Infrastructure and Economic Growth: Evidence from Lower Middle-Income Countries

2022 ◽  
Author(s):  
Rimsha Irshad ◽  
Mehr-un-Nisa ◽  
Naghmana Ghafoor
Keyword(s):  
Economic Growth ◽  
Middle Income ◽  
Middle Income Countries

scholarly journals Foreign aid on economic growth in Africa: A comparison of low and middle-income countries

2015 ◽  
Vol 18 (4) ◽  
pp. 449-462 ◽  
Author(s):  
Aye Mengistu Alemu ◽  
Jin-Sang Lee
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Low Income ◽  
Empirical Studies ◽  
Critical Role ◽  
Generalized Method Of Moments ◽  
African Countries ◽  
Middle Income ◽  
Middle Income Countries ◽  
Theoretical Hypothesis

Previous empirical studies on the effects of foreign aid on economic growth have generated mixed results that make it difficult to draw policy recommendations. The main reason for such mixed results is the choice of a single aggregate list of countries, regardless of the disparities in levels of development. This study therefore fills the development gap by disaggregating the African data into a panel of 20 middle- income and 19 low- income African countries over a period of 15 years between 1995 and 2010, and employing a dynamic generalized method of moments (GMM) model to address the dynamic nature of economic growth as well as the problems of endogeneity. The results of this study support the theoretical hypothesis that a positive relationship between aid and GDP growth exists, but only for low-income African countries, not middle-income ones. On the other hand, the study reveals that middle- income African countries tend to experience a greater impact on their economic growth from foreign direct investment (FDI) and natural resources revenues, mainly oil exports. This implies that the frequent criticism that foreign aid has not contributed to economic growth is flawed, at least in the case of low-income African countries. In fact, foreign aid has played a critical role in stimulating economic growth in such countries through supplementing domestic sources of finance such as savings, thus increasing the amount of investment and capital stock in them.

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

2021 ◽  
Vol 235 ◽  
pp. 01019
Author(s):  
Siming Jia
Keyword(s):  
Economic Growth ◽  
Empirical Test ◽  
Statistical Significance ◽  
High Income ◽  
Capital Account ◽  
Middle Income ◽  
Middle Income Countries ◽  
National Differences ◽  
The Impact ◽  
Low And Middle Income

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.

scholarly journals Immunisation financing and programme performance in the Middle East and North Africa, 2010 to 2017

2019 ◽  
Vol 4 (2) ◽  
pp. e001248
Author(s):  
Helen Saxenian ◽  
Nahad Sadr-Azodi ◽  
Miloud Kaddar ◽  
Kamel Senouci
Keyword(s):  
Economic Growth ◽  
Middle East ◽  
North Africa ◽  
Low Income ◽  
Health Sector ◽  
Cost Effective ◽  
Middle Income ◽  
Middle Income Countries ◽  
Life Saving ◽  
Fiscal Space

Immunisation is a cornerstone to primary health care and is an exceptionally good value. The 14 low-income and middle-income countries in the Middle East and North Africa region make up 88% of the region’s population and 92% of its births. Many of these countries have maintained high immunisation coverage even during periods of low or negative economic growth. However, coverage has sharply deteriorated in countries directly impacted by conflict and political unrest. Approximately 1.3 million children were not completely vaccinated in 2017, as measured by third dose of diphtheria–pertussis–tetanus vaccine. Most of the countries have been slow to adopt the newer, more expensive life-saving vaccines mainly because of financial constraints and the socioeconomic context. Apart from the three countries that have had long-standing assistance from Gavi, the Vaccine Alliance, most countries have not benefited appreciably from donor and partner activities in supporting their health sector and in achieving their national and subnational immunisation targets. Looking forward, development partners will have an important role in helping reconstruct health systems in conflict-affected countries. They can also help with generating evidence and strategic advocacy for high-priority and cost-effective services, including immunisation. Governments and ministries of health would ensure important benefits to their populations by investing further in their immunisation programmes. Where possible, the health system can create and expand fiscal space from efficiency gains in harmonising vaccine procurement mechanisms and service integration; broader revenue generation from economic growth; and reallocation of government budgets to health, and from within health, to immunization.

The dynamic relationships between the female labour force and the economic growth

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Durmuş Çağrı Yıldırım ◽  
Hilal Akinci
Keyword(s):  
Economic Growth ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Female Labour Force Participation ◽  
Middle Income ◽  
Female Labour ◽  
Content Type ◽  
Middle Income Countries ◽  
Total Labour

PurposeIn this study, the relationship between female labour force participation rate and economic growth is investigated in middle-income countries. The study covers the period of 2001–2016 by employing a dynamic panel approach. Pooled Ordinary Least Square and Fixed Effects model estimations are calculated as a decision criterion to select proper GMM Method. The outcomes indicate that the proper estimation technique, which is a System-GMM model, evidences the U Feminisation Theory for the middle-income countries while controlling all other factors.Design/methodology/approachThe novelty of this study is that the research not only employs both difference and system generalised method of moments (GMM) estimators but also includes main explanatory variables such as education, fertility, and total labour force rate. The study provides an opportunity to review the U-shape nexus between the female labour force and economic growth while controlling education, fertility and total labour participation rate.FindingsThe estimation implies that middle-income countries support a U-shaped relationship. The fertility rate does not impact on the female labour force, and education and total labour force level have a positive influence on women's participation in the labour market.Research limitations/implicationsThis study used data that include the period of 2001–2016 for middle-income countries. So, further studies can use different periods of data or different countries.Practical implicationsThe authors emphasise the importance of economic growth for female labour force for middle-income countries. Thus, a country intending to increase female labour force should also focus on its economic growth. As the study points out, middle-income countries staying under the minimum threshold, $4698.15 (per capita), should priorities their economic improvement policies to reach their female labour force participation goal. Those countries also should be prepared for a female labour force participation declining phase until they reach the turning point income level.Social implicationsFurthermore, education is one of the critical determinants that have an impact on FLFPR. The equal opportunity for both genders to engage in education should be considered as a policy. If females do not have an equal chance to enrolment in education, it may influence the policy of increasing female labour force adversely. Fertility rate appears no more statistically significant in our study. Moreover, today, there are some countries they practise equality between genders by providing equally extended parental leave, which may be a promising policy for gender equality in the labour force and may worth a try.Originality/valueSome previous studies may suffer model mistakes due to lack of consideration the endogeneity problem and bias issue of the results as suggested by Tam (2011). Moreover, previous studies tend to choose either studying U-feminisation as excluding other variables or studying determinants of female labour force participation rate as excluding U-feminisation theory. There is not any panel data study acknowledging both concepts by using recent data to the best knowledge of the authors. Thus, the novelty of this study is that the research not only employs both difference and system generalised method of moments (GMM) estimators but also includes main explanatory variables such as education, fertility, and total labour force rate. The study provides an opportunity to review the U-shape nexus between the female labour force and economic growth while controlling education, fertility and total labour participation rate.

scholarly journals Machine-learned patterns suggest that diversification drives economic development

2020 ◽  
Vol 17 (162) ◽  
pp. 20190283 ◽  
Author(s):  
Charles D. Brummitt ◽  
Andrés Gómez-Liévano ◽  
Ricardo Hausmann ◽  
Matthew H. Bonds
Keyword(s):  
Economic Growth ◽  
Social Systems ◽  
Theoretical Models ◽  
Machine Learning Techniques ◽  
Product Complexity ◽  
Middle Income ◽  
Middle Income Countries ◽  
Learning Techniques ◽  
Extra Weight ◽  
Smooth Dynamics

We combine a sequence of machine-learning techniques, together called Principal Smooth-Dynamics Analysis (PriSDA), to identify patterns in the dynamics of complex systems. Here, we deploy this method on the task of automating the development of new theory of economic growth. Traditionally, economic growth is modelled with a few aggregate quantities derived from simplified theoretical models. PriSDA, by contrast, identifies important quantities. Applied to 55 years of data on countries’ exports, PriSDA finds that what most distinguishes countries’ export baskets is their diversity, with extra weight assigned to more sophisticated products. The weights are consistent with previous measures of product complexity. The second dimension of variation is proficiency in machinery relative to agriculture. PriSDA then infers the dynamics of these two quantities and of per capita income. The inferred model predicts that diversification drives growth in income, that diversified middle-income countries will grow the fastest, and that countries will converge onto intermediate levels of income and specialization. PriSDA is generalizable and may illuminate dynamics of elusive quantities such as diversity and complexity in other natural and social systems.

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