Browsing by Subject "Armut"

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Agrofuels, large-scale agricultural production, and rural development : the case of Jatropha in Madagascar
(2019) Bosch, Christine; Zeller, Manfred
Agrofuel production in marginal areas can contribute directly to creating employment and improving local livelihoods. Indirectly, through increasing household purchasing power and relaxing financial constraints of smallholder farmers, it can contribute to greater food production and/or food consumption and rural development. These benefits depend, however, largely on the feedstock crop and its processing, land and labour requirements, the business model, value chains and institutional frameworks. Jatropha, a feedstock crop with more benefits than first-generation energy crops like maize, experienced a spike in popularity in the early 2000s due to its value in the biofuel markets of industrialized countries. The majority of plantations and outgrower schemes could not survive what followed: disappointing yields, pests and disease, low oil prices, the 2007/2008 food price crisis, negative narratives, and inadequate funding for further research activities. Despite these challenges, large-scale land investments and new Jatropha projects continue to be undertaken. Madagascar is a country characterized by severely eroded and degraded pasturelands, low agricultural productivity, high vulnerability to climatic shocks, and overwhelming poverty and food insecurity rates. It is hypothesized that the use of marginal lands for labour-intensive agrofuel feedstock cultivation, in otherwise neglected areas, through both public and private investment, will have positive impacts through the provision of wage work in large-scale plantation schemes. Although a number of studies have investigated the rural livelihood impacts of participation in Jatropha cultivation, there is little evidence that quantifies the long-term and indirect effects on smallholder food production and household food security. Against this background, large-scale Jatropha cultivation lends itself well to studying the complex interplay between feedstock and food production, as well as the potential for agricultural and rural development. Such analysis would provide useful insights and implications for cost-effective rural development policies to target poor farmers in remote areas. Drawing on a conceptual framework that highlights the role of smallholder farmers’ livelihood strategies like off-farm employment and agricultural intensification, and livelihood outcomes like food security, this thesis explores the contribution of large-scale agrofuel feedstock cultivation on marginal land. Three important outcomes, namely household food security, information and innovation spillover effects, and agricultural input use, are studied empirically in three articles, using a comprehensive household panel data set. The data was collected in six survey rounds between 2008 and 2014, in three villages near a large-scale Jatropha project in the Haute Matsiatra region, located in Madagascar’s Southern Highlands. The first article examines the relationship between wage work for a Jatropha project and household food security. Jatropha cultivation on marginal land is labour intensive and does not compete with food production. Therefore, incomes earned can contribute to increased food security directly as well as indirectly through increased or diversified food production. Using five rounds of household panel data, results show that labour demand from the plantation declined substantially after the build-up phase and Jatropha incomes were mostly used for food and other necessities. Fixed effects models show that Jatropha work contributed significantly to an improved dietary diversity. Despite the possibility to earn income during the lean season, Jatropha work did not lead to a reduction in the more subjective lack of food and led to reduced rice stocks. Both food production and consumption were highly influenced by drought shocks and locust plagues, indicating that complementing income creation strategies with agricultural development strategies might have further positive effects on food security. To shed light on the impact pathway from Jatropha work to agricultural production, the second article explores information dissemination through social networks and through Jatropha workers who are more exposed to modern technologies than control households. In addition to institutional factors, a lack of knowledge and limited extension services for improved agricultural technologies are considered barriers to information dissemination. Using two rounds of the dataset, which contains rich information on social capital and networks as well as knowledge and innovations, determinants of production-relevant knowledge like extension services, credit and marketing opportunities are estimated. Accounting for potential endogeneity with lagged and instrumental variables, the relevance of this knowledge to the adoption of innovations and the cultivation of a formerly taboo legume, as an example of diversification, is tested. The results indicate limited access to information, little knowledge on investment and marketing opportunities, and low adoption of innovations. Knowledge is relevant for both innovation performance and the cultivation of the Bambara groundnut, highlighting the need to increase and improve public extension services and information dissemination in rural Madagascar. Adoption is not only encouraged by knowledge, but also directly motivated through informal social networks. Bambara groundnut spillovers from the biofuel project can be observed, relaxing some of the constraints farmers face concerning access to information, social learning, and cultural norms. The third article explores one specific hypothesized spillover: access to and use of agricultural inputs. Given the very low use of improved inputs in rural areas in Madagascar, this study explores whether improved seed and seed information distributed to farmers encourages farmers to cultivate the seed. The analysis is based on household data gathered between 2012 and 2014 from 390 households in three villages. To investigate the adoption of improved seed, as well as the diffusion of information regarding improved seed, a randomized control trial was applied in 2013. Half of the 390 households were randomly assigned to receive the improved lima bean seed (Phaseolus lunatus), which is specifically bred for dry regions. Of the seed-receiving households, half were randomly assigned to receive information on how to store, plant, and cultivate the improved seed, as the variety was unfamiliar in the region. The control group and the two treatment groups are compared with respect to baseline characteristics, bean cultivation, information exchange with other farmers, legume consumption, and willingness to pay (WTP) for improved bean seed. To account for non-compliance, contamination, and spillover effects, local average treatment effects (LATE) are estimated. Of the seed-receiving households, 54% cultivated the seed, reaping an average yield of 6.3 kg for each kilogram of seed obtained. Seed information did not lead to higher yields. A small significant positive impact of seed distribution on legume consumption is found. WTP is 171% of the local market price for bean seed; provision of free seeds and information did not result in a higher WTP. Based on these findings, this thesis contributes empirical evidence that large-scale agrofuel feedstock production on marginal land can enhance rural livelihoods by offering alternative livelihood strategies especially for poorer households and contributing to improved livelihood outcomes. Accounting for the indirect effects shows important impact pathways on the livelihood strategies of farmers in a remote area. The provision of incentives for private investors, complemented by more public intervention in rural areas, as well as more investment in agricultural research and extension to reduce agricultural production risks, might enhance these spillovers.
An analysis of gender in intra-household decision-making as an important socio-economic factor in agriculture-nutrition linkages
(2021) Sariyev, Orkhan; Zeller, Manfred
In 2018, almost 2 billion people around the globe experienced severe or moderate levels of food insecurity. Poverty is strongly linked with food insecurity, and most of the extreme poor live in rural areas where agriculture is the main livelihood. Thus, agricultural and rural development have profound implications for rural households. Agricultural produce is consumed or marketed or both; when marketed, the generated income can be used for (safe and nutritious) food purchases and non-food expenditures, including medical expenses and investments in sanitation. Some income may not be consumed directly but saved or invested in the form of physical, social or human capital. Moreover, considering that the end goal of development should be an environment in which people can be creative and freely enjoy a long and healthy life, rural and agricultural development will have implications for all elements of human development: health, education, poverty, environment, security, women’s status, and finally, food and nutrition. The effect is seemingly more direct and profound in terms of its contribution to a healthy household environment and food security, which together determine nutritional outcomes. However, this seemingly straightforward linkage between agriculture and nutrition is challenged by numerous socio-economic factors. This dissertation concentrates on the gender dynamics of intra-household decision-making as an important socio-economic factor in the agriculture and nutrition framework. Here, I refer to gender dynamics as the interactions and relations between men and women that can strengthen or confront the social norms of a society. Thus, the main objective is to examine the gender dynamics of decision-making as an important component of agriculture-nutrition linkages. There are three sub-objectives that concentrate on selected linkages within the framework. Given the high concentration of women’s empowerment literature in social contexts in which females are underprivileged, the first sub-objective is to investigate the implications of women’s empowerment in contexts in which women historically experienced equality or favoritism. Second, concentrating on the role of women’s empowerment in the agriculture and nutrition framework, the next objective is to study the implications of women’s empowerment on varietal adoption, diversified production, and consumption. The third objective is to examine the viability of production diversification as a strategy to improve household diets. The findings of this dissertation are based on data collected from Bhutanese and Ethiopian households. The survey in Bhutan employed multistage random sampling; it was implemented in November 2017 and covered 251 households in two central districts of Bhutan: Tsirang and Dagana. The survey in Ethiopia was conducted in 2014 and 2016 and covered 390 Ethiopian households located in a radius of circa 150-200 km around the town of Hawassa. These households were randomly selected from a sample of farmers from a survey that was conducted by the International Food Policy Research Institute (IFPRI) for the Ethiopian Agricultural Transformation Agency (ATA) in 2012. This dissertation has five chapters. The first chapter gives a general overview and provides a conceptual framework that helps to describe the research topics and questions investigated in the following chapters. The three following chapters are scientific papers that have been prepared for publication in scientific journals. The second chapter deals with the first sub-objective. It investigates women’s participation in crucial domains of intra-household decision-making and its implications for dietary quality in Bhutanese households. The third chapter studies the effect of the main female’s risk preference on the adoption of high-yielding varieties (HYVs) conditional on the dominance of female preferences declared in domestic decision-making. The fourth chapter explores the association between women’s participation in decision-making and both agricultural production and dietary diversity. The final chapter concludes the dissertation, highlights main limitations, and gives recommendations for future research and policies. Chapter 1 discusses the agriculture-nutrition linkages and interacting socio-economic factors of interest in the conceptual framework of the dissertation. Chapter 2 investigates the implications of women’s participation in domestic decision-making processes for dietary quality in Bhutanese rural households. Bhutan was selected as the country of interest for this chapter because polyandry and matrilineal succession were still observed in some ethnic groups through the 20th century. We employ a mixed methods research approach to investigate women’s participation in domestic decision-making processes and its implications for dietary quality at the household level. Considering the historical presence of matrilineal succession in Bhutan, we also check for any association between women’s land ownership and participation in domestic decision-making using non-parametric tests. Quantitative analyses and in-depth interviews reveal no lack of participation in crucial domains of domestic decision-making for Bhutanese women. We observe a positive association between women’s participation in decision-making and their property rights; thus, it is plausible that the matrilineal succession might have provided for women’s empowerment over time. Moreover, we find that gender equality in decision-making results in better dietary diversity in Bhutanese households. Given the results, we recommend that social programs focus not merely on women’s empowerment, but gender-equal human development in general. The findings contribute to the gender literature and emphasize the importance of gender equality. Considering that females are generally found to be more risk averse than males and that risk aversion hinders technology adoption, in Chapter 3, we study the importance of the main female decision-maker’s risk preference for the adoption of HYVs in Ethiopia. Most often, food security is the ultimate goal for the rural poor in Ethiopia. Their risk preferences are likely to determine their willingness to trade some short-term security for a greater potential income and security in the future. Rural households are disinclined to adopt new varieties as they are unfamiliar and present a risk of failure. The number of female decision-makers in a household is assumed to reflect the dominance of female preference declared in household decision-making. The main female decision-maker is assumed to be empowered to express her preferences more strongly and freely when the decision-making processes involves more female members. In this case, the impact of her risk preferences is likely to be more profound. To the best of my knowledge, this hypothesis has not been investigated before. Considering that rural households are constrained differently, we want to study both adoption and intensity of the HYV adoption. The results show no effect of the main female’s or male’s risk preferences on the adoption of HYV seeds. It is observed that the adoption decision is mostly determined by access and availability, which are captured by wealth, access to extension, and all-weather roads. We observe a positive association between the main female’s risk preference and the intensity of the adoption at higher levels of women’s participation in decision-making. As hypothesized, the conditionality of the effect of female risk preference on the level of female dominance in decision-making is observed. Given these results, we conclude that the main female’s risk preference matters for the intensity of HYV adoption. Given the potential risk of crop failure when adopting HYV, a risk-taking female is willing to risk her household’s short-run security to a potential learning effect from the new variety and potentially gain a higher income and more security in the long-run. The findings from this chapter contribute to the gender and technology adoption literature. The study interacts female risk preference with a proxy that measures female dominance in decision-making in an HYV adoption study. The results of our analysis of the role of the main female’s risk preferences in agricultural technology adoption signify the importance of a gendered lens to intra-household decision-making and risk preferences for future empirical studies. Nutrition sensitive agricultural development programs consider diversified farm production as a promising strategy to achieve better dietary outcomes for rural poor who are mostly subsistence oriented. In Chapter 4, we mainly question the viability of this strategy for rural Ethiopian households. Furthermore, considering that both household-level production diversification and consumption choices are outcomes of intra-household decision-making, we investigate the implications of women’s participation in the domains of decision-making for both outcomes. Thus, there are two objectives in Chapter 4. The first is to estimate the association between production diversification and household dietary diversity in various settings, and the second is to examine the association of female participation in decision-making with both livelihood outcomes separately. We find that on-farm diversification can be a feasible strategy to improve the diets of those who are mostly subsistence oriented and therefore highly dependent on agricultural production and those who live a great distance from markets. These results were obtained by employing and carefully interpreting multiplicative interaction models. We find that women’s participation in decision-making regarding which crops are grown is associated with more diversity both in terms of food groups and the number of different livestock and crop species produced. Nevertheless, we do not find any association when both evenness and richness of crop species are considered together as an indicator of diversification. This is due to the fact that sampled Ethiopian women are observed to be involved in decision-making on small plots, such as kitchen gardens, which contribute to the richness of species but not to the evenness in terms of the cultivated area. Furthermore, we estimate a positive association between women’s decision-making regarding household expenditures (that include food, clothing, and household and agricultural assets) and dietary diversity indicators. In light of these results, we conclude that development programs could promote production diversification in remote rural areas where markets and non-farm income are hardly accessible, but even then, the viability of this strategy is very questionable due to the marginal effects that demand mostly unrealistic changes. We recommend that more attention and effort be directed toward gender-inclusive social and economic development policies together with infrastructural and market development projects to achieve sustainable returns to nutrition. We contribute to the agriculture and nutrition literature by highlighting an important covariate, that is gendered decision-making, and calling attention to an in-depth approach to the analyses of this kind to better assist practitioners. Overall, the main contribution of this dissertation is that the gender dynamics in intra-household decision-making is an important socio-economic factor in the agriculture and nutrition framework. The findings prove that gender sensitive policies and programs will contribute to this component and sustain the linkages between agriculture and nutrition in rural areas. It is observed that women’s empowerment in farming and household-related decision-making positively contributes to various components like varietal adoption, diversification, and household-level dietary diversity in the agriculture and nutrition framework. However, extensive contextual knowledge is necessary to ensure that gender bias is correctly approached and treated to yield positive and sustainable outcomes in different societal settings.
Analysis of factors driving differences in intensification and income from agriculture among smallholder farmers in Northern Vietnam
(2021) Ufer, Susanne; Zeller, Manfred
Challenged by difficult topography, remoteness, high ethnic diversity, low levels of infrastructure, high poverty, and high dependency on upland farming systems the well-being and incomes of ethnic minorities and the poorest in the Northern Uplands of Vietnam, like in many upland areas in Southeast Asia, are still predominantly linked to agricultural productivity. At the same time agricultural commercialization, the introduction of modern agricultural technologies, higher input use, and stronger agricultural specialization have increased the demands on households’ ability to adequately invest in agricultural intensification and to protect themselves from agricultural income risks. In the Northern Uplands, one of these extensively cultivated, highly commercialized, and highly specialized upland crops is maize. A crop that needs high levels of inputs and is predominantly grown for cash income from poor and non-poor farmers alike. Given the low asset levels of households, it is therefore of particular interest which differences in challenges farmers may face regarding the improvement of maize production dependent on their wealth level. Yet, no detailed research exists that analyses how the level of asset endowments with natural, human, physical, financial, and social capital as well as risk aversion impact technology adoption, maize intensification, and maize productivity of farmers of different household wealth. This doctoral thesis seeks to fill these knowledge gaps by investigating the following research topics: (1) the level and short-term changes in agricultural input use and productivity in maize production by household wealth, (2) the impact of risk aversion on fertiliser use in maize production by household wealth, and (3) the impact of household asset levels and the return to assets on productivity differences in maize production between households of different wealth. Research analysis builds on a quantitative dataset collected from a random panel sample of 300 rural households in Yen Chau district, Son La province, in the Northern Uplands of Vietnam in the period from 2007 to 2010. The research area is relatively poor, ethnic diverse, with a high dependency on upland agriculture, crop income, and maize income in particular. Econometric analysis is carried out firstly by organizing households by wealth through a composite asset-based indicator derived from principal component analysis (PCA) and secondly by applying extensive descriptive analysis, regression analysis, and econometric decomposition-based techniques to the so differentiated dataset. Results from the first research topic (1) “Level and short-term changes in agricultural input use and productivity in maize production by household wealth” show that average numbers on maize input use, maize productivity, and maize income hide important wealth-related differences. While adoption rates of modern maize seeds and mineral fertilisers are widespread and very similar by wealth terciles over time, input use intensity of fertilisers, maize yields, and maize incomes differ significantly between the poorest tercile and the wealthier maize farmers. While a substantial share of the poorest household tercile uses fertiliser quantities well below recommended levels, households of the middle and wealthiest terciles are about twice as likely to apply fertilisers according to average or above-average fertiliser recommendation levels. Moreover, between approximately one-tenth and one-quarter of households from all wealth terciles overuse fertiliser, too. The poorest tercile further buys despite the lower use of fertilisers more often seed and fertiliser inputs on-loan than households from higher wealth terciles. Consequently, the poorest households have to pay relatively higher input costs at otherwise mostly similar market prices for seed and fertiliser inputs and maize output. Yield, input price, and output price risks are high in the research area for all households. However, the poorest tercile of households suffers somewhat more from risks due to fluctuations in yield, output price, and maize income. Results from the second research topic (2) “Impact of risk aversion on fertiliser use by household wealth” show that the fertiliser quantity applied to maize is affected by the risk aversion of the household head in the poorest one-third of households and not affected by the risk aversion of the household head of the wealthier households. The results remain valid when different empirical risk aversion measures (i.e. self-assessment scale and lottery game) are considered, when instead of total fertiliser quantity, the quantity of NPK, urea, or total nitrogen are considered, as well as when different measures of household wealth are considered (i.e. asset-based wealth index, household per-capita income, and household per-capita consumption expenditure). Results from the third research topic (3): “Impact of household asset levels and the return to assets on productivity differences in maize production between households of different wealth” show that quantity-based assets effects are more important for the size of the maize income gap per hectare between the poorest one-third of maize farmers and maize farmers of higher wealth than the return-based assets effects. Quantity-based asset effects significantly account for more than two-thirds of the entire maize income gap, while return-based assets effects are on the contrary not statistically significant at all. From the quantity-based assets effects, credit limit, ethnicity of the household head, and upland land value have large and significant effects. Farm size, value of buffalo and cattle, and household head age have smaller and less constant effects. Credit limit is the most important and most consistent driver by size, showing that financial access for poor minority households is still a defining obstacle to agricultural productivity. Ethnicity of the household head has a strong and positive but decreasing impact on the maize income gap, showing that ethnicity-related soft factors, such as differences in location, agricultural practices, and traditions, should be taken more into acknowledgement. From the significance of the upland land value, we conclude that environmental factors, such as the prevention of soil erosion, the protection of soil fertility, and considerations of long-term sustainability, should gain more emphasis. Other minor factors driving the maize income gap are discussed in more detail in the thesis. From the results of the doctoral thesis, we draw the following main conclusions for the development of pro-poor strategies for the improvement of upland agricultural productivity. Firstly, agricultural research and extension should pay more attention to identifying bottlenecks households face dependent on their wealth level to avoid overseeing the specific obstacles poor and non-poor farmers face that may result in the perpetuation of poverty traps, increased inefficiency, and the waste of resources. Consequently, more emphasis is needed on research and extension that incorporate wealth-related agronomic, financial, and risk-related aspects, that better account for the efficient use of inputs, and that place increased emphasis on the adaptation of technological innovations to the farm systems and needs of upland minorities. Secondly, more emphasis should be placed on helping poor households to deal with risks. While all households face yield, input and output price risks, risk aversion affects input intensification decisions in the poorest one-third of households. Hence, especially for the poorest more emphasis should be placed on the expansion of risk management options that account for the lower risk-bearing capacity and higher risk aversion of the poor, and the often higher transaction costs. This includes measures such as improving the financial literacy of households, allowing households to borrow for consumption, linking credit with insurance or saving options, decreasing transaction costs and the complications linked with successfully applying for loans, as well as, if possible, developing innovations like improved seeds or agricultural management systems that have the capacity to lower the downside risks of production. Thirdly, assets should be considered an important driver of agricultural productivity differences between poor and non-poor farmers. Based on the findings that the quantity-based effects of assets are the major and only significant driver of the maize income gap between the poor and non-poor maize farmers, we conclude that the poorest households can have the same productive agricultural potential as the non-poor if they would have the same level of assets. Supporting households to get access to and accumulate assets should be therefore an important policy goal. This is particularly true about assets that can be influenced by agricultural research, improved agricultural extension, and targeted development policy. Based on our research findings this concerns the improvement of access to credit, the support of ethnic minority households, and efforts to increase the sustainability of upland agriculture. Fourthly, investing in the long-term suitability of maize production and upland farming systems is recommended. While maize can be a very profitable cash crop in the short run, the results of this doctoral thesis also show that a strong specialization in maize production may embody multiple short-term and long-term economic as well as sustainability related livelihood risks. This includes the possibly limited extent of the profitability of additional credit and inputs as well as a strong dependency on the quality of natural resources. In consequence, policies should focus on directly improving the conditions for maize productivity as well as improving the conditions for long-term development. Such measures include supporting households to invest more in profitable on-farm and off-farm diversification, the improvement of infrastructure and extension to increase the profitability of unused cropping choices, the development of profitable soil protection measures, and investments in education and the development of off-farm job alternatives.
Debt position of developing countries and new initiatives for debt reduction: a panel data fixed effects estimation of the impacts of the HIPC initiatives
(2005) Houssou, Nazaire; Heidhues, Franz
In September 1996, the World Bank and the International Monetary Fund launched the Heavily Indebted Poor Countries Initiative (HIPC). This initiative was endorsed by 180 governments around the world as an effective and welcome approach to help poor, severely indebted countries reduce debt as a part of the overall poverty reduction strategy. Three years later, the initiative was enhanced to provide for faster, broader and deeper debt relief. Using a panel data fixed effect estimation, this study assesses the achievements of the first and second HIPC initiatives and explores further areas of intervention that might help the HIPCs graduate from debt rescheduling and achieve sustainable growth and poverty alleviation. Despite moderate achievements of the HIPC measures so far, this paper argues in favour of a HIPC III initiative. Much more relief is needed to link debt reduction to poverty alleviation if the expectations raised by the HIPC initiatives are to become reality.
Dynamik von Armut in Deutschland - Ergebnisse mikroökonometrischer Analysen
(2006) Moll, Sebastian; Wagenhals, Gerhard
While the focus of traditional poverty research is on a cross-sectional perspective, this empirical study is concerned with the individual dynamics of poverty in Germany. Based on longitudinal data from the Socio-Economic Panel (SOEP), several aspects like the duration of poverty or the extent of chronic poverty are adressed. The organization of the book is as follows: After a short introduction in Chapter 1, necessary basics for the empirical analysis of poverty are discussed in Chapter 2. Chapter 3 deals with the measurement of chronic poverty over a fixed period of time. Microeconometric methods are adopted for a differenciated analysis of chronic poverty. In Chapter 4 a spell-based approach is applied to estimate poverty exit and re-entry rates. Finally, all important results are summarized in Chapter 5.
Incomes and asset poverty dynamics and child health among pastoralists in Northern Kenya
(2016) Mburu, Samuel; Sousa-Poza, Alfonso
In chapter one we identified the levels, sources, and trends of household incomes across the five survey waves. We also estimated and compared the income and asset poverty levels. Income poverty was estimated using imputed household income relative to the adjusted poverty line and asset poverty using a regression-based asset index and tropical livestock units (TLU) per capita. Our results indicate that keeping livestock is still the pastoralists’ main source of livelihood, although there is a notable trend of increasing livelihood diversification, especially among livestock-poor households. Majority of the households (over 70%) are both income and livestock poor with few having escaped poverty within the five-year study period. Disaggregating income and asset poverty also reveals an increasing trend of both structurally poor and stochastically non-poor households. The findings show that the TLU-based asset poverty is a more appropriate measure of asset poverty in a pastoral setting. In chapter two we explored the household welfare dynamics among pastoral households in the study area. First, we developed a microeconomic model to analyze the impact of a shock (e.g., a drought) on the behavioral decisions of pastoralists. Secondly, we estimated the existence of single or multiple dynamic equilibria that may constitute an asset poverty trap. We used the tropical livestock units (TLUs) to establish the shape of asset dynamics to locate the welfare equilibria for the sampled households. We also estimated the household characteristics and covariate environmental factors that influence livestock accumulation over time. We use both non-parametric and semi-parametric techniques to establish the shape of asset accumulation path and determine whether multiple equilibria exist. From the model, we found that a negative shock like a drought leads to an immediate decrease in livestock followed by a smooth reduction in consumption. Because the shock also affects the local economy, it prompts a wage decrease, which reinforces the pastoralist’s incentives to tend his own livestock and reduce time spent in the external labor market. Whereas the pastoralist’s labor time allocation shows a pattern of quick convergence, however, the adjustment of other variables such as consumption and capital takes much longer. Food aid helps in smoothening consumption especially among households with few livestock. We established that livestock assets converge to a single stable equilibrium implying that households remained livestock poor in the short term. Such convergence to a stable equilibrium could result from households with more livestock smoothening their consumption during times of food shortage by drawing on their herds for sale or consumption while livestock poor households smoothen their assets by using coping strategies that do not deplete their few livestock holdings. Poor households thus destabilized their consumption to buffer and protect their few assets for future income and survival. We also found that forage availability and herd diversity influenced livestock accumulation over time. In chapter three we established the extent of malnutrition among children by analyzing the levels of malnutrition among children aged five years and below. Additionally, we estimated the effects of drought, measured by the Normalized Difference Vegetation Index (NDVI), on child health outcomes. When the lack of sufficient rainfall reduces the levels of vegetative greenness, the corresponding lower NDVI values indicate forage scarcity. We followed the approach by Chantarat et al. (2012) and transformed the pure NDVI values to z-scores. We used the average NDVI Z-score values from long dry season (June, July, August, and September) for each survey year, extracted from four regions within Marsabit District. We then proxied the nutritional status of children using the mid-upper arm circumference (MUAC). We adjusted the MUAC for the age and sex of the child by converting the values to a MUAC Z-score based on WHO growth charts, as Z-scores are found to be better indicators of wasting than the fixed cut-off value (WHO 2009). The results show that malnutrition among children is prevalent in the study area, with approximately 20% of the children being malnourished and a one standard deviation increase in NDVI z-score decreases the probability of child malnourishment by 12–16 percent. The livestock insurance seems to be an effective risk management tool, as it slightly reduces the probability of malnutrition among children. Child health is also impacted by local conditions and family characteristics, which leave older children worse off than younger siblings who are still being breastfed or receive better care. In the most vulnerable households, boys are worse off than girls. At the same time, male-headed households tend to have healthier children, while family size is negatively associated with child MUAC. To reduce the effects of drought on child malnutrition, the targeting of food aid beneficiaries is crucial, and the use of remote sensing data could improve the effectiveness of these interventions. In chapter four we sought to understand the levels of school enrolment and gender differences in schooling given the challenges of accessibility to schools in the pastoral areas. First, we established levels of school enrolment by gender. Secondly, we estimated the effect of herd migration on school attendance and thirdly we gathered the community perceptions about challenges that school going children face and how they can be addressed. We used both household panel data for children aged between 6 and 15 years and community data obtained from some focus group discussions. Results showed that the effect of herd migration on school attendance is significant and negative: once other factors are controlled for, the predicted probability of child failure to attend school is 26% for households that migrate their livestock. On the other hand, attendance is positively impacted by the educational level of both the household head and his spouse. The analysis of survey data indicates that over the five years studied, school enrollment increased for both boys and girls, averaging 63.6% and 69.0%, respectively, in 2013. During the same period, the school dropout rate was quite low (less than 10%) although still higher among boys than among girls. The mean schooling efficiency (relative grade attained) was 0.67, which implies inefficiency in grade progression. Girls were better off than boys in terms of both grade attainment and staying in school, while children from more educated families showed a higher schooling efficiency than those from less educated families. At the same time, boys are less likely to attend school than girls, probably, the FGD participants confirmed, because boys engage in more economically valued activities like herding, which raises the opportunity costs of their absence for school. Girls, in contrast, engaged mostly in nonmonetizable household duties. Nevertheless, as key barriers to school attendance, the participants identified too few schools, nomadism and communal conflicts.
Institutional change in Cuba's agricultural sector
(2010) Jaffe Lopez, Mercedes Isabel; Zeller, Manfred
Cuba has a low agricultural production and depends on costly food imports. The partial reforms advanced by the government during the 1990s seem to have failed in increasing productivity or output. Due to a lack of primary research in the agricultural sector, little is known about the incentives and constraints that producers face. This dissertation seeks to contribute in the reduction of this knowledge gap and proposes a new way of understanding the transition in the agricultural sector in Cuba. The role of the institutions governing this sector is studied in order to evaluate the main problems of different producer types and the possibilities and constraints of reform towards a more productive agriculture. The dissertation is organized around three papers. The analyses presented in these papers use quantitative and qualitative data collected during two field trips in 2007-2008 and 2009, as well as secondary data from publications, news and official statistics. The first paper describes the sector?s institutional framework and compares the performance of different producer types that include state farms, semi-independent collectives, and private producers. These producers differ in their access to illegal markets, and in their property rights for land and cattle. Private farmers have more incentives to produce due to their stronger user rights, resulting in a better productive performance when compared to state and state-dependent collective farms. The results cast doubt on the prevailing idea that production problems result from technical or resources deficiencies. The second paper deals with the largest producer type described in the first paper, by exploring poverty and food access of collective farm households with the use of principal component analysis and other methods. It is found that relative poverty and food security depend on the household?s access to individual and collective resources for subsistence production. The main productive activities and the economic performance of the state-dependent collective farms have no correlation with the poverty status of their workers, exposing incentive problems at worker level. The third paper investigates the constraints that have led to the failure of adopting economically efficient institutions by evaluating the historical political power dynamics in Cuba?s agricultural sector. It is found that the institutions adopted aim to limit the accumulation of political power by private producers. Economic crises that threaten the political elite have caused the partial and temporary adoption of free markets and the distribution of state land to private farmers. These reforms, however, have been blocked by the bureaucrats as they lose political power. The papers show that the incomplete and insecure property rights regime in Cuba results in low overall productivity caused by incentive and other problems. In the case of the state-dependent collective farms, this increases the poverty and food insecurity of the workers, while hurting the supply of rationed food to the general population. The institutional setup is a result of power dynamics where the elite, using the bureaucracy, tries to minimize the political threat of organized private producers by limiting their accumulation of wealth. Successful reform of the agricultural sector would require a redefinition of the power bases and relationships between the government and political stakeholders such as the bureaucracy and other groups (for example the civic society) by allowing participation of these stakeholders in the shaping of the reforms. The dissertation concludes by presenting an outlook for research and the international development organizations working in the country.
Livestock asset dynamics among pastoralists in Northern Kenya
(2017) Sousa-Poza, Alfonso; Mburu, Samuel; Kaiser, Micha
Understanding household-level asset dynamics has important implications for designing relevant poverty reduction policies. To advance this understanding, we develop a microeconomic model to analyze the impact of a shock (for example a drought) on the behavioral decisions of pastoralists in Northern Kenya. Using household panel data this study then explores the livestock asset dynamics using both non-parametric and semi-parametric techniques to establish the shape of the asset accumulation path and to determine whether multiple equilibria exist. More specifically, using tropical livestock units as a measure of livestock accumulation over time, we show not only that these assets converge to a single equilibrium but that forage availability and herd diversity play a major role in such livestock accumulation.
Operational poverty targeting by proxy means tests : models and policy simulations for Malawi
(2010) Houssou, Nazaire S. I.; Zeller, Manfred
There is a long standing belief that accurate targeting of public policy can play a major role in alleviating poverty and fostering pro-poor economic growth. Many development programs fail to reach the poor in that a sizeable amount of program benefits leak to higher-income groups and a substantial proportion of poor are excluded. This is also the case in Malawi, one of the poorest countries in Sub-Saharan Africa. In response to widespread poverty and endemic food insecurity, the country decision makers enacted various programs, including free food, food-for-work, cash-for-work, subsidized agricultural inputs, etc. To target these programs at the poor and smallholder farmers in the country, policy makers rely mainly on community-based targeting systems in which local authorities, village development committees, and other community representatives identify program beneficiaries based on their assessment of the household living conditions. However, most of these programs have been characterized by poor targeting and significant leakage of benefits to the non-poor due to a number of factors, including various local perceptions, favoritism, abuse, lack of understanding of targeting criteria, political interests, etc. Almost all interventions are poorly targeted in the country. Therefore, this research explores potential methods and models that might improve the targeting efficiency of agricultural and development policies in the country. Using the Malawi Second Integrated Household (IHS2) survey data and a variety of estimation methods along with stepwise selection of variables, we propose empirical models for improving the poverty outreach of agricultural and development policies in rural and urban Malawi. Moreover, the research analyzes the out-of-sample performances of different estimation methods in identifying the poor and smallholder farmers. In addition, the model robustness was assessed by estimating the prediction intervals out-of-sample using bootstrapped simulation methods. Furthermore, we estimate the cost-effectiveness and impacts of targeting the poor and smallholder farmers. It is often argued that targeting is cost-ineffective and once all targeting costs have been considered, a finely targeted program may not be any more cost-efficient and may not have any more impact on poverty than a universal program. We assess whether this is the case using household-level data from Malawi. More importantly, we evaluate whether administering development programs using the newly developed models is more target- and cost-efficient than past agricultural subsidy programs namely the 2000/2001 Starter Pack and the 2006/2007 Agricultural Input Support Program (AISP). Estimation results suggest that under the newly designed system, mis-targeting is considerably reduced and the targeting efficiency of development policies improves compared to the currently used mechanisms in the country. Findings indicate that the estimation methods applied achieve the same level of targeting performance. The rural model achieves an average poverty accuracy of about 72% and a leakage of 27% when calibrated to the national poverty line of 44.29 Malawi Kwacha (MK). On the other hand, the urban model yields on average a poverty accuracy of about 62% and a leakage of 39% when calibrated to the same poverty line. The results are also confirmed by the Receiver Operating Characteristic (ROC) curves of the models which show that there is no sizeable difference in aggregate predictive accuracy between the estimation methods. The ROC curve is a powerful tool that can be used by policy makers and project managers to decide on the number of poor a program or development policy should reach and ponder on the number of non-poor that would also be wrongly targeted. Calibrating the models to a higher poverty line improves its targeting performances, while calibrating the models to a lower line does the opposite. For example, under the international poverty line of US$1.25 (i.e. MK59.18 in Purchasing Power Parity), the rural model covers about 82% of the poor and wrongly targets only 16% of the non-poor, whereas the urban model covers about 74% of the poor and wrongly identifies 26% of the non-poor. On the other hand, using an extreme poverty line of MK29.81 disappointingly reduces the model?s poverty accuracy and leakage: the rural model yields a poverty accuracy of 51% and a leakage of 39% while the urban model yields a poverty accuracy of about 48% and a leakage of 68%. Furthermore, a breakdown of targeting errors by poverty deciles indicates that the models perform well in terms of those who are mistargeted; covering most of the poorest deciles and excluding most of the richest ones. These results have obvious desirable welfare implications for the poor and smallholder farmers. It is all important to mention that the models selected cannot explain but predict poverty. A causal relationship should not be inferred from the results. There is compelling evidence in favor of targeting since considering all costs does not make targeting cost- and impact-ineffective. Findings suggest that the new system is considerably more accurate and more target-efficient than the currently used mechanisms for targeting agricultural inputs in the country. Likewise, simulation results indicate that targeting the poor and smallholder farmers is more cost- and impact-effective than universal coverage of the population. Better targeting not only reduces the Malawian Government?s direct costs for providing benefits, but also reduces the total costs of a targeted program. Though administrative costs increase with finer targeting, the results indicate that the overall benefits outweigh the costs of targeting. Likewise, finer targeting reduces the costs of leakage by a sizable margin and produces the highest impacts on poverty compared to universal regimes. However, the finest redistribution does not consistently yield the best transfer efficiency, nor does it consistently improve post-transfer poverty. Furthermore, the newly designed system appears to be more cost-efficient than the 2000/2001 Starter Pack and the 2006/2007 Agricultural Input Support Program (AISP). While the Starter Pack and the AISP transferred about 50% of total transfer, under the new system about 73% of transfer is delivered to the poor and smallholder farmers. Likewise, under the new proxy system the costs of leakage are cut down by 55% and 57% for the Starter Pack and AISP, respectively. Thus, under the new system it is possible to reduce leakage and undercoverage rates and improve the cost and transfer efficiency of development programs in the country. The proxy indicators selected reflect the local communities? understandings of poverty and include variables from different dimensions, such as demography, education, housing, and asset ownership. These indicators are objective and most can be easily verified. However, the collection of information on those indicators might entail an effective verification process. Likewise, the emphasis put on proxy means tests in this research does not imply that other potential targeting methods should be disregarded. Indeed, proxy means tests are not perfect at targeting; the system developed can be combined with other methods in a multi-stage targeting process. Furthermore, targeting can be a politically sensitive issue; the system developed does not take into account the reality that policy makers, program managers, or development practitioners may adjust eligibility criteria due to political, administrative, budgetary, or other reasons. The models developed can be used in a wide range of applications, such as identifying the poor and smallholder farmers, improving the existing targeting mechanisms of agricultural input subsidies, assessing household eligibility to welfare programs and safety net benefits, producing estimates of poverty rates and monitoring changes in poverty over time as the country and donors cannot afford the costs of frequent household expenditure surveys, estimating the impacts of development policies targeted to those living below the poverty line, and assessing the poverty outreach of microfinance institutions operating in the country. This broad range of applications makes the models potentially interesting policy tools for the country. However, the models developed are not sufficient. They must also be coupled with investments in education, rural infrastructure, economic growth related sectors, and strong political will to impact on the welfare of Malawian people. The research also provides a framework for developing and evaluating a simple and reasonably accurate system for reaching the poor and smallholder farmers in Malawi, but the methodology can be useful in other areas of applied research and replicated in other developing countries with similar targeting problems.
Opportunities and constraints for agrofuels in developing countries : case studies on economic viability and employment effects of Jatropha production
(2010) Grass, Martin; Zeller, Manfred
This dissertation was motivated by controversial statements of politicians and lobby groups for and against first-generation agrofuel production. Therefore this thesis contributes to a more realistic view on opportunities and constraints for agrofuel production based on first-generation technologies. The findings are based on an intensive literature review covering the following topics: current production trends of ethanol and agrodiesel, their potential for fossil energy substitution and greenhouse gas reduction including related costs, rural development and poverty alleviation. This more general overview on agrofuels was deepened by own research on Jatropha seed production in India and Madagascar. In this context the economic viability of Jatropha seed production and possible income effects for households living in the vicinity of a Jatropha plantation were analyzed. For this special agrofuel feedstock the findings allowed shedding some light on important aspects of the much broader topic concerning the production of agrofuels. To cover the above mentioned topics this dissertation is structured around three research papers. The first paper identifies and discusses the opportunities and constraints of first-generation agrofuel production in developed and developing countries and is based on an intensive literature review. Therefore this paper contrasts arguments used by politicians to justify agrofuel support measures like energy security, greenhouse gas reduction potential, income generation and possible rural development with new scientific findings on each argument. Furthermore data on worldwide trends in ethanol and agrodiesel production were presented. The second paper focuses on one possible option to lower competition between food and agrofuel production at least partially. This option is seen in the production of Jatropha seeds on marginal land not suitable for food production. In this context an Indian case study revealed the economic viability of Jatropha seed production on marginal land. The database for this study includes data derived from literature as well as experimental field data provided by the ?International Crops Research Institute for the Semi-Arid Tropics?. The third paper addresses possible income effects for rural households offering their labour force to a Jatropha plantation in central Madagascar. The econometric impact assessment is based on a socio-economic household survey undertaken by the author in 2009. To account for possible selection bias the propensity score matching approach was used to estimate the average treatment effect on the treated by comparing the average income of Jatropha plantation households and control households. The findings for 336 households reveal positive income effects for households working at the Jatropha plantation. The dissertation concludes that more investments in research are needed to gain a potential win-win situation for rural households, investors and the environment especially for the case of developing countries. The results lead to the conclusion, that smallholder based Jatropha seed production should not be promoted in developing countries. Therefore this dissertation concludes further that it would be far better for developing countries to let international investors set up Jatropha plantations, hence in this case the economic risk is borne by the foreign investors. Furthermore abundant labour in rural areas could find employment opportunities with such plantations and therefore would be able to generate some income for their families. Nevertheless the implementation of Jatropha projects financed by international investor?s needs regulations set up by national governments. Those regulations should cover each aspect within the entire value chain of Jatropha agrofuel production and should be embedded in a national energy and rural development policy. Furthermore institutional frameworks such as land tenure security and labour rights have to be enforced. Setting up aforementioned regulations and institutional frameworks can prevent possible constraints such as, land grabbing, exploitation of rural labourers, loss of biodiversity and competition between Jatropha seed and food production e.g. for scarce water, which could occur due to foreign investment in local Jatropha (and other agrofuel feedstocks) cultivation in the worst case.
Payments for environmental services : incentives through carbon sequestration compensation for cocoa-based agroforestry systems in Central Sulawesi, Indonesia
(2008) Zeller, Manfred; Seeberg-Elverfeldt, Christina; Schwarze, Stefan
Up to 25 percent of all anthropogenic greenhouse gas emissions are caused by deforestation, and Indonesia is the third largest greenhouse gas emitter worldwide due to land use change and deforestation. On the island of Sulawesi in the vicinity of the Lore Lindu National Park (LLNP), many smallholders contribute to conversion processes at the forest margin as a result of their agricultural practices. Specifically the area dedicated to cocoa plantations has increased from zero (1979) to nearly 18,000 hectares (2001). Some of these plots have been established inside the 220,000 hectares of the LLNP. An intensification process is observed with a consequent reduction of the shade tree density. This study assesses which impact carbon sequestration payments for forest management systems have on the prevailing land use systems. Additionally, the level of incentives is determined which motivates farmers to desist from further deforestation and land use intensification activities. Household behaviour and resource allocation is analysed with a comparative static linear programming model. As these models prove to be a reliable tool for policy analysis, the output can indicate the adjustments in resource allocation and land use shifts when introducing compensation payments. The data was collected in a household survey in six villages around the LLNP. Four household categories are identified according to their dominant agroforestry systems. These range from low intensity management with a high degree of shading to highly intensified shade free systems. At the plot level, the payments from carbon sequestration are the highest for the full shade cocoa agroforestry system, but with low carbon prices of ? 5 tCO2e-1 these constitute 5 percent of the cocoa gross margin. Focusing on the household level, however, an increase of up to 18 percent of the total gross margin can be realised. Furthermore, for differentiated carbon prices up to ? 32 tCO2e-1 the majority of the households have an incentive to adopt the more sustainable shade intensive agroforestry system. A win-win situation seems to appear, whereby, when targeting only the shade intensive agroforestry systems with carbon payments, the poorest households economically benefit the most and land use systems with high environmental benefits are promoted.
Targeting of and outreach to the poor by rural development nonprofit organizations in Cameroon
(2010) Balgah, Azibo Roland; Buchenrieder, Gertrud
The importance of nonprofit organizations such as rural development organizations, farmers associations and common initiative groups as drivers of change in rural areas has been generally recognized in the economics of nonprofit organizations. While the economic theories attempt to explain the formation and functioning of nonprofit organizations, the targeting and outreach performance of these organizations has received little attention and at best is empirically divergent. Using the example of a nonprofit rural development organization in North West Cameroon, this paper analyzes the relative poverty of beneficiaries and non beneficiaries of its small scale fish farming program as a proxy for targeting efficiency. Poverty is measured through multiple indicators as well as household incomes. The results show that the nonprofit organization did a commendable job in serving poor communities, although its self targeting approach led to a disproportionately higher share of beneficiaries from the moderately poor and better-off terciles than from the poorest. Beneficiaries also had higher asset values and incomes than nonbeneficiaries, although the contribution of the fish farming activity to these was insignificant. This means that these households were already better-off prior to the program and not necessarily as a consequence of service delivery. The paper concludes with the need for relative poverty assessments prior to service delivery for improved targeting and outreach performance, while considering the additional costs involved.
Targeting the poor and smallholder farmers : empirical evidence from Malawi
(2009) Houssou, Nazaire; Zeller, Manfred
This paper develops low cost, reasonably accurate, and simple models for improving the targeting efficiency of development policies in Malawi. Using a stepwise logistic regression (weighted) along with other techniques applied in credit scoring, the research identifies a set of easily observable and verifiable indicators for correctly predicting whether a household is poor or not, based on the 2004-05 Malawi Integrated Household Survey data. The predictive power of the models is assessed using out-of-sample validation tests and receiver operating characteristic curves, whereas the model?s robustness is evaluated by bootstrap simulation methods. Finally, sensitivity analyses are performed using the international and extreme poverty lines. The models developed have proven their validity in an independent sample derived from the same population. Findings suggest that the rural model calibrated to the national poverty line correctly predicts the status of about 69% of poor households when applied to an independent subset of surveyed households, whereas the urban model correctly identifies 64% of poor households. Increasing the poverty line improves the model?s targeting performances, while reducing the poverty line does the opposite. In terms of robustness, the rural model yields a more robust result with a prediction margin ±10% points compared to the urban model. While the best indicator sets can potentially yield a sizable impact on poverty if used in combination with a direct transfer program, some non-poor households would also be targeted as the result of model?s leakage. One major feature of the models is that household score can be easily and quickly computed in the field. Overall, the models developed can be potential policy tools for Malawi.
The dietary quality of food pantry users from a socio-ecological perspective
(2019) Simmet, Anja; Ströbele-Benschop, Nanette
In Germany, around 1.5 Mio people with a low income receive food for a small fee from one of around 940 so-called “Tafel”. In high-income countries like Germany, users of food pantries are a particularly vulnerable population group, as they are characterized by cumulative health risks. They often suffer from food insecurity and from chronic diseases such as hypertension, diabetes mellitus type 2 or obesity. Given that these diseases as well as food insecurity both relate to diet, the dietary quality plays a critical role in the health status of food pantry users. To illustrate the dietary quality and the different levels of factors influencing the dietary quality among food pantry users, this thesis has the following aims: 1. to provide a summary of the scientific evidence about the dietary quality of food pantry users in high-income countries; 2. to provide a summary of the scientific evidence about the nutritional quality of food provided by food pantries in high-income countries; 3. to examine the distribution of Tafel food pantries and food banks and to provide a representative picture of their resources (e.g. food, volunteers etc.), activities (e.g. provided programs) and users in Germany; 4. to examine the distribution of Tafel food pantries and to identify compositional and physical environmental correlates of food pantry use in Berlin. To reach these aims, two systematic reviews were conducted (first and second publication). In addition, an explorative cross-sectional study consisting of an analysis of secondary data and a comprehensive survey among all Tafel belonging to the federal association “Tafel Deutschland” was performed (third publication). Finally, an ecological study was conducted by analyzing and mapping food pantry use and compositional and physical characteristics of areas in Berlin (fourth publication). The first review revealed that the dietary quality among the reviewed food pantry users tended to be low as reflected by an inadequate intake of energy, fruit and vegetables, dairy products and calcium compared to national recommendations. The reviewed food pantry users had, in particular, a lower consumption of dairy products compared to the general populations. The second review demonstrated that the nutritional quality of reviewed pre-packed food bags provided by food pantries was highly variable within and between included studies. It also showed that the nutritional quality of most of the food bags was low, reflected, in particular, by a low provision of dairy products, vitamins A and C and calcium compared to national recommendations. None of the studies included in the reviews were nationally representative. The third publication showed that the German food bank system Tafel Deutschland provided a comprehensive net of food pantries, social supermarkets, food banks and other services. However, the number of Tafel per 10,000 welfare recipients was lower in eastern Germany (M = 1.37) compared to western Germany ((M = 2.12), t(162.54) = 4.2424, p < 0.0001). In contrast to the results of the studies included in the second review, the Tafel mainly provided perishable food such as fruits and vegetables (41.42% of the amount of food distributed), bakery products (19.85%) and dairy products (13.39%). However, due to the dependence on donors such as retailers, the amount of food distributed varied widely. The assistance of most local Tafel is based on volunteer labor as 89.97% of Tafel’s staff were volunteers. In 79 districts, in which all Tafel participated in the survey, there was an average of 179 Tafel beneficiaries per 1000 welfare recipients and 17 Tafel beneficiaries per 1000 residents overall. An even lower usage was found by the fourth publication which revealed that only two out of 1000 adult inhabitants and six out of 1000 children received assistance from one of the 44 investigated Tafel food pantries in Berlin. Tafel use by adults (A) or by children (B) was related to the percentage of welfare recipients (A, β = 0.17, p < 0.001 und B, β = 0.16, p = 0.002), the percentage of inhabitants with migration background (A, β = - 0.08, p = 0.002), the number of discount grocery percentage stores per 1000 children (B, β = 5.65, p = 0.010), and the number of stops of the public transport within a radius of 500 meters (A, β = - 0.24, p = 0.020). The most important limitation of both studies was the unknown reliability of the data collected from the Tafel. The dietary quality of food pantry users in high-income countries was seen to be low. Although food pantries did not provide a full meal plan for a healthy diet, they may have a positive impact on the dietary quality of its users. However, to better understand the role of food pantries in the complex interplay of individual, social and environmental influences on the diet of food pantry users, multi-level approaches should be used in the future. Moreover, researchers are strongly recommended to investigate the mechanisms by which using a food pantry might impact users’ dietary quality. In addition to these implications for researchers, this thesis makes several recommendations to practitioners at food pantries in Germany and other high-income countries. Following these recommendations could make the position of food pantries in civil society into an important entry point for health promotion among a part of the food insecure population in the future.
Use of household food insecurity scales for assessing poverty in Bangladesh and Uganda
(2008) Alcarez V., Gabriela; Zeller, Manfred
An important dimension of poverty is access to food. Household food security implies access to the food needed for a healthy and productive life. Lack of access to and/or impaired utilization of food contribute to household food insecurity. This study compares the usefulness of a standardized food insecurity scale for determining the food insecurity status of rural and urban households in Bangladesh and Uganda, and for predicting poverty status. The analysis uses data from the IRIS Composite Survey Household Questionnaire (2004), which consists of 1,587 households (approximately 800 households in each country). The coping mechanisms adopted in the presence of food shortages represent the building blocks for the development of the scale (7 items). In order to assess the suitability of the scale as an estimator of the households? poverty status, the benchmark indicator ?daily expenditures per capita? and its relation to the corresponding poverty line serves as the basis for evaluation for each country. The scale provides the means for classifying the households into 3 main groups: Non Food Insecure, Moderately Food Insecure, and Severely Food Insecure. The reliability of the scale is measured via the Cronbach?s Alpha statistic. In addition, the scale is used in regression analysis in order to predict per capita daily expenditures and the poverty incidence. The results show that food insecurity does not always reflect (income) poverty. However, the use of the scale as a predictor of poverty status produces rough estimates of poverty incidence that could be useful as background information. The differentiation of households according to their food security status may be valuable for focusing and developing improved food insecurity mitigation strategies.