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Determinants of global value chain participation in regional trade agreements: the case of Regional Comprehensive Economic Partnership (RCEP) 区域贸易协定中全球价值链参与的决定因素:以区域全面经济伙伴关系(RCEP)为例
Pub Date : 2023-09-29 DOI: 10.1007/s40812-023-00281-1
Nida Rahman, Mohd Nayyer Rahman, Muganda Munir Manini, Krishan Sharma
Globally, the share of Global Value Chain (GVC) trade currently accounts for around 70% of total trade. In Regional Comprehensive Economic Partnership (RCEP) region, around 46% of the total trade involves GVC trade. Besides, RCEP is the first agreement between China, Japan and South Korea. Given the important positioning of RCEP member countries like Japan, China, South Korea and Vietnam in factory Asia and prominent GVC assembly hubs, this paper examines the determinants of GVC participation in RCEP bloc by employing fixed effects regression method over a period of 1995–2018. The paper also explores the impact of the level of development of the member countries on GVC participation. Latest GVC measures provided by OECD Tiva, 2021 edition are used. The degree of openness to trade and economic freedom positively impacts backward participation rate whereas FDI inflows exerts negative influence on forward participation rate of RCEP countries. However, the developing countries within RCEP appears to have benefitted from FDI inflows, as it significantly affects their forward participation rate in positive direction in relation to their developed counterparts. Similarly, the positive impact of trade openness on backward participation is more pronounced in RCEP member countries with a developing country status relative to developed countries.
在全球范围内,全球价值链贸易目前占贸易总额的70%左右。在区域全面经济伙伴关系(RCEP)区域,全球价值链贸易约占贸易总额的46%。此外,RCEP是中国、日本和韩国之间的第一个协议。鉴于日本、中国、韩国和越南等RCEP成员国在亚洲工厂和全球价值链组装中心的重要地位,本文采用固定效应回归方法,对1995-2018年期间RCEP集团中全球价值链参与的决定因素进行了研究。本文还探讨了成员国发展水平对全球价值链参与的影响。采用经合组织Tiva提供的最新全球价值链衡量标准,2021年版。贸易开放程度和经济自由度对RCEP成员国的后向参与率有正向影响,FDI流入对RCEP成员国的前向参与率有负向影响。然而,区域全面经济伙伴关系内的发展中国家似乎从外国直接投资流入中受益,因为与发达国家相比,外国直接投资流入显著影响了它们正向的远期参与率。同样,相对于发达国家,贸易开放对落后参与的积极影响在具有发展中国家地位的RCEP成员国中更为明显。
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引用次数: 0
Digitalization and informal economy: a global evidence of internet usage 数字化与非正规经济:互联网使用的全球证据
Pub Date : 2023-09-20 DOI: 10.1007/s40812-023-00278-w
Canh Phuc Nguyen, Christophe Schinckus, Quang Binh Nguyen, Duyen Thuy Le Tran
This article investigates the links between the technological evolution and the importance of informal economic activities. We examine the influences of internet usage on the shadow economy in a global sample between 2002 and 2015. With this purpose, we mobilize the panel fixed-effects estimate and the panel corrected standard errors estimate (as a robustness check) for the analysis of 114 economies (and three sub-samples including high-income economies (HIEs), upper-middle-income economies (UMEs), and lower-middle-income economies (LMEs)). Our results indicate that the use of the internet generally has a negative impact on the shadow economy. This influence of internet is consistent across all institutional environments. Interestingly, technology is not spread through the shadow economy in the same way everywhere since we observe a U-shaped relationship between internet usage and the shadow economy. Our research shows that technology might also have a negative influence on official activities if its implementation is not combined with an appropriate institutional policy allowing policy-makers to avoid the technology-side effects.
本文探讨了技术演进与非正式经济活动重要性之间的联系。我们在2002年至2015年的全球样本中研究了互联网使用对影子经济的影响。为此,我们对114个经济体(以及包括高收入经济体(HIEs)、中高收入经济体(me)和中低收入经济体(LMEs)在内的三个子样本)的分析运用了面板固定效应估计和面板修正标准误差估计(作为稳健性检查)。我们的研究结果表明,互联网的使用通常对影子经济产生负面影响。互联网的这种影响在所有制度环境中都是一致的。有趣的是,由于我们观察到互联网使用和影子经济之间呈u型关系,技术并没有以同样的方式在影子经济中传播。我们的研究表明,如果技术的实施没有与适当的制度政策相结合,使政策制定者能够避免技术副作用,那么技术也可能对官方活动产生负面影响。
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引用次数: 0
Herding behavior in the cryptocurrency market: the case of the Russia–Ukraine conflict 加密货币市场的羊群行为:以俄罗斯-乌克兰冲突为例
Pub Date : 2023-09-14 DOI: 10.1007/s40812-023-00279-9
Hanh-Hong Le, Binh Thanh Nguyen, Nguyen Nhan Thien
Abstract This study investigates the herding behavior in the cryptocurrency market during the period of the Russia and Ukraine conflict using intraday cryptocurrency price data of the five largest cryptocurrencies in terms of market capitalization. The empirical results indicate an anti-herding behavior during the whole period of the conflict, especially after the conflict officially happens. The research contributes to the growing literature on herding behavior in the cryptocurrency market by using intraday data and examining the Russia–Ukraine conflict period.
本研究使用市值最大的五种加密货币的盘中加密货币价格数据,调查了俄罗斯和乌克兰冲突期间加密货币市场的羊群行为。实证结果表明,在整个冲突过程中,尤其是冲突正式发生后,反羊群行为一直存在。该研究通过使用日内数据和研究俄罗斯-乌克兰冲突时期,为加密货币市场中的羊群行为提供了越来越多的文献。
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引用次数: 0
Institutions, digital assets, and implications for economic and financial performance 机构、数字资产以及对经济和金融绩效的影响
IF 4.6 Pub Date : 2023-07-31 DOI: 10.1007/s40812-023-00276-y
Douglas J. Cumming, Zachary Glatzer, O. Guedhami
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引用次数: 1
Platform acquisitions, product imitation and openness 平台收购,产品模仿,开放
IF 4.6 Pub Date : 2023-07-21 DOI: 10.1007/s40812-023-00277-x
J. Sánchez-Cartas
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引用次数: 0
Business group affiliation and product market competition 企业集团隶属关系与产品市场竞争
IF 4.6 Pub Date : 2023-07-21 DOI: 10.1007/s40812-023-00275-z
T. Pereira, M. Sousa
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引用次数: 0
Institutional frameworks and the shadow economy: new evidence of colonial history, socialist history, religion, and legal systems 制度框架和影子经济:殖民历史、社会主义历史、宗教和法律制度的新证据
IF 4.6 Pub Date : 2023-07-12 DOI: 10.1007/s40812-023-00274-0
C. Nguyen, Binh Nguyen Quang, Thanh Dinh Su
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引用次数: 5
The impact of digital finance on corporate labor productivity: evidence from Chinese-listed companies 数字金融对企业劳动生产率的影响:来自中国上市公司的证据
IF 4.6 Pub Date : 2023-07-06 DOI: 10.1007/s40812-023-00273-1
Xuan Zhang
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引用次数: 1
The performance of Italian Industrial districts in and out of the 2008–2012 crisis 2008-2012年危机前后意大利工业区的表现
Pub Date : 2023-06-12 DOI: 10.1007/s40812-023-00272-2
Valter Di Giacinto, Andrea Sechi, Alessandro Tosoni
{"title":"The performance of Italian Industrial districts in and out of the 2008–2012 crisis","authors":"Valter Di Giacinto, Andrea Sechi, Alessandro Tosoni","doi":"10.1007/s40812-023-00272-2","DOIUrl":"https://doi.org/10.1007/s40812-023-00272-2","url":null,"abstract":"","PeriodicalId":38200,"journal":{"name":"Journal of Industrial and Business Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136261167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate 估算新冠肺炎大流行期间美国出口中断蔓延的社会网络分析方法:政策反应与行业关系如何相关
IF 4.6 Pub Date : 2023-06-03 DOI: 10.1007/s40812-023-00271-3
M. Brienen, L. H. Lambert, D. Lambert, John Schoeneman
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引用次数: 0
期刊
Journal of Industrial and Business Economics
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