Paolo Coccorese , Roberto Dell’Anno , Marialuisa Restaino
{"title":"Are outstanding researchers also top teachers? Exploring the link between research quality and teaching quality","authors":"Paolo Coccorese , Roberto Dell’Anno , Marialuisa Restaino","doi":"10.1016/j.seps.2024.102098","DOIUrl":"10.1016/j.seps.2024.102098","url":null,"abstract":"<div><div>We investigate the research-teaching relationship within a medium-sized department of an Italian university. Relying on a large number of student questionnaires over the period from 2017 to 2022, we find that instructors who are active in publishing journal articles are deemed by students to be more clear during lectures, but this perception worsens when professors achieve higher research quality (as measured via international journal rankings) and are used to publishing with many coauthors. Overall, our results point to a positive association between research productivity and teaching quality but also show that teachers pursuing greater research quality may be compelled to neglect teaching, thus highlighting a trade-off between them.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102098"},"PeriodicalIF":6.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Milan Preet Kaur , Jennifer A. Pazour , Rosemonde Ausseil
{"title":"An optimization framework to provide volunteers with task selection autonomy and group opportunities","authors":"Milan Preet Kaur , Jennifer A. Pazour , Rosemonde Ausseil","doi":"10.1016/j.seps.2024.102095","DOIUrl":"10.1016/j.seps.2024.102095","url":null,"abstract":"<div><div>Nonprofit Organizations (NPOs) rely on volunteers to support community needs but struggle with making strategic volunteer-to-task assignments to enable volunteer satisfaction, and completion of complex tasks. Creation of volunteer groups and their assignment to NPO tasks can help achieve these goals by providing volunteers with opportunity for networking, collaboration, and peer learning. However, strategically creating ideal assignments is challenging because (i) there are exponentially many ways a set of volunteers can be assigned in groups; and (ii) NPOs tend to have limited and uncertain data concerning volunteers' personal preferences, availabilities, and motivations to participate. To address these challenges, this research contributes by introducing an integer programming framework to offer volunteers a menu of tasks to choose from and then based on volunteers' willingness information, creates ideal homogenous volunteer group assignments. These groups are created such that the group collectively meet a task's skill requirements and groups of volunteers of similar skill and affinity levels are prioritized. We apply the developed methodology to a case study based on a partner NPO that works with remote volunteers from multiple countries to produce online educational content. The menu creation method can improve NPO and volunteer-based performance metrics, where the most improvement is observed when a NPO is faced with very picky volunteers. Presenting volunteers with larger menus of tasks also leads to an improvement in ideal group creations. Implementing the group creation methodology helps obtain a statistically significant increase in ideal group creations but results in a tradeoff of decreased benefits to volunteers and the NPO. Finally, implementing a minimum desired group size does not severely impact most KPIs and would be beneficial for an NPO to implement as it encourages the creation and assignment of volunteer groups to tasks.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102095"},"PeriodicalIF":6.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578841","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}
Dong Peng , Umar Farooq , Mohammad Mahtab Alam , Khurshid Khudoykulov
{"title":"Exploring the role of governance in determining public-private investment in energy: New empirical insights from ASEAN","authors":"Dong Peng , Umar Farooq , Mohammad Mahtab Alam , Khurshid Khudoykulov","doi":"10.1016/j.seps.2024.102096","DOIUrl":"10.1016/j.seps.2024.102096","url":null,"abstract":"<div><div>The energy sector plays a pivotal role in driving economic growth and enhancing social welfare. However, the mobilization of sufficient investment including public and private remains crucial for advancing energy infrastructure development. Against this backdrop, this study aims to explore the role of governance in determining public-private investment in energy (PPE). The empirical analysis leverages a comprehensive dataset spanning 25 years from 1998 to 2022 and covering ASEAN nations. The study employs the CS-ARDL (cross-sectionally augmented autoregressive distributed lag) model for regression analysis to assess governance dimensions' long-term and short-term effects on PPE. Additionally, the study conducts robustness analysis by using the FMOLS (fully modified ordinary least square) model and an alternative proxy of governance i.e. EFI (economic freedom index) to validate the findings. The analysis reveals that governance exerts a significant and positive effect on PPE. Specifically, the dimensions of governance such as corruption control (COC), government effectiveness, political stability (POS), regulatory quality, etc. demonstrate robust positive associations with PPE. This positive relationship indicates that stronger governance institutions foster transparency, efficiency, and stability in the energy sector, attracting private-sector investments. The findings of this study have significant policy implications for policymakers, investors, and stakeholders seeking to promote sustainable energy transitions and socio-economic development within the ASEAN region. Specifically, it is essential to strengthen governance institutions, enhance regulatory frameworks, and foster public-private partnerships for energy investment. This study contributes to the existing literature by providing novel insights into the governance-energy investment nexus within the ASEAN region.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102096"},"PeriodicalIF":6.2,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536125","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}
{"title":"Optimizing public sector resources: A centralized DEA model for effective allocation of shared inputs","authors":"Sheng-Wei Lin , Wen-Min Lu","doi":"10.1016/j.seps.2024.102094","DOIUrl":"10.1016/j.seps.2024.102094","url":null,"abstract":"<div><div>This study presents a novel centralized Data Envelopment Analysis (DEA) model with shared inputs to optimize the allocation of public sector resources and enhance management efficiency. Recognizing the need for a comprehensive approach to public sector performance evaluation, the study integrates the strengths of the centralized DEA framework and the two-stage DEA model with shared inputs. The centralized DEA model shifts the focus from individual decision-making units to optimizing resources across the entire public sector system. This allows for the reallocation of shared inputs among decision making units, leading to potential efficiency gains and improved overall performance. Incorporating shared inputs within the centralized structure enables a more nuanced understanding of the interdependencies and interactions between distinct functions and stages within the public sector. The empirical application of the proposed model in the context of public sector management and cultural subsidies provides valuable insights. The findings highlight inefficiency and offer guidance for policymakers and administrators on optimizing shared resource use. The centralized DEA model with shared inputs serves as a practical decision-support tool, informing the development of targeted policies and strategies to enhance the efficiency and effectiveness of public service delivery, particularly in resource-constrained environments. This research contributes to public sector performance evaluation's theoretical and methodological advancement, offering a comprehensive framework for resource optimization and improved management practices.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102094"},"PeriodicalIF":6.2,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536123","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}
{"title":"Simulation of migration paths using agent-based modeling: The case of Syrian refugees en route to Turkey","authors":"Özlem Güngör , Dilek Günneç , Sibel Salman , Eda Yücel","doi":"10.1016/j.seps.2024.102089","DOIUrl":"10.1016/j.seps.2024.102089","url":null,"abstract":"<div><div>The decade-long Syrian civil war has triggered a significant migration wave in the Middle East, with Turkey hosting the largest number of Syrian refugees. Our study introduces an agent-based model (ABM) designed to simulate and predict migration paths in potential future refugee crises. The primary goal is to support aid organizations in planning the delivery of essential aid services during migration movements, offering insights that can be applied to various geographical areas and migration scenarios. While we use the Syrian refugee movement to Turkey as a case study, the model is intended as a flexible tool for analyzing migration patterns in future crises. The proposed ABM considers two characteristics of refugee groups: level of risk sensitivity and level of information. To enhance the model’s functionality, we have extended the A* algorithm with a cost metric to calculate the weighted average of distance and risk to a destination point. Our case study examines the crisis in southern Idlib through six scenarios, offering insights into refugee numbers, migration paths, camp occupancy rates, and heat maps of densely populated regions for each scenario. Validation is performed by comparing model outcomes with situation reports and official statements from the relevant period, demonstrating the proposed ABM’s potential for adaptation to other migration instances and further analysis under different parameters.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102089"},"PeriodicalIF":6.2,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536124","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}
{"title":"Multi-period emergency facility location-routing problems under uncertainty and risk aversion","authors":"Qing-Mi Hu, Yan Hu, Xiaoping Li","doi":"10.1016/j.seps.2024.102093","DOIUrl":"10.1016/j.seps.2024.102093","url":null,"abstract":"<div><div>This paper addresses a multi-period emergency facility location-routing problem, in which the uncertainties in material demands and transportation time, as well as dynamic inventory replenishment and carryover are incorporated in the design of multi-level emergency logistics networks. To measure the risks stemming from uncertain transportation time, mean-CVaR method is used. Then, a risk-averse stochastic programming model for the presented problem is formulated to minimize the total rescue time of the network. Moreover, a genetic algorithm is developed to solve the proposed model. Extensive numerical experiments including the randomly generated instances and a case study on the Wenchuan earthquake in China are conducted to verify the effectiveness of the presented model and algorithm. Experimental results show that the genetic algorithm significantly performs better than the Gurobi solver in terms of both solution quality and solution time.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102093"},"PeriodicalIF":6.2,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444549","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}
Xin Zhao , Guoqing Zhai , Vincent Charles , Tatiana Gherman , Hyoungsuk Lee , Tuan Pan , Yuping Shang
{"title":"Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency","authors":"Xin Zhao , Guoqing Zhai , Vincent Charles , Tatiana Gherman , Hyoungsuk Lee , Tuan Pan , Yuping Shang","doi":"10.1016/j.seps.2024.102092","DOIUrl":"10.1016/j.seps.2024.102092","url":null,"abstract":"<div><div>In the post-COVID-19 era, with global economic recovery as a critical goal, the rapid development of artificial intelligence (AI) has emerged as a key driver of economic growth and transformation. AI not only acts as a powerful catalyst for economic development but also significantly impacts enterprise investment efficiency (EIE). This paper explores the influence of AI on EIE, with a focus on the role of accounting information transparency. Using data from Shanghai and Shenzhen A-share listed enterprises between 2010 and 2021, the findings demonstrate that AI development significantly enhances EIE. These results are confirmed through robustness tests, including variable substitution, and addressing endogeneity and sample limitations. Mechanism analysis reveals that AI improves EIE by increasing the transparency of accounting information. Additionally, heterogeneity analysis shows that AI has a greater impact on the investment efficiency of high-tech and technology-intensive enterprises, non-state-owned enterprises, and those located in highly urbanised areas, such as ‘Broadband China’ pilot cities. This paper examines how AI development affects EIE through the lens of enterprise accounting information transparency, offering actionable insights for enhancing accounting disclosures and serving as a valuable resource for enterprises navigating the technological transformation of the modern era.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102092"},"PeriodicalIF":6.2,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142432241","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}
{"title":"The impact of a low-carbon transport system policy on total factor carbon emission performance: evidence from 283 cities in China","authors":"Li-juan Si, Hao-yu Cao, Jian Wang","doi":"10.1016/j.seps.2024.102091","DOIUrl":"10.1016/j.seps.2024.102091","url":null,"abstract":"<div><div>Reducing carbon emissions from the transport sector is crucial to achieve “carbon neutrality” and is an important component of a low-carbon policy system. In response to the uncertainty of evaluating current low-carbon transport policies, we provide an in-depth analysis and examination of low-carbon transport system (LCTS) policies implemented in China. Using data from 283 Chinese cities between 2006 and 2020, we provide evidence on the policy effects, potential mechanisms, and heterogeneity of LCTS policies on carbon emission performance. Results showed that LCTS policies significantly improved carbon emission performance in pilot regions. The main ways to achieve this policy’s objective were to reduce energy consumption in pilot cities, to promote the development of green technologies, and to implement low-carbon transformation of public transport. Moreover, there was heterogeneity in the policy’s effects, with the implementation of a LCTS being more effective in eastern and central regions of China and in larger and more compact cities. By analysing the policy’s mechanisms and heterogeneity of effects, this article provides a reference for the formulation and selection of low-carbon transport policies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102091"},"PeriodicalIF":6.2,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418685","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}
{"title":"Regional development and intellectual capital: Unveiling the innovation-tradition dilemma","authors":"Pierluigi Toma , Patricia Laurens","doi":"10.1016/j.seps.2024.102087","DOIUrl":"10.1016/j.seps.2024.102087","url":null,"abstract":"<div><div>In the agri-food sector, intellectual capital includes innovation and tradition, which are often wrongly perceived as incompatible. The impact of intellectual capital on regional development has not been widely studied, particularly in the context of the Italian agri-food sector, which has a strong territorial heterogeneity. This paper aims to measure the impact of intellectual capital and know-how on regional development in the agricultural sector using a nonparametric efficiency methodology applied to a unique geographic area-based dataset. The study finds that innovation, measured by patents, has a better impact on efficiency than the relational component, which has an inverted U-shaped effect.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102087"},"PeriodicalIF":6.2,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of political relationships on virtual land flow from China's food trade","authors":"Guohua Ni , Man Teng , Bin Su , Zhenling Chen","doi":"10.1016/j.seps.2024.102085","DOIUrl":"10.1016/j.seps.2024.102085","url":null,"abstract":"<div><div>The increasing backlash against globalization has shifted public opinion towards being against trade. This situation puts food trade, which is resources constrained and susceptible to political relations, into a complex dilemma. Due to the concerns on agricultural endowments, food trade needs to be considered with strategic interests because of its sensitivity and fragility. Using virtual land as a measurement to analyse the resource flows behind the food trade can provide an objective perspective on what extent a country depends on the trade. Overlaying worldwide trade disputes and political interventions, establishing solid trade relationships is increasingly becoming urgent. This study uses an extended gravity model, assesses the virtual land traded by China with 10 species over 20 years, and provides insights on establishing politics-oriented trade relationships, further testing how this political mechanism works in the food trade. The results demonstrate that memorandums of understanding are the fundamental institutional layer to guarantee trading activities and promote smooth transactions for both sides; state visits are determinable factors in establishing bilateral relationships and it significantly promote upper-middle income countries, which crucially impacts the trading system. As those endeavors undertaken by executive departments are often ignored, more attention should be paid to them during interactive stages. Political relations show differences in food trade among different countries and varieties. The promoting effect of political relations is stronger in middle and high-income countries, and the impact on Russia and Ukraine is more significant than others. Compared within varieties, foreign state visits and endeavor presents more positive on pork.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102085"},"PeriodicalIF":6.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418684","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}