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Artificial Intelligence and Economic Growth: A Theoretical Framework 人工智能与经济增长:一个理论框架
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-26 DOI: 10.47743/saeb-2021-0027
Lei Wang, P. Sarker, Kausar Alam, S. Sumon
The growing adoption of Artificial Intelligence (AI) has sparked ubiquitous concerns worldwide. Artificial intelligence can affect economic growth and employment. The influence is assumed to be substantial because the adoption of AI technology may lead to increased productivity, lower wages, prices, and labor substitution. Artificial intelligence can affect global economic growth with its widespread adoption and diffusion. We mathematically examined the effects of AI on economic growth, reiterating how AI is unique as a production factor. The models show that AI capital lowers capital prices, increases wages, and augments productivity. Besides, AI capital positively affects the labor share and vice versa, provided that AI and labor are complementary. We improved a task-based model to show AI raises both labor share and wages by generating new tasks. We also present the potential policy implications of AI adoption. We conclude AI can contribute to economic growth. Labor-abundant countries should adopt labor-augmenting technology, while countries with an aging population can adopt capital-augmenting technology. However, caution should be exercised in ensuring that the models are leveraged optimally.
人工智能的日益普及引发了全世界普遍关注。人工智能可以影响经济增长和就业。这种影响被认为是巨大的,因为人工智能技术的采用可能会提高生产力、降低工资、价格和劳动力替代。人工智能的广泛采用和传播可以影响全球经济增长。我们从数学上研究了人工智能对经济增长的影响,重申了人工智能作为一种生产要素是如何独特的。模型显示,人工智能资本降低了资本价格,提高了工资,提高了生产力。此外,人工智能资本对劳动力份额有正向影响,反之亦然,前提是人工智能和劳动力是互补的。我们改进了一个基于任务的模型,显示人工智能通过生成新任务来提高劳动力份额和工资。我们还介绍了人工智能采用的潜在政策影响。我们得出结论,人工智能可以促进经济增长。劳动力充足的国家应该采用劳动力补充技术,而人口老龄化的国家可以采用资本补充技术。然而,在确保模型得到最佳利用时,应谨慎行事。
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引用次数: 6
Intellectual Capital, Technological Intensity and Firm Performance: The Case of Emerging Countries 知识资本、技术强度与企业绩效——以新兴国家为例
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-25 DOI: 10.47743/saeb-2021-0026
M. Öner, A. Aybars, Murat Çinko, Emin Avci
While neglecting the importance of technological intensity, most of the prior studies documented the positive contribution of intellectual capital (IC) to corporate financial performance. This study aims at analyzing the relation between IC and corporate financial performance addressing the technological intensity in different sectors from 17 emerging countries. The impact of IC, which is measured by Value Added Intellectual Coefficient (VAIC) and its components; Capital Employed Efficiency (CEE), Human Capital Efficiency (HCE), and Structural Capital Efficiency (SCE), on corporate financial performance will be evaluated using panel data analysis for the period between 2009-2019. Accordingly, IC and its components are found to be significant drivers of financial performance being higher for sectors that are more technology intensive. Moreover, human and physical capital are the main components, which boost finance performance for all groups irrespective of technological intensity in the emerging market context.
以往的研究大多忽视了技术强度对企业财务绩效的影响,并论证了智力资本对企业财务绩效的正向贡献。本研究旨在分析来自17个新兴国家的不同行业的技术强度与公司财务绩效之间的关系。智力增加值(Value Added Intellectual Coefficient, VAIC)及其组成部分衡量的智力增加值的影响;利用2009-2019年期间的面板数据分析,评估资本利用效率(CEE)、人力资本效率(HCE)和结构资本效率(SCE)对企业财务绩效的影响。因此,IC及其组件被发现是技术密集型行业财务绩效更高的重要驱动因素。此外,人力资本和物质资本是主要组成部分,在新兴市场背景下,无论技术强度如何,它们都能提高所有集团的财务绩效。
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引用次数: 4
Instagram: Balancing Information Asymmetry of the Tourism Industry Instagram:平衡旅游业的信息不对称
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-24 DOI: 10.47743/saeb-2021-0025
Josué Gutiérrez-Barroso, A. Báez-García, Francisco Flores-Muñoz, Diego Valentinetti
This study focuses on the use of Instagram by tourism companies. Specifically, it aims to analyze how Instagram empowers individuals over corporations in the digital dialogue, thus balancing the information asymmetry between corporations and stakeholders. Four categories of metrics have been collected to analyze the use of Instagram by companies: presence, impact, conversation, and influence. Additionally, OLS regressions have been performed to identify potential explanatory factors to explain the different behavior of each firm and its corresponding communities. While the use of Instagram by the selected firms is still scarce, significant results are as follows: corporations are using Instagram as an additional channel in their current communication; some explanatory factors account for significant differences in countries, size, and industries; and users are somehow reactive to the stream of pictures and texts disclosed by firms. The presence and impact of companies on Instagram are a highly important source for driving stakeholders’ conversation within the digital arena.
本研究的重点是旅游公司对Instagram的使用。具体来说,它旨在分析Instagram如何在数字对话中赋予个人而不是企业权力,从而平衡企业与利益相关者之间的信息不对称。我们收集了四类指标来分析公司对Instagram的使用:存在感、影响力、对话和影响力。此外,OLS回归已被用于确定潜在的解释因素,以解释每个公司及其相应社区的不同行为。虽然所选企业对Instagram的使用仍然很少,但重要的结果如下:企业正在使用Instagram作为当前沟通的额外渠道;一些解释因素解释了国家、规模和行业的显著差异;用户对公司披露的图片和文本流也有某种反应。公司在Instagram上的存在和影响是推动利益相关者在数字领域进行对话的一个非常重要的来源。
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引用次数: 0
Temporal Restriction and Interest for the Elderly on Cultural Participation. The Case of Spanish Performing Arts 2019 老年人文化参与的时间限制与兴趣。2019年西班牙表演艺术案例
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-23 DOI: 10.47743/saeb-2021-0030
Blas DÍaz León, Ignacio Martínez Fernández, Luis Palma Martos
This paper discusses the relationship of cultural participation in performing arts with the manifested interest. Using the data set from the Cultural Habits and Practices Survey 2018-2019 a binary probit model has been applied for the analysis. Emphasizing the role of aging in participation, especially for the group of the elderly and very old. The age variable is one of the most difficult variables to apprehend, in which the cohort effects, age itself and period should be considered. This paper is an approach to the study of the aging effect on cultural participation, which would be continued with the analysis of the Surveys in previous years. This work shows that there is no homogeneous behavior between participation and interest within the different performing arts. Presenting some of them differentiating features.
本文探讨了表演艺术中的文化参与与表现兴趣的关系。使用2018-2019年文化习惯和实践调查的数据集,将二元probit模型应用于分析。强调老龄化在参与中的作用,特别是对于老年人和高龄老人群体。年龄变量是最难理解的变量之一,其中应考虑队列效应、年龄本身和时期。本文是一种研究老龄化对文化参与影响的方法,将继续分析前几年的调查。这项工作表明,在不同的表演艺术中,参与和兴趣之间不存在同质的行为。呈现其中一些与众不同的特点。
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引用次数: 1
Volatility Exchange Rate and Economic Growth: Insight from ASEAN Member Countries 波动汇率与经济增长:来自东盟成员国的洞察
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-23 DOI: 10.47743/saeb-2021-0023
Gatot Nazir Ahmad,Haryo Kuncoro,Harmuzan Tazril,Dicky Iranto
This study aims to determine the effect of exchange rate volatility on economic growth in the ASEAN member countries (Indonesia, Thailand, Vietnam, and Cambodia) through investment. Based on the previous studies, the researcher focuses on developing the initial research analysis because it can control different company levels' characteristics and then determine the impact of exchange rate changes on economic growth mediated by investment. There is a limited analysis of whether exchange rate movements encourage overall investment in this study's particular direction. The author's primary focus is whether the export or import channels or both play an essential role in determining a company's investment. This study's population is in ASEAN member countries that have been published by the World Bank (https://www.worldbank.org/) and continue to exist during the period 1998-2019. The sample selection in this study used a purposive sampling method. Some of the ratio data were available in the financial report summary. The analysis method used in the study is the path analysis.
本研究旨在通过投资确定汇率波动对东盟成员国(印度尼西亚、泰国、越南和柬埔寨)经济增长的影响。在前人研究的基础上,研究人员重点发展初始研究分析,因为它可以控制不同公司层次的特征,从而确定汇率变化对投资中介的经济增长的影响。对于汇率变动是否会鼓励本研究特定方向的整体投资,分析有限。作者主要关注的是,出口或进口渠道是否在决定公司的投资中起着至关重要的作用。本研究的人口是世界银行公布的东盟成员国(https://www.worldbank.org/),并在1998-2019年期间继续存在。本研究的样本选择采用了有目的的抽样方法。财务报告摘要中提供了一些比率数据。本研究采用的分析方法是通径分析。
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引用次数: 0
Threshold Cointegration Approach for Assessing the Impact of US Economic Policy Uncertainty on Monetary Policy Decision of African Countries 门槛协整方法评估美国经济政策不确定性对非洲国家货币政策决策的影响
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-23 DOI: 10.47743/saeb-2021-0024
Prince Mensah Osei, A. Adam
This study uses threshold cointegration technique to ascertain the relationship between United States (US) economic policy uncertainty (EPU) and monetary policy rate (MPR) of each of the four African countries, namely Egypt, Ghana, Namibia and South Africa using monthly data from March 1998 to April 2020. The impact of US EPU on MPR of each country is assessed by examining the linear cointegration, asymmetric cointegration and causal relationships in the frequency domain between the US EPU and MPR of each African country. The findings provide evidence of long-run threshold cointegration and the adjustment mechanisms towards long-run equilibrium are asymmetric in the short run for the MPR models for Ghana, Namibia and South Africa in the M-TAR specification except for Egypt’s MPR model which does not provide evidence of asymmetric adjustment towards the equilibrium position. The bivariate analysis performed in the spectral frequency domain suggests unidirectional causality between US EPU and MPR of each country and that, the US EPU influences the MPR of each country in the long run. The findings provide important guidelines to monetary policy reviewers to take policy stance that would stimulate economic growth amid US policy uncertainties.
本研究使用阈值协整技术,利用1998年3月至2020年4月的月度数据,确定了美国经济政策不确定性(EPU)与埃及、加纳、纳米比亚和南非四个非洲国家货币政策利率(MPR)之间的关系。美国EPU对每个国家MPR的影响是通过考察美国EPU与每个非洲国家MPR之间的线性协整、不对称协整和频域因果关系来评估的。研究结果提供了长期阈值协整的证据,并且在M-TAR规范中,加纳、纳米比亚和南非的MPR模型在短期内对长期均衡的调整机制是不对称的,埃及的MPR模式没有提供对均衡位置的不对称调整的证据。在谱频域中进行的双变量分析表明,美国EPU和每个国家的MPR之间存在单向因果关系,从长远来看,美国EPU影响每个国家的MP R。研究结果为货币政策审查人员在美国政策不确定性的情况下采取刺激经济增长的政策立场提供了重要指导。
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引用次数: 2
Public Funding of Research into Ethnological Activities in Andalusia (Spain): Boosting the Academic Career of Researchers 安达卢西亚(西班牙)民族学活动研究的公共资助:促进研究人员的学术生涯
IF 0.6 Q3 ECONOMICS Pub Date : 2021-11-23 DOI: 10.47743/saeb-2021-0029
Celeste Jiménez de Madariaga, Juan José García del Hoyo
The advent of democracy in Spain and the establishment of the different autonomous communities marked the beginning of a process to transfer political, economic and other competences over Culture and Cultural Heritage. Following its creation in 1984, the Ministry of Culture of the Andalusian Autonomous Government incorporated a Directorate-General for Cultural Assets into its organisational structure and embarked on an ambitious programme of actions to support Andalusian historical heritage, including creation of a management structure, enactment of a specific heritage law and budget allocations for protection tasks. From the outset, a type of heritage little known until then emerged: ethnological heritage. Dynamic actions were also promoted to fund research into this area, including grants for ethnological activities, financing for publications and funding for ethnological symposiums.This paper analyses the different ethnological activities carried out and their funding, and assesses the extent to which this investment favoured the professional development of teaching staff in the field of Social Anthropology in Andalusia, specifying the marginal effects and differentiating them according to gender and university size using binary choice models (Logit).
西班牙民主的出现和不同自治社区的建立标志着对文化和文化遗产的政治、经济和其他权力转移进程的开始。安达卢西亚自治政府文化部于1984年成立后,将文化资产总局纳入其组织结构,并开始实施一项雄心勃勃的行动计划,以支持安达卢西亚历史遗产,包括建立一个管理结构,制定具体的遗产法,并为保护任务分配预算。从一开始,一种鲜为人知的遗产就出现了:民族学遗产。还推动了为这一领域的研究提供资金的积极行动,包括为民族学活动提供赠款、为出版物提供资金以及为民族主义专题讨论会提供资金。本文分析了所开展的不同民族学活动及其资金,并评估了这项投资在多大程度上有利于安达卢西亚社会人类学领域教职员工的专业发展,具体说明了边际效应,并使用二元选择模型(Logit)根据性别和大学规模进行了区分。
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引用次数: 0
Determining the Return Volatility of Major Stock Markets Before and During the COVID-19 Pandemic by Applying the EGARCH Model 应用EGARCH模型确定新冠肺炎大流行前后主要股票市场的收益波动
IF 0.6 Q3 ECONOMICS Pub Date : 2021-10-18 DOI: 10.47743/saeb-2021-0022
Letife Özdemir, Ercan Ozen, S. Grima, I. Romānova
With this study, we aim to determine the effect of the Covid-19 pandemic on the return volatility of the DJI, the DAX, the FTSE100 and the CAC40 stock indexes. We take return volatility between 1st January 2019 and 17th July 2020 and split it into two separate periods - before the Covid-19 pandemic outbreak and the first wave of the ‘In-Pandemic’ period. Only the so-called first wave of the pandemic was chosen to avoid the influence of knowledge of possible vaccines and antiviral solutions. Data were analysed by using the exponential GARCH (EGARCH) model. Findings show excessive volatility in the major stock markets with short volatility persistence and the presence of leverage in returns during the first wave of the Covid-19 pandemic outbreak. Moreover, during the pandemic period, positive shocks have been observed to have a greater effect than negative socks on the stock index return volatility.
通过本研究,我们旨在确定Covid-19大流行对DJI, DAX, FTSE100和CAC40股指收益率波动的影响。我们选取2019年1月1日至2020年7月17日期间的回报率波动率,并将其分为两个独立的时期——Covid-19大流行爆发之前和“大流行”时期的第一波。只选择所谓的第一波大流行,以避免可能的疫苗和抗病毒解决方案的知识的影响。采用指数GARCH (EGARCH)模型对数据进行分析。调查结果显示,在新冠肺炎疫情第一波爆发期间,主要股票市场存在过度波动,波动性持续较短,回报率存在杠杆效应。此外,在大流行期间,已观察到正面冲击对股票指数回报波动率的影响大于负面冲击。
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引用次数: 3
Changes in marketing management induced by the COVID-19 pandemic: Lithuanian organisations’ marketing landscape 2019冠状病毒病大流行引发的营销管理变化:立陶宛组织的营销格局
IF 0.6 Q3 ECONOMICS Pub Date : 2021-09-27 DOI: 10.47743/saeb-2021-0018
Migle Sontaite-Petkeviciene, Asta Kyguolienė, Viktorija Grigaliūnaitė
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引用次数: 1
Advanced empirical research based on structural equation modeling (SEM) regarding the impact of tax revenue on GDP dynamics at EU-28 level 基于结构方程模型(SEM)的欧盟28国税收对GDP动态影响的高级实证研究
IF 0.6 Q3 ECONOMICS Pub Date : 2021-09-27 DOI: 10.47743/SAEB-2021-0017
C. Spulbar, M. Ehsanifar, Ramona Birau, Arezoo Babaie, Daniel Iulius Doagă
The main objective of this empirical study is to investigate the impact of tax revenue on GDP dynamics at EU-28 level based on structural equation modeling (SEM). We applied structural equation modeling (SEM) which represents a multivariate statistical analysis technique used especially for analyzing structural relationships between measured variables and latent structures. Selected taxes are the following: environmental taxes, indirect taxes, social contributions, taxes on capital, taxes on labour, taxes on property, and direct taxes. The sample period includes a long time horizon during 2005-2017 for each member states of EU-28. Our empirical findings revealed the level of taxation exhibits an increased influence on GDP dynamics in case of EU-28 member states.JEL Codes - C3; E62; O47; O52
本实证研究的主要目的是基于结构方程模型(SEM)探讨税收对欧盟28国GDP动态的影响。我们应用了结构方程模型(SEM),这是一种多变量统计分析技术,特别用于分析被测变量与潜在结构之间的结构关系。选定的税种如下:环境税、间接税、社会贡献税、资本税、劳动税、财产税和直接税。样本期包括欧盟28个成员国2005-2017年的长时间范围。我们的实证研究结果显示,在欧盟28个成员国的情况下,税收水平对GDP动态的影响越来越大。JEL代码- C3;E62;O47;O52
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引用次数: 2
期刊
Scientific Annals of Economics and Business
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