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1. An integrated bioeconomic local economy-wide assessment of the environmental impacts of poverty programs

   https://doi.org/10.1073/pnas.1816093116  

   Gilliland, Ted E.; Sanchirico, James N.; Taylor, J. Edward (April 2019, Proceedings of the National Academy of Sciences)

   A new generation of poverty programs around the globe provides cash payments to poor and vulnerable households. Studies show that these social cash transfer programs create income and welfare benefits for poor households and the local economies where they live. However, this may come at the cost of damaging local environments if cash payments stimulate food production that conflicts with natural resource conservation. Evaluations of the economic impacts of poverty programs do not account for the welfare consequences of environmental impacts, which are potentially large for poor communities closely tied to natural resources. We use an ex-ante policy simulation tool, a bioeconomic local computable general equilibrium model parameterized with microsurvey data, to analyze the expected welfare consequences of environmental degradation caused by a cash transfer program. For a Philippine fishing community that is a net importer of fish, we show that a government cash transfer program initially increases real incomes for all households. However, increased demand for fish leads to a decline in the local fish stock that reduces program benefits. Household groups experience declines in real income benefits of 2–63%, with fishing households suffering the largest declines. Impacts on local fish stocks depend on the extent to which markets link fishing communities to outside regions through trade. Greater market integration can mitigate the fish stock decline, but this reduces the local income benefits of cash transfers. 

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2. Bangladesh Environment and Migration Survey (BEMS), 2019 :Version 1

   https://doi.org/10.3886/ICPSR38846.v1  

   Carrico, Amanda; Donato, Katharine M. (January 2023, ICPSR - Interuniversity Consortium for Political and Social Research)

   The Bangladesh Environment and Migration Survey (BEMS) collects detailed retrospective information about migration trips in southwest Bangladesh, including the first, last, and second-to-last to internal destinations, India, and other international destinations. BEMS collects information about the year, origin, destination, and duration of all trips. Furthermore, BEMS includes information on migration and livelihood histories, socioeconomic conditions, agricultural resources and practices, disasters and perceptions about environment, and self-reported health.</p> Dataset 1 is a household-level file with information about household composition, economic and migratory activity of household members, land ownership/usage, business ownership, household environmental perceptions, environmental conditions, agricultural activities, and physical and psychological health/well-being of household members. Dataset 2 is an individual-level file containing details of internal and international migration trips, as well as measures of economic and social activity during those trips. It also contains information provided by household heads, spouses, and other migrants in the household. Dataset 3 is an individual-level data file that provides general demographic information and brief migration history for each member of a surveyed household. It also includes health information for the head of household and spouse.</p> The purpose of the Bangladesh Environment and Migration Survey (BEMS) is to understand patterns and processes of contemporary internal and international migration in Bangladesh. The project derives from a multi-disciplinary research effort that will generate data on the characteristics and behavior of Bangladeshi migrants and non-migrants and the communities in which they live, and examine whether and how environmental stressors (e.g., salinity, riverbank erosion) affect patterns of migration in this region. The household ethnosurvey is administered to self-identified household heads and spouses in randomly selected households. After gathering social, demographic, and economic information on households and their members, interviewers will collect basic information on each person's first, 2nd to last, and last (or most recent) internal and international migration trips. From household heads and spouses, they will compile migration histories and administer a detailed series of questions about a selection of these trips, focusing on economic livelihoods, methods of moving, connections to other migrants, and use of health and school services. In addition to detailed migration histories, the BEMS will collect information about household wealth, physical conditions of households and communities, and perceptions of environmental conditions. It will also gather some self-reported health information about household members, such as recent illnesses, use of health services, height and weight, and diet. The BEMS is closely modeled on the sampling design and ethnosurvey used in the Mexican Migration Project. The BEMS data were collected in 20 research sites from a random sample of 200 households in each site in 2019. BEMS data include a total of 4,000 households in communities broadly covering the southwest region of Bangladesh. Households in southwest Bangladesh. Smallest Geographic Unit: Administrative region For more information about this study, please visit the ISEE Bangladesh project website.</p> 

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3. How much consumption insurance in the U.S.?

   Hryshko, Dmytro; Manovskii, Iourii (September 2022, Journal of monetary economics)

   We identify two sets of households in the Panel Study of Income Dynamics (PSID) differing dramatically in their income and consumption dynamics, although both should be equally representative. The degree of consumption insurance in each subsample is consistent with the standard incomplete-markets model’s prediction. We contrast PSID and administrative earnings data and study the patterns in international datasets modeled on the PSID. We find an important role of differential attrition based on the dynamic properties of incomes in inducing the differences and identify PSID households providing a better guide to income dynamics and consumption insurance in the U.S. 

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4. Structural equation modeling to identify social drivers for water use in low-income communities in Southern Texas

   Saleh, N. B.; Rowles III, L. S.; Lawler, D. (March 2019, 257th American Chemical Society National Meeting)

   The colonias in Texas along the Mexican border are self-built neighborhoods of low-income families that lack basic infrastructure. While some funding from the State of Texas has built roads and provided electricity, water and sewage systems are still lacking for many of the estimated 400,000 colonias’ residents. Of those that do have tap water, the supply is either inadequate or of questionable quality. These communities have suffered from waterborne disease, such as cholera epidemics, over the past few decades. This research is the first to collect a comprehensive dataset on water use, socio-economic parameters, and actual water quality in selected colonias in several counties in Texas. A quantitative statistical model has been developed using structural equation modeling, that relates social drivers for water use and management with actual water quality. Water quality parameters measured in these communities include traditional microbial indicators (total coliforms, E. coli, and heterotrophs), pH, hardness, free and total chlorine, and metals (arsenic and lead). The model explores relationships among latent variables relating water, health, and living situation to assess potential impacts of a water treatment technology in these low-income households. The study provides quantitatively reports for the need and desire of adopting a point-of-use treatment system, evaluates the relationship between perceived versus actual water quality, and determines the factors that influence the choice of drinking water. This model can be adopted for identifying social drivers for water use and management in other low-income communities in the United States. 

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5. Increasing Evacuation During Disaster Events

   Kuhlman, Chris J; Marathe, Achla; Vullikanti, Anil; Halim, Nafisa; Mozumder, Pallab (May 2020, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems)

   null (Ed.)

   Timely evacuation is a standard recommendation by local agencies before disaster events such as hurricanes, which have enough advance notice. However, it has been observed in many recent disasters (e.g., Sandy), that only a small fraction of the population evacuates in time. Recent work by social scientists has examined the factors that influence household evacuation decisions; in addition to individual factors it has been found that peer effect plays a role in this decision but in two opposing ways. Specifically, households are motivated to evacuate if their neighbors evacuate. However, if too many neighbors leave then some households have concerns of looting and crime, and they choose not to evacuate. This makes the dynamics of evacuation very complex. In this paper, we use a detailed agent based model to study the dynamics of evacuation in Virginia’s coastal region. We use data from a large survey and social contagion and collective action theories to develop the model. We evaluate different strategies to increase evacuation. 

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