Pro‐Poor Tourism as a Strategy to Fight Rural Poverty: A Critique

Pro‐poor tourism (PPT) is a development methodology that aims to use tourism as a tool for poverty reduction. PPT has been adopted by multilateral institutions, official development agencies and non‐governmental organizations (NGOs). PPT assumes an absolute definition of poverty that is based on net income. This definition allows the consideration of a tourism initiative as ‘pro‐poor’ even though the income earned by the poor population may be marginal. This paper analyses whether PPT's concept of poverty adequately addresses the issues in rural poverty. We analyse one case of unequal distribution of income generated from tourism in the 1990s (Amantaní Island, Perú). The paper concludes that PPT's concept of poverty circumvents the fact that an unequal distribution of income could imply a loss in the quality of life for the majority of a rural population: the high‐income social sector tends to increase its economic and political power to the detriment of other social sectors.     

Short‐ and Long‐Run Policy Evaluation: Support for Grassland‐Based Milk Production in Switzerland

Following the abolition of the milk quota in 2008, farmers in Switzerland strongly increased the use of concentrate feed in milk production. Against this background, the Swiss government introduced the voluntary grassland‐based milk and meat (GMF) programme in 2014, which combines economic incentives with feeding restrictions to reduce the reliance on concentrate feed and increase the use of grass feed. We analyse the economic and ecological impacts of the GMF programme at the farm and at the sector level in the short‐ and long‐run. We use a difference‐in‐differences approach (ex‐post) and an agent‐based simulation model SWISSland (ex‐ante) to construct counterfactual states to evaluate the programme's impacts. We find that the GMF programme reduces the use of concentrate feed and increases the use of grass feed in Swiss milk production. Whereas the programme has a positive effect on economic indicators such as the farm income, we find no effect on ecological indicators such as the N surplus. Our analysis suggests that feeding restrictions on concentrate feed are not enough to achieve a reduction in the N surplus. Additional feeding restrictions on grassland are necessary. Furthermore, the GMF programme has a dampening effect on sectoral milk supply, and leads to a higher milk price.     

The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan

This article employs a propensity score‐matching approach to examine the direct effects of adoption of Bacillus thuringiensis (Bt) cotton on yields, pesticide demand, household income and poverty, using cross‐sectional data from a survey of farmers in the Punjab province of Pakistan. Generally, the findings reveal that adoption of the new technology exerts a positive and significant impact on cotton yields, household income and poverty reduction, and a negative effect on the use of pesticides. The positive and significant impact of the technology on yields and household income is consistent with the potential role of new agricultural technology in directly reducing rural poverty through increased farm household income.     

Characterising Vulnerability to Poverty in Rural Haiti: A Multilevel Decomposition Approach

This article characterises vulnerability to poverty in Haiti using a unique survey conducted in 2007 in rural areas. In a first step, using two‐level linear random coefficient models of both per capita consumption and per capita income, the article assesses the impact of self‐reported shocks on households' economic well‐being. In a second step, the prediction model is used to calculate various measures of vulnerability to poverty, considering various types of shocks. Empirical findings show that self‐reported (or observable) idiosyncratic shocks, in particular health‐related shocks, have larger impact on vulnerability to poverty than observable covariate shocks. These results are in line with the fact that many households reported idiosyncratic health shocks as being the worst shocks they experienced. On the other hand, unobservable idiosyncratic shocks appear to have generally more influence on households' vulnerability to poverty than unobservable covariate ones. We also show that omitting self‐reported shocks in the analysis leads to an underestimate of households' vulnerability to poverty.     

Did the commodity price spike increase rural poverty? Evidence from a long‐run panel in Bangladesh

We assess the effects of the dramatic rise in agricultural commodity prices during 2007–2008 on income dynamics and poverty among rural households in Bangladesh. A unique panel data set allows us to put the effects of recent events in the context of long‐run trends in income and poverty. We use data from a nationally representative longitudinal survey of rural households in Bangladesh collected in four waves in 1988, 2000, 2004, and 2008. Nargis and Hossain (Nargis, N., Hossain, M., 2006. Income dynamics and pathways out of rural poverty in Bangladesh, 1988–2004. Agric. Econ. 35, 425–435) analysed income dynamics and poverty incidence for the first three waves, finding a declining trend in both the incidence and severity of poverty, aided in particular by human capital development and off‐farm employment opportunities. We update and extend the analysis to include data collected in 2008, at the height of a spike in agricultural prices. We find that the price of a balanced food basket increased by more than 50% during 2000–2008, while household income rose only 15%. As a result the incidence and severity of rural poverty in Bangladesh sunk to pre‐2000 levels during 2004–2008. Thus, the price spikes in 2007–2008 helped push an additional 13 million people into poverty in rural Bangladesh. Moreover, we find that the determinants of poverty have not been time‐invariant. In particular, agricultural production, which had previously been associated with a higher incidence of poverty, served as a hedge against higher food prices during 2004–2008.     

Does a “Blue Revolution” help the poor? Evidence from Bangladesh

The rapid growth in aquaculture production, globally and in Bangladesh is well documented. Over 2000–2010, per capita production of aquaculture grew 76%, while the consumer price of fish declined 45%. Previous studies have suggested pro‐poor effects of aquaculture based on fish production and consumption patterns. This study attempts to quantify the contribution of aquaculture to income growth and poverty reduction in Bangladesh, using household survey data and a microsimulation approach based on an expanded version of Deaton's concept of net benefit ratio. We estimate that aquaculture's contribution to income growth between 2000 and 2010 was 2.1%, including both price and quantity effects. This income growth was translated into poverty reduction of 1.7 percentage points. Although these estimates seem small, they represent almost 10% of the overall poverty reduction in Bangladesh during the first decade of the 21st century. Put differently, of the 18 million Bengalis who escaped poverty during 2000–2010, about 1.8 million of them managed to do so because of the rapid growth in aquaculture, which contributed to rural income while making fish more accessible to consumers.     

Floods,food security,and coping strategies: Evidence from Afghanistan

In this paper, we assess the long‐term effect of floods on food security (as measured by calorie and micronutrient consumption) by applying an instrumental variable approach to data from the Afghanistan National Risk and Vulnerability Assessment survey. To identify the determinants of this effect, we also estimate how floods affect per capita yearly household income and poverty status. We find that exposure to flooding during a 12‐month period decreased daily calorie consumption by approximately 60 kcal while increasing the probability of iron, vitamin A, and vitamin C deficiency by 11, 12, and 27 percentage points, respectively. Controlling for price shocks and income only marginally reduces this flood effect on food security, suggesting that impaired livelihoods (rather than price hikes) are its primary driver. We further determine that exposure to this natural disaster decreases income by about 3% and makes flood‐affected households about 3 percentage points more likely to be poor. Lastly, we show that experience of floods is strongly and significantly associated with lower diet quality and quantity, and with engaging in consumption smoothing coping strategies, such as buying food on credit and taking loans. These findings underscore the serious direct impact of floods on both diet and effective behavioral responses to such shocks while emphasizing the need for targeted micronutrient supplementation in disaster relief and food aid measures even after the period of natural disaster emergency.     

Government Policies and Sources of Latecomer Firms' Capability Building: A Learning Story from Brazil

Millennium goals aim to halve poverty in developing countries by 2015. As a distinction is not drawn between the persistently and transiently poor, there is a risk that strategies designed to accelerate growth to achieve the desired reduction in an overall index of poverty may be preferred to those that benefit the persistently poor. Besides, in the absence of a disaggregation of these goals into rural and urban components, rural poverty reduction may not get the priority it deserves. Finally, the feasibility of the millennium goals is not plausible. While the growth rates required for achieving these goals do not differ much from those recorded in recent years, their sustainability is not self-evident. Moreover, as income inequality has increased in recent years, the poverty reduction due to a given growth rate is lower. But these goals are nevertheless useful in drawing attention to pervasive deprivation in developing countries, and to the need for a determined and co-ordinated effort by the development community in reducing it substantially in the not-too-distant future.     

Poverty Reduction Effects of Agricultural Technology Adoption: The Case of Improved Cassava Varieties in Nigeria

We use DNA‐fingerprinting to estimate the poverty reduction effect of adoption of improved cassava varieties in Nigeria. We estimate the counterfactual household income distribution of cassava producers by combining farm‐level treatment effects with a market‐level model. Our results suggest that adoption of improved cassava varieties has led to a 4.6 percentage point reduction in poverty, though this is sensitive to the measurement of adoption status. Therefore, accurate measurement of adoption is crucial for a more credible estimate of the poverty reduction effect of adoption. Our analysis also suggests that farmers who are more likely to be adopters are also likely to face higher structural costs. Addressing structural barriers that make improved technologies less profitable for the poor would therefore be important to increase the poverty reduction effect of improved cassava varieties.     

The Amenity Value of Agricultural Landscape and Rural–Urban Land Allocation

We analyse rural–urban land allocation in the light of the increasing environmental role of agricultural landscapes. The landscape amenity value of farmland varies across crops and as a result affects the optimal crop mix in addition to its effect on rural–urban land allocation. Investigating the effects of population and income growth processes, we find that, contrary to market outcomes, the socially optimal allocation may call for more farmland preservation under both processes. In an empirical application to a region in Israel, we find that the extent of market under‐supply of farmland is substantial and that population growth calls for more farmland preservation at the expense of urban land.     

When do Agricultural Exports Help the Rural Poor? A Political-economy Approach

Many economists have argued that agricultural exports should be one of the best ways to reduce rural poverty in developing countries, through the creation of productive employment in the rural areas. Non-economists have tended to be sceptical, often seeing such exports as competitive with food crops and thus potentially threatening to an adequate supply of food. The historical record includes many cases in which the prospect of profitable agricultural exports prompted the rich/powerful to appropriate land formerly occupied by lower income agricultural workers, often squatters or people with traditional land rights. That record, as currently understood, leaves it unclear whether such exports have more frequently brought benefits to the rural poor or hurt them. An adequate model of the poverty effects of agricultural exports must thus take account of how control of land (and labour as well) may be shifted among groups without compensation as it becomes more valuable. Two major issues/questions are of current interest. First, have the unjust mechanisms whereby the rich wrested valuable resources from the poor in the past become less common? Second, is there evidence that the sort of labour-intensive agricultural exports most likely to benefit the poor are growing fast enough to suggest an important poverty effect at present and in the future? More in-depth research is needed to clarify both points. For the present, it appears unlikely that agricultural exports will be a major source of poverty reduction for the rural poor in the Third World taken as a whole.     

An economic interpretation of structural changes in the bovine population of India

Abstract

A computable general equilibrium model based on a social accounting matrix for Kenya is used to simulate the effects of 10% devaluation, 10% increased investment and 10% agricultural productivity improvement on the macro‐economy and on the real incomes of the poor. For each policy simulation two specifications for the labour markets are adopted, the first assuming unlimited supplies of labour at given nominal wages and the second fixed supplies so that wages are determined endogenously. These affect the results crucially. Under the first assumption, devaluation provides a 10% boost to real gross domestic product (GDP) and has highly favourable effects on agricultural production, exports, the current account deficit, employment and poverty. Under the second assumption, it has a largely inflationary impact, with attenuated effects on real GDP and no effect on the current account deficit. Agricultural productivity improvement is less affected by the different specifications and compares favourably with devaluation except for its smaller impact on GDP. The increased investment policy is found to be inferior on most counts. All three policies decrease poverty, though income distribution remains stable.     

Multidimensional poverty in Afghanistan: who are the poorest of the poor?

Taking a capability approach perspective, our paper aims at advancing our understanding of poverty in Afghanistan, and at identifying the most deprived, including persons with disabilities, in order to address the first Sustainable Development Goal to eradicate poverty in all its forms. We used data from a national survey carried out in Afghanistan in 2005. We calculated one index using two weights structures, the adjusted headcount ratio, part of the multidimensional poverty measures. Following a participatory process, we identified and validated 13 indicators clustered in seven dimensions of poverty, including three usually neglected dimensions. Findings suggest that exploring various domains of deprivation would better inform poverty eradication policies than an approach focused only on income. Our results also demonstrate that nearly all Afghan adults are deprived in at least one dimension and those residing in rural areas, from minority ethnic groups, women, elderly people and persons disabled at birth or of an unknown cause are the poorest of the poor. Efforts to improve well-being must acknowledge these inequalities so that public policies in Afghanistan aiming at alleviating poverty take these disparities into account, when facing a reduction in available resources.     

The Joint Estimation of Child Participation in Schooling and Employment: Comparative Evidence from Three Continents

This paper uses data from Peru, Pakistan and Ghana to analyse simultaneously child labour and child schooling, and compares them between these countries. We use a multinomial logit estimation procedure that analyses the participation and non-participation of children in schooling and in employment and, in particular, allows the possibility that a child combines schooling with employment or does neither. We also use an ordered probit estimation procedure based on a ranking of the various child schooling/employment/non-schooling/non-employment outcomes. The results point to both similarities and striking dissimilarities in the nature of child labour and child schooling between the chosen countries. For example, in Pakistan, but not in Peru, the girl child's ordering of schooling/employment outcomes shows her at a position of extreme disadvantage. Household poverty discourages a child from achieving superior outcomes, but the effect varies markedly across the three countries.     

Robust Comparisons of Malnutrition in Developing Countries

We use Demographic and Health Surveys (DHS) to make international and inter–temporal welfare comparisons. While most poverty analyses rely on expenditures or income, we use anthropometric measures of nutrition as indicators of living standards. The advantages are that we observe individual—not household—well–being, deflators and exchange rates are unnecessary, and measurement techniques are similar across surveys. We test the robustness of the headcount results, and find that applying higher order Foster–Greer–Thorbecke poverty measures adds little information; although stochastic dominance testing of nutrition distributions reveals that changes in malnutrition are sensitive to the choice of the "nutrition poverty line."     

Implications of higher global food prices for poverty in low‐income countries1

In many poor countries, the recent increases in prices of staple foods have raised the real incomes of those selling food, many of whom are relatively poor, while hurting net food consumers, many of whom are also relatively poor. The impacts on poverty will certainly be very diverse, but the average impact on poverty depends upon the balance between these two effects, and can only be determined by looking at real‐world data. Results using household data for 10 observations on nine low‐income countries show that the short‐run impacts of higher staple food prices on poverty differ considerably by commodity and by country, but that poverty increases are much more frequent, and larger, than poverty reductions. The recent large increases in food prices appear likely to raise overall poverty in low‐income countries substantially.     

Economic Growth,Globalisation and Beer Consumption

We analyse the evolution of beer consumption between countries and over time. Historically, there have been major changes in beer consumption in the world. In recent times, per capita consumption has decreased in traditional beer drinking countries while it increased strongly in emerging economies. Recently, China has overtaken the US as the largest beer economy. A quantitative empirical analysis studies the relationships among economic growth, globalisation and beer consumption. The relationship between income and beer consumption has an inverse U‐shape. Beer consumption initially increases with rising incomes; but at higher levels of income beer consumption falls. Increased globalisation has contributed to a convergence in alcohol consumption patterns across countries. In countries that were originally beer drinking countries, the share of beer in total alcohol consumption reduced, while this is not the case in countries which traditionally drank mostly wine or spirits.     

Sectoral gender wage gap in Vietnam

Abstract

Price forecasting systems are of considerable importance to food security management by governments’ and non‐governmental organizations. Sparse data availability in low‐income economies, however, generally necessitates reliance on reduced form forecasting methods. Relatively recent innovations in heteroscedasticity‐consistent time series techniques offer price forecasting tools that are feasible given available data and analysis technologies in low‐income economies. Moreover, extended GARCH models exhibit superior out‐of‐sample forecast accuracy using monthly food price data from Madagascar. These techniques also permit cost reduction in food security operations by more precise estimation of the risk of hitting a critical price level.