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Impact of public sector governance and human capital development on Myanmar's economic growth 公共部门治理和人力资本发展对缅甸经济增长的影响
IF 0.5 Pub Date : 2024-04-25 DOI: 10.20885/ejem.vol16.iss1.art3
Hidekatsu Asada
Purpose ─ This research examines the effects of Myanmar's domestic economic reform measures on its economic growth, highlighting the impact of public sector governance and human capital development. Methods ─ The Toda-Yamamoto test on Granger causality and the vector error correction model are employed to examine the impact of Myanmar's domestic economic reform measures on its economic growth.Finding ─ The results reveal that unidirectional causality existed, from public sector governance to economic growth and human capital development to economic growth. The vector error correction model revealed that public sector governance and human capital development had a long-term and positive relationship with economic growth from 2001 to 2019.Implication ─ The study confirms that Myanmar's domestic economic reform measures contributed to its economic growth from 2001- 2019. These findings underpin the importance of continuing domestic economic reform, such as public sector governance and promoting human capital development, to achieve economic growth in the long run. Originality ─ This paper contributes to existing literature by shedding light on the impact of public sector governance, human capital development, and public sector governance on Myanmar's economic growth.
目的 - 本研究探讨了缅甸国内经济改革措施对其经济增长的影响,强调了公共部门治理和人力资本发展的影响。研究方法 - 采用Toda-Yamamoto格兰杰因果关系检验法和向量误差修正模型来检验缅甸国内经济改革措施对其经济增长的影响。通过向量误差修正模型可以发现,公共部门治理和人力资本发展与 2001 年至 2019 年的经济增长之间存在长期的正相关关系。这些研究结果强调了继续进行国内经济改革(如公共部门治理和促进人力资本发展)对于实现长期经济增长的重要性。独创性 - 本文阐明了公共部门治理、人力资本发展和公共部门治理对缅甸经济增长的影响,为现有文献做出了贡献。
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引用次数: 0
Impacts of unemployment benefit program on job search duration: Evidence from Indonesia 失业救济计划对求职持续时间的影响:印度尼西亚的证据
IF 0.5 Pub Date : 2024-04-08 DOI: 10.20885/ejem.vol16.iss1.art2
T. Wongkaren, Tarimantan Sanberto Saragih, Flora Aninditya, C. H. Siregar, Aditya Harin Nugroho, Rihlah Ramdoniah, Eldest Augustin, Kania Fitriani, Fergie Stevi Mahaganti, Maurizky Febriansyah
Purpose ― This study examines the impacts of the Unemployment Benefit Program (Jaminan Kehilangan Pekerjaan, JKP) on the duration of job search in Indonesia using internal data sourced from the Employment Social Security Administering Agency (Badan Penyelenggara Jaminan Sosial Tenaga Kerja, BPJS TK).Method ― The study employs the Regression Kinked Design (RKD) model and Ordinary Least Square (OLS) estimation method to analyze the data on laid-off workers who have received the JKP benefits.Findings ― The study finds that, on average, the JKP beneficiaries have a longer duration of job search than laid-off workers who do not receive benefits. An increase in the replacement rate of the JKP benefits is associated with an increased duration of both job search and benefit claims. The RKD plot indicates that a replacement rate lower than 45% may decrease the duration of benefit claims and job searches. Implication ― The study recommends that the government should consider two potential options: (1) maintaining the current level of monetary benefits that leads to a longer job search duration; in other words, the program management must continue providing benefits for the maximum duration offered (up to 6 months), or, (2) reducing the monetary benefits, if BPJS TK aims to reduce the job duration. The results may change if a more robust labor market information system is available.Originality ― This study represents the first attempt to investigate the impact of the Unemployment Benefit Program (JKP) on job search duration in Indonesia. It might also be important to enrich the existing literature on the impact of similar programs in developing countries and countries with large populations.
目的 - 本研究利用就业社会保障管理机构(Badan Penyelenggara Jaminan Sosial Tenaga Kerja, BPJS TK)的内部数据,探讨失业救济金计划(Jaminan Kehilangan Pekerjaan, JKP)对印度尼西亚求职时间的影响。方法 - 该研究采用回归关联设计(RKD)模型和普通最小二乘法(OLS)估算方法,对已领取 JKP 福利的下岗工人的数据进行分析。研究结果 - 研究发现,平均而言,JKP 受益人的求职时间长于未领取福利的下岗工人。联合KP 福利替代率的提高与求职时间和福利申请时间的延长有关。RKD 图显示,替代率低于 45%可能会减少福利申请和求职的持续时间。意义--研究建议政府应考虑两种可能的方案:(1)维持目前的货币福利水平,从而延长求职时间;换句话说,项目管理部门必须继续提供最长期限(最多 6 个月)的福利;或者(2)减少货币福利,如果 BPJS TK 的目标是缩短求职时间的话。原创性 - 本研究是印尼首次尝试调查失业救济金计划(JKP)对求职期限的影响。它对于丰富发展中国家和人口众多国家类似计划影响的现有文献也很重要。
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引用次数: 0
The role of foreign reserves in inflation dynamics 外汇储备在通货膨胀动态中的作用
IF 0.5 Pub Date : 2024-04-01 DOI: 10.20885/ejem.vol16.iss1.art1
H. Kuncoro
Purpose – Central banks’ foreign reserve stocks in emerging markets have increased substantially in recent decades. Foreign reserves accumulation has been widely believed as a shock absorber to prevent financial crises. Meanwhile, accelerating foreign reserves might be contradictory to the monetary policy objectives. This research aims to investigate the impact of foreign reserves on the inflation dynamics.Method – We apply the inflation-expectation augmented Phillips curve on the monthly data over the period of 2005(7) to 2020(12) in the case of Indonesia. Findings – We show that stockpiling foreign exchange reserves indeed has an inflationary pressure impact. The central bank's intervention in the foreign exchange market is more significant in selling rather than purchasing foreign exchange. However, the non-monetary factors also play an important role in determining inflation. Implications – Considering channels through which foreign reserves might affect inflation, our findings suggest the monetary authority should be concerned with inflationary expectations in the short term as one of the major policy-driven goals to maintain price stability in the long run.Originality – This paper contributes to the literature on monetary policy in developing countries. Unlike other empirical studies, this research employs the inflation-expectation augmented Phillips curve and accommodates the issue of asymmetric effects of the change in foreign reserves.
目的--近几十年来,中央银行在新兴市场的外汇储备存量大幅增加。人们普遍认为外汇储备的积累是防止金融危机的减震器。同时,加速外汇储备可能与货币政策目标相矛盾。本研究旨在探讨外汇储备对通货膨胀动态的影响。方法--我们在印度尼西亚 2005 年(7)至 2020 年(12)期间的月度数据上应用了通货膨胀预期增强菲利普斯曲线。研究结果 - 我们发现外汇储备确实会对通货膨胀产生压力。中央银行对外汇市场的干预在出售而非购买外汇方面更为显著。然而,非货币因素在决定通货膨胀方面也发挥着重要作用。意义--考虑到外汇储备可能影响通货膨胀的渠道,我们的研究结果表明,货币当局应关注短期内的通货膨胀预期,将其作为维持长期价格稳定的主要政策驱动目标之一。与其他实证研究不同的是,本研究采用了通货膨胀预期增强菲利普斯曲线,并考虑了外汇储备变化的非对称效应问题。
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引用次数: 0
The role of the Foreign Direct Investment inflows on export in Azerbaijan: An ARDL approach 外国直接投资流入对阿塞拜疆出口的作用:ARDL方法
Pub Date : 2023-11-01 DOI: 10.20885/ejem.vol15.iss2.art4
Maharram Huseynov Calal, Karimov Mehman Ilham, Nesirov Elcin Vaqif, Zeynalli Elay Calal, Tahirova Gulchin Mardan
Purpose ― This study aims to investigate the impact of FDI inflows on Trade in Azerbaijan from 1993 to 2021. Method ― This study uses the datasets from the World Bank Database. It employs the Augmented Dickey and Fuller (ADF), Phillips and Perron (PP), Zivot and Andrews (ZA), ARDL bounds testing approach, and the Granger Causality tests for the empirical part of the study.Findings ― The bound test shows the presence of cointegration between FDI and Export. The estimated long-run equation suggests a positive and significant relationship, whereas the estimated short-run equation indicates a positive but insignificant relationship between FDI and export. Additionally, the results of Granger causality test show a unidirectional causality running from FDI to export. Implications ― Since the FDI inflows show a positive effect on the export of Azerbaijan, most foreign investments come into the oil and gas sector. Accordingly, oil and gas products and services account for a significant share of exports in Azerbaijan. Policymakers might need new regulations to attract more attention from foreign investors to non-oil sectors.Originality/value ― There were vast studies about FDI and trade relationships in different countries with different techniques. This study is unique because it employs a new methodology and the latest dataset in which Azerbaijan was a focused area for the first time.
目的-本研究旨在调查1993年至2021年外国直接投资流入对阿塞拜疆贸易的影响。方法:本研究使用来自世界银行数据库的数据集。实证部分采用了Augmented Dickey and Fuller (ADF)、Phillips and Perron (PP)、Zivot and Andrews (ZA)、ARDL界检验方法和Granger因果检验。研究结果-约束检验显示FDI与出口之间存在协整关系。估计的长期方程表明FDI与出口之间存在积极且显著的关系,而估计的短期方程表明FDI与出口之间存在积极但不显著的关系。格兰杰因果检验结果表明,FDI与出口之间存在单向因果关系。影响-由于外国直接投资流入对阿塞拜疆的出口产生积极影响,大多数外国投资进入石油和天然气部门。因此,石油和天然气产品和服务占阿塞拜疆出口的很大份额。决策者可能需要制定新的法规,以吸引外国投资者更多地关注非石油行业。原创性/价值——有大量关于不同国家采用不同技术的外国直接投资和贸易关系的研究。这项研究是独一无二的,因为它采用了一种新的方法和最新的数据集,其中阿塞拜疆首次成为重点领域。
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引用次数: 0
The impact of population aging and fertility rate on economic growth in Malaysia 人口老龄化和生育率对马来西亚经济增长的影响
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art7
Zulkefly Abdul Karim, Nurul Aqilah Mohd Nuruddin, Bakri Abdul Karim, Massita Mohamad, Ismahalil Ishak
Purpose ― This study aims to examine the impact of population aging and fertility rates on economic growth in Malaysia for the sample spanning from 1961 to 2020.Method ― The study uses an Autoregressive Distributed Lagged (ARDL) model to examine the relationship between economic growth, the aging population, fertility rate, capital stock, and employment rate.Findings ― The main results provide evidence of a long-run relationship between aging, fertility rate, employment, and capital stock on Malaysian economic growth. The results also show that the aging population harms economic growth in the long run, but a decline in the fertility rate has been favorable to long-term economic growth.Implication ― These findings have significant implications for the execution and formulation of national aging and demographic policies and government efforts to achieve long-term fiscal sustainability.Originality ― This study empirically investigated the link between population aging and economic development, reflecting recent demographic trends in Malaysia. This study uses current data and an Autoregressive Distributed Lagged (ARDL) technique to analyze long-term economic growth and its association with supply-side determinants
目的-本研究旨在研究1961年至2020年马来西亚人口老龄化和生育率对经济增长的影响。方法:采用自回归分布滞后(ARDL)模型考察经济增长与人口老龄化、生育率、资本存量、就业率之间的关系。研究结果-主要结果为老龄化、生育率、就业和资本存量对马来西亚经济增长的长期关系提供了证据。从长期来看,人口老龄化不利于经济增长,但生育率的下降有利于经济的长期增长。启示-这些发现对国家老龄化和人口政策的执行和制定以及政府实现长期财政可持续性的努力具有重要意义。原创性-本研究实证调查了人口老龄化与经济发展之间的联系,反映了马来西亚最近的人口趋势。本研究使用当前数据和自回归分布滞后(ARDL)技术来分析长期经济增长及其与供给侧决定因素的关系
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引用次数: 0
Examining entry and exit rates of poverty in Turkey: A dynamic probit regression analysis 考察土耳其的贫困率:动态probit回归分析
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art5
Mustafa Bilik
Purpose: The purpose of this study is to add to the current poverty dynamics literature by investigating the underlying causes of poverty persistence in Turkey, with an emphasis on both entry and exit rates. Methods: The study analyzes data from the Turkish Statistical Institute's "Survey on Income and Living Conditions" from 2018 to 2021 using dynamic probit models. This large dataset, which gives a detailed picture of socioeconomic situations, helps in properly understanding the complex aspects influencing poverty rates. Findings: The analysis reveals significant poverty persistence in Turkey, influenced by factors such as gender, marital status, employment, and health conditions. According to the research, these variables frequently interact, forming a complex structure that maintains poverty throughout the country. Implications: The findings necessitate targeted interventions to address persistent poverty, considering the diverse influencing factors. This could lead to a reduction in poverty rates and improved socioeconomic conditions for individuals. Originality/Value: This study offers a unique perspective on poverty dynamics in Turkey, focusing on both entry and exit rates. It provides valuable insights for those formulating policies or strategies aimed at poverty reduction, emphasizing the need for a comprehensive approach to poverty alleviation.
目的:本研究的目的是通过调查土耳其贫困持续存在的根本原因,重点是进入率和退出率,来补充当前的贫困动态文献。 方法:采用动态probit模型分析土耳其统计局2018 - 2021年“收入和生活条件调查”数据。这个庞大的数据集提供了社会经济状况的详细情况,有助于正确理解影响贫困率的复杂方面。调查结果:分析显示,受性别、婚姻状况、就业和健康状况等因素的影响,土耳其的贫困状况持续存在。根据研究,这些变量经常相互作用,形成一个复杂的结构,维持了全国的贫困。 含义:考虑到各种影响因素,研究结果需要有针对性的干预措施来解决持续贫困问题。这可能导致贫困率的降低和个人社会经济条件的改善。原创性/价值:本研究对土耳其的贫困动态提供了一个独特的视角,重点关注进入率和退出率。它为制订旨在减少贫穷的政策或战略的人提供了宝贵的见解,强调需要对减轻贫穷采取综合办法。
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 Methods: The study analyzes data from the Turkish Statistical Institute's \"Survey on Income and Living Conditions\" from 2018 to 2021 using dynamic probit models. This large dataset, which gives a detailed picture of socioeconomic situations, helps in properly understanding the complex aspects influencing poverty rates.
 Findings: The analysis reveals significant poverty persistence in Turkey, influenced by factors such as gender, marital status, employment, and health conditions. According to the research, these variables frequently interact, forming a complex structure that maintains poverty throughout the country.
 Implications: The findings necessitate targeted interventions to address persistent poverty, considering the diverse influencing factors. This could lead to a reduction in poverty rates and improved socioeconomic conditions for individuals.
 Originality/Value: This study offers a unique perspective on poverty dynamics in Turkey, focusing on both entry and exit rates. It provides valuable insights for those formulating policies or strategies aimed at poverty reduction, emphasizing the need for a comprehensive approach to poverty alleviation.","PeriodicalId":41472,"journal":{"name":"Economic Journal of Emerging Markets","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135929453","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
The externalities of solid fuel CO2 emissions on rice production: A time series analysis for Pakistan 固体燃料二氧化碳排放对水稻生产的外部性:巴基斯坦的时间序列分析
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art8
Mansoor Mushtaq, Arshad Mahmood Malik, Gulnaz Hameed
Purpose ― This study examines the externalities of CO2 emissions from solid fuel consumption on rice production in Pakistan using time series data from 1984 to 2021. Methods ― The independent variables include CO2 emissions from solid fuel consumption, cultivated area, agricultural equipment, tube wells, and improved seed, whereas the dependent variable is rice production. A robust analysis was done by altering the solid fuel CO2 emissions proxy. The empirical study used the vector error correction model and Johansen's cointegration test.Findings ― Solid fuel CO2 emissions negatively and significantly impact rice production, implying that solid fuel CO2 emissions decrease rice production. Tube wells have a negative and significant influence on rice production. Conversely, cropped land, agricultural machinery, and improved seeds boosted rice production. The results remained robust even when the proxy for solid fuel CO2 emissions was changed. Implications ― The study recommends developing regulations to limit solid fuel CO2 emissions to prevent environmental degradation and increase rice production. To boost rice production, more land should be farmed, agricultural machinery should be employed, and improved seeds should be used.Originality ― This study is the first to examine the impact of CO2 emissions from solid fuel consumption on rice production in Pakistan
目的:本研究利用1984年至2021年的时间序列数据,考察了巴基斯坦固体燃料消耗产生的二氧化碳排放对水稻生产的外部性。方法-自变量包括固体燃料消耗、耕地面积、农业设备、管井和改良种子产生的二氧化碳排放量,而因变量是水稻产量。通过改变固体燃料二氧化碳排放代理,进行了稳健的分析。实证研究采用向量误差修正模型和Johansen协整检验。研究结果-固体燃料二氧化碳排放对水稻产量产生负面和显著影响,这意味着固体燃料二氧化碳排放会降低水稻产量。管井对水稻生产有显著的负面影响。相反,种植的土地、农业机械和改良的种子提高了水稻产量。即使改变了固体燃料二氧化碳排放量的代表,结果仍然是可靠的。影响——该研究建议制定限制固体燃料二氧化碳排放的法规,以防止环境退化和增加水稻产量。为了提高水稻产量,应该开垦更多的土地,使用农业机械,使用改良的种子。原创性:这项研究首次考察了固体燃料消耗产生的二氧化碳排放对巴基斯坦水稻生产的影响
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引用次数: 0
Labor market distortions in major emerging-market economies: Some CGE estimates 主要新兴市场经济体的劳动力市场扭曲:一些CGE估计
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art2
Pablo R. Liboreiro
Purpose ― In the present study, the effects of labor market distortions on economic structure and efficiency are estimated for seven emerging-market countries: Brazil, China, Indonesia, India, Mexico, Russia, and Turkey. Methods ― The estimates are based on a computable equilibrium (CGE) model that allows simulation of the inter-industry links of 56 industries plus a sector representing the rest of the world from data collected in the World Input-Output Database (Release 2016) for the period 2000-2014. Findings ― The results show that wage differentials appear to be distortionary, especially in the cases of countries with high wage-income inequality. Moreover, it seems that labor market distortions in emerging-market countries are subject to the rural-urban dichotomy and urban labor-market imperfections. Finally, the results show that the removal of wage differentials affects the terms of trade, which are improved in most but not all cases.Implication ― The conclusions of the present study have policy implications. In countries where the rural-urban dichotomy is the main distortion in labor markets, increasing urbanization can stimulate efficiency; when this is not the case, further reform of urban labor markets is needed. However, it cannot be ruled out in advance that a policy aimed at enhancing labor mobility may have a negative impact on the terms of trade. Originality ― The estimation method used in the present study presents certain advances over others found in the literature, as it becomes possible to estimate the effects of labor-market distortions while considering the interdependencies between different sectors, as well as to plausibly estimate the effects on trade. The present study also uses a large quantity of data, which is expected to add robustness to the study’s conclusion.
目的:本研究估计了劳动力市场扭曲对七个新兴市场国家经济结构和效率的影响:巴西、中国、印度尼西亚、印度、墨西哥、俄罗斯和土耳其。方法:估算基于可计算均衡(CGE)模型,该模型允许从世界投入产出数据库(2016年发布)收集的2000-2014年期间的数据中模拟56个行业和代表世界其他地区的行业间联系。研究结果-研究结果表明,工资差异似乎具有扭曲性,特别是在工资收入不平等程度高的国家。此外,新兴市场国家的劳动力市场扭曲似乎受到城乡二元对立和城市劳动力市场不完善的影响。最后,研究结果表明,工资差异的消除影响了贸易条件,在大多数情况下,贸易条件得到了改善,但不是全部。含义-本研究的结论具有政策含义。在城乡二元对立是劳动力市场主要扭曲的国家,提高城市化水平可以刺激效率;如果情况并非如此,就需要进一步改革城市劳动力市场。但是,也不能排除以提高劳动流动性为目的的政策对贸易条件产生负面影响的可能性。原创性-本研究中使用的估计方法比文献中发现的其他方法有一定的进步,因为它可以在考虑不同部门之间的相互依赖性的同时估计劳动力市场扭曲的影响,并合理地估计对贸易的影响。本研究还使用了大量的数据,有望增加研究结论的稳健性。
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引用次数: 0
Impact of industrialization and renewable energy on carbon dioxide emission in 9 ASEAN countries 工业化和可再生能源对东盟9国二氧化碳排放的影响
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art6
Barbara Claire, Diah Widyawati
Purpose ― This research investigates the relationship between ASEAN's industrialization, renewable energy, and CO2 emissions. The primary objectives are to assess the existence of the Environmental Kuznets Curve (EKC) in ASEAN and to explore the potential mediating effect of renewable energy in the relationship between industrialization and CO2 emissions.Methods ― The study utilizes the PMG-ARDL estimation method in nine ASEAN countries from 1990 to 2019, providing short- and long-term analyses of the variables involved.Findings ― The finding reveals the presence of the EKC in ASEAN in the short term for most member states. It also finds that renewable energy mediates the relationship between industrial value-added and CO2 emissions, with renewable energy adoption altering the turning point of per capita CO2 emissions during industrialization in several ASEAN nations.Implication ― The findings suggest that transitioning to renewable energy can help mitigate the environmental impact of ASEAN’s industrial development. Thus, member states committed to energy targets should prioritize deploying renewable energy in their industrial sectors to achieve environmental benefits.Originality ― This research contributes to the existing literature by specifically examining the interplay between industrialization, renewable energy, and CO2 emissions in ASEAN. The use of the PMG-ARDL estimation method and the focus on the mediating role of renewable energy add originality to the study.
目的:本研究探讨东盟工业化、可再生能源与二氧化碳排放之间的关系。主要目标是评估东盟是否存在环境库兹涅茨曲线(EKC),并探讨可再生能源在工业化与二氧化碳排放之间关系中的潜在中介作用。方法:本研究在1990年至2019年期间对九个东盟国家进行了PMG-ARDL估计,对所涉及的变量进行了短期和长期分析。调查结果-调查结果显示,短期内大多数东盟成员国都存在EKC。研究还发现,可再生能源在工业增加值与二氧化碳排放之间起到中介作用,在一些东盟国家,可再生能源的采用改变了工业化过程中人均二氧化碳排放的拐点。启示-研究结果表明,向可再生能源过渡有助于减轻东盟工业发展对环境的影响。因此,致力于实现能源目标的成员国应优先在其工业部门部署可再生能源,以实现环境效益。原创性-本研究通过具体考察东盟工业化、可再生能源和二氧化碳排放之间的相互作用,对现有文献做出了贡献。PMG-ARDL估计方法的使用以及对可再生能源中介作用的关注为本研究增添了新意。
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引用次数: 0
Measuring fintech-driven financial inclusion for developing countries: Comprehensive Digital Financial Inclusion Index (CDFII) 衡量发展中国家金融科技驱动的普惠金融:综合数字普惠金融指数(CDFII)
Pub Date : 2023-10-31 DOI: 10.20885/ejem.vol15.iss2.art3
Banna Banik, Chandan Kumar Roy
Purpose ― The main objective of this study is to develop a comprehensive digital financial inclusion index (CDFII) that accounts for technology-driven financial inclusion and to compare it with a traditional financial inclusion index (TFII) to enhance the measurement of fintech-driven financial inclusion across countries.Methods ― The study employs a three-stage principal component analysis (PCA) to construct the CDFII and TFII using the latest available data from 31 developing countries during the period 2015-2021. The CDFII incorporates a new sub-index measuring individual literacy levels for using financial services, along with existing sub-indices capturing the penetration, availability, and usage of DFS. By integrating digital financial inclusion (DFII) and TFII, the overall CDFII is estimated.Findings ― The findings reveal that the levels of DFII and CDFII are higher than TFII for most of the economies examined. This indicates the significant impact of technology-driven financial inclusion in expanding access to formal banking and non-banking financial services for previously unbanked populations.Implication ― The study implies that policymakers and researchers should prioritize the integration of technology-driven financial inclusion indicators, such as the comprehensive digital financial inclusion index (CDFII), into their assessments and interventions to ensure a more accurate and effective approach to promoting inclusive and sustainable economic development.Originality ― This study introduces the CDFII as a novel comprehensive index that addresses the shortcomings of traditional financial inclusion indices. By incorporating individual skill levels and considering dimensions specific to DFS, the CDFII provides a more accurate representation of fintech-driven financial inclusion levels. This contributes to the existing literature on financial inclusion measurement and provides a valuable analytical tool for researchers and policymakers.
目的-本研究的主要目标是制定一个综合的数字普惠金融指数(CDFII),该指数考虑了技术驱动的普惠金融,并将其与传统的普惠金融指数(TFII)进行比较,以加强对各国金融技术驱动的普惠金融的衡量。方法:本研究采用三阶段主成分分析(PCA),利用2015-2021年31个发展中国家的最新数据构建CDFII和TFII。CDFII纳入了一个新的分类指数,衡量个人使用金融服务的知识水平,以及现有的分类指数,反映DFS的渗透、可用性和使用情况。通过整合数字普惠金融(DFII)和数字普惠金融(TFII),估算出总体的数字普惠金融(CDFII)。调查结果-调查结果显示,大多数经济体的DFII和CDFII水平高于TFII。这表明,技术驱动的普惠金融对扩大以前没有银行账户的人口获得正规银行和非银行金融服务的机会产生了重大影响。启示-该研究表明,政策制定者和研究人员应优先将技术驱动的普惠金融指标(如综合数字普惠金融指数(CDFII))纳入其评估和干预措施中,以确保采用更准确、更有效的方法促进包容性和可持续经济发展。创新——本研究引入CDFII作为一种新颖的综合指标,解决了传统普惠金融指标的不足。通过纳入个人技能水平并考虑DFS特有的维度,CDFII更准确地反映了金融科技驱动的普惠金融水平。这对现有的普惠金融测量文献有所贡献,为研究人员和政策制定者提供了有价值的分析工具。
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引用次数: 0
期刊
Economic Journal of Emerging Markets
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