Assessing the Vulnerability of Rural Households to Floods at Pol-e Dokhtar Region in Iran

The agricultural sector in rural areas is seriously affected by climate change, affecting agricultural production and farming communities. This paper investigates rural households’ vulnerability to floods in the seven agricultural-based regions of Pol-e Dokhtar, south of Lorestan Province, Iran. The primary data for the vulnerability indicators were collected from 322 households. Three main components of vulnerability, including exposure, sensitivity, and adaptive capacity, were measured using the obtained data. The weighting of indicators was done by the MSF method and using MATLAB software. The results showed that the social and economic characteristics of households affect their vulnerability to floods. The Jayder, Mamolan, and Afrineh regions, which were more exposed to floods, had less capacity for adaptation. The results showed that the most vulnerable communities could be described by characteristics such as low levels of agricultural insurance, limited access to credit, low levels of income diversification, high levels of unemployment, low levels of social capital, higher dependency ratios, and poor infrastructure. This research showed that diversified livelihoods have a significant effect on reducing farmers’ sensitivity to floods. The study proposes policy implications to increase resilience and reduce farmers’ vulnerability to floods. The government and other development partners should prioritize the most vulnerable areas by improving their access to finance and providing the technical assistance required for increasing their coping capacity.

Determinants of Rural Households’ Poultry Chicken Breeds Choice in Wolaita, Ethiopia

To achieve increased productivity in poultry chicken, households’ choice of poultry chicken breeds should be maintained according to their desirability. This study aimed at identifying determinants of rural households’ choice of poultry chicken breeds keeping in Wolaita, Ethiopia. Multistage sampling techniques were used. First, Damot Pulasa district was selected purposively because of high poultry production potential, and then simple random sampling technique was used to select five kebeles and at third stage systematic random sampling was used to select 160 rural households. Data were collected through interview schedule and analyzed using descriptive statistics and econometric regression. Result showed that 54.37% of households owned indigenous poultry chicken breed, 38% owned exotic poultry chicken breeds and 7.63% owned both indigenous and exotic poultry chicken breeds. Households attached socioeconomic, demographic and institutional factors and breed related traits to their poultry chicken breed choices. Indigenous chicken breeds were preferred in mothering ability, disease resistance, scavenging ability; taste of meat and egg traits whereas exotic poultry chicken breeds were preferred for growth rate, productivity and total eggs laid per chicken per year. In addition, Multinomial Logit model result indicated that age and education level of household head determined poultry chicken breed choice. To be effective and efficient any poultry chicken breed promotion effort in the future should consider these particular preferences of households.

Impact of the COVID-19 lockdown on the economic situation and food security of rural households in India

PurposeThe purpose of the study is to understand what impact the first COVID-19 lockdown in 2020 had on the income and food security of rural households in India and whether it differed across socioeconomic factors. Moreover, the study assesses the needs of rural households and determines whether they had received adequate support services during the lockdown.Design/methodology/approachThe study adopted a repeated-measures quantitative survey design with 1,319 rural women from 16 states of India and conducted a telephonic survey.FindingsThe lockdown had directly impacted rural households' employment status and income but the impact differed depending on the type of employment. For example, working in a salaried job or on one's farm led to a lower likelihood of a complete decline in income in states other than Kerala as the lockdown continued. The study also revealed a change in the pattern of food consumption, with higher consumption of subsidized staple foods. It also became evident that the aid announced by the government reached the rural population with some delay.Research limitations/implicationsA limitation of the study was that many respondents refused to participate in phase 2, which reduced the sample size when comparing the two phases because the women did not own mobile phones. Instead, they were using their husbands' phones.Originality/valueThe study's findings can help better understand the needs of rural populations during crises, such as the COVID-19 pandemic. This can help to plan better and build preventive actions for such populations once their needs are understood. In addition, this can aid disadvantaged people for a minimal level of preparedness and security during such a crisis in the future.

Impacts of Social Trust on Rural Households’ Attitudes towards Ecological Conservation—Example of the Giant Panda Nature Reserves in China

Understanding rural households’ conservation attitudes is crucial to achieving biodiversity conservation effectiveness, and one underlying predictor of household conservation attitudes is social trust. This study examined the impact of rural households’ social trust on their ecological protection attitudes based on 922 rural household data around 13 giant panda nature reserves in Shaanxi Province and Sichuan Province, China. The results show that: (1) Social trust has a significant positive impact on rural households’ conservation attitudes. (2) Males’ ecological conservation attitudes are influenced by all the social trust variables, whereas females’ attitudes are influenced mainly by interpersonal trust (trust in neighbors and villagers). The conservation attitudes of households with higher education levels and higher family incomes are mainly affected by trust in government, while those with lower education levels and lower family incomes are more significantly affected by the trust in villagers and village cadres. The above conclusions are helpful to understand the influencing mechanism of rural households’ conservation attitudes and improve the protection effects of nature reserves.

Rural Livelihood Activities

Rural households are found to depend on diverse portfolio of activities and income sources. This study sought to explore the diverse livelihood activities of rural households in Awra Amba Community. Both qualitative and quantitative methodologies were used to collect data. Content analysis method was used to analyze the data. The results of the study revealed that almost all members (94%) of Awra Amba community are depending on non-farm activities because of the scarcity of land. As a result, they are dominantly weavers (86%) and the rest are traders. The results of the study indicated that weaving is their major source of livelihood and a backbone for their survival.

Nutritional Status of Rural Households: A Case Study in Cooch Behar District of West Bengal

The present work focuses on studying the effect of socio-economic factors on nutritional status of rural households under the Coochbehar-II block of Coochbehar district in West Bengal. A well-structured interview schedule was prepared to collect information about the socio-economic status and nutritional status of the respondents. As an indicator of Nutritional status, the Body Mass Index (BMI) values of the respondents were studied. In the present study, the Independent-Samples Kruskal-Wallis Test and Independent-Samples Mann-Whitney U Test (non-paramedic test) were employed to study the effect of different socio-economic variables on nutritional status of the respondents. Age of the respondents, educational qualification of the respondents, Family size, and House type of the respondents were found to significantly affect the BMI scores of the respondents. The categories of the significantly contributing variables for nutrition like age, education, and house type show significant associations with the BMI categories using Contingency table and Chi-square test.

In 70 years how did the New China eliminate extreme poverty?

China is noted for remarkable reductions in rural poverty and aims to eliminate it by 2020. Achieving this outcome requires identification of the remaining poor population and a strategy that effectively addresses the causes of their poverty. This article explores the ways in which China has converted itself from the poorest country in the world in 1949 to a country in which extreme poverty is on the verge of disappearance. It examines the roles of economic growth and a a targeted combination of traditional development-oriented policy for poverty counties, villages and regions with wider minimum life guarantees and welfare services. The conclusions draw on a 2017 survey of 4,626 rural households and 13,689 individuals in 628 counties to point to some of the characteristics of the contemporary rural population.

The Impact of Rural Livelihood Diversification on Household Poverty: Evidence from Jimma Zone, Oromia National Regional State, Southwest Ethiopia

In Ethiopia, agriculture is the principal source of food and livelihood for many rural households, making it a central component of programs that seek to reduce poverty and achieve food security. Since the sector is faced with many challenges, rural households are compelled to develop strategies through diversification to cope with the increasing vulnerability associated with agricultural production. As a result, the purpose of this research is to assess the impact of livelihood diversification on household poverty in the Jimma zone of Ethiopia’s Oromia regional state. A multistage sampling procedure was employed to select 385 sample household heads. The study utilized data obtained from a cross-sectional survey using an interview schedule, focus group discussion, key informant interview, and personal observations. Both descriptive and econometric data analysis techniques were applied. The result of the FGT poverty measure revealed that the incidence of poverty among rural households was 37.14%, implying that 62.86% were non-poor. The descriptive statistics revealed that age of household, dependency ratio, year of schooling, sex of household, livestock ownership, landholding, non-farm income, market distance, and extension contact were found to have a significant influence on the poverty status of a household at different probability levels. Based on the cost of basic needs approach, it was applied to measure poverty status. The results of the logit model indicate that family size, landholding, livestock ownership, year of schooling, access to credit services, and off-farm income of the households were found to have significantly determined livelihood diversification. Moreover, the results of the propensity score matching indicate that household participation in livelihood diversification has a positive and significant impact on household poverty. Accordingly, households with diversified livelihoods were found to be 9% better off than those that were not diversified in terms of poverty. Policies aimed at increasing the income generation ability of the household should be strongly considered. Therefore, to ensure the capacity of rural households to practice farming along with a wide range of income-generating activities to improve the well-being of the rural poor and have a significant impact on poverty reduction, participating in livelihood diversification should be given emphasis in development planning.