scholarly journals Capital account opening and economic growth——an empirical test based on systematic GMM

2021 ◽  
Vol 235 ◽  
pp. 01019
Author(s):  
Siming Jia

This paper collected panel data of 74 countries from 1990 to 2017, and based on the Chinn-It index to depict the degree of capital account opening. Under the framework of the neoclassical economic growth model, the impact of capital account opening on economic growth was empirically tested by systematic GMM. The results show that: first, taking the overall capital account openness as the explanatory variable, the coefficient of the capital account openness of the whole sample is significantly positive. Further, considering the national differences found that high income countries capital account openness coefficient is significantly positive, but in low and middle-income countries capital account openness coefficient on economic and statistical significance were not significant, indicating that high income countries made open dividends, while in low and middle-income countries and earnings in the capital account liberalization. Finally, it proposes to open the capital account sub-projects step by step, strengthen prudent supervision in the process of further opening the capital account, and improve the regulatory legal system.

2021 ◽  
Author(s):  
Siân Herbert ◽  
Heather Marquette

This paper reviews emerging evidence of the impact of COVID-19 on governance and conflict, using a “governance and conflict first” approach in contrast to other research and synthesis on COVID-19 in the social sciences that tends to be structured through a public health lens. It largely focuses on evidence on low- and middle-income countries but also includes a number of examples from high-income countries, reflecting the global nature of the crisis. It is organised around four cross-cutting themes that have enabled the identification of emerging bodies of evidence and/or analysis: Power and legitimacy; Effectiveness, capacity, and corruption; Violence, unrest, and conflict; and Resilience, vulnerability, and risk. The paper concludes with three over-arching insights that have emerged from the research: (1) the importance of leadership; (2) resilience and what “fixing the cracks” really means; and (3) why better ways are needed to add up all the “noise” when it comes to COVID-19 and evidence.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Nabeel Safdar ◽  
Tian Lin ◽  
Saba Amin

Purpose This study, a symposium, aims to explore the determinants of financial inclusion, impact of cross-country income-variations on financial inclusion, do high-income countries really uplift the financial inclusion and does the higher financial inclusion index indicate the larger economy? Design/methodology/approach This study adopts the panel data model to investigate the impact of high-income countries and low- and middle-income countries on financial inclusion. However, this study further adopts the principal component analysis rather than Sarma’s approach to calculate the financial inclusion index. Findings Based on the Data of World Bank, United Nations, International Monetary Fund, World Development Indicators, this study concludes that there is no nexus between income variations and financial inclusion, as the study reveals that some low- and middle-income countries have greater financial inclusion index such as Thailand (2.8538FII), Brazil (1.9526FII) and Turkey (0.8582FII). In low- and middle-income countries, the gross domestic product per capita, information technology and communication, the rule of law, age dependency ratio and urbanization have a noteworthy impact on financial inclusion that accumulatively describe the 83% of the model. Whereas, in high-income countries, merely, information technology and urbanization have a substantial influence on the growth of financial revolution and financial inclusion that describes the 70% of the total. Research limitations/implications The biggest limitation is the availability of data from different countries. Originality/value The originality of this paper is its technique, which is used in this paper to calculate the financial inclusion index. Furthermore, this study contributes to 40 different countries based on income, which could help to boost financial inclusion, and ultimately, it leads them toward economic growth.


2020 ◽  
Vol 11 (4) ◽  
pp. 951-959 ◽  
Author(s):  
Jenna L Moodie ◽  
Susan C Campisi ◽  
Kristen Salena ◽  
Megan Wheatley ◽  
Ashley Vandermorris ◽  
...  

ABSTRACT Despite increasing global attention to adolescent health in low- and middle-income countries (LMICs), limited literature exists on the timing of pubertal development in these settings. This study aimed to determine the age at menarche (AAM) and age of puberty onset [female Tanner Stage Breast 2 (B2) and male Tanner Stage Genital 2 (G2)] among healthy adolescents living in LMICs. It also aimed to explore the impact of nutritional status on pubertal timing in this population. MEDLINE, Embase, Cochrane CENTRAL, Web of Science, Scopus, and grey literature databases were searched. Observational studies and control arms of randomized controlled trials (RCTs) with healthy participants from LMICs born in or after 1998 were included. Pooled estimates with 95% CIs were calculated by random-effects meta-analyses using the DerSimonian and Laird inverse variance method for each pubertal milestone and by BMI category subgroups. Twenty-seven studies were included in the meta-analysis, representing 90,188 adolescents (78.3% female). Pooled mean estimates for AAM for normal, thin, and overweight BMI groupings were 12.3 y (95% CI: 12.1, 12.5), 12.4 y (95% CI: 12.2, 12.6), and 12.1 y (95% CI: 11.7, 12.5), respectively. For Tanner Stage B2, pooled mean age estimates for normal, thin, and overweight BMI groupings were 10.4 y (95% CI: 9.2, 11.6), 10.2 y (95% CI: 9.3, 11.4), and 8.4 y (95% CI: 6.8, 10.0), respectively. Finally, for Tanner Stage G2, pooled mean estimates for normal, thin, and overweight BMI groupings were 11.0 y (95% CI: 10.3, 11.7), 11.3 y (95% CI: 9.8, 12.9), and 10.3 y (95% CI: 10.0, 10.6), respectively. Data on the timing of pubertal milestones has traditionally come from high-income settings. In this systematic review of contemporary data from adolescents in LMICs, AAM, as well as age at pubertal onset, were similar to those reported from high-income settings.


2018 ◽  
Vol 45 (2) ◽  
pp. 283-295 ◽  
Author(s):  
Arshad Hayat

PurposeThe purpose of this paper is to investigate the foreign direct investments (FDI)-growth nexus and the impact of natural resource abundance in the host country on the FDI-growth nexus.Design/methodology/approachFor a large data set of 104 countries for the period 1996-2015, Arellano and Bond’s GMM estimation method is applied to investigate the impact of FDI inflow on economic growth and the role of the natural resource sector on the FDI-growth relationship.FindingsThe paper found a positive and significant effect of FDI inflows on economic growth of the host country. However, the impact of FDI inflows on economic growth changes with the changes in the size of the natural resource sector. The estimated positive impact of FDI inflows on economic growth declines with the expansion in the size of natural resources. Beyond a certain limit, a further expansion in the size of natural resource sector will lead to a negative effect of FDI on economic growth.Research limitations/implicationsThe paper found a positive and significant impact of FDI inflows on economic growth of the host country. However, the impact of FDI inflows on economic growth changes with the changes in the size of the natural resource sector. The estimated positive impact of FDI inflows on economic growth declines with the expansion in the size of the natural resources. Beyond a certain limit, a further expansion in the size of the natural resource sector will lead to a negative effect of FDI on economic growth. The same analysis is repeated for groups of countries divided into different income groups. FDI inflows are found to have significant growth enhancing role in all three groups of countries. However, FDI inflows-induced growth was found to be more pronounced in the middle- and low-income countries compared to high-income countries. Further, FDI-induced economic growth is slowed down in low-income and middle-income countries by the increase in size of the natural resource sector. While in high-income countries, the size of the natural resource sector has no significant role on the FDI-growth nexus.Practical implicationsWhile countries use their natural resource sector as an instrument to attract FDI into the countries, low- and middle-income countries face the dilemma of experiencing the resource curse in the form of watered down FDI-induced growth. Therefore, low- and middle-income countries need to try at the same time to attract FDI into the non-resources sector to keep the relative size of the natural resource sector low as to avoid hampering the FDI-induced economic growth. High-income countries, on the other hand, do not experience the FDI-induced growth hampering impact of the natural resource sector. Therefore, high-income countries should attract FDI into the countries regardless of the sector attracting the foreign investments.Originality/valueThe paper is part of the author’s PhD research and is an original contribution.


Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 1038
Author(s):  
Ana Carolina B. Leme ◽  
Sophia Hou ◽  
Regina Mara Fisberg ◽  
Mauro Fisberg ◽  
Jess Haines

Research comparing the adherence to food-based dietary guidelines (FBDGs) across countries with different socio-economic status is lacking, which may be a concern for developing nutrition policies. The aim was to report on the adherence to FBDGs in high-income (HIC) and low-and-middle-income countries (LMIC). A systematic review with searches in six databases was performed up to June 2020. English language articles were included if they investigated a population of healthy children and adults (7–65 years), using an observational or experimental design evaluating adherence to national FBDGs. Findings indicate that almost 40% of populations in both HIC and LMIC do not adhere to their national FBDGs. Fruit and vegetables (FV) were most adhered to and the prevalence of adhering FV guidelines was between 7% to 67.3%. HIC have higher consumption of discretionary foods, while results were mixed for LMIC. Grains and dairy were consumed below recommendations in both HIC and LMIC. Consumption of animal proteins (>30%), particularly red meat, exceeded the recommendations. Individuals from HIC and LMIC may be falling short of at least one dietary recommendation from their country’s guidelines. Future health policies, behavioral-change strategies, and dietary guidelines may consider these results in their development.


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