multidimensional welfare, which encompasses multiple aspects across various dimensions. The study introduces an approach that combines ranking normalization, structural equation modeling, and a new method for constructing composite indicators. This approach enables improved differentiation of welfare levels, confirming the multidimensional nature of welfare and representing it through a readily understandable unidimensional measure. This innovative approach fills a gap in methodologies by considering the interrelationships between dimensions, avoiding aggregating dimensions that carry little information into the composite indicator, ensuring the composite indicator's multidimensionality, and avoiding making it predominantly explained by a single dimension. Other advantages of this approach include a rigorous explanation of the conceptual framework of multidimensional welfare, avoiding the assignment of equal weights to the dimensions due to the lack of a clear and consistent weighting scheme, and providing transparency in the objective definition of dimension weights. The results indicate that government efforts to provide social services and protection are insufficient to improve welfare levels in the poorest municipalities. Governments should not allocate resources solely to social assistance and protection; instead, they should generate employment and income opportunities and promote digital inclusion, leisure, culture, and sports. In addition to contributing to the welfare literature and informing the formulation of more effective social policies, this study advances the composite indicators literature by offering an innovative weighting scheme that ensures conceptual compatibility and preserves the composite's multidimensionality.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102409"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839907","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 : 2026-04-01Epub Date: 2025-11-13DOI: 10.1016/j.seps.2025.102382
Shiqing Liu , Minyi He , Qian Zhou , Jun Ma , Zhen Zhao
The primary challenge in China's university technology transfer ecosystem lies in the misalignment between technological achievement supply and market demand. Compounded by regional economic disparities across China's vast territory, significant variations exist in technology transfer performance among universities in different geographical areas. This study employs DEAP2.1 software to implement both the BCC model and the Malmquist index method, enabling comprehensive static and dynamic efficiency evaluations of decision-making units (DMUs) - an innovative approach that addresses current research gaps. Focusing on 31 Chinese mainland regions categorized into four economic zones (eastern, central, western, and northeastern), our analysis reveals the eastern region demonstrates superior supply-demand matching efficiency, while central and western regions exhibit suboptimal resource allocation and lagging technological advancement. Most regions require substantial improvement in technological innovation capacity on the demand side. These findings suggest the need for region-specific policy interventions: Eastern regions may benefit from optimization strategies, whereas central and western regions require transformative policies emphasizing resource reallocation and innovation enhancement. This research contributes both theoretical and practical insights for improving China's technology transfer effectiveness, while offering valuable implications for other economies facing similar developmental challenges.
{"title":"Research on the efficiency of technology transfer in Chinese universities from the perspective of supply and demand","authors":"Shiqing Liu , Minyi He , Qian Zhou , Jun Ma , Zhen Zhao","doi":"10.1016/j.seps.2025.102382","DOIUrl":"10.1016/j.seps.2025.102382","url":null,"abstract":"<div><div>The primary challenge in China's university technology transfer ecosystem lies in the misalignment between technological achievement supply and market demand. Compounded by regional economic disparities across China's vast territory, significant variations exist in technology transfer performance among universities in different geographical areas. This study employs DEAP2.1 software to implement both the BCC model and the Malmquist index method, enabling comprehensive static and dynamic efficiency evaluations of decision-making units (DMUs) - an innovative approach that addresses current research gaps. Focusing on 31 Chinese mainland regions categorized into four economic zones (eastern, central, western, and northeastern), our analysis reveals the eastern region demonstrates superior supply-demand matching efficiency, while central and western regions exhibit suboptimal resource allocation and lagging technological advancement. Most regions require substantial improvement in technological innovation capacity on the demand side. These findings suggest the need for region-specific policy interventions: Eastern regions may benefit from optimization strategies, whereas central and western regions require transformative policies emphasizing resource reallocation and innovation enhancement. This research contributes both theoretical and practical insights for improving China's technology transfer effectiveness, while offering valuable implications for other economies facing similar developmental challenges.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102382"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683318","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 : 2026-04-01Epub Date: 2025-12-24DOI: 10.1016/j.seps.2025.102410
Jiqiang Zhao , Lijun Cheng , Xianhua Wu
Sustainable agricultural systems are crucial for balancing food security and ecological protection. This study develops a two-stage inverse network data envelopment analysis (DEA) model that incorporates shared inputs and undesirable outputs to evaluate and optimize resource allocation in agricultural production and pollution control. Using data from 31 Chinese provinces (2010–2023), the model estimates optimal resource allocation strategies under constant-efficiency and efficiency-improvement scenarios. Results indicate that although system efficiency is generally improving, notable regional disparities remain. Under constant efficiency, achieving a 5 % output increase requires substantial input growth, particularly in pesticides, whereas efficiency improvement reduces overall inputs by an average of 5.84 %, indicating the role of technological progress in resource conservation. The proposed framework represents a dynamic and practical tool for policymakers to design targeted, forward-looking strategies for sustainable agriculture.
{"title":"Optimal resource allocation estimation of agricultural sustainable systems based on inverse network DEA","authors":"Jiqiang Zhao , Lijun Cheng , Xianhua Wu","doi":"10.1016/j.seps.2025.102410","DOIUrl":"10.1016/j.seps.2025.102410","url":null,"abstract":"<div><div>Sustainable agricultural systems are crucial for balancing food security and ecological protection. This study develops a two-stage inverse network data envelopment analysis (DEA) model that incorporates shared inputs and undesirable outputs to evaluate and optimize resource allocation in agricultural production and pollution control. Using data from 31 Chinese provinces (2010–2023), the model estimates optimal resource allocation strategies under constant-efficiency and efficiency-improvement scenarios. Results indicate that although system efficiency is generally improving, notable regional disparities remain. Under constant efficiency, achieving a 5 % output increase requires substantial input growth, particularly in pesticides, whereas efficiency improvement reduces overall inputs by an average of 5.84 %, indicating the role of technological progress in resource conservation. The proposed framework represents a dynamic and practical tool for policymakers to design targeted, forward-looking strategies for sustainable agriculture.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102410"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839906","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 : 2026-04-01Epub Date: 2025-12-28DOI: 10.1016/j.seps.2025.102412
Xingjie Yang , Yihang Hu , Huseyin Caliskan , Zhenhong Qi , Qiang Liu
Despite growing emphasis on ecological agriculture, limited attention has been examined how labor endowment and productive services to shape farmers' adoption decisions. This study investigates the synergistic role of labor endowment and productive services in adopting the rice-crayfish co-culture model, using 2023 survey data from small-scale farmers in the middle and lower reaches of the Yangtze River. The results show that labor endowment is a key driver of adoption. Both labor quantity and labor quality increase the likelihood of adoption, by 17.5 % and 3.1 % per additional unit, respectively. Productive services further strengthen these effects. Seedling provision and agricultural supply services mainly amplify the effect of labor quality endowment, while planting and disease prevention services reinforce the overall influence of labor endowment. Marketing services play a distinctive role in enhancing the contribution of labor quality to adoption behavior. Heterogeneity analysis reveals that the positive impact of labor endowment is considerably stronger among production oriented farmers, new business subjects, large-scale grain growers, and farmers with better cultivated land conditions than among subsistence and small-scale farmers. Mechanism analysis shows that labor endowment promotes adoption mainly by improving farmers' ability to learn and master ecological production technologies. The study advances theoretical understanding by demonstrating that productive services in complex ecological agricultural systems operate under a complementarity logic, rather than functioning as substitutes for household labor. These findings provide new empirical evidence on the multidimensional mechanisms linking labor endowment, service provision, and ecological technology adoption.
{"title":"Labor endowment, productive services and farmers' adoption of ecological agriculture: Taking rice-crayfish co-culture model as an example","authors":"Xingjie Yang , Yihang Hu , Huseyin Caliskan , Zhenhong Qi , Qiang Liu","doi":"10.1016/j.seps.2025.102412","DOIUrl":"10.1016/j.seps.2025.102412","url":null,"abstract":"<div><div>Despite growing emphasis on ecological agriculture, limited attention has been examined how labor endowment and productive services to shape farmers' adoption decisions. This study investigates the synergistic role of labor endowment and productive services in adopting the rice-crayfish co-culture model, using 2023 survey data from small-scale farmers in the middle and lower reaches of the Yangtze River. The results show that labor endowment is a key driver of adoption. Both labor quantity and labor quality increase the likelihood of adoption, by 17.5 % and 3.1 % per additional unit, respectively. Productive services further strengthen these effects. Seedling provision and agricultural supply services mainly amplify the effect of labor quality endowment, while planting and disease prevention services reinforce the overall influence of labor endowment. Marketing services play a distinctive role in enhancing the contribution of labor quality to adoption behavior. Heterogeneity analysis reveals that the positive impact of labor endowment is considerably stronger among production oriented farmers, new business subjects, large-scale grain growers, and farmers with better cultivated land conditions than among subsistence and small-scale farmers. Mechanism analysis shows that labor endowment promotes adoption mainly by improving farmers' ability to learn and master ecological production technologies. The study advances theoretical understanding by demonstrating that productive services in complex ecological agricultural systems operate under a complementarity logic, rather than functioning as substitutes for household labor. These findings provide new empirical evidence on the multidimensional mechanisms linking labor endowment, service provision, and ecological technology adoption.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102412"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884087","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 : 2026-04-01Epub Date: 2025-12-01DOI: 10.1016/j.seps.2025.102402
Ali Emrouznejad, Dima Rachid Jamali, Panagiotis D. Zervopoulos
{"title":"Special issue on analytical models and AI for sustainable development – Enhancing decision-making","authors":"Ali Emrouznejad, Dima Rachid Jamali, Panagiotis D. Zervopoulos","doi":"10.1016/j.seps.2025.102402","DOIUrl":"10.1016/j.seps.2025.102402","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102402"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173226","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}
The real estate industry encompasses sequential sub-processes in operations, including land acquisition, house construction, and house sales and rentals. Investigating the sub-process structure of real estate operations is essential to demystifying and improving the overall operational performance. This study proposes an additive network DEA model to estimate the process-oriented performance of urban real estate operations and capture hidden sub-process performance. The sequential linear programming method is used to address the model's nonlinearity. We further explore the impact of operational performance on housing prices to identify the main underlying driver of China's booming real estate market. The proposed model is applied to assess the operational performance of Chinese urban real estate markets over the past decade. The empirical findings reveal that: (1) performance losses may stem from weaknesses in the housing construction process, with significant improvement potential in overall operational and sub-process performance in most cities. (2) Enhanced performance in the construction process can fuel short-term housing prices increases during market booms. (3) Higher real estate operational performance may initially raise housing prices but ultimately inhibit them in the long term due to limited market demand. Our proposed method framework proves to be an effective tool for policymakers to design wise operational plans for improving real estate operational performance.
{"title":"Operational performance of urban real estate in China: An additive network DEA model","authors":"Hao Zhang , Wattanaporn Nalinrat , Rong Xiang , Anyu Yu , Yue Gao","doi":"10.1016/j.seps.2025.102414","DOIUrl":"10.1016/j.seps.2025.102414","url":null,"abstract":"<div><div>The real estate industry encompasses sequential sub-processes in operations, including land acquisition, house construction, and house sales and rentals. Investigating the sub-process structure of real estate operations is essential to demystifying and improving the overall operational performance. This study proposes an additive network DEA model to estimate the process-oriented performance of urban real estate operations and capture hidden sub-process performance. The sequential linear programming method is used to address the model's nonlinearity. We further explore the impact of operational performance on housing prices to identify the main underlying driver of China's booming real estate market. The proposed model is applied to assess the operational performance of Chinese urban real estate markets over the past decade. The empirical findings reveal that: (1) performance losses may stem from weaknesses in the housing construction process, with significant improvement potential in overall operational and sub-process performance in most cities. (2) Enhanced performance in the construction process can fuel short-term housing prices increases during market booms. (3) Higher real estate operational performance may initially raise housing prices but ultimately inhibit them in the long term due to limited market demand. Our proposed method framework proves to be an effective tool for policymakers to design wise operational plans for improving real estate operational performance.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102414"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976771","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 : 2026-04-01Epub Date: 2025-12-08DOI: 10.1016/j.seps.2025.102406
Aysu Ozel , Karen Smilowitz
In transportation and logistics problems, such as the traveling salesman problem or the vehicle routing problem, the geographic distribution of nodes can significantly impact both the solutions obtained and the performance of solution approaches. Therefore, it is common for researchers to share test instances for meaningful comparisons. In some contexts, this is more challenging when data are protected and cannot be shared. This is particularly true for transportation and logistics problems found in public school operations. Despite growing literature, proposed models and solution approaches are rarely compared across papers because data protection regulations prohibit sharing data. At the same time, randomly generated data can miss critical patterns existing in reality that may impact equitable access to education. In this paper, we introduce a framework to create context-rich data sets for school operations models and methods based on publicly available data that reflect public school district characteristics in the United States.
{"title":"Context-rich data sets for school operations models and methods","authors":"Aysu Ozel , Karen Smilowitz","doi":"10.1016/j.seps.2025.102406","DOIUrl":"10.1016/j.seps.2025.102406","url":null,"abstract":"<div><div>In transportation and logistics problems, such as the traveling salesman problem or the vehicle routing problem, the geographic distribution of nodes can significantly impact both the solutions obtained and the performance of solution approaches. Therefore, it is common for researchers to share test instances for meaningful comparisons. In some contexts, this is more challenging when data are protected and cannot be shared. This is particularly true for transportation and logistics problems found in public school operations. Despite growing literature, proposed models and solution approaches are rarely compared across papers because data protection regulations prohibit sharing data. At the same time, randomly generated data can miss critical patterns existing in reality that may impact equitable access to education. In this paper, we introduce a framework to create context-rich data sets for school operations models and methods based on publicly available data that reflect public school district characteristics in the United States.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102406"},"PeriodicalIF":5.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790383","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}
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