• Energy Research

These days, one of the global challenges is the growing demand for food. To be more specific, seafood bases play a key role in filling the nutritional requirements of human beings. In Africa (Ethiopia) the public expenses to improve productive capacity in aquatic food are increasing. Additionally, the expenses in dams and in fishers’ capacity building have increased households’ engagement in the fishery sector in Ethiopia. Cooperatives’ productive capacity has been strengthened by the government and other non-government organizations with the supply of fishing boats, refrigerators, fish nets and other office supplies. However, the effect of such public expenses in bringing changes in the households’ livelihood and welfare has never been assessed in this study area. This paper aims to investigate what motivates the households to fish and assess the effect of fisheries on the households’ livelihood and welfare. A structured survey consisting of 313 rural households was administered using trained enumerators in two kebeles located close to the Tekeze dam, Northern Ethiopia. The result indicates that socioeconomic characteristics, such as age (young), sex, education, and active family size were driving the households to fishing. Access to market and access to support are driving farmers to fisheries. There is a significant difference in fishing households’ income which is higher than non-fishing households. The results also indicate that there are lesser income inequalities among fishery households operating in cooperatives compared to private fishery households.

One of the most important environmental problems in Iran is the destruction and drying of Urmia Lake (UL). UL is one of the main causes of suitable weather for agricultural boom and tourist attraction and it should be considered that the villagers exposed to UL drying have a strong dependence on vulnerable resources such as water, air, soil and plants for their livelihoods and have low adaptive capacity with this crisis for reasons such as poverty, lack of awareness and lack of infrastructure. This study was designed to evaluate the vulnerability of rural households to UL drying in the Shabestar region. The vulnerability was calculated based on Intergovernmental Panel on Climate Change (IPCC) definition and using vulnerability index (VI). Research population included rural households of Shabestar region (N = 19,249) and about 347 households were selected as the research sample using multistage cluster sampling technique. Results showed that the average score of respondents was 0.455 (moderate) in exposure, 0.359 (moderate to low) in sensitivity, 0.404 (moderate to low) in adaptive capacity and finally, the vulnerability index (VI) was 0.470 (range of 0 to 1). 12.8% of households had low, 70.5% had medium and 16.7% had high vulnerability towards UL drying.

Drought is regarded as a slow-onset natural disaster that causes inevitable damage to water resources and to farm life. Currently, crisis management is the basis of drought mitigation plans, however, thus far studies indicate that effective drought management strategies are based on risk management. As a primary tool in mitigating the impact of drought, vulnerability assessment can be used as a benchmark in drought mitigation plans and to enhance farmers’ ability to cope with drought. Moreover, literature pertaining to drought has focused extensively on its impact, only awarding limited attention to vulnerability assessment as a tool. Therefore, the main purpose of this paper is to develop a conceptual framework for designing a vulnerability model in order to assess farmers’ level of vulnerability before, during and after the onset of drought. Use of this developed drought vulnerability model would aid disaster relief workers by enhancing the adaptive capacity of farmers when facing the impacts of drought. The paper starts with the definition of vulnerability and outlines different frameworks on vulnerability developed thus far. It then identifies various approaches of vulnerability assessment and finally offers the most appropriate model. The paper concludes that the introduced model can guide drought mitigation programs in countries that are impacted the most by drought.

This paper analyzes the impacts of financial management and farming practices on the technical efficiency of Sengcu rice growers in Laocai, a mountainous province of Vietnam. The stratified random sampling method was employed to select 170 households representing two typical ecologies, lowland and upland. The structured questionnaire was applied to collect primary data through face-to-face interviews regarding current farming practices in the 2016–2017 growing seasons and farm-specific characteristics. The importantly, the study makes recommendations for policy-makers regarding how to manage provision extension, irrigation, and credit services more effectively and for producers regarding how to better manage cash-flows and receive more benefits from public support in order to improve the effectiveness of rice production and make a livelihood while working towards sustainability.

Despite the presence of several studies on technology adoption, there are limited empirical studies on how socio-psychological factors affect the adoption of sustainable agriculture. Therefore, this paper investigates how socio-psychological factors-such as social capital, information, attitudes, efficacy, and aversion-affect smallholder farmers’ decisions to adopt sustainable land management practices, such as agroforestry systems, organic compost, and crop rotation with legumes. Cross-sectional data are collected from 350 randomly selected farm households using a pre-tested and structured questionnaire. A multivariate probit model is used to investigate factors that influence the probability of adopting these practices. The ordered probit model is also applied to identify and analyze the determinants of the number (intensity) of land management practices adopted. The findings indicate that nearly half of the farmers have adopted these land management practices to improve soil fertility, enhance water retention capacity, and increase productivity. It is also found that attitudes, information, education, group membership, relational capital, risk attitudes, and labor supply significantly affect the probability of adopting these agricultural practices. The estimates of the ordered probit model also indicate that extension services, risk attitudes, group membership, relational capital, education and labor supply are major determinants of the number of land management practices used. However, financial resources, biophysical factors and some demographic factors are found to have an insignificant effect on sustainable agriculture adoption. This implies that when it is necessary to promote sustainable land management practices and to stimulate smallholder farmers to adopt such practices in isolation or combination, specific strategies should be designed to improve awareness, build positive attitudes, reduce risk aversion, strengthen formal organizations, and empower endogenous groups (or informal institutions).

The main purpose of this study was to analyze Iran’s developmental plans in order to examine and compare their direction and conformity with the sustainable development theory via the compass of sustainability. The approach involves a content analysis used in line with qualitative research methodologies. The results indicated that, in the first developmental plans, there was no direct reference to sustainable development. In the second to fifth plans, the main focus was on the social, environmental, and economic dimensions of development; which were common elements seen in the policies of all the plans. An analysis of the fourth plan revealed that expressions related to sustainable development appeared more frequently, indicating a stronger emphasis on sustainable development by decision-makers.

This paper scrutinized the links between social status and income of rural households to provide insight into how social status is indicated and used as a strategy for improving livelihood income. It also provides a brief look into some selected key determinants of livelihood income. We applied a two-stage least-squares estimation to household-level data from rural areas in the Tigray regional state of Ethiopia. We also proposed the latent class analysis model to identify the number of classes for the variable “social status”. The results indicate that livelihood income is significantly affected by households’ social status, indicating that high status household heads tend to enhance their participation in different social networks with the intention of strengthening the social bonds that they have and improving their status in the community, which in turn has an economic payback. Apart from this, household heads’ access to off-farm work, size of owned land, exposure to multimedia, livestock ownership and spatial proximity to towns were the variables that have significant positive effects on livelihood income.

Ethiopia has experienced more than five major droughts in the past three decades, leading to high dependency on international food aids. Nevertheless, studies indicate that asset depletion has not been prevented; neither did food insecurity diminish. Since 2004/5, the Productive Safety Net Programme (PSNP) has been implemented to improve food security in Tigray, Northern Ethiopia. Critics point out that the implementation of food aid programmes can have negative impacts as well as positive outcomes for local communities. Accordingly, this survey study aimed to analyse the distribution and allocation of food aids in the Productive Safety Net Programme (PSNP) in Tigray. Results of 479 interviews revealed that targeting different households in the PSNP has been considerably linked to socio-demographic attributes among which age and size of family were decisive factors to receive food aids. Furthermore, older households with smaller family size received more direct support. Inequality between genders was another major finding of this study. When combined with the marital status, there was also a big difference in the percentage of married or unmarried women receiving food aids. These findings could provide fundamental information for policy intervention to correct food security programmes at household level and reduce hunger. Given that, socio-demographic factors can help to identify particular and usually different requirements, vulnerabilities and coping strategies of the members of the food aid programme, so that they can be much more addressed when an emergency happens.