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This paper investigates the role of infrastructure aid to developing countries beset with unemployment. Since unemployment persists in most developing countries with chronic foreign debts, the impact of infrastructure aid is analyzed using an extended Harris–Todaro model with two traded good sectors and a nontraded good sector. The paper delineates sufficient conditions under which infrastructure aid may lead to a Dutch disease effect.

The purpose of this study is to analyze the two-way causal nexus between macroeconomic factors such as foreign aid, industrialization, economic growth, population growth, urbanization, control of corruption and the infrastructure development index of the top-ranking African countries from 2003 to 2018.

The study adopts various econometric tools such as cross-sectional dependence test, panel unit root and cointegration test and Dumitrescu and Hurlin panel Granger causality test in ascertaining the relevant relationships between the variables under consideration.

The main findings of the Granger causality test result revealed a bidirectional causal relationship between foreign aid and infrastructure and between urbanization and infrastructure. The study also found unidirectional causality running from population growth to infrastructure while a zero causal relationship existed between industrialization and infrastructure, economic growth and infrastructure and lastly, between control of corruption and infrastructure. The study concludes that the major macroeconomic factors that influence infrastructure development in these selected African countries are foreign aid, population explosion and urbanization. Also, their high infrastructure development index has causal influence in only attracting more foreign aid and also promoting urban expansion.

To the best of the author's knowledge, the study is unique as it is the first to determine the two-way causal nexus between macroeconomic factors and infrastructure development using a sample of the top ten African countries in infrastructure ranking. The findings reflect the current situation in Africa.

This paper presents three models of funding health care in 130 developing countries, based upon a public system, a private system and personal remittances.

The authors trace the funding of health from foreign aid to health funding and health outcomes in the public system, foreign direct investment to health funding in the private system, and personal remittances to health outcomes. This is followed by panel data, fixed effects models subjected to 2-, 3- and 4-stage least squares regressions.

Findings from the first model were that aid in the form of Technical Cooperation Grants funded Infrastructure. Infrastructure Spending due to aid funds Government Health Plans, which reduced the Incidence of Tuberculosis, which in turn reduced Undernourishment and increases Life Expectancy. Other positive health outcomes included reduced Birth Rate and reduced Maternal Mortality. In the second model, Foreign Direct Investment increased Female Employment and GDP per Person, funding Private Health Plans, which increase Life Expectancy, reduced Undernourishment, increased Skilled Care at Birth, increased the Number of Hospital Beds, reduced Maternal Mortality and increased the Birth Rate. In the third model, Remittances influenced both Out-of-Pocket Medical Expenses and Private Plans.

Publicly funded programs may be directed to nutrition, increasing life expectancy. Private funding may be directed to improving maternal conditions, with remittances removing the liquidity constraints.

This paper is the first attempt to trace health funding from its sources of foreign aid, foreign direct investment and personal remittances using three separate paths.

South Asia has been an important destination of foreign aid over the past decades. Since a large part of aid is disbursed for social and economic infrastructure development in South Asian countries, and the volume of aid has tremendously increased in recent years, the purpose of this study is to investigate how far various categories of foreign aid affects economic growth rate in these countries. In addition, as the trend of each category of aid transfer appears to have been volatile, this study also investigates whether the volatilities inhibit growth rate in these countries.

In this study, South Asia refers to India, Bangladesh, Pakistan and Sri Lanka. The Random effects approach is employed incorporating panel data for the period of 1995‐2008. The aggregate foreign aid is classified into various categories to have a comprehensive investigation.

Foreign aid positively associated with growth whereas the volatility of aid hurts it. Long‐impact aid promotes growth more than short‐impact aid does. The volatility of short‐impact aid hurts growth, whereas the volatility of long‐impact aid has no effect on it. Pure aid and its volatility have no effect on growth.

This study has identified the structure of foreign aid disbursed in these countries, and explored how far each category and respective volatility affects growth. These findings would be useful to the scholars and policy makers in the recipient countries as well as donors, to make foreign aid much more effective in future.

The existing literature on aid for trade (AfT) tends to support the effectiveness of AfT in improving trade capacities and enhancing the export performance of recipient countries. While aid directed at trade-related infrastructure (e.g. ports and roads) is reported to drive the overall effect of AfT, the increasing importance of labor market flexibility and informal labor in export environment has been largely overlooked. The purpose of this paper is to test two hypotheses regarding the relationship between labor market flexibility, exports and AfT. First, flexible labor regulation promotes exports by reducing adjustment costs related to the export process. Second, for informal labor-intensive export sectors, AfT effectiveness may be compromised by the contraction of the informal sector due to labor deregulation as it deteriorates comparative advantage that supports recipients’ export competitiveness.

Since first introduced by Tinbergen (1962), the gravity model has been widely used to analyze bilateral trade, and its usefulness has been verified in several prominent empirical studies (e.g. Anderson and van Wincoop, 2003; Helpman et al., 2008). However, despite the empirically successful framework of the gravity model, the standard gravity equation may not be appropriate for estimating the effect of AfT in the paper. The main interest lies in whether aggregate AfT flows enhance the export “performance” of individual recipients, that is, whether they improve the recipients’ total exports rather than their bilateral exports. For this purpose, the authors took aggregated approach to the gravity model from Anderson and van Wincoop (2003).

The findings suggest that while both AfT and labor market flexibility are positively associated with higher export levels, the export-promoting effect of AfT is marginally reduced by the contraction of informal workforce. These findings, however, only hold for export sectors that heavily rely on informal labor force, that is, primary commodities and resource/labor-intensive goods. The authors also find that these effects are stronger in low-income countries, indicating that the AfT initiative has been effective where it is needed the most.

This paper is the first attempt to analyze the relationship between AfT and exports with consideration of labor market flexibility. Using the data for 85 recipient countries, the authors test the following hypotheses. First, labor market flexibility promotes exports by reducing adjustment costs related to the exporting process. Second, the contraction of the informal sector due to labor deregulation deteriorates developing countries’ comparative advantage in certain export sectors. Hence, while both AfT and labor market flexibility are expected to enhance the export volume of developing countries, the loss from weaker comparative advantage in a form of smaller informal labor force can exceed the gains from AfT in certain sectors.

The current literature has not made any connection between foreign aid and entrepreneurship. The purpose of this paper is to investigate if foreign aid influences entrepreneurial activities in a recipient country.

Using system generalized method of moments (Blundell and Bond, 1998) estimators with a panel of 38 recipient countries during 2005–2014, the author tests for 33 measures of entrepreneurial activities.

This paper finds that aggregate aid tends to only boost necessity-driven early-stage entrepreneurship and benefit low-income entrepreneurs. Aid to infrastructure promotes entrepreneurship driven by both opportunity and necessity motivations. It also incentivizes competition with homogeneous products. Additionally, evidence suggests that both aggregate aid and infrastructural aid discourage adoption of state-of-the-art technologies, raise business failure rate and are associated more with necessity-driven early-stage entrepreneurial activities for females.

This is the first research examining “aid and entrepreneurship” relation.

The purpose of this paper is to examine how food aid providers in Sussex and Southwest London responded and managed during the pandemic.

The methodological approach consists of three inter-related layers. A qualitative description research approach based on naturalistic inquiry, supplemented by site visits and personal observations was used.

The pandemic catalysed dramatic, often positive, changes to the provision of food aid, with a move away from the traditional food bank model. It brought about increased coordination and oversight, as well as the upscaling of capabilities, infrastructure and provisions.

The paper contributes to the literature on food aid in the UK It provides evidence for how providers are transforming the sector for the better and potentially helping to deal with the cost-of-living crisis.

The purpose of this research is to investigate how lessons learned from a case study of a construction project undertaken in the Pacific Islands relates to the interaction between social capital and knowledge transfer. The paper is reflective in nature focusing upon the experiences of one of the authors, being a Pacific Islander and trying to make sense of the role of social capital and the way that it impacts upon knowledge transfer.

Three theoretical frameworks are drawn upon in a pilot test of tools used to better understand and measure knowledge transfer including barriers to knowledge transfer to help explain the difficulty of knowledge transfer in a given context and the development of social capital for a foreign aid project. These tools allowed us to visualise project stakeholder outcomes for knowledge transfer and building social capital that were articulated by the aid recipient as being highly important. This was a pilot study and results reported upon in this paper were fed back to stakeholder representatives concerned for their comment and validation. Project documentation data, unstructured ad hoc interviews, together with personal reflection‐in‐practice, were gathered and used for the study.

The approach was found to be very useful in helping stakeholders better visualise and measure this project outcome, whereas experience from previous similar projects indicated that it was very difficult for stakeholders to find a tangible way of measuring this important element of success or failure.

Many projects of the type exemplified by the case studies are funded by aid agencies. This paper makes a contribution by presenting an evaluation tool for intangible project outcomes. The findings may influence the design of project success measures.

Infrastructure deficiency in Southeast Asian countries is ever growing and touched to a level where it harms the local economy as well as the international sector of the country. The gap between demand and supply for infrastructure is constantly on the upswing. The purpose of this study to investigate the effect of infrastructure on exports and foreign direct investment (FDI) inflow in selected Southeast Asian economies.

This study employs the pooled mean group (PMG) technique to velaborate that how the infrastructure affects export and FDI in the short run and long run during 1990–2018. For cointegration, Pedroni and Kao tests are used. Dynamic ordinary least square (DOLS) and the fully modified least squares (FMOLSs) estimators are employed for robustness check.

The findings support that aggregate and sub-indices of infrastructure significantly promote the export and FDI inflow in the long run. Also infrastructure, export and FDI inflow are cointegrated in the long run. FMOLS and DOLS found the most robust results.

Infrastructure development in determining trade and FDI has established a significant deal of attention in the modern era where a plethora of research studies encourage the opinion that better infrastructure attracts FDI and enhances export. However, this study uses a global infrastructure index, which comprises the sub-indices like transport, telecommunication, energy and financial sector, which gives us a clear picture regarding how Southeast Asia can catch up FDI and export benefits through infrastructure.

This paper aims to examine the effect of development aid volatility on foreign direct investment (FDI) volatility in aid recipient countries.

The empirical analysis has relied on a sample of 117 countries over the period 1981–2016 and used the two-step system generalized methods of moments (GMM) approach.

The findings indicate that development aid volatility exerts a positive and significant effect on FDI volatility, with the magnitude of this positive effect rising as countries’ real per capita income increases. Furthermore, development aid volatility is non-linearly related to FDI volatility, as additional rises in the degree of development aid volatility further amplify FDI volatility.

These outcomes highlight that volatility of development aid inflows enhances the volatility of FDI inflows. Thus, the enhancement of the aid coordination system between donor-countries and recipient-countries would not only help mitigate the volatility of aid – which reduces the macroeconomic effectiveness of aid – but also stabilizes FDI inflows to developing countries.

A limitation of the present paper is its reliance on aggregate FDI inflows to perform the analysis. Availability of data on greenfield FDI inflows and cross-border mergers and acquisitions FDI inflows over a long-time-period would provide an opportunity to conduct an in-depth analysis of the volatility of development aid on FDI inflows volatility. Furthermore, it could be interesting to investigate in the future (if data is available) the extent to which aid coordination systems between donor-countries and recipient-countries versus recipient-countries’ domestic factors contribute to explaining the dynamics of FDI inflows volatility in recipient-countries of these two types of capital flows.

To the best of the authors’ knowledge, this topic has not been addressed in the literature.