Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.04
XU Meiqi, Qianjin Tan, Yuanyuan Zhang
{"title":"An Evolutionary Game Analysis of Digital Decision Making in Manufacturing Enterprises under Reward and Punishment Mechanism","authors":"XU Meiqi, Qianjin Tan, Yuanyuan Zhang","doi":"10.24818/18423264/58.1.24.04","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.04","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.13
Stoica Gabriela Dalila, Stoian Mirela, Nica Ionut Catalin, Jelocnik Marko, Fratila Adam Alexandra
. One of the founding principles of the European Union was free trade between all member states. In Romania, an EU member since 2007, the trade deficit for agro-food products has grown rapidly in recent years, reaching €8.3 billion in 2020, €1.08 billion higher than in the previous year. The aim of the paper is to highlight the evolution of trade and trade balance with the main categories of agro-food products in Romania. In order to achieve this aim, indicators contributing to the trade balance were analysed. The analysed indicators are import, export, and trade balance for cereals, vegetables, and meat, at the Romanian level, in the period 2010-2020. In addition, the SPSS software was used to estimate the trade balance for the next decade. Cereals show a positive medium-term outlook driven by strong demand, thus in 2020 Romania's trade balance with cereals recorded a surplus of 7.8 million tons, equivalent to 1.4 billion euros, while the trade balance with vegetables and meat recorded a trade deficit of 625 thousand tons, and 381 thousand tons, respectively.
{"title":"Research on the Agro-Food Trade Balance of Romania","authors":"Stoica Gabriela Dalila, Stoian Mirela, Nica Ionut Catalin, Jelocnik Marko, Fratila Adam Alexandra","doi":"10.24818/18423264/58.1.24.13","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.13","url":null,"abstract":". One of the founding principles of the European Union was free trade between all member states. In Romania, an EU member since 2007, the trade deficit for agro-food products has grown rapidly in recent years, reaching €8.3 billion in 2020, €1.08 billion higher than in the previous year. The aim of the paper is to highlight the evolution of trade and trade balance with the main categories of agro-food products in Romania. In order to achieve this aim, indicators contributing to the trade balance were analysed. The analysed indicators are import, export, and trade balance for cereals, vegetables, and meat, at the Romanian level, in the period 2010-2020. In addition, the SPSS software was used to estimate the trade balance for the next decade. Cereals show a positive medium-term outlook driven by strong demand, thus in 2020 Romania's trade balance with cereals recorded a surplus of 7.8 million tons, equivalent to 1.4 billion euros, while the trade balance with vegetables and meat recorded a trade deficit of 625 thousand tons, and 381 thousand tons, respectively.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.06
Lee Woo Suk, Lee Hahn Shik
{"title":"Asymmetric Volatility Connectedness Among G7 Stock Markets","authors":"Lee Woo Suk, Lee Hahn Shik","doi":"10.24818/18423264/58.1.24.06","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.06","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140381713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.15
Khan Nosherwan, Hassan Arshad
{"title":"Do Decimated Based Trading Model Outperform the Buy-and-Hold Investment Strategy","authors":"Khan Nosherwan, Hassan Arshad","doi":"10.24818/18423264/58.1.24.15","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.15","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140383324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.01
Kim Hongjoong, Moon Kyoung-Sook
{"title":"Optimal Data Construction in Supervised Machine Learning for Financial Prediction","authors":"Kim Hongjoong, Moon Kyoung-Sook","doi":"10.24818/18423264/58.1.24.01","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.01","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.03
Marin Stefania-Raluca, Dumitrescu Dalina
{"title":"Empirical Evidence Regarding Implications of Crypto-Assets Energy Usage on Climate","authors":"Marin Stefania-Raluca, Dumitrescu Dalina","doi":"10.24818/18423264/58.1.24.03","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.03","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. The purpose of this research is to demonstrate, using statistical modelling, that for company economic performance, besides economic resources, human capital and its well-being, psychological comfort and motivation measured through psychological constructs are also important. For the research, two companies from the industry, two batches of employees, homogeneous, comparable in terms of the subjects’ socio-demographic characteristics and economic indicators evolution were analysed. The results indicate as good predictors, statistically significant, for the personal satisfaction of employees from the two industrial firms, with a direct and measurable effect on the economic performance of the company: time management and burnout for both companies and, for company F1, also salary satisfaction. The statistically significant differences between the two companies for the yield per employee for turnover and net profit are explained from the perspective of psychological constructs. Thus, the importance of psychological constructs in measuring and diagnosing employees to ensure an upward evolution of company economic indicators and yield per employee is demonstrated.
.本研究的目的是利用统计模型证明，对于公司的经济业绩而言，除了经济资源、人力资本及其福利之外，通过心理结构衡量的心理舒适度和动力也很重要。在研究中，分析了两家来自该行业的公司、两批在社会人口特征和经济指标演变方面具有可比性的同质员工。结果表明，两家工业公司员工的个人满意度在统计学上具有显著的预测作用，对公司的经济业绩具有直接和可衡量的影响：两家公司的时间管理和职业倦怠，以及 F1 公司的薪酬满意度。从心理结构的角度解释了两家公司在员工人均流动率和净利润方面存在的统计意义上的显著差异。由此可见，心理结构在衡量和诊断员工以确保公司经济指标和人均收益率向上发展方面的重要性。
{"title":"Statistical Modelling for Synergic Well-Being and Company Performance Based on Psychological Constructs as Predictors of Employee Satisfaction","authors":"Gabor Manuela Rozalia, Dimbean Camelia Angelica, Kardos Mihaela, Banacu Cristian Silviu","doi":"10.24818/18423264/58.1.24.18","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.18","url":null,"abstract":". The purpose of this research is to demonstrate, using statistical modelling, that for company economic performance, besides economic resources, human capital and its well-being, psychological comfort and motivation measured through psychological constructs are also important. For the research, two companies from the industry, two batches of employees, homogeneous, comparable in terms of the subjects’ socio-demographic characteristics and economic indicators evolution were analysed. The results indicate as good predictors, statistically significant, for the personal satisfaction of employees from the two industrial firms, with a direct and measurable effect on the economic performance of the company: time management and burnout for both companies and, for company F1, also salary satisfaction. The statistically significant differences between the two companies for the yield per employee for turnover and net profit are explained from the perspective of psychological constructs. Thus, the importance of psychological constructs in measuring and diagnosing employees to ensure an upward evolution of company economic indicators and yield per employee is demonstrated.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.07
Mahmoodi Samin, Najafi Amir Abbas, Ghods Kian
. A resource renting problem is a project scheduling problem in which the required resources should be rented, and the goal is to find a schedule and resource renting plan such that the total cost of the resources minimises. Traditionally, the model of a resource renting problem contains single-mode activities and a single objective function. This research aims to present a new mathematical model for a bi-objective multi-mode resource renting problem. The objectives are to minimise the project makespan and also the total cost of resources, including the time-independent resource procurement costs and time-dependent resource renting costs, simultaneously. A novel evolutionary algorithm, namely the Multi-Objective Water Cycle Algorithm (MOWCA), is employed to solve this NP-hard problem. In order to evaluate the proposed algorithm, the Non-Dominated Sorting Genetic Algorithm (NSGA-II) is applied, too. A set of instances is selected from the digital library of project scheduling problems to analyse the performances of evolutionary algorithms. The results of the experimentation are quite satisfactory.
{"title":"A Multi-Objective Water Cycle Algorithm for the BI-Objective Multi-Mode Project Resource Renting Problem","authors":"Mahmoodi Samin, Najafi Amir Abbas, Ghods Kian","doi":"10.24818/18423264/58.1.24.07","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.07","url":null,"abstract":". A resource renting problem is a project scheduling problem in which the required resources should be rented, and the goal is to find a schedule and resource renting plan such that the total cost of the resources minimises. Traditionally, the model of a resource renting problem contains single-mode activities and a single objective function. This research aims to present a new mathematical model for a bi-objective multi-mode resource renting problem. The objectives are to minimise the project makespan and also the total cost of resources, including the time-independent resource procurement costs and time-dependent resource renting costs, simultaneously. A novel evolutionary algorithm, namely the Multi-Objective Water Cycle Algorithm (MOWCA), is employed to solve this NP-hard problem. In order to evaluate the proposed algorithm, the Non-Dominated Sorting Genetic Algorithm (NSGA-II) is applied, too. A set of instances is selected from the digital library of project scheduling problems to analyse the performances of evolutionary algorithms. The results of the experimentation are quite satisfactory.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-25DOI: 10.24818/18423264/58.1.24.16
Lu Xunfa, Jingjing Sun, Zhengjun Zhang
. This study investigates the correlations between stock market indices in representative countries or regions along the Belt and Road using a generalised complex network based on the maximum information coefficient. Also, the dynamic correlation characteristics of the focused stock market indices are analysed utilising the minimum spanning tree. Firstly, the results show that, since the introduction of the Belt and Road policy, the Chinese stock market has emerged as the center of the stock index networks, establishing stronger associations with the stock indices of other countries or regions. Secondly, throughout all sub-sample periods, especially before the policy was put forward, the stock index networks of the stock market indices of representative countries or regions along the Belt and Road generally exhibit aggregation patterns of regional geography in the mass. Thirdly, the correlation between these stock market indices is significantly strengthened during extreme shocks. Finally, since 2015, with the progressive deepening of investment and trade between China and other countries or regions along the Belt and Road, the degree of relationship between these stock market indices under discussion has been undergoing changes.
{"title":"Correlation Analysis of Stock Markets Along the Belt and Road: A Generalised Complex Network Approach","authors":"Lu Xunfa, Jingjing Sun, Zhengjun Zhang","doi":"10.24818/18423264/58.1.24.16","DOIUrl":"https://doi.org/10.24818/18423264/58.1.24.16","url":null,"abstract":". This study investigates the correlations between stock market indices in representative countries or regions along the Belt and Road using a generalised complex network based on the maximum information coefficient. Also, the dynamic correlation characteristics of the focused stock market indices are analysed utilising the minimum spanning tree. Firstly, the results show that, since the introduction of the Belt and Road policy, the Chinese stock market has emerged as the center of the stock index networks, establishing stronger associations with the stock indices of other countries or regions. Secondly, throughout all sub-sample periods, especially before the policy was put forward, the stock index networks of the stock market indices of representative countries or regions along the Belt and Road generally exhibit aggregation patterns of regional geography in the mass. Thirdly, the correlation between these stock market indices is significantly strengthened during extreme shocks. Finally, since 2015, with the progressive deepening of investment and trade between China and other countries or regions along the Belt and Road, the degree of relationship between these stock market indices under discussion has been undergoing changes.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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