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This paper has examined the effectiveness of foreign aid on Ghanaian economy under different political regimes.

Using vector error correction and co-integration models on the annual data set over a period of 35 years, the authors demonstrate that foreign aid has had varied impacts on economic growth depending on the political ideology of the government in power.

With capitalist political philosophy, foreign aid improves private sector growth through infrastructural development. On the other hand, a government with socialist philosophy applies most of its foreign aid in direct social interventions with the view of improving human capital. Thus, each political party is likely to seek foreign aid/grant that will support its political agenda. Overall, the results show that foreign aid has a positive impact on the growth of the Ghanaian economy when there is good macroeconomic environment.

This implies that the country experiences economic growth when there are sound economic policies to apply foreign aid.

The practical implication of the findings of this paper is that donor countries and agencies should consider the philosophy of the government in power while granting aid to recipient countries, especially in Africa. The results are robust to different proxies and models.

This paper aims to analyze the effectiveness of aid in stimulating investment using different measures of aid and up-to-date panel time-series techniques. This study controls for endogeneity by using dynamic ordinary least squares (DOLS) and minimizes the risk of running a spurious long-run relationship by using series that are cointegrated. This paper finds evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the influence of country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as a colonial past, being landlocked and with large distances to markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East but not in regions that receive low amounts of aid. Investment-targeted aid is effective but non-investment-related aid can also enhance investment.

Regressions on the aid-investment nexus are based on either a rather simple (115 countries) or an extended/augmented investment model (91 countries). The data covers the period of 1973–2011 and 1985–2011 if the institutional quality is included. This study estimates the relationship between aid and investment by applying the DOLS/dynamic feasible generalized least squares technique which is based on a long-run relationship of the regression variables (cointegration). In this framework, this paper incorporates country-fixed effects, control for endogeneity, autocorrelation and take heteroscedasticity and cross-country correlation of the residuals into account.

This study finds empirical evidence that aid promotes investment in countries with good institutional quality and gain interesting insights on the role played by country characteristics and the amount of aid received. Aid is ineffective in countries with unfavorable country characteristics such as the colonial past, being landlocked, distant from markets. Aid can boost investment in regions that receive high (above-median) amounts of aid such as Africa and the Middle East. Investment-targeted aid is effective but non-investment-related aid also able to enhance investment.

The study looks at the investment to gross domestic product (GDP) ratio (including domestic investment and foreign direct investment (FDI)) and, hence does not disentangle these factors. It looks at the net effect (positive and negative impact together) and, therefore does not allow to identify the direct crowding out the impact of aid. Of course, if this paper finds that aid has a negative impact on investment, it is clear that aid must have crowded out either domestic investment or FDI or both.

The authors think that it is relevant to have identified the circumstances and settings in which foreign aid can be particularly effective and in which foreign aid needs accompanying measures that improve the effectiveness of aid. Also, it is relevant that the relative amount of aid received (aid-to-GDP ratio) must be quite high so that aid can increase investment.

This study sees that the least developed, low-income countries and (in terms of regions) the sub-Saharan Africa countries benefit from aid. This is very desirable. This paper further sees that higher relative amounts of aid do help more and that it is helpful to care about a better institutional quality in developing countries. Hence, this study provides some support for the desirability of aid.

The paper was done very diligently, and this study is very confident that the results are robust. This paper is also confident that this study has studied the long-run (which is of special importance) nexus between aid and investment. The estimation technique used is original, as it combines regular DOLS with corrections for autocorrelation and cross-section dependence.

The purpose of this paper is to integrate two main strands of the aid-development nexus in assessing whether institutional thresholds matter in the effectiveness of foreign-aid on institutional development in 53 African countries over the period 1996-2010.

The panel quantile regression technique enables us to investigate if the relationship between institutional dynamics and development assistance differs throughout the distributions of institutional dynamics. Eight government quality indicators are employed: rule of law, regulation quality, government effectiveness, corruption, voice and accountability, control of corruption, political stability and democracy.

Three hypotheses are tested and the following findings are established: first, institutional benefits of foreign-aid are contingent on existing institutional levels in Africa; second, but for a thin exception (democracy), foreign-aid is more negatively correlated with countries of higher institutional quality than with those of lower quality; third, the institutional benefits of foreign-aid are not questionable until greater domestic institutional development has taken place. The reverse is true instead. government quality benefits of development assistance are questionable in African countries irrespective of prevailing institutional quality levels.

This paper contributes to existing literature on the effectiveness of foreign-aid by focussing on the distribution of the dependent variables (institutional dynamics). It is likely that best and worst countries in terms of institutions respond differently to development assistance.

The purpose of this paper is to examine whether initial levels in GDP growth, GDP per capita growth and inequality adjusted human development matter in the impact of aid on development. In substance its object is to assess if threshold development conditions are necessary for the effectiveness of foreign aid in Africa.

The panel quantile regression technique enables us to investigate if the relationship between development dynamics and development assistance differs throughout the distributions of development dynamics.

Three main findings are established. First, with slight exceptions, the effectiveness of aid in economic prosperity (at the macro level) increases in positive magnitude across the distribution. This implies high-growth countries are more likely to benefit from development assistance (in terms of general economic growth) than their low-growth counterparts. Second, the positive nexus between aid and per capita economic growth displays nonlinear patterns across distributions and specifications, with the correlations broadly higher in top quantiles than in bottom quantiles after controlling for the unobserved heterogeneity. Third, the aid-human development nexus is negative and almost similar in magnitude across distributions and specifications.

As a policy implication, there is need to improve management of aid funds destined for health and education projects in the sampled countries. Moreover, given the magnitude of the nexuses, while blanket aid initiatives could be applied for policies targeting the human development index (due to the absence of significant differences in the magnitude of estimated coefficients), such are unlikely to succeed for aid targeting economic prosperity at macro and micro levels. From the weight of the findings, given a policy of balancing the impact of aid, it could be inferred that low-growth countries would need more aid than their high-growth counterparts because of the less positive effects in the former countries.

This paper contributes to existing literature on the effectiveness of foreign aid by focussing on the distribution of the dependent variables (development dynamics). It is likely that high- and low-growth countries respond differently to development assistance.

This paper estimates the responsiveness of aid to recipient countries' economic and physical needs, civil/political rights, and government effectiveness. We look exclusively at the post-Cold War era and use fixed effects to control for the political, strategic, and other considerations of donors. We find that aid and per capita income have been negatively related, while aid has been positively related to infant mortality, rights, and government effectiveness.

Agriculture is the major source of livelihood for the majority of population in Sub-Saharan Africa but its productivity is not only low it has started showing signs of decline since 2012. The purpose of this paper is to find out whether official development assistance for agriculture is effective.

The data for development assistance for agriculture are broken down into the major agricultural sectors in receiving countries. The empirical evidence is based on the two-step system, i.e. generalized method of moments, to assess the degree of responsiveness of agricultural productivity to development assistance.

There is a positive relationship between development assistance and agricultural productivity in general. However, when broken down into the major agricultural recipient sectors, there is a substitution effect between food crop production and industrial crop production. Better institutions and economic freedom are found to enable agricultural productivity growth, and to increase the effectiveness of development assistance. The structural economic transformation associated with agricultural development assistance is also found to be weak.

Allocation of development assistance for agriculture is primarily determined by need, although expected effectiveness also increases the assistance receipts. Agricultural assistance policies could focus more on building productive capacity to reduce the need while boosting effectiveness.

Breaking down data into agricultural recipient sectors and controlling for the potential spurious correlation under the assumption that more development assistance could be allocated, where agricultural productivity is already increasing due to some other factors.

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 paper discusses various important issues of development aid in the context of the emerging new landscape for Official Development Assistance (ODA) and in particular how aid effectiveness issues are now perceived in a world of scaled-up aid. The paper also discusses the overall nexus between aid, growth and domestic policies in aid-recipient countries by reflecting on the relevant ongoing debate in this area. A substantial part of the paper is devoted to the discussion of the central issues involved in development aid, particularly in connection with recent calls in the international development community for scaling-up aid so that the Millennium Development Goals can be attained, as well as the challenging new policy agenda in this regard.

Applying the general question of aid effectiveness to the sector of education, this paper provides some evidence for a positive effect of development assistance on primary enrolment and completion. However, even the most optimistic estimates clearly show that at any realistic rate of growth, aid will never be able to move the world markedly closer towards the internationally agreed objective of “Education For All”. Universal primary education requires increased efficiency of educational spending by donors and national governments alike. Moreover, there is some evidence that the recipient countries' general political and institutional background matters. Under conditions of bad governance, the impact of aid on enrolment can actually turn negative.

The anecdote of this paper is to bring the aid effectiveness debate to the sub-national level using the change in night lights as an alternative measure of economic activity. We observe non-robustness of results regarding the effects of aid types on development in antecedent literature to arise due to the effects of aid being treated as a unitary component. provoked by such insightful observation and literature deficiency we employed geocoded data to examine Causal links between the varying types of aid and local economic development in Malawi.

The main objective of the empirical examination is to examine the distributional effects of distinct aid types in local towns in Malawi. For that purpose, the authors thus have a panel dataset for each aid type indicator. Allowing for fixed time and town effects, the baseline light density growth regression model to estimate the effectiveness of disentangled aid on night light intensity was accomplished by employing a spatial dynamic panel data (SDPD) approach with instrumentation. Thus, panel regressions were performed to investigate both conceptual and policy implications.

Cross-city evidence shows that category aid type brings both negative and positive results depending on location within a country. There are cities and locations where certain aid type(s) does not matter whereas it matters most in some. This speaks to different levels of growth between different regions and cities in Malawi. As a result, we observe the size of the effect of distinct aid type(s) on economic activities to vary (increase/decrease) with the size of the location.

It may be interesting to generalize results from this study to a panel case over long periods of time using dynamic modelling with both threshold analysis and interaction effects Institutional factors need also to be includes in similar analyses. The authors leave this for a follow-up study. Second, the most immediate opportunity is application of the methodology to the other countries with geo-coded AidData. The authors expect to expand the analysis by taking into account other determinants of aid effectiveness at the local level, including the characteristics of donors and varieties of targeted development programmes.

Results in some geographical locations and towns indicate that the authors do not have sufficient evidence to reject the null hypothesis of the research study at 5% level. However, other geographical locations like Zomba indicate that aid category has a significant bearing on local economic growth. Therefore, as opposed to unitary aid approaches, we recommend distribution of relevant disentangled growth-enhancing aid type to specific administrative regions but with a bias toward smaller socially and economically deprived regions and towns.

The unique insight from this study is that foreign aid-growth benefits are symmetric and skewed toward large towns. If such unbalance aid-growth benefits anomalies are not addressed in a transparent manner it has the possibilities of promoting interregional migration which from Nielsen et al. (2011) and Findley et al (2011)'s evidence might trigger regional tensions and violent armed conflicts. Thus, there is need for equitable distribution of social and economic developmental aid free from political or ethnic inclination but based on transparent needs assessment model(s). Locations where social and developmental aid types seem to have negative or no effect serves as a salient indicator of aid leakages due to rent seeking tendencies of bureaucrats or weak institutions which ultimately pose welfare burden on citizens.

Apart from contributing to the extant literature on aid and economic growth, this paper relates to at least three other strands of research. First, the work partially answers a call by Minoiu and Reddy (2010), Schmid (2013) and Khomba and Trew (2019) for researchers to examine the growth effects of distinct aid types on local economic development. Second, the increase in aid volumes to Africa and the worsening of economic conditions has been the subject of considerable interest amongst development economists (e.g. Ravenhill, 1990; Lancaster, 1999; Easterly, 2003; Bräutigam and Knack, 2004 and Collier, 2006). This makes the use of a major aid recipient developing economy (Malawi) as a laboratory an anecdote. Third, use of disaggregated as opposed to unitary aid data with an African flavour.