When does more aid imply less democracy? An empirical examination

Foreign aid flows have increased considerably during the last decades, targeting, apart from development objectives, goals related to democracy. In this paper we investigate whether aid has affected the political regime of recipient countries. To this end, we use annual data on Net Official Development Assistance covering 64 aid-recipients. Because of data limitations, we cover the 1967-2002 period. We find that aid flows decreased the likelihood of observing a democratic regime in a recipient country. This effect is sensitive to economic and social conditions. The negative relation between aid and democracy is moderated when aid flows are preceded by economic liberalization. Aid from the U.S. has a non-significant effect on the political regime of recipients.     

The impact of financial development,economic growth,income inequality on poverty: evidence from India

This paper examines the impact of financial development, economic growth and income inequality on poverty in India from 1970 to 2015 by employing the autoregressive distributed lag (ARDL) bounds testing procedure. The findings reveal a robust long-run relationship between financial development, economic growth, inequality and poverty. Results show that financial development and economic growth help in poverty reduction in India, whereas income inequality and inflation aggravate poverty. Empirical evidence of the Granger-causality test supports the presence of unidirectional causality from financial development and economic growth to poverty. Moreover, bidirectional causality exists between inequality and poverty. The present study provides evidence on which the policymakers may proceed with detailed investigation of how specific financial sector policies and interventions can be deployed as effective instruments for achieving favorable economic growth and income distribution. The study recommends that policies geared toward increasing financial development and economic growth should be adopted to reduce the high level of poverty and inequality currently prevailing in India.     

The long-run effect of aid on health: evidence from panel cointegration analysis

Although a major objective of aid donors is to improve health outcomes in recipient countries, there is relatively little research on whether aid to the health sector leads to improved health outcomes, and even less on the impact of total aid. This paper examines the relationship between total aid and population health using panel cointegration and causality techniques designed to deal with problems afflicting previous aid-health studies: spurious regressions, omitted variables, endogeneity, cross-sectional dependence, and parameter heterogeneity. The main results are: (i) aid has, on average, a small but negative long-run effect on health, (ii) while the long-run (or trend) effect of aid on health is negative, the short-run (temporary) effect of aid on health is positive, (iii) causality runs in only one direction, from aid to health, and (iv) aid worsens health mainly in sub-Saharan countries, but has a positive, albeit statistically insignificant, long-run impact on health in Latin American and Caribbean countries and in countries with negative values of net ODA.     

Conditional price volatility,speculation, and excessive speculation in commodity markets: sheep or shepherd behaviour?

The present study aims to investigate the dynamics of primary commodity spot prices and the role of speculation for the period 1995–2012. Using a linear and nonlinear Granger causality analysis, the relationship between speculation and GARCH conditional price volatility on the one side, and the linkage between excessive speculation and GARCH conditional price volatility on the other side, is carefully examined with the scope to establish whether volatility drives speculation or speculation drives price volatility, or whether there are no linkages between the two variables. The results show that excessive speculation leads conditional price volatility, and that bilateral relationships often exist between price volatility and speculation. In addition, the lead-lag relationships are not found for the entire sample period, but rather when small sub-periods are taken into account. It turns out, in fact, that excessive speculation has driven price volatility for maize, rice, soybeans, and wheat in particular time frames, but the relationships are not always overlapping for all considered commodities. Generally, the results under linear causality tests are in agreement with those obtained under nonlinear counterparts.     

Income, Health and Happiness

This article utilises unit record data from the 1989–90 National Health Survey to explore the relationships between low income and perceptions of health and happiness. After describing how the key variables were constructed, attention is focused on the incidence of perceived poor health and unhappiness among those individuals living in income units on either side of a poverty threshold related to the Henderson poverty line. The results reveal that those in poverty generally have poorer health and are less happy than those above the poverty threshold. The observed differences are statistically significant for many income unit types, particularly non-aged single people and couples with children. Attention then turns to exploring how health and happiness vary across the deciles of the income distribution. Again, significant differences are revealed, particularly when more sophisticated distributional measures are employed. Finally, consideration is given to the possibility that the results reflect reverse causality, and that the observed correlations incorporate the role of intervening variables.     

A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

Openness and Poverty in the Postwar United States

Recent trade theory suggests that freer trade can be the primary cause of the observed rise of poverty in the United States. The short-run dynamic relationships between openness and poverty are examined using the concept of Granger causality. That the ultimate source of rising poverty since 1973 is trade liberalization of the US economy cannot be rejected. The result is convincing when two subsamples (pre- and post-1973) are reestimated. These findings are at odds with the conventional model in which freer trade raises productivity and hence reduces the poverty rate, but appear consistent with some models in which openness raises poverty.     

Information,Pricing and Efficiency in Cash and Futures Markets: The Case of Hogs

The price leadership roles among hog cash and futures markets are assessed to locate points of price discovery and to examine flows of information among these markets. Several years of data are analyzed using lead/lag causality analysis and strength of linear causality measures. Although significant instantaneous relationships exist among hog cash and futures markets, one-way causality tests indicate that generally the futures market dominates cash hog markets in the price discovery process.     

Aid, Agriculture and Poverty in Developing Countries

The authors make two contributions to the debate on aid‐effectiveness, illustrating that for impact on poverty what matters is not just the level but also the composition and stability of aid. One specific implication of this for aid policy is that aid most effectively reduces poverty if it supports public (and other) expenditures which are supportive of agricultural development. Regression analysis confirms that these are not only direct expenditure on agriculture, but also on education and infrastructure, and military expenditure has a negative impact. Three factors appear to be particularly conducive to the development of stable pro‐poor expenditure patterns (and in particular pro‐agriculture expenditure patterns). These are expenditure strategies which protect the poor against risk, the development of stable relations between governments and aid donors, and long‐term political commitment to pro‐poor strategies by government. The argument is pursued partly by panel‐data econometric analysis of developing countries as a whole, and partly by case studies of sustained and non‐sustained green revolutions in heavily aid‐dependent countries in Africa.     

Are Donor Countries Giving More or Less Aid?

The volume of foreign aid has increased during the last four decades, albeit with interruptions in certain years. Over time, the major recipients have changed: while the share of aid to Asia has diminished since the 1980s, that destined for sub‐Saharan Africa has grown. There is some evidence that, since the late 1990s, debt relief has assumed a larger share of the increased aid flows to sub‐Saharan Africa. The share of technical cooperation—a component of aid that is viewed as being driven by donors—has risen. More recently, there has been an increased emphasis on providing budget support to recipient governments, especially in the form of debt relief. Donor harmonization, national ownership of development plans, and sound policies on the part of the recipients are crucial for the aid to be effective in reducing poverty.     

Darlings and Orphans: Interactions across Donors in International Aid

We examine how the bilateral aid flows from an individual donor to a recipient depend on the aid flows from all other bilateral and multilateral donors to that recipient. Thereby, we assess to what extent issues including donor coordination, free‐riding, selectivity, specialization, and common donor interests drive bilateral aid allocations. We find that others’ bilateral flows lead to a significant increase in aid flows from a particular donor, but primarily within a given year. The effects are particularly pronounced for large donors and so‐called “darling” recipients. Overall, the results suggest that herding is a dominant feature of aid inter‐relationships.     

Donor ideology and types of foreign aid

We examine how donor government ideology influences the composition of foreign aid flows. We use data for 23 OECD countries over the period 1960–2009 and distinguish between multilateral and bilateral aid, grants and loans, recipient characteristics such as income and political institutions, tied and untied aid, and aid by sector. The results show that leftist governments increased the growth of bilateral grant aid, and more specifically grant aid to least developed and lower middle-income countries. Our findings confirm partisan politics hypotheses because grants are closely analogous to domestic social welfare transfer payments, and poverty and inequality are of greatest concern for less developed recipient countries.     

Aid allocation and poverty reduction

This paper derives a poverty-efficient allocation of aid and compares it with actual aid allocations. The allocation of aid that has the maximum effect on poverty depends on the level of poverty and the quality of policies. Using the headcount, poverty-gap, and squared poverty gap measures of poverty, alternatively, all yield similar poverty-efficient allocations. Finally, we find that the actual allocation of aid is radically different from the poverty-efficient allocation. With the present allocation, aid lifts around 10 million people annually out of poverty in our sample of countries. With a poverty-efficient allocation, the productivity of aid would nearly double.     

International aid and financial crises in donor countries

The recent global financial crisis placed new economic and fiscal pressures on donor countries that may have long-term effects on their ability and willingness to provide aid. Not only did donor-country incomes fall, but the cause of the drop — the banking and financial-sector crisis — may exacerbate the long-term effect on aid flows. This paper estimates how donor-country banking crises have affected aid flows in the past, using panel data from 24 donor countries between 1977 and 2010. We find that banking crises in donor countries are associated with a substantial additional fall in aid flows, beyond any income-related effects, at least in part because of the high fiscal costs of crisis and the debt hangover in the post-crisis periods. Aid flows from crisis-affected countries are estimated to fall by 28% or more (relative to the counterfactual) and to bottom out only about a decade after the banking crisis hits. In addition, our results confirm that donor-country incomes are robustly related to per-capita aid flows, with an elasticity of about 3. Findings are robust to estimation using either static or dynamic panel data methods to account for possible biases. Because many donor countries, which together provide two-thirds of aid, were hit hard by the global recession, this historical evidence indicates that aggregate aid could fall by a significant amount (again, relative to counterfactual) in the coming years. We also explore how crises affect different types of aid, such as social-sector and humanitarian aid, as well as whether strategic interaction among donors is likely to deepen or mitigate the fall in aid.     

Aid, Dutch disease, and manufacturing growth

We examine the effects of aid on the growth of manufacturing, using a methodology that exploits the variation within countries and across manufacturing sectors, and corrects for possible reverse causality. We find that aid inflows have systematic adverse effects on a country's competitiveness, as reflected in the lower relative growth rate of exportable industries. We provide some evidence suggesting that the channel for these effects is the real exchange rate appreciation caused by aid inflows. We conjecture that this may explain, in part, why it is hard to find robust evidence that foreign aid helps countries grow.     

Museum and monument attendance and tourism flow: a time series analysis approach

This article takes a time-series analysis approach to evaluate the directions of causality between tourism flows, on the one side, and museum and monument attendance, on the other. We consider Italy as a case study, and analyse monthly data over the period January 1996 to December 2010. All the considered series are seasonally integrated, and co-integration links emerge. We focus on the error-correction mechanism among co-integrated time series to detect the directional link(s) of causality. Clear-cut results emerge: bi-directional causality exists in the long-run dynamics, but it is the long-run dynamics of visits to museums and monuments that mainly adjust to tourism variables (arrivals, overnights, average stays). In the short run, there are some causal effects going from the cultural sites’ attendance to tourism dynamics. The nonstationary nature of time series, their co-integration relationships and the direction of causal links suggest specific implications for tourism and cultural policies.     

中国农村扶贫资金投入与贫困减少的经验分析

本文分别以中国官方贫困线和国际贫困线为标准,利用向量自回归模型就中国政府的农村扶贫资金投入和贫困减少的长、短期关系和Granger因果关系进行了经验研究。结果表明农村扶贫资金对农村贫困减少具有短期的促进作用,但效果不显著。从长期看扶贫资金抑制了农村贫困的减少,但这两者之间不存在Granger因果关系;经济增长与贫困之间的关系比较复杂,经济增长在减少农村贫困人口的同时,加重了贫困深度指数和贫困强度指数。因此,进一步完善农村扶贫资金运行机制、提高扶贫项目的瞄准性,对于解决中国农村贫困问题具有重大意义。     

Net private capital flows and economic growth–the case of emerging Asian economies

This article makes an exploratory empirical investigation into the relationship between net private capital flows and economic growth using a panel dataset from emerging Asian countries, namely South Korea, Indonesia, Malaysia, Thailand and the Philippines, over the period 1980–2001. Overall, this article indicates that net private capital helps to promote economic growth for the countries in the sample. In addition, this article also supports the view that net private capital flows will better contribute to economic growth under a sound policy and economic environment. This article also seeks to improve the estimation results by controlling for reverse causality as an econometric method that can control, for reverse causality is very important to examining the relationship between net private capital flows and economic growth. To tackle this issue, this article employs the Generalized Method of Moments (GMM) estimation technique, which is an econometric technique that can handle the reverse causality using the lagged explanatory variables as instruments.     

Relative Effectiveness of Bilateral and Multilateral Aid on Development Outcomes

Aid donors are interested in understanding whether allocating aid via bilateral or multilateral channels might be more effective for achieving development goals. We review 45 papers that empirically test the associations between bilateral and multilateral aid flows and various development outcomes including gross domestic product growth, governance indicators, human development indicators and levels of non‐aid investment flows. Findings suggest that differences between countries and regions, time periods, aid objectives, and individual donor organizations all may influence the effectiveness of aid delivered bilaterally and multilaterally. We find, however, no consistent evidence that either bilateral or multilateral aid is more effective overall.     

Poverty traps,aid, and growth

This paper examines the empirical relevance of the poverty trap view of underdevelopment. We calibrate simple aggregate growth models in which poverty traps can arise due to either low saving or low technology at low levels of development. We then assess the empirical relevance of these specific mechanisms and their consequences for policy. We find little evidence of the existence of poverty traps based on these two mechanisms. When put to the task of explaining the persistence of low income in African countries, the models require either unreasonable values for key parameters, or else generate counterfactual predictions regarding the relations between key variables. These results call into question arguments in favour of a large scaling-up of aid to the poorest countries that are premised on the existence of such poverty traps.