Impact of Aid Volatility on Economic Growth of India

INTRODUCTION

The volatility of support is a fascinating subject, not just because of its implications for economic development, but also because of its own merits. Large variations in assistance inflows can lead to job insecurity, adjustments in public expenditure and confusion regarding to what degree services will be used in the future. Both of which has an adverse effect on the general public's health. As a result, it's important to consider what (if any) the costs of such uncertainty are. Help is notoriously unpredictable, being more so than many other money transfers or government revenue collections. Bulir and Hamann find that assistance inflows are more erratic than domestic sales, which is supported by Hudson and Mosley's subsequent report. Pallage and Robe find the assist is twice as unpredictable as actual performance in a related vein. However, whether those aid flows are pro-or anti-cyclical is debatable: Bulir and Hamann find that aid moves in the same direction as GDP and exports, while Pallage and Robe prove that aid is procyclical for African countries but not for beneficiaries outside Africa. Aid instability has a variety of sources. According to the IMF (2005), assistance may be unpredictable for good purposes, such as when reacting to exogenous shocks like trade terms or natural disasters. This is particularly true for low-income countries, which are more vulnerable to exogenous shocks than other countries. Help inflows to Mozambique, for example, spiked in reaction to flooding in early 2000, and to Ethiopia in response to drought in 2002. Volatility can also represent a recipient country's political position, policy, and macroeconomic results, all of which are endogenous to the recipient country's activities to some degree. The ramifications are less apparent in this case. Finally, in donor markets, uncertainty may be a manifestation of expenditure cycles, which is obviously undesirable from the viewpoint of recipients. The macroeconomic effect of help instability has recently been studied, but opinions differ. According to Arellano, a one-standard-deviation rise in assistance uncertainty is linked to a four-percentage-point drop in manufactured goods exports. Unpredictable help uncertainty, according to Celasun and Walliser, will result in long-term costs in terms of missed performance. Help influxes in reaction to exogenous shocks, according to the IMF Support cushion some of the Guillaumont and Chauvet shock's negative effects. The effect of assistance on exports differs by region, according to Prati and Tressel. Help flows through times of adversity, or rebuilding attempts after adversity, can have a positive impact on exports. Controlling for Volatility of assistance, Lensink and Morrissey conclude that assistance has a positive impact on development. Aid uncertainty, Hudson and Mosley according, limits investment and government spending shares. Agenor and Aizenman create a theoretical model that illustrates how high assistance uncertainty can

Aid is a cooperative donation of money made by people, private organisations, and governments to help beneficiaries prosper economically. Foreign assistance is critical in closing savings deficits, allowing for the investment of physical and human resources as well as infrastructure expansion, and thereby fostering economic growth in recipient countries. Furthermore, international assistance inflows for human resources and infrastructure growth will play a critical role in attracting more direct international investment (FDI) into host countries by acting as a complementary factor. According to endogenous theory, investments in human resource production play a critical role in economic growth and development. Aid for capital construction will also lead to economic growth, both explicitly and indirectly. Help for human resources and infrastructure growth; for example, serves as an indirect complement to FDI facilitation in the region. Humanitarianism and altruism are both important drivers of humanitarian assistance. However, in recent years, the controversy about foreign aid's efficacy and macroeconomic effects, especially its impact on economic development and fiscal behaviour, has resurfaced. Since the extent and efficacy of assistance are calculated in terms of how it affects fiscal operations and, As a consequence, the development rate of the countries providing aid, this is the case. Aid uncertainty is also a matter of heated discussion among economists and policymakers. The growth impact of assist and aid instability have sparked Last confidence revived decade. Support uncertainty relates to fluctuations or inconsistency in Distribution of support, which leads to erratic spending disbursements and a policy climate that is volatile. High personnel turnover and discontinuity in relationships within the help donor-recipient populations result from volatile inflows, in particular with regard to technological support and consultant aid. Since assistance is not homogeneous, it is critical that research examining the growth effect of aid in developed countries examine the growth impact of confidential aid and aid instability. Furthermore, various forms of assistance and uncertainty can have different consequences as regards the recipients' growth rate. Help to developed countries is divided into two categories: development aid and pure aid, or development and non-development aid. Based on its sectoral effects on emerging countries, development aid is also divided into short-term and long-effect aid. Humanitarian assistance is another name for pure aid. Clemens divides assistance into three categories: humanitarian aid, aid that has a four-year impact on development, and aid that has a four-year impact on growth. In this way, the report categorises assistance into different groups in order to explore its gone into human resources and infrastructure growth. The degree of uncertainty and predictability of foreign assistance flows, as well as how they covary with domestic economic operation, are all examined in this article from the perspective of the recipient government. Why is there such a premium on aid's cyclical properties? To begin with, available figures of the health expense of business variations in developed countries indicate that they are considerably higher than in advanced economies. Because of pervasive liquidity pressures and a lack of adequate countercyclical policy instruments, developing countries are subjected to more severe and greater external shocks and are less able to deal with them. As a direct result of the finding, guidance to developed countries should focus further on reducing uncertainty. Second, these countries are expected to receive massive amounts of assistance, which have been seen to be highly unpredictable. This element of assistance will counteract some of its immediate beneficial impact by complicating fiscal and monetary policy and exacerbating exchange rate volatility, for example. The higher the covariance of variations in aid and output, or domestic fiscal income, the greater the negative aspects of aid flow instability. Dealing with help fluctuations may, in theory, be more difficult than dealing with product price volatility. In comparison to the case of export market uncertainty, where the key problems have been widely discussed in the economic literature, only a few recent analytical research have concentrated on the extent and implications of assistance fluctuations (and on best practises for dealing with it). Lensink and Morrissey find that whether any indicator of aid ambiguity is included in the cross-country regressions, the development effect of assist is negligible, and that uncertainty regarding aid is counterproductive to growth. Shortfalls in aid are more often offset by decreases in government expenditure, sometimes by tax rises, and often by both, according to Gemmell and McGillivray, who studied a study of developed nations. That is to say, the average help-receiving nation is unable to cover an unforeseen lack of aid through borrowing and must return to an expensive, fast, and likely wasteful fiscal change. They also discover that assistance is considerably more unpredictable than sales, and that aid is procyclical on average. (That is, countries seem to gain more assistance during years of increased economic growth, implying a favourable relationship between aid and fiscal revenues.) Pallage and Robe confirm these findings for a group of African countries. To our understanding, Collier's report is the only one

One of the most significant important topics of development economics is the usefulness of international assistance. The scientific research on the efficacy of assistance for development outcomes including economic growth, wellness, and education has been inconclusive at best. After controlling for possible reverse causality (i.e., that weaker countries would draw greater aid flows), a recent state-of-the-art report by Rajan and Subramanian fails to find a Positive economic development effects of assistance flows developed countries. This conclusion is true regardless of the beneficiary country's strategy or regional setting. A horrible disjunction, as Easterly puts it: "aid policy was founded on the presumption that aid increases development, but [...] this premise was wrong." Several large-scale projects to develop assistance architecture were initiated by the international aid group. The so-called High-Level Forums (HLFs) on Aid Effectiveness is the most well-known of these initiatives. The popular Paris Declaration came out of the Second High-Level Forum, and the Accra Agenda for Action came out of the Third HLF (2008). (AAA) These documents detail a detailed collection of interventions that, once implemented by both contributors and recipients, are expected to significantly increase the efficacy of a defined assistance flow with regard to the rise citizen well-being in beneficiary countries. According to a new report conducted by the European Commission, the effects of the EU27 countries completely adopting the Paris Declaration - in particular, greater cooperation and preparation of assistance flows - will be about 5 billion euros per year.

The latest research on the aid-growth relationship has been checked so far. The aim of this article, on the other hand, is to bring attention to a historically overlooked aspect of the aid-growth literature: the instability of international aid flows. Such instability can have an impact the effectiveness of assistance in terms of contributing to economic development. Bul and Hamann, Chauvet and Guillaumont, and Lensink and Morrissey All looked at humanitarian assistance uncertainty flows, but only Lensink and Morrissey have looked at the relation between economic growth and volatile aid. Bul and Hamann examine the different facets of aid flows' cyclical activity empirically, noting that aid flows' uncertainty much exceeds that of other Macroeconomic conditions, for example GDP and fiscal revenue. As a result, if assistance flows are unpredictable, they can lead to macroeconomic volatility. Chauvet and Guillaumont, on the other side, look at how assistance affects income fluctuations. Although they find help to be stabilising, they often find its instability to be destabilising. Finally, Lensink and Morrissey flows stifle development, while steady and consistent aid flows promote it.

Official development aid (ODA) flows to recipient countries have become particularly erratic, lowering their worth. At the macro stage, empirical data shows that dynamic ODA can stifle development in a variety of ways. Volatility may have an effect on fiscal planning as well as the amount and structure of spending at the micro stage. This working paper proposes a basic financial measure that policymakers should use to quantify (and reduce) help uncertainty costs. Unlike other projections, ours does not depend on cross-country regression parameter estimates or country-specific model simulations. Aid flows are seen as the unpredictable return on a developed country's unobserved wealth of "global goodwill." Using a fixed asset valuation model, we quantify the certainty equal value of the uncertain help flows as well as the resulting dead weight loss. Our calculation of the deadweight loss per dollar of assistance rendered allows us to compare costs through contributors and across time. The costs of uncertainty increased gradually until 2002, when they began to decline. Low and middle-income nations, poor and powerful governments, assistance-dependent and low-aid countries, and across regions all have similar levels of aid instability. Help volatility, on the other hand, varies greatly depending on the donor. We conclude that donor strategies lead to uncertainty and that minimising volatility should be a top priority for them.

Foreign assistance is also a common occurrence in developed nations, with many, particularly the poorest, relying on it as a major source of revenue. It's especially necessary to think about the macroeconomic consequences of these inflows in terms of how they could help or hinder low-income countries' attempts to develop their own sources of economic development. If donors raise funding flows to help these countries' advancement toward the Millennium Development Goals, these ramifications are likely to become much more relevant. The transition problem: how is a foreign transfer effected by a change of the external trade balance? This is a good place to start while thinking about the effects of assistance inflows. This is a question of actual capital flows that is linked to, but separate from, funding supply. A simple economic study of the transition issue produces simple conclusions: impacting the transfer—that is, reaching the necessary trade deficit—generally means a mix of higher imports negative impact of natural resource sales on the production industry, also accompanied by a real admiration, as was the case in the Netherlands since the discovery of natural gas. Several commentators have noted that the logic of Dutch disease often relates to the impact of massive assistance inflows in low-income countries. Foreign assistance raises the availability of tradable products and, ceteris paribus, reduces their price, thus rising the market for and price of non-tradable goods by the revenue impact of the transfer. As a consequence, output factors are diverted to industries that provide non-tradable products. This theoretical observation has spawned a literature exploring the scientific importance of Dutch disease that is, determining how much assistance is influenced by a reduction in exports rather than an increase in imports. Another concern is how the basic logic of the transfer dilemma, which is normally formulated in a static two-good model, translates to the dynamic sense, where transfers will impact savings and capital accumulation. This, in particular, is linked to the methodological issue about how assistance influences investment: Help has long been thought to fuel demand by supplementing the small availability of domestic savings available for investment; however, although some observational data indicates that aid boosts investment, the evidence is far from definitive.

The idea that international assistance promotes economic development is founded on early aid-growth models that believe physical capital accumulation is the path to economic growth. The Harrod Domar development model, which was later expanded in the Chenery and Strout two gap model, is one of the oldest of these models. Financial assistance, according to Chenery and Strout, boosts productivity by removing two physical capital investment constraints that plague many developing countries: the investment constraint and the foreign exchange restriction. The study by Papanek, who was the first to regress development on assistance, is one of those who found a strong positive association between international aid and economic growth. Papanek distinguished international assistance from other forms of foreign capital and studied the connection between foreign aid, saving, and foreign private investment empirically. He argued that international assistance should go to countries that are experiencing a balance-of-payments crisis. The thesis of Papanek has econometric shortcomings such as simultaneity and calculation issues, and as a result, it is divisive. In a different report, Levy looks at the connection between aid and development in Sub-Saharan Africa and discovers a strong positive link between aid and investment, as well as aid and economic growth.

Ahmad et al. (2016) in the science community and among policy observers, the usefulness of foreign assistance in promoting economic growth is a hotly debated subject. The effect of foreign assistance on recipient countries' economic growth and development has been the subject of several academic studies. Using bibliometric details from academic articles in the Scopus collection, this thesis examines the literature applicable to this discussion. Our goal is to determine publishing patterns, regional spread, and the most influential papers, publishers, and articles in this field of study. Mahembe et. al. (2019) the primary goal of this paper is to include a summary of the scientific research on the efficacy of international assistance in reducing poverty. This is accomplished by a study of scientific research on the effects and efficacy of official development assistance (ODA), also known as international aid, in reducing poverty. The research split the scientific literature into two categories: studies that used non-monetary poverty measures and studies that used monetary poverty measures. According to the survey findings, international assistance has a significant effect on suffering, as stated by the majority of studies in both non-momentary and monetary poverty indicators. This suggests that, regardless of the form of poverty interventions utilised, international assistance decreases poverty in general. The following studies found that foreign aid is effective in reducing poverty: I democracy improves aid effectiveness; (ii) aid targeted at pro-poor public expenditures including agriculture, education, health, and other social services is effective; and (iii) aid disbursed in production sectors, infrastructure, and economic development is more effective in reducing poverty. As a result, when making public decisions on assistance distribution, these networks should be addressed. Latief et. al. (2018) The Chinese government launched the ―One Belt and One Road‖ (OBOR) initiative with the aim of achieving long-term economic growth and expanding international cooperation. This initiative has five main goals: I the exchange traffic, (ii) promoting policy alignment, (iii) enhancing connectivity, (iv) achieving financial convergence, and (v) strengthening people-to-people relations. In the context of the "One Belt, One Road" initiative the paper is aimed in the developing world at

in the project are Bangladesh, Bhutan, India, the Maldives, Nepal, India and Sri Lanka. From 1995 to 2016 panel data is provided by the US Heritage Foundation, International Financial Statistics and the World Development Indicators (WDI). (The World Bank's data base) We also employed the GARCH (1, 1), and the Auto-Generalised Conditional Heterozedasticity (TGARCH) (1, 1) models in the calculation of exchange rate volatility. In addition, the relationship between volatility in exchanges and world trade and foreign direct investment has been investigated via a paradigm of fixed effects. The paper's results suggest that the exchange rate instability in OBOR-related countries, which is coherent with economic theory that exchange-rate volatility hurts international trade and FDI, has a substantial but negative effect on both foreign trade and FDI. It can be inferred that exchange-rate volatility has a detrimental effect on international trade and FDI inflows in OBOR-related countries. Alagidede et. al. (2017) what causes exchange rate instability, and how do variations in the exchange rate affect Ghana's economic growth? The focus of this research is on these issues. Although exchange rate shocks are mean reverting, misalignments appear to correct very slowly, causing painful effects in the short term as economic agents re-calibrate their consumption and expenditure decisions. Around three-quarters of real exchange rate shocks are self-driven, with the remainder due to factors such as government spending and money supply development, terms of trade, and export shocks. Excessive uncertainty has been shown to be harmful to economic development; nevertheless, this is only true up to an extent, as growth can often be boosted by creativity and more productive resource distribution. Asongu et. al. (2017) This research explores the impact of a variety of international assistance dynamics on disparity modified human growth, which is motivated by the April 2015 World Bank publication on MDGs, which shows that poverty has been decreasing in all regions of the world with the exception of African countries. There are two types of OLS: contemporary and non-contemporary, fixed-effects, and a method GMM methodology with forward orthogonal deviations. For the duration 2005-2012, the observational data is dependent on a revised survey of 53 African countries. The following conclusions have been reached. First, help dynamics with large degrees of replacement have a positive effect. Help for social development, economic infrastructure, the agricultural market, and multi-sectoral projects are among them. Second, humanitarian aid has a consistently poor impact on both requirements and versions. Third, since the GMM approach makes the consequences of programme assistance and action on debt relation to current literature. In view of the post-2015 growth plan, policy consequences are explored. We also make several suggestions for rethinking the hypotheses and frameworks that underpin development assistance.

The basis of the aid-growth paradigm is Chenery and Strout's seminal analysis, which presents a two-gap model. We also integrated international assistance as an external financial opportunity to fill the savings–investment gap in India in the case of low domestic savings. Our model is focused on the output mechanism, in which actual GDP (Y) is affected by inputs as well as other explanatory variables: When it comes to GDP, the labour force (L), gross fixed capital creation (K), and exchange openness both play a role (TO) Furthermore, to close the savings–investment deficit, international inflows are divided into two categories: foreign assistance (ODA) and foreign direct investment (FDI) (FDI). Economic policies (Pol) play a critical role in economic development, so we've included them in our model. Finally, is a concept of a naturally distributed random error distribution?

The policy index's theoretical basis is focused on Fischer's work, and the analytical framework is based on Burnside and Dollar's work. The index's aim is to look at how the current policy situation affects aid's contribution to economic development. We've expanded the macroeconomic policy index for India that Javid and Qayyum created previously. Javid and Qayyum, including Burnside and Dollar, built the index using three variables: inflation rate, budget balance, and exchange transparency. To reflect financial growth, we have added money supply to the GDP ratio in this index. In the literature, there is a well-established connection between macroeconomic policies and economic development. The well-framed theoretical association of inflation, twin deficits, and money supply with economic development is well-documented. We've applied money supply to the GDP ratio as a financial growth metric as an expansion of Burnside and Dollar's macroeconomic policy measure. In order to build the index, we used the principal component approach. The principal component method's first component describes the data's greatest variations, while the second and third elements describe the remaining variations. The weights of included variables are we used in our study is calculated using the following formula: The weights of the first part are 1,2,3,4, and the approximate the weight amounts to 1,097, 0,726, 1,066 and 0,437. As recommended by Bulir and Hamann and Hudson and Mosley, a Hodrick–Prescott filter (HP) was used to approximate external assistance incertity.

GY Hansen created Model of the Generalized Moment Method (GMM) essentially a generalised version of Karl Pearson's method of moments. GMM has been extensively used for estimations in economics and finance due to its many advantages. The main benefit of GMM is that it does not necessitate a thorough understanding of the fundamental data generation mechanism. Unlike Maximum Likelihood Estimation (MLE), GMM estimation necessitates the extraction of specified moments from an underlying model. Because of the possible endogeneity of help, GMM is especially useful in estimating the effect of growth uncertainty on economic growth. In the partnership between assistance and economic development, there are many origins of endogeneity. Foreign aid is said to be endogenous to growth since donors target aid and are expected to respond to recipient countries' growth results. The GMM approach is useful in this context since it answers the endogeneity problem's issues. Most analyses of the help–growth partnership have used GMM estimation methods to resolve the issue of aid endogeneity. When the amount of restricted moments in the data generation phase exceeds the number of parameters to be measured, GMM provides an estimation solution. Rather than fulfilling one moment condition when breaching the others, the GMM technique selects an estimator that compares each population moment condition against the others, looking for residuals that trade-off violation of one moment constraint with violations of the others.

NS We used data from 1972 to 2015 to do a time series study. We mostly used data from the World Bank's World Development Indicators, but we also used data from the Indian Economic Survey for fiscal sector variables. Four calculations have been determined. Equation (1) examines the effect of international assistance on India's economic development. Equation (2) examines the effect of international assistance inflows on development in the context of current policy. In equation (3), we used and aid inflows. Burnside and Dollar used this aid-policy digital term in their study, but we're simply copying their work here. GDP stands for gross domestic product per capita, and Aid stands for official development assistance expressed as a proportion of GDP. LF stands for labour force, GFCF for gross fixed capital growth, FDI for foreign direct investment, and TO for trade transparency. Another significant goal of this research is to look at the effect of foreign aid inflow fluctuations on India's economic development. We generated equation 3.4 focused on equations 3.2 (in which we substituted international assistance with its uncertainty (Aid v) as an explanatory variable) to catch the impact: Except for FDI and international assistance uncertainty, all factors are in normal log type.

Our findings suggest that foreign assistance inflows have a detrimental effect on India's economic development. The estimate estimates, as seen in Table 1 (Eq 3.2), indicate that a 1% rise in the aid to GDP ratio results in a 0.10 percent drop in GDP per capita. In the case of India, this finding is consistent with the majority of current research. According to the literature, the majority of assistance inflows to India come from a bilateral source (i.e., the United States) and are dependent on the donor country's geopolitical needs rather than India's economic needs. The effects of other control factors on economic development are also seen in equation 3.2's findings. GDP per capita is greatly influenced by gross fixed capital creation and labour force. FDI, on the other hand, has a positive though minor effect on India's economic development. FDI's position in developed countries has also been challenged in many reports. Equation 1's empirical findings indicate that a 1% rise in exchange transparency increases GDP per capita by 0.32 trillion. Our findings are consistent with those of Iqbal and Zahid, as well as Shirazi et al. (2004), who found that trade liberalisation promotes India's economic development. Eq3.3's findings indicate that a stable policy climate has a substantial positive effect on economic development. A 1% rise in

investigated whether assistance is conditional on the macroeconomic policy situation in equation (3.4). As a result, we used the macroeconomic policy index and the collaborative word "foreign assistance." The phrase "aid policy interactive" has a clear intuitive quality to it, implying that when a country's macroeconomic policy climate is sound, the results of international aid use become favourable. Our observations are consistent with those of Burnside and Dollar, as well as Javid and Qayyum. We think that assistance is successful when India's macroeconomic policies are strong. Finally, we calculated equation (3.5), which captures the effect of fluctuating assistance inflows on India's economy. This study's results reflect certain policy implications. First, significant variations in assist are undesirable since, in the case of India, variance is found to be negatively related to GDP development. Second, given that India derives the majority of its assistance from a single nation, it is essential to diversify its donor base. Help inflows must therefore be insulated due to donor countries' strategic and political considerations. Prior to the launch of every assistance scheme, a long-term pledge should be secured and assured. Finally, as our findings suggest, help efficacy may be improved by improving the macroeconomic policy climate.

The effectiveness of foreign assistance in fostering global prosperity is also debated. We investigate the effect of aid instability on economic growth when adjusting for aid amount. Despite a wide body of literature on help and development, little is resolved in the debate about aid effectiveness. The effectiveness of aid is not separate from the effectiveness of growth. To reach the target of assistance efficacy, poorer countries must boost their ability and all stakeholders must be included, requiring a great deal of political interest and determination at the highest level. Not only do recipient countries pay attention to their policies, but also to how assistance services are prioritised, channelled, and processed. A greater portion of assistance could be diverted to expenditure in the targeted segment of the economy by the nation. To ensure priority, the receiving nation should make the decisions. For example, in an agro-based economy, where the recipient country's economy is completely reliant on agriculture, agricultural expenditure should be prioritised. Help donors can provide a basis for the aid funds' implementation. Well-targeted assistance can boost a poorer country's ability to leverage the benefits of trade liberalisation, improve the investment climate, and ensure that the poor are able to contribute to development.

Ahmad, N., Aghdam, R. F., Butt, I., & Naveed, A. (2016) Citation‐based systematic literature review of energy‐growth nexus: An overview of the field and content analysis of the top 50 influential papers. Energy Economics, 86, pp. 104642 Mahembe, E., & Odhiambo, N. M. (2019). Foreign aid and poverty reduction: A review of international literature. Cogent Social Sciences, 5(1), pp. 1625741 Latief, Rashid, and Lin Lefen (2018). The effect of exchange rate volatility on international trade and foreign direct investment (FDI) in developing countries along ―one belt and one road‖. International Journal of Financial Studies 6: pp. 86 Asongu, S. (2016). Reinventing foreign aid for inclusive and sustainable development: Kuznets, Piketty and the great policy reversal. Journal of Economic Surveys, 30, pp. 736– 755 Science Quarterly, 98, pp. 282– 298. Sumner, A., & Glennie, J. (2015). Growth, poverty and development assistance: When does foreign aid work? Global Policy, 6, pp. 201– 211. Young, A. T., & Sheehan, K. M. (2014). Foreign aid, institutional quality, and growth. European Journal of Political Economy, 36, pp. 195– 208. Mekasha, T. J., & Tarp, F. (2013). Aid and growth: What meta-analysis reveals. Journal of Development Studies, 49(4), pp. 564–583 Mekasha, T. J., & Tarp, F. (2018). A meta-analysis of aid effectiveness: Revisiting the evidence (UNU-WIDER Working Paper, No. 44). Helsinki: UNU-WIDER. Bengui and Bianchi, J. Bengui, J. (2014). Bianchi Capital flow management when capital controls leak 15th Jacques Polak annual research conference, Washington, DC (2014), pp. 13-14. Anyanwu, Felicia, Amalachukwu Ananwude, and Ngozi Okoye (2017). Exchange rate policy and Nigeria‘s economic growth: A granger causality impact assessment. International Journal of Applied Economics Finance and Accounting 1: pp. 1–13 Bahmani-Oskooee, Mohsen, and Abera Gelan (2018). Exchange-rate volatility and international trade performance: Evidence from 12 African countries. Economic Analysis and Policy, pp. 1–22 Bostan, Ionel, and Bogdan-Narcis Firtescu (2019). Exchange Rate Effects on International Commercial Trade Competitiveness. Journal of Risk and Financial Management 11: pp. 19 Vo, Duc Hong, and Zhaoyong Zhang (2019). Exchange rate volatility and disaggregated manufacturing exports: Evidence from an emerging country. Journal of Risk and Financial Management 12: pp. 12 Ioan, Batrancea, Rathnaswamy Malar Mozi, Gaban Lucian, Fatacean Gheorghe, Tulai Horia, Bircea Ioan, and Rus Mircea-Iosif (2016). An Empirical Investigation on Determinants of Sustainable Economic Growth. Lessons from Central and Eastern European Countries. Journal of Risk and Financial Management 13: pp. 146 Journal of African Business 18: 169–93 D. Stuckler, S. Basu, M. (2011). McKee International Monetary Fund and aid displacement International Journal of Health Services, 41 (1), pp. 67-76

Professor, IMS, Ghaziabad