DOES LAND EXPROPRIATION INCREASE HOUSEHOLD CONSUMPTION AND SAVINGS RATE? EVIDENCE FROM RURAL CHINA

This paper estimates how land expropriation affects household consumption and savings rate using a nationally representative household data from China. We argue that land expropriation is likely to be random across households within the same village. We find that land expropriation has positive and statistically significant effects on per capita household consumption and savings rate. The effects on consumption of durable goods and on savings rate, however, weaken and become insignificant over time.

Targeting ‘highly vulnerable’ households during strict lockdowns

In this brief article, we attempt to quantify the number of households in the country which are ‘highly vulnerable’ to hunger and poverty due to sudden and highly restrictive lockdowns, such as the enhanced community quarantine, and other social distancing measures, as well as estimate the budget that will be needed to address their vulnerability. ‘Highly vulnerable’ households are defined in this study as those unlikely to have incomes during strict lockdown periods because of the employment characteristics of their employed members and which likely have little or no savings to tide them over. Using nationally-representative household data, we define a job loss index to identify the employment characteristics that are most sensitive to the lockdown measures, and given these employment characteristics, identify the ‘highly vulnerable’ households. Depending on the pre-lockdown income threshold eligibility used, we estimate the number of ‘highly vulnerable’ households in the country at anywhere from 7.4 million to 11.3 million. At ₱5,000 per ‘highly vulnerable’ household, the estimated costs amount to ₱36.9 billion to ₱56.5 billion, again depending on the income threshold used. We also propose a way for the government to operationalize the process of identifying and helping ‘highly vulnerable’ households.

Resilience toward Volcanic Eruptions: Risk Perception and Disaster Microinsurance in Yogyakarta, Indonesia

Disaster microinsurance has been argued to enhance people’s resilience toward natural hazards. In developing countries, however, the uptake of this insurance scheme has been limited. This paper investigates the influence of the perception of disaster risks on the probability of local people participating in a hypothetical disaster microinsurance scheme. We use household data to assess a specific disaster risk, notably the risk of an eruption of the Mount Merapi in Yogyakarta. We find that this perception positively influences the interest to participate in disaster microinsurance. We also find that insurance literacy has a strong positive relationship with the respondent’s interest to participate in disaster microinsurance.

Socioeconomic determinants of Schistosoma mansoni infection using multiple correspondence analysis among rural western Kenyan communities: Evidence from a household-based study

Background Socioeconomic inequality including wealth distribution is a barrier to implementation of health policies. Wealth distribution can be measured effectively using household data on durable assets. Compared to other methods of analysing Socio-economic Status (SES) using durable assets, Multiple Correspondence Analysis (MCA) can create more reliable wealth quintiles. We therefore evaluated socioeconomic determinants of Schistosoma mansoni using MCA on household data among adult population in western Kenya. The hypothesis of this study was that MCA would be a useful predictor of S. mansoni prevalence and/or intensity. Methodology Twelve villages, 6 villages that had showed the greatest decrease in S. mansoni prevalence (Responder villages) and 6 villages that showed relatively lower decrease (Hotspot villages) between the year 2011 and 2015 were randomly selected for this study. This was according to a previous Schistosomiasis Consortium for Operational Research and Elimination (SCORE) report from western Kenya. From each village, convenience sampling was used to identify 50 adults from 50 households for inclusion in this study. An interview with a questionnaire based upon MCA indicators was conducted. One stool sample from each of the 600 adults was examined based on four slides for S. mansoni eggs using Kato Katz technique. Mean Eggs per gram(EPG) was calculated by taking the average of the readings from the four slides. A log binomial regression model was used to identify the influence of the various age-groups(<30 years, 30-60 years and >60 years), household size, wealth class, occupation, education status, main water supply, sex and sub-county of residence on S. mansoni infection. EPG was then compared across variables that were significant based on multivariate log binomial model analysis using a mixed model. Principal findings Overall prevalence of S. mansoni was 41.3%. Significantly higher prevalence of S. mansoni were associated with males, those aged below 30 years, those who use unsafe water sources (unprotected wells, lakes and rivers), residents of Rachuonyo North, Hotspot villages and those earning livelihood from fishing. Only sex and household size were significant predictors in the multivariate model. Males were associated with significantly higher prevalence compared to the females (aPR = 1.37; 95% CI = 1.14–1.66). In addition, households with at least four persons had higher prevalence compared to those with less than four (aPR = 1.29; 95% CI = 1.03–1.61). However, there was no difference in prevalence between the wealth classes(broadly divided into poor and less poor categories). Intensity of infection (Mean EPG)was also significantly higher among males, younger age group, Rachuonyo North residents and Hotspot Villages. Conclusion Socioeconomic status based on an MCA model was not a contributing factor to S. mansoni prevalence and/or intensity possibly because the study populations were not sufficiently dissimilar. The use of convenience sampling to identify participants could also have contributed to the lack of significant findings.

Effect of Transaction Costs on Profit and the Capital Formation of Soybean Farming in Lamongan Regency, East Java

Transaction costs was one of imperfect market characteristic. The transaction costs of soybean farming affected profit level, and profit was one factor of capital formation. This research aimed to analyze the structure and the effect of transaction costs on the profitability and the capital formation of soybean farming. This study applied transaction cost analysis and simultaneous equation as the methods. The respondents were determined using simple random sampling by taking the proportion of 25% for the three selected districts, resulting in 120 respondents. The data were the transaction costs in 2014/2015 and household data from 2012 to 2014, comprising the assets of land, vehicles, farm equipment, crop, and livestock. The results revealed that the transaction costs were IDR 144,120.86. The negotiation costs became the highest cost component (60.30%), followed by information costs (14.07%), coordination costs (12.22%), implementation costs (8.03%), monitoring costs (4.23%) and risk costs (1.15%). Transaction costs had a significant effect on the profitability of soybean farming. The highest percentage of capital formation on soybean farming was for farmland, reaching 40.43%. Other capitals included vehicles (24.59%), plants (19.31%), building (7.37%), and supporting tools (3.09%). Transaction costs did not significantly effect on farming capital formation. As a recommendation, collective action was required, farmers should be active on farmers groups to reduce transaction costs.

Does Salience of Neighbor-Comparison Information Attract Attention and Conserve Energy? Eye-Tracking Experiment and Interview with Korean Local Apartment Residents

The purpose of this paper is to examine whether salience of neighbor comparison information attracts more attention from residents and consequently leads to significant energy conservation. An eye-tracking experiment on 54 residents in a local apartment complex in Korea found that the average time of attention to the neighbor comparison information increased to 277 ms when the size of the information was four times larger and the information was located to the far left. However, the interviews with the subjects suggest that salience of the information is seemingly unrelated to energy conservation, because most of them did not agree with the social consensus that individuals need to refrain from consuming energy when they know that they have consumed more than the neighbor’s average. Utility data on 502 households in the apartments revealed that, of the households notified that they consumed more than their neighbors, only less than 50% reduced their energy consumption, which supports the interview results. Therefore, it was concluded that neighbor comparison information did not lead to significant energy conservation effects in the community, although salience of the information contributed to attracting more attention to the information. Unavailable household data remained as limitation to clarify the effect by households.

Climate change and air conditioning adoption: the role of remittances

&lt;p&gt;Do remittances improve how households adapt to global warming? We explore this question exploiting a nationally-representative household data from Mexico - a country that experiences a large flow of remittances. Mexican households respond to excess heat by purchasing air conditioning and remittances can be used to adopt and use cooling devices that contribute to maintaining thermal comfort at home. Our results show that recipient households have a higher probability to adopt air conditioning at home with important implication on electricity consumption. The effect is even larger for those households living in high-temperature areas showing an important role of remittances in the climate adaptation process.&lt;/p&gt;

The role of children in the spread of COVID-19: Using household data from Bnei Brak, Israel, to estimate the relative susceptibility and infectivity of children

One of the significant unanswered questions about COVID-19 epidemiology relates to the role of children in transmission. This study uses data on infections within households in order to estimate the susceptibility and infectivity of children compared to those of adults. The data were collected from households in the city of Bnei Brak, Israel, in which all household members were tested for COVID-19 using PCR (637 households, average household size of 5.3). In addition, serological tests were performed on a subset of the individuals in the study. Inspection of the PCR data shows that children are less likely to be tested positive compared to adults (25% of children positive over all households, 44% of adults positive over all households, excluding index cases), and the chance of being positive increases with age. Analysis of joint PCR/serological data shows that there is under-detection of infections in the PCR testing, which is more substantial in children. However, the differences in detection rates are not sufficient to account for the differences in PCR positive rates in the two age groups. To estimate relative transmission parameters, we employ a discrete stochastic model of the spread of infection within a household, allowing for susceptibility and infectivity parameters to differ among children and adults. The model is fitted to the household data using a simulated maximum likelihood approach. To adjust parameter estimates for under-detection of infections in the PCR results, we employ a multiple imputation procedure using estimates of under-detection in children and adults, based on the available serological data. We estimate that the susceptibility of children (under 20 years old) is 43% (95% CI: [31%, 55%]) of the susceptibility of adults. The infectivity of children was estimated to be 63% (95% CI: [37%, 88%]) relative to that of adults.