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The impact of fiscal opacity on business confidence: empirical investigation from an emerging economy 财政不透明对商业信心的影响:一个新兴经济体的经验调查
IF 1.7 Q2 ECONOMICS Pub Date : 2024-06-18 DOI: 10.1108/jes-01-2024-0007
Helder Ferreira de Mendonça, Luciano Vereda Oliveira, Matheus Ignacio Santos Dias

Purpose

The relevance of transparency related to public finances is considered fundamental for good economic policy management. An environment of greater fiscal transparency allows the private sector greater predictability, improving the entrepreneur’s decision-making ability. This study empirically analyzes fiscal opacity’s effect on business confidence in an emerging economy.

Design/methodology/approach

We use monthly data from the Brazilian economy from January 2010 to March 2023. Based on Ordinary Least Squares (OLS) and the Generalized Method of Moments (GMM) regressions, we analyze whether fiscal opacity, measured by the signal-to-noise ratio, affects business confidence. Moreover, to evaluate the duration of a shock transmitted by the fiscal opacity on business confidence, we consider an impulse-response function generated by a Vector Auto-Regressive (VAR).

Findings

We found that fiscal opacity resulting from the lack of information to anticipate the budgetary result of the public sector deteriorates business confidence.

Practical implications

We present robust empirical evidence that allows us to assume that using a strategy to reduce fiscal opacity through mechanisms that provide reliable economic data and fiscal forecasts is essential for fiscal policy to affect business confidence positively. Reducing fiscal opacity provides greater clarity regarding the budget outcome, reduces economic uncertainty and improves the fiscal policy expectation channel.

Originality/value

This paper is the first to analyze how the lack of information for market agents to anticipate the government’s budget execution accurately (fiscal opacity) affects business confidence.

目的 公共财政透明度被认为是良好经济政策管理的基础。财政透明度越高,私营部门的可预测性就越强,从而提高企业家的决策能力。本研究实证分析了财政不透明对新兴经济体商业信心的影响。基于普通最小二乘法(OLS)和广义矩法(GMM)回归,我们分析了以信噪比衡量的财政不透明是否会影响商业信心。此外,为了评估财政不透明对商业信心的冲击持续时间,我们考虑了向量自回归(VAR)生成的脉冲响应函数。我们发现,由于缺乏信息来预测公共部门的预算结果,财政不透明导致商业信心恶化。降低财政不透明程度可使预算结果更加清晰,减少经济不确定性,改善财政政策预期渠道。
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引用次数: 0
Nonlinear impact of financial inclusion on tax revenue: evidence from the Monte-Carlo simulation algorithm under the Bayesian approach 金融包容性对税收的非线性影响:贝叶斯方法下蒙特卡洛模拟算法的证据
IF 1.7 Q2 ECONOMICS Pub Date : 2024-06-05 DOI: 10.1108/jes-01-2024-0010
Binh Nguyen The, Tran Thi Kim Oanh, Quoc Dinh Le, Thi Hong Ha Nguyen

Purpose

This article aims to study the nonlinear effect of financial inclusion on tax revenue of 21 low financial development countries (LFDCs) and 22 high financial development countries (HFDCs) from 2004 to 2020.

Design/methodology/approach

The study calculates the world average financial development index (FD̅) for all countries using data from the IMF. The average FD of HFDCs is higher than (FD̅). On the other hand, the average FD of LFDCs is lower than (FD̅). Data of 21 LFDCs and 22 HFDCs cover the period 2004–2020. With the small sample problem, we applied the Bayesian method to examine the nonlinear effect of financial inclusion on the tax revenue of the two groups of countries.

Findings

Using the Bayesian method, the results show that financial inclusion negatively impacts tax revenue with an absolute probability of 100% in LFDCs and a lower probability of 92.45% in HFDCs. Additionally, the financial inclusion threshold at LFDCs is 18.90. Below this threshold, financial inclusion promotes tax revenue with a 100% probability. On the contrary, when financial inclusion exceeds the threshold, it will have a negative effect on tax revenue. Similarly, the financial inclusion threshold at HFDCs is 20.14, with a probability of 92.45%.

Originality/value

To the best of the authors’ knowledge, this is the first paper to examine the nonlinear impact of financial inclusion on tax revenue in high and low financial development countries.

本文旨在研究 2004 年至 2020 年期间,普惠金融对 21 个低金融发展水平国家(LFDCs)和 22 个高金融发展水平国家(HFDCs)税收的非线性影响。高频发展中国家的平均金融发展指数高于 (FD̅)。另一方面,低收入发展中国家的平均金融发展水平低于 (FD̅)。21 家低频配送中心和 22 家高频配送中心的数据涵盖 2004-2020 年。在小样本问题下,我们运用贝叶斯方法考察了普惠金融对两组国家税收的非线性影响。结果运用贝叶斯方法,结果表明普惠金融对低收入发展中国家的税收产生负面影响的绝对概率为 100%,而对高收入发展中国家的影响概率较低,为 92.45%。此外,低频发展中经济体的普惠金融阈值为 18.90。低于该临界值时,普惠金融促进税收的概率为 100%。相反,当普惠金融超过临界值时,将对税收产生负面影响。同样,高频发展国家的普惠金融阈值为 20.14,概率为 92.45%。据作者所知,这是第一篇研究普惠金融对高频发展国家和低频发展国家税收的非线性影响的论文。
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引用次数: 0
Green bonds forecasting: evidence from pre-crisis, Covid-19 and Russian–Ukrainian crisis frameworks 绿色债券预测:危机前、Covid-19 和俄罗斯-乌克兰危机框架的证据
IF 1.7 Q2 ECONOMICS Pub Date : 2024-06-04 DOI: 10.1108/jes-01-2024-0061
Souhir Amri Amamou, Mouna Ben Daoud, Saoussen Aguir Bargaoui

Purpose

Without precedent, green bonds confront, for the first time since their emergence, a twofold crisis context, namely the Covid-19-Russian–Ukrainian crisis period. In this context, this paper aims to investigate the connectedness between the two pioneering bond market classes that are conventional and treasury, with the green bonds market.

Design/methodology/approach

In their forecasting target, authors use a Support Vector Regression model on daily S&P 500 Green, Conventional and Treasury Bond Indexes for a year from 2012 to 2022.

Findings

Authors argue that conventional bonds could better explain and predict green bonds than treasury bonds for the three studied sub-periods (pre-crisis period, Covid-19 crisis and Covid-19-Russian–Ukrainian crisis period). Furthermore, conventional and treasury bonds lose their forecasting power in crisis framework due to enhancements in market connectedness relationships. This effect makes spillovers in bond markets more sensitive to crisis and less predictable. Furthermore, this research paper indicates that even if the indicators of the COVID-19 crisis have stagnated and the markets have adapted to this rather harsh economic framework, the forecast errors persist higher than in the pre-crisis phase due to the Russian–Ukrainian crisis effect not yet addressed by the literature.

Originality/value

This study has several implications for the field of green bond forecasting. It not only illuminates the market participants to the best market forecasters, but it also contributes to the literature by proposing an unadvanced investigation of green bonds forecasting in Crisis periods that could help market participants and market policymakers to anticipate market evolutions and adapt their strategies to period specificities.

目的绿色债券自出现以来首次面临双重危机背景,即科维德-19-俄罗斯-乌克兰危机时期。在此背景下,本文旨在研究传统债券和国债这两种先驱债券市场类别与绿色债券市场之间的联系。设计/方法/方法在预测目标上,作者使用支持向量回归模型,对 2012 年至 2022 年的每日 S&P 500 绿色债券、传统债券和国债指数进行预测。研究结果作者认为,在所研究的三个次时期(危机前时期、Covid-19 危机时期和 Covid-19-Russian-Ukrainian 危机时期),传统债券比国债更能解释和预测绿色债券。此外,由于市场关联关系的增强,传统债券和国债在危机框架下失去了预测能力。这种效应使得债券市场的溢出效应对危机更加敏感,可预测性降低。此外,本文还指出,即使 COVID-19 危机的指标已经停滞,市场已经适应了这一相当严酷的经济框架,但由于俄罗斯-乌克兰危机效应的存在,预测误差仍然高于危机前阶段。它不仅为市场参与者提供了最佳市场预测的启示,而且还对文献做出了贡献,提出了危机时期绿色债券预测的前瞻性研究,有助于市场参与者和市场政策制定者预测市场演变并根据时期特点调整策略。
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引用次数: 0
Competency and efficacy of energy futures: empirical investigation from emerging economy 能源期货的能力和效率:新兴经济体的经验调查
IF 1.7 Q2 ECONOMICS Pub Date : 2024-06-04 DOI: 10.1108/jes-02-2024-0085
Laxmidhar Samal

Purpose

The purpose of this study is to analyze the price discovery and market efficiency of energy futures traded in India. The study also examines the volatility spillover effect between the cash and futures markets of energy commodities.

Design/methodology/approach

The study uses crude oil and natural gas spot and futures series traded at Multi Commodity Exchange (MCX), India. To evaluate the objectives, the paper employs the cointegration test, causality check, dynamic ordinary least squares (DOLS) method and Baba, Engle, Kraft and Kroner (BEKK) GARCH Model.

Findings

The study supports the long-run association between the selected markets. Unlike natural gas, in the case of crude oil bidirectional, flow of information is observed. The study rejects the unbiasedness and efficient market hypothesis of the energy futures market in India. Further, the study confirms that the selected energy commodities indicate bidirectional shock transmission between their respective cash and futures markets.

Practical implications

The study will assist the commodity market participants in designing their trading strategy. The volatility signal will be used by investors and portfolio managers for risk management and portfolio adjustment. Regulators will be able to anticipate future spillover and can design policies to strengthen the market.

Originality/value

The paper evaluates the three aspects of the energy futures market, namely price discovery, market efficiency and volatility slipover. To the best of the authors’ knowledge, studies on efficacy and shock transmission in the context of the energy futures market in India are rare. Further, the study also contributes by investigating the price discovery process of the energy futures market.

本研究旨在分析印度能源期货交易的价格发现和市场效率。本研究使用了在印度多种商品交易所(MCX)交易的原油和天然气现货及期货系列。为了评估这些目标,本文采用了协整检验、因果关系检验、动态普通最小二乘法(DOLS)和巴巴、恩格尔、卡夫和克罗纳(BEKK)GARCH 模型。与天然气不同的是,原油的信息流是双向的。研究否定了印度能源期货市场的无偏性和有效市场假说。此外,研究还证实,所选能源商品在其各自的现货市场和期货市场之间存在双向冲击传递。投资者和投资组合经理将利用波动信号进行风险管理和投资组合调整。本文从价格发现、市场效率和波动率溢出三个方面对能源期货市场进行了评估。据作者所知,有关印度能源期货市场的效率和冲击传递的研究并不多见。此外,本研究还通过调查能源期货市场的价格发现过程做出了贡献。
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引用次数: 0
Does education promote risk-taking? Evidence from Vietnam 教育是否促进冒险?越南的证据
IF 1.7 Q2 ECONOMICS Pub Date : 2024-05-20 DOI: 10.1108/jes-11-2023-0656
Dai Binh Tran, Hanh Thi My Tran

Purpose

This study examines the impact of schooling on risk perceptions and the moderation role of a non-cognitive skill, locus of control.

Design/methodology/approach

Using information from the Thailand Vietnam Socio Economic Panel data set, the study employs Generalised Method of Moments (GMM) to address the potential endogeneity problem of the schooling variable.

Findings

The findings indicate that a higher level of willingness to take risks is correlated with additional schooling years. In other words, those with higher levels of education are more prone to take more risks. The result demonstrates that the association between education and risk attitudes is moderated by locus of control.

Originality/value

This study contributes to the growing literature on education in emerging countries by addressing the endogeneity problem of schooling variables using the GMM method. Moreover, this study examines the mediating role of personal non-cognitive skills, namely locus of control, in the relationship between education and risk attitudes.

本研究探讨了学校教育对风险认知的影响,以及非认知技能--控制点--的调节作用。本研究利用泰国越南社会经济面板数据集的信息,采用广义矩方法(GMM)来解决学校教育变量的潜在内生性问题。换句话说,受教育程度越高的人越愿意承担更多风险。本研究利用 GMM 方法解决了学校教育变量的内生性问题,为有关新兴国家教育的日益增多的文献做出了贡献。此外,本研究还探讨了个人非认知技能(即控制力)在教育与风险态度之间关系中的中介作用。
{"title":"Does education promote risk-taking? Evidence from Vietnam","authors":"Dai Binh Tran, Hanh Thi My Tran","doi":"10.1108/jes-11-2023-0656","DOIUrl":"https://doi.org/10.1108/jes-11-2023-0656","url":null,"abstract":"<h3>Purpose</h3>\u0000<p>This study examines the impact of schooling on risk perceptions and the moderation role of a non-cognitive skill, locus of control.</p><!--/ Abstract__block -->\u0000<h3>Design/methodology/approach</h3>\u0000<p>Using information from the Thailand Vietnam Socio Economic Panel data set, the study employs Generalised Method of Moments (GMM) to address the potential endogeneity problem of the schooling variable.</p><!--/ Abstract__block -->\u0000<h3>Findings</h3>\u0000<p>The findings indicate that a higher level of willingness to take risks is correlated with additional schooling years. In other words, those with higher levels of education are more prone to take more risks. The result demonstrates that the association between education and risk attitudes is moderated by locus of control.</p><!--/ Abstract__block -->\u0000<h3>Originality/value</h3>\u0000<p>This study contributes to the growing literature on education in emerging countries by addressing the endogeneity problem of schooling variables using the GMM method. Moreover, this study examines the mediating role of personal non-cognitive skills, namely locus of control, in the relationship between education and risk attitudes.</p><!--/ Abstract__block -->","PeriodicalId":47604,"journal":{"name":"JOURNAL OF ECONOMIC STUDIES","volume":"51 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141061073","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: 0
Assessing the determinants of human development in OECD economies: evidence from labor productivity and investment decisions 评估经合组织经济体人类发展的决定因素:来自劳动生产率和投资决策的证据
IF 1.7 Q2 ECONOMICS Pub Date : 2024-05-20 DOI: 10.1108/jes-10-2023-0596
Olawale Daniel Akinyele

Purpose

Development has been a long-age phenomenon from the millennium to sustainability. This is because the new millennium ushered in the episode of development in the global economy from the role of inputs to the role of productivity and knowledge. Thus, understanding the forefront of initiatives to develop better policies for better lives and to find fact-based answers to social, economic, and environmental problems becomes unavoidable.

Design/methodology/approach

The study therefore assesses the impact of labor productivity and investment decisions on human development. A modified production theory was adopted for OECD economies. To address the problem of endogeneity and cross-sectional dependence, a two-step system generalized method of moments, Driscoll–Kraay estimator, and Panel Corrected Standard Error were used.

Findings

The findings reveal that the impact of labor productivity on human development differs significantly from the impact of investment decisions. The result shows that investment decisions will have a positive impact on human development when there is an insignificant capital fixed formation to boost the productivity of OECD economies. Further, the result shows that the organization governments through the provision of social security and essential services have a positive impact on the OECD human development.

Originality/value

This study has contributed significantly to assessing the drivers of human development within the purview of labor productivity, investment decisions and government expenditure in OECD countries.

目的从千年到可持续性,发展是一个长期的现象。这是因为在新千年,全球经济中的发展从投入的作用转向了生产力和知识的作用。因此,了解为改善生活而制定更好政策的前沿举措,以及为社会、经济和环境问题找到基于事实的答案变得不可避免。经合组织经济体采用了修正的生产理论。为解决内生性和横截面依赖性问题,使用了两步系统广义矩法、Driscoll-Kraay 估计器和面板校正标准误差。研究结果研究结果表明,劳动生产率对人类发展的影响与投资决策的影响存在显著差异。结果显示,当经合组织经济体的固定资本形成对提高生产率的作用不显著时,投资决策将对人类发展产生积极影响。此外,研究结果表明,组织政府通过提供社会保障和基本服务对经合组织的人类发展具有积极影响。
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引用次数: 0
How do financial inclusion and bank stability explain agricultural productivity in Sub-Saharan Africa? 金融包容性和银行稳定性如何解释撒哈拉以南非洲的农业生产力?
IF 1.7 Q2 ECONOMICS Pub Date : 2024-05-10 DOI: 10.1108/jes-09-2023-0526
Isaac Kofi Bekoe, Joshua Abor, Samuel Sekyi

Purpose

This study aims to examine the impact of financial inclusion and bank stability on agricultural productivity in Sub-Saharan Africa (SSA).

Design/methodology/approach

The study used 38 countries in the SSA with data spanning between 2004 and 2021. The data were analyzed using the two-step system generalized method of moments (GMM) and the panel-corrected standard error (PCSE) model.

Findings

The study found a positive effect of financial inclusion and bank stability on agricultural productivity. The study also discovered that while the access component of financial inclusion has a negative influence on agricultural productivity, the usage dimension has a positive impact.

Research limitations/implications

The study suggests to policymakers that an inclusive and stable financial system improves agricultural productivity. The findings recommend that policymakers should empower farmers to leverage financial inclusion.

Originality/value

This study provides insightful discussion on the impact of financial inclusion and its various dimensions and bank stability on agricultural productivity in SSA.

目的本研究旨在探讨金融包容性和银行稳定性对撒哈拉以南非洲(SSA)农业生产率的影响。研究结果研究发现,金融包容性和银行稳定性对农业生产率有积极影响。研究还发现,虽然金融包容性的获取部分对农业生产率有负面影响,但使用维度却有积极影响。研究局限性/启示研究向政策制定者建议,包容性和稳定的金融体系可提高农业生产率。研究结果表明,政策制定者应增强农民利用普惠金融的能力。原创性/价值本研究深入探讨了普惠金融及其各个层面以及银行稳定性对撒哈拉以南非洲农业生产率的影响。
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引用次数: 0
War! Good news for defense firms? Analysis of the impact of Russia–Ukraine conflict 战争国防公司的好消息?俄乌冲突影响分析
IF 1.7 Q2 ECONOMICS Pub Date : 2024-05-10 DOI: 10.1108/jes-11-2023-0667
António Miguel Martins, Pedro Correia, Ricardo Gouveia

Purpose

This paper examines the short-term market impact of the beginning of the military conflict between Russia and Ukraine (February 24, 2022) on the world’s largest defense firms.

Design/methodology/approach

The authors examine the world’s 100 largest listed defense firms at and around the beginning of the military conflict between Russia and Ukraine using an event-study methodology.

Findings

We observe a positive and statistically significant stock price reaction at and around the beginning of the military conflict. These results are consistent with the asset-pricing perspective/expected cash flow hypothesis. Consistent with the captured regulator theory, we find superior market returns for the two portfolios with a greater weight of defense sales. Superior market returns are also found for defense firms with higher R&D and capital expenditure intensity. Finally, these reactions are reinforced or mitigated by other firm-specific characteristics such as size, profitability and institutional ownership.

Originality/value

The effect of the war on stock markets has been relatively little examined in the financial theory. This study intends to fill this gap in the literature.

本文研究了俄罗斯与乌克兰之间军事冲突开始(2022 年 2 月 24 日)对全球最大国防公司的短期市场影响。作者采用事件研究法,对俄罗斯与乌克兰之间军事冲突开始时及前后的全球 100 家最大国防上市公司进行了研究。这些结果符合资产定价视角/预期现金流假说。与俘获调节器理论一致,我们发现国防销售比重较大的两个投资组合的市场回报率较高。我们还发现,研发和资本支出强度较高的国防企业的市场回报率也较高。最后,规模、盈利能力和机构所有权等公司特有的其他特征会强化或减轻这些反应。 原创性/价值 金融理论界对战争对股市的影响研究相对较少。本研究旨在填补这一文献空白。
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引用次数: 0
Gauging the dynamic interlinkage level between Fintech and the global blue economy performance 衡量金融科技与全球蓝色经济绩效之间的动态关联水平
IF 1.7 Q2 ECONOMICS Pub Date : 2024-05-07 DOI: 10.1108/jes-10-2023-0613
Le Thanh Ha
<h3>Purpose</h3><p>We investigate connections between the development of Fintech and the blue economy from September 14th, 2020, to August 11th, 2023.</p><!--/ Abstract__block --><h3>Design/methodology/approach</h3><p>In this research, we use a cutting-edge model-free connectedness approach to investigate the relationships between FinTech and blue bond volatility. Our work is the first to investigate the effects of unknown events, such as the COVID-19 pandemic and Ukraine–Russia conflicts, on the interconnection of volatility derived from FinTech development and blue bond volatility.</p><!--/ Abstract__block --><h3>Findings</h3><p>Our results highlight the two-way relationship between the development of Fintech and the blue economy during our sample period. The net total connectedness shows that the blue economy index is a net shock receiver, especially in late 2021 and the second half of 2022, while most of the fintech indexes in our sample are mainly net shock transmitters. The Ukraine–Russia tension threatens the development of a sustainable blue economy. The development of Fintech plays an important role in promoting the blue economy.</p><!--/ Abstract__block --><h3>Practical implications</h3><p>Our results have important policy implications for investors and governments, as well as methods from the spillovers across the various indicators and their interconnections. Sharp information on the primary contagions among these indicators aids politicians in designing the most appropriate policies.</p><!--/ Abstract__block --><h3>Originality/value</h3><p>Our paper contributes to the literature in at least four ways. First, as previously stated, our article is the first to investigate the relationship between FinTech and blue bond volatility. Second, this study presented a framework for studying volatility interconnections between distinct variables that is more suited to analyzing these interconnections. In this research, we use a cutting-edge model-free connectedness approach to investigate the relationships between FinTech and blue bond volatility. Third, our work is the first to investigate the effects of unknown events such as the COVID-19 pandemic and Ukraine–Russia conflicts on the interconnection of volatility deriving from FinTech development and blue bond volatility. Lastly, our research provides a daily dataset for the BNP Paribas Easy ECPI Global ESG Blue Economy UCITS ETF to analyze 50 businesses from various markets that are at the forefront of the responsible application of ocean resources and other ESG standards. The Global X FinTech ETF (FINX) and the ARK FinTech Innovation ETF (ARKF) seek exposure to companies developing financial technology innovations. The development sectors include insurance, investment, fundraising and third-party lending by utilizing cutting-edge mobile and digital technologies. Our time series runs from September 14th, 2020, to August 11th, 2023. By using this database, we provide a comprehensive an
目的我们研究了 2020 年 9 月 14 日至 2023 年 8 月 11 日期间金融科技发展与蓝色经济之间的联系。设计/方法/途径在这项研究中,我们使用了一种前沿的无模型关联性方法来研究金融科技与蓝色债券波动性之间的关系。我们的研究首次探讨了 COVID-19 大流行病和乌克兰-俄罗斯冲突等未知事件对金融科技发展衍生的波动性与蓝色债券波动性之间相互联系的影响。研究结果我们的研究结果凸显了样本期间金融科技发展与蓝色经济之间的双向关系。总净关联度显示,蓝色经济指数是净冲击接收者,尤其是在 2021 年末和 2022 年下半年,而我们样本中的大多数金融科技指数主要是净冲击传播者。乌克兰与俄罗斯的紧张局势威胁着蓝色经济的可持续发展。我们的研究结果对投资者和政府具有重要的政策意义,同时也能从不同指标的溢出效应及其相互联系中找到方法。关于这些指标之间主要传染性的敏锐信息有助于政治家设计最合适的政策。原创性/价值我们的论文至少在四个方面对文献做出了贡献。首先,如前所述,我们的文章是第一篇研究金融科技与蓝色债券波动性之间关系的文章。其次,本研究提出了一个研究不同变量之间波动性相互联系的框架,该框架更适合分析这些相互联系。在本研究中,我们采用了一种前沿的无模型关联性方法来研究金融科技与蓝色债券波动性之间的关系。第三,我们的研究首次探讨了 COVID-19 大流行病和乌克兰-俄罗斯冲突等未知事件对金融科技发展和蓝色债券波动性之间相互联系的影响。最后,我们的研究为法国巴黎银行 Easy ECPI Global ESG Blue Economy UCITS ETF 提供了每日数据集,以分析来自不同市场的 50 家企业,这些企业在负责任地应用海洋资源和其他 ESG 标准方面处于领先地位。Global X FinTech ETF(FINX)和 ARK FinTech Innovation ETF(ARKF)寻求投资于开发金融技术创新的公司。开发领域包括利用尖端移动和数字技术进行保险、投资、筹款和第三方借贷。我们的时间序列从 2020 年 9 月 14 日到 2023 年 8 月 11 日。通过使用该数据库,我们可以对不同市场产生的波动性之间的联系进行全面分析。
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引用次数: 0
Role of labor market dynamics in influencing global female labor force participation 劳动力市场动态在影响全球女性劳动力参与中的作用
IF 1.7 Q2 ECONOMICS Pub Date : 2024-04-30 DOI: 10.1108/jes-11-2023-0633
Tanaya Saha, Prakash Singh

Purpose

The global non-attainment of the Sustainable Development Goal (SDG) 5 indicates the issue of rising gender inequality. Educated women shying away from the labor force is worsening it. The labor market dynamics might shape the female labor force participation (FLFP). The present study recommends a policy framework by analyzing this dynamism across 125 countries over 1990–2020.

Design/methodology/approach

The Two-step System Generalized Method of Moments is used to address endogeneity bias. Dynamism in policy environment is captured by relaxing the Ceteris Paribus condition in the empirical model.

Findings

Results show that the moderation of labor market factors has increased with the attainment of Secondary and Tertiary Education. Results also highlight that these factors promote FLFP through prospective opportunities but also hinder female participation through employer’s discrimination despite educational attainment.

Originality/value

Studies have examined the role of education on FLFP. However, prior research has not investigated the role of labor market factors in influencing the impact of education on FLFP. The consideration of these factors will help in addressing the global policy lacuna by recommending a policy framework for enhancing FLFP through internalization of the externalities exerted by the labor market factors, and thereby, help the countries attaining the SDG 5 objectives.

目的 全球未实现可持续发展目标(SDG)5 表明性别不平等问题日益严重。受过教育的女性不愿加入劳动力大军的现象正在加剧。劳动力市场动态可能会影响女性劳动力参与率(FLFP)。本研究通过分析 1990-2020 年间 125 个国家的这种动态变化,提出了政策框架建议。结果结果表明,劳动力市场因素的调节作用随着中等教育和高等教育水平的提高而增强。结果还凸显出,这些因素通过前瞻性机会促进了 FLFP,但同时也通过雇主对女性的歧视阻碍了女性的参与,尽管她们的教育程度很高。然而,之前的研究并未调查劳动力市场因素在影响教育对 FLFP 的影响方面所起的作用。对这些因素的考虑将有助于解决全球政策空白问题,通过建议一个政策框架,将劳动力市场因素产生的外部效应内部化,从而提高家庭劳动生产率,帮助各国实现可持续发展目标 5 的各项目标。
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JOURNAL OF ECONOMIC STUDIES
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