scholarly journals Can One Promote a Delegation of the Bilateral Aid to Multilateral Donors to Improve Foreign Aid Effect on Economic Growth in ECOWAS (Note 1) Countries?

2019 ◽  
Vol 2 (1) ◽  
pp. 51
Author(s):  
W. Jean Marie Kébré
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Least Squares ◽  
Foreign Aid ◽  
Bilateral Aid ◽  
Multilateral Aid ◽  
Multilateral Institutions ◽  
Negative Effect ◽  
High Degree ◽  
The Relationship

<p><em>This article analyzes the relationship between external aid and economic growth in the ECOWAS region, with a focus on bilateral and multilateral aid effects. The key idea behind this analysis is an argument of Svensson</em><em> </em><em>(2000)</em><em> that multilateral aid is more effective than bilateral aid because of the high degree of altruism of bilateral donors. He therefore suggested a delegation of bilateral aid to multilateral institutions. To appreciate his suggestion, this analysis used panel data from the 16 ECOWAS countries from the period 1984 to 2014. The results of the estimates, based on the dynamic least squares estimator (DOLS), show a negative effect of foreign aid on economic growth. This negative effect on economic growth persists when the components of aid are introduced into the model. In addition, results highlight that governance is a channel through which foreign aid affect positively economic growth. In these conditions, bilateral aid is more effective on economic growth than multilateral aid. These results about foreign aid received by ECOWAS countries invalidates</em><em> </em><em>Svensson’s</em><em> </em><em>(</em><a title="Svensson, 2000 #5" href="#_ENREF_1"><em>2000</em></a><em>)</em><em> theory. Therefore, a delegation of bilateral aid to multilateral institutions is not relevant because bilateral aid contributes more to economic growth if governance is taken into account.</em></p>

scholarly journals Terrorism, Armed Conflict and Foreign Aid

2014 ◽  
Vol 20 (4) ◽  
pp. 655-667 ◽  
Author(s):  
Piotr Lis
Keyword(s):  
Foreign Aid ◽  
Armed Conflict ◽  
Detrimental Effect ◽  
Physical Capital ◽  
Foreign Assistance ◽  
Bilateral Aid ◽  
Multilateral Aid ◽  
Muslim Countries ◽  
Negative Effect ◽  
The One

AbstractArmed conflict, and to a lesser extent terrorism, have detrimental effect on economic and social development through destruction of human and physical capital and ensuing disruption to economic activity. There is also likely to be an indirect effect of political instability through its impact on foreign aid. The net effect is not obvious; violence may discourage aid donors and hence lead to a fall in received aid on the one hand, but it may well lead to an increase in foreign aid as donors offer reimbursement for counterterrorism efforts on the other hand. This paper uses a panel of countries to identify the net effect of armed conflict and terrorism, both domestic and international, on aid receipts. It shows that armed conflict has a negative effect on the amounts of both bilateral and multilateral aid. It also finds that terrorism tends to increase foreign assistance. The effect is stronger for bilateral aid; this is consistent with the expectation that they are likely to use foreign aid to directly or indirectly assist governments fighting terrorism. Nonetheless, these results do not hold for Muslim countries which do not receive increased aid when suffering from terrorism.

scholarly journals Armed conflict, terrorism, and the allocation of foreign aid

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Piotr Lis
Keyword(s):  
Foreign Aid ◽  
Armed Conflict ◽  
Donor Country ◽  
Domestic Terrorism ◽  
Transnational Terrorism ◽  
Bilateral Aid ◽  
Multilateral Aid ◽  
Negative Effect ◽  
Using Data ◽  
The One

Armed conflict and terrorism damage economic development through disruption of economic activity, trade, and the destruction of human and physical resources. They also can affect foreign aid allocation, but the likely net effect of this is not obvious. On the one hand, donors may be discouraged and reduce aid. On the other hand, donors may provide more aid, for instance as a reimbursement for counter-terrorism efforts that benefit the donor country. This article aims to identify the net effect using data for a panel of countries. It finds that armed conflict does have a large and negative effect on bilateral and multilateral aid, but that bilateral donors seem to turn a blind eye to violence occurring in oil-exporting countries. Further, the article finds that while transnational terrorism tends to increase bilateral aid, bilateral donors seem indifferent to domestic terrorism. In contrast, multilateral aid is found not to react to transnational terrorism, but does react to domestic terrorism.

Hours of Paid Work and Volunteering: Evidence From Danish Panel Data

2021 ◽  
pp. 089976402199166
Author(s):  
Hans-Peter Y. Qvist
Keyword(s):  
Panel Data ◽  
Social Integration ◽  
Negative Relationship ◽  
Time Constraint ◽  
Integration Theory ◽  
Paid Work ◽  
Constraint Theory ◽  
The Social ◽  
Negative Effect ◽  
The Relationship

The nature of the relationship between the time people spend on paid work and volunteering remains debated in the social sciences. Time constraint theory suggests a negative relationship because people can allocate only as much time to volunteering as their work responsibilities permit. However, social integration theory suggests a more complex inverse U-shaped relationship because paid work not only limits people’s free time but also plays a key role in their social integration. Departing from these competing theories, this study uses two-wave panel data from Denmark to examine the relationship between hours of paid work and volunteering. In support of time constraint theory, the results suggest that hours of paid work have a significant negative effect on the total number of hours that people spend volunteering, not mainly because paid work hours affect people’s propensity to volunteer but because they affect the number of hours that volunteers contribute.

scholarly journals PENGARUH KORUPSI, DEMOKRASI DAN POLITIK TERHADAP KEMISKINAN DI DELAPAN NEGARA ASEAN DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 1 (3) ◽  
pp. 845
Author(s):  
Yolanda Yolanda
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Predictor Variable ◽  
Combination Method ◽  
Annual Reports ◽  
Series Data ◽  
Transparency International ◽  
Negative Effect ◽  
Asean Countries ◽  
The Relationship

This study aims the influence of corruption, democracy and politics on poverty in ASEAN countries with economic growth as a moderating variable. The method used is using the panel regression model. This data uses a combination method between time series data from 2013 - 2016 and a cross section consisting of 8 countries. Data obtained from World Bank annual reports, Transparency International and Freedom House. The results of this study indicate that (1) Corruption Perception Index (CPI) has a significant and negative effect on poverty, meaning that if the CPI increases then poverty will decrease (2) Democracy has no significant and negative effect on poverty. This means that if democracy increases, poverty will decrease (3) Politics has a significant and negative effect on poverty, meaning that if politics increases, poverty will decrease (4) Economic growth has a significant and positive effect on poverty, meaning if economic growth increases then poverty will decline (3) Economic growth unable to moderate the relationship between corruption, democracy and politics towards poverty in 8 ASEAN countries. Economic growth as an interaction variable is a predictor variable (Predictor Moderate Variable), which means that economic growth is only an independent variable.

scholarly journals How do Poverty and Income Inequality affect Economic Growth in Developing Countries?

2021 ◽  
Vol 4 (2) ◽  
pp. 547-558
Author(s):  
Hamza Saleem ◽  
Fatima Farooq ◽  
Muhammad Aurmaghan
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Income Inequality ◽  
Negative Impact ◽  
Positive Impact ◽  
Development Indicators ◽  
The Relationship ◽  
Positive Effect ◽  
World Development

The major objective of this research is to examine the relationship between poverty, income inequality and economic growth from some selected developing countries. This study uses panel data for the period of 2002-2015. All the data is taken from world development indicators (WDI). To find out the results, we have used Hausman test an econometrics technique for panel data in this research. The results of the study indicate that poverty and income inequality have a negative impact on economic growth on the other hand Gross capital formation, labor force, total population and government consumption and expenditure have a positive impact on economic growth. The result tells us that changes in these variables have a significant and positive effect on the dependent variable. To achieve the goal of economic growth developing countries should reduce poverty and take meaningful steps to overcome the problem of inequality in the society which can be very helpful in achieving the goal of economic growth.

scholarly journals Model Persamaan Simultan pada Analisis Hubungan Kemiskian dan PDRB

2014 ◽  
Vol 5 (2) ◽  
pp. 810
Author(s):  
Rokhana Dwi Bekti ◽  
David David ◽  
Gita N ◽  
Priscillia Priscillia ◽  
Serlyana Serlyana
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Two Stage ◽  
Two Stage Least Squares ◽  
Regional Product ◽  
The Relationship ◽  
Simultaneous Model

Simultaneous model is a model for some equation which have simultaneous relationships. It was often found in econometrics, such as the relationship between Gross Domestic Regional Product (GDRP) and poverty. GDP is a common indicator that can be used to determine the economic growth occurred in region. Meanwhile, poverty is one of the indicators to measure the society welfare. Information about these relathionships were important to perform the relathionsips between GDP and poverty. So this research conducted an analysis to obtain simultaneous models between GDRP and poverty. Estimation of the parameters used is Two-Stage Least Squares Estimation (2SLS). The data used are 33 provinces in Indonesia at 2010. By α = 5%, it was conclude that variable which significant effect on GDRP is poverty, export, and import. Meanwhile, the variables that significantly affect poverty are population. The simultaneous model (α = 5%) also conclude that there is no simultaneous relationship between GDRP and poverty. However, with α = 25%, there is a simultaneous relationship between GDRP and poverty.

scholarly journals The nexus between energy consumption, economic growth, and urbanization in Latin American and Caribbean countries: An approach with PVAR model

2017 ◽  
Vol 2 (2) ◽  
pp. 202-219 ◽  
Author(s):  
Matheus Koengkan
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Panel Data ◽  
Latin American ◽  
Caribbean Region ◽  
Vector Autoregressive ◽  
Data Vector ◽  
Latin America And Caribbean ◽  
The Relationship ◽  
Latin American And Caribbean

The nexus between energy consumption, economic growth and urbanization was analyzed for a panel of twenty-one Latin American and Caribbean countries over a period from 1980-2014. The Panel Data Vector Autoregressive (PVAR) was used in order to analyze the relationship among all variables. The results indicated that there is a unidirectional relationship between urbanization and energy consumption, and a bidirectional nexus among economic growth and energy consumption in Latin America and Caribbean region.

scholarly journals The Nexus between Financial Development and Economic Growth: Panel Data Evidence from Developing Countries

2021 ◽  
Vol 14 (10) ◽  
pp. 489
Author(s):  
E. M. Ekanayake ◽  
Ranjini Thaver
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Least Squares ◽  
Financial Development ◽  
Panel Cointegration ◽  
Sub Saharan Africa ◽  
Explanatory Variables ◽  
Cointegration Tests ◽  
Sub Saharan

The objective of this study is to investigate the nexus between financial development (FD) in economic growth (GROWTH) in developing countries. The study uses panel data from 138 developing countries during the period 1980–2018. The relationship between financial development and economic growth is investigated using four explanatory variables that are commonly used to measure the level of financial development and several other control variables, including a dummy variable representing the financial and banking crises. The sample of 138 developing countries is also classified into six geographic regions. We have carried out panel unit-root tests and panel cointegration tests before estimating the specified models using both Panel Least Squares (Panel LS) and Panel Fully Modified Least Squares (FMOLS) methods. In addition, panel Granger causality tests have been conducted to identify the direction of causality between FD and GROWTH for each of the regions. The results of the study provide evidence of a direct relationship between FD and GROWTH in developing countries. Furthermore, there is evidence of bi-directional causality running from FD to GROWTH and from GROWTH to FD in samples of Europe and Central Asia, South Asia, and all countries, but not in East Asia and Pacific, Latin America and the Caribbean, Middle East and North Africa, and Sub-Saharan Africa.

Sign in / Sign up

Export Citation Format

Share Document