{"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}
{"title":"Adaptable solutions for retail supply chain resilience in the post-COVID-19 era","authors":"Ifeyinwa Juliet Orji , Chukwuebuka Martinjoe U-Dominic","doi":"10.1016/j.seps.2024.102090","DOIUrl":"10.1016/j.seps.2024.102090","url":null,"abstract":"<div><div>Faced with globalization and unpredictable disruptions, firms aspire to achieve resilience and sustainable recovery of their supply chain (SC) networks. However, Nigerian retail firms are faced with challenges that deter resilience in their SCs under disruptions, and to date, literature is currently non-existent that analyzes these challenges and proposes strategies for their mitigation. This study, therefore aims to identify and analyze the degree of significance of the challenges to SC resilience in Nigerian retail firms under disruptions, as well as propose strategies to mitigate them for enhancing retail SC resilience under potential disruption risks in the post COVID-19 era. Nineteen challenges were identified and categorized into three contexts namely operational-level, macro-level and internal-level. Then, a methodology based on integrating decision-making trial and evaluation laboratory with the Shannon entropy concept and simple additive weighting was proposed to aid in the study analysis. Results indicate that the operational-level context is most significant and ranks highest in deterring SC resilience in Nigerian retail firms under disruptions. Specifically, 'limited credit facility' is the highest ranked challenge, followed by 'lack of Omni channel fulfilment capabilities', 'delivery irregularities', ‘workers’ high welfare package’ and 'lack of supplier collaboration’. Besides, 'incentivisation' mitigates these challenges the most and is strongest linked to build retail SC resilience, followed by 'digitalization' and ‘SC localisation'. Implications are highlighted from the results for retail SC resilience in the post-COVID-19 era.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102090"},"PeriodicalIF":6.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418686","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}
Nicholas R. Magliocca , Ridvan Aksu , Kendra McSweeney , Hashir Tanveer , Kevin M. Curtin , Burcu Keskin
{"title":"Towards spatially disaggregated cocaine supply chain modeling","authors":"Nicholas R. Magliocca , Ridvan Aksu , Kendra McSweeney , Hashir Tanveer , Kevin M. Curtin , Burcu Keskin","doi":"10.1016/j.seps.2024.102086","DOIUrl":"10.1016/j.seps.2024.102086","url":null,"abstract":"<div><div>Despite the global reach and economic scale of cocaine trafficking, our best geographic understanding of the global trade remains coarse. A more spatially disaggregated understanding of how the cocaine supply chain embeds across multiple locations is necessary for informing security policies and anticipating the spread and intensity of social and environmental harms associated with the cocaine trade. In this research, modeling methods used for legal supply chains are adapted to spatially disaggregate illicit supply chain flows. Profit and supply maximization model versions were compared to elucidate key decision parameters cocaine traffickers might be facing. Cocaine flows to EU+3 (Norway, Turkey, and United Kingdom) markets were estimated based on the smuggling capacity of major Central American ports and bilateral trade volumes of selected commodities most often seized with cocaine shipments. The resulting estimates of cocaine volumes diverted to EU+3 countries from Central America ranged between 938 and 1526 metric tons (MT). Generally, easier concealment and storage in Central America led to less volume supplied to the United States (US) and increased shipments to EU+3 markets. Importantly, the value of this modeling approach is not in the quantitative estimates produced, but in the methodological approach that provides the ability to rigorously ground <em>any</em> quantitative estimates of clandestine phenomenon in the best available data.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102086"},"PeriodicalIF":6.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418753","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":"Integrating SEM, Wald test and ANOM to disentangle the effect of TMT functional background on strategic plans","authors":"Fabrizia Sarto , Sara Saggese , Emmadonata Carbone , Pasquale Sarnacchiaro","doi":"10.1016/j.seps.2024.102083","DOIUrl":"10.1016/j.seps.2024.102083","url":null,"abstract":"<div><div>Building on the upper echelon theory, this paper investigates the relationship between the functional background of the Top Management Team (TMT) and the strategic forward-looking disclosure in terms of both publication and quality of strategic plans. Specifically, it employs Structural Equation Modelling (SEM), along with the Wald test and Analysis of Means (ANOM), to disentangle the effects of the three specifications of functional background (i.e., output, throughput, and peripheral) on strategic plans. Analyzing a sample of 341 non-financial companies listed on the Milan Stock Exchange, the research assesses the quality of strategic plans through content analysis. The empirical evidence reveals that the TMT's functional background significantly influences the strategic forward-looking disclosure, with the peripheral functional background having the highest impact compared to the other specifications. This finding underscores the crucial role of managerial characteristics in enhancing the quality of strategic plans and suggests that firms should consider managers' functional expertise when making directors' appointments. In doing so, the paper not only contributes to theory and practice but also offers methodological advancements.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102083"},"PeriodicalIF":6.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418687","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":"The economic impact of terrorism in South Asia","authors":"Chang Meng, Noorulhaq Ghafoori","doi":"10.1016/j.seps.2024.102084","DOIUrl":"10.1016/j.seps.2024.102084","url":null,"abstract":"<div><div>This study examines the economic impact of terrorism in South Asia. The region is currently home to 123 active terrorist/insurgent groups and is accountable for over 27 % of recorded global terrorist attacks. The annual data from the six most-terror-affected South Asian countries (Afghanistan, Bangladesh, India, Nepal, Pakistan, and Sri Lanka) during the US-led war on terror (2001 - 2022) is used. For econometric estimation, the five models: fixed-effect, generalized least squares (GLS), generalized estimating equation (GEE), quantile regression (QR), and panel-corrected standard errors (PCSE) are applied. Terror-related death (a proxy for human capital loss) and per capita income (a proxy for purchasing power) are considered to measure terrorism and its economic impact. In addition, four economic indicators (military expenditure, population, official development assistance (ODA), and USAID) and three institutional indicators (electoral democracy index, political violence index, and mobilization for autocracy index) are taken into account as control variables. The result suggests that every additional 886 terror-related human capital loss across the region significantly reduces the purchasing power of each South Asian person by at least 9.800 US dollars. Moreover, among the control variables, military expenditure, political violence, and mobilization for autocracy negatively affect per capita income, while electoral democracy, population, ODA, and USAID positively impact it. This study will also help understand the implications of the United Nations' Sustainable Development Goals (SDGs) agenda and achieving specific targets such as SDG 8 (promoting economic growth) and SDG 16 (promoting just, peaceful, and inclusive societies) based on the most terror-affected region.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102084"},"PeriodicalIF":6.2,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142418752","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}