Search results

The purpose of this study is to identify the most vulnerable households and districts in Northwest Ethiopia and help decision-makers in developing and prioritising effective adaptive strategies and actions.

A multi-scale analytical tool and hazard-generic socio-economic indicators were developed to identify and prioritise the most vulnerable households and districts in Northwest Ethiopia. Categorical principal component analysis with 36 indicators was used to develop weights for different indicators and construct a household intrinsic vulnerability index. Data were collected through key information interviews, focus group discussions and a household survey with 1,602 randomly selected households in three districts of Northwest Ethiopia.

Drawing on intrinsic vulnerability index computation, this study highlights that low levels of education, low access to climate information and credit services, long distance travelled to fetch water and frequent food shortages are the dominant factors contributing to high levels of intrinsic vulnerability at district level, while lack of livelihood support and income diversification are the key drivers of vulnerability at household level. The findings of this study further show that the majority of households (78.01%) falls within the very high to moderately high vulnerable category. Disaggregating the data according to agro-climatic zones highlights that the prevalence of high intrinsic vulnerability is most widespread in the lowland agro-climatic zone (82.64%), followed by the highland (81.97%) and midland zones (69.40%).

From a policy intervention vantage point, addressing the drivers of vulnerability provides a reliable approach to reduce the current vulnerability level and manage potential climate change-induced risks of a system. Specifically, reliable information on inherent vulnerability will assist policymakers in developing policies and prioritising actions aimed at reducing vulnerability and assisting in the rational distribution of resources among households at a local level.

This study contributes to the existing vulnerability literature by showing how hazard-generic socio-economic indicators in the vulnerability assessment adopted by the IPCC (2014) are important to identify drives of vulnerability which ultimately may feed into a more fundamental treatment of vulnerability.

The growing rate of desertification in Northwestern China and Mongolia that is occurring as a result of the conflict between economic development and natural conservation has been demonstrated in many studies. There have, for example, been some large studies using variations in bi‐weekly normalized difference vegetation index (NDVI) satellite images as a parameter for evaluating the vegetation dynamics in these areas. The purpose of this paper is to identify multi‐temporal variation in vegetated and non‐vegetated areas in remotely sensed satellite images to assess the status of desertification in East Asia.

Spatial data derived from these satellite images are applied to evaluate vegetation dynamics on a regional level, to identify the areas most vulnerable to desertification.

Analytical results indicate that the desert areas in East Asia are primarily distributed over Southern Mongolia, Central and Western Inner Mongolia, and Western China (the Taklimakan Desert). These desert areas expanded from 2000 to 2002, shrunk in 2003, then expanded again from 2003 to 2005. The areas most at risk for desertification are principally distributed in Southeastern Mongolia, and Eastern Inner Mongolia.

Simulation results based on data for deserts distributed throughout Northwestern China and Mongolia indicate that the proposed fuzzy model‐based method would be helpful for assessing and monitoring desertification. These analytical results will help administrators refine planning processes, define the boundaries of protected areas, and facilitate decisions for prioritizing areas for desertification protection.

This study aims to expand the theory of planned behaviour (TPB) to understand determinants of financial inclusion participation behaviour through the mediating effect of Islamic finance product (IFP) adoption.

A quantitative research design was deployed using primary data from a survey conducted within the Muslim-dominated regions in Nigeria, which was analysed using partial least squares structural equation modelling.

It was found that the original TPB variables, attitude, subjective norms, perceived behavioural control (PBC) and behavioural intention have strong positive influences on financial inclusion participation behaviour, however, among the new variables, government support and IFPs adoption directly influence, while awareness and access to banking and digital channels were not. Furthermore, IFPs adoption significantly mediates the relationship between attitude, behavioural intention, government support and access to banking and digital channels and financial inclusion participation, but it failed to mediate that of subjective norms, PBC and awareness.

These findings imply the need to establish more Islamic financial institutions or conventional banks to introduce IFPs in Muslim-dominated regions in Nigeria, as such products are desirable in expanding financial inclusion. While such is being pursued, policymaking bodies responsible for financial inclusion should design appropriate programmes to create awareness of IFPs for expanding financial inclusion.

To the best of the authors’ knowledge, this study could be the first to expand the TPB by integrating IFP adoption as a mediator within the context of financial inclusion participation as well as the incorporation of awareness, government support and access to banking and digital channels as additional variables.

This chapter examines the impact of recent airline consolidations in the United States on the technical efficiencies of the airlines involved. Data envelopment analysis (DEA) is used to assess the efficiencies, and the consolidations examined are those that occurred among major network carriers between 2005 and 2013. The airline production process is conceptualized as the transformation of labor, fuel, and fleet-wide seating capacity into available seat-miles, or, under an alternative model specification, into user value, as measured by the airline’s operating revenue. Efficiency is conceptualized in terms of minimizing the airline’s usage of the three inputs, given its output level. The analysis seeks to determine whether the airlines that consolidated were more efficient, post-consolidation, than they were prior to consolidation, compared to airlines that did not enter into consolidations. Although there are limitations owing to the small number of airlines in the dataset, the chapter finds no evidence that the consolidations enhanced the efficiencies of the airlines involved, relative to the efficiencies of the airlines that did not enter into consolidations.

This paper aims to investigate analytical solutions of natural frequencies and mode shapes of Euler-Bernoulli beams with step changes in the stiffness.

In this work, analytical solutions for a beam with a single discontinuity was performed. Subsequently, based on an effective matrix formulation, the closed-form expressions of the single discontinuity beam could be conveniently extended to stepped beams with multiple stiffness discontinuities.

The results of the study show that the natural frequency of the beam can be adjusted by the local stiffness variation, and step location plays a significant role in free vibration responses.

The effects of the stiffness of the segment and step location on the natural frequencies of the stepped beams under different boundary conditions were examined using the proposed analytical scheme. This study provides insights into the design of variable-stiffness beam structures with the capability to adjust natural frequencies.

The purpose of this paper is to develop an easy-to-implement and accurate fast boundary element method (BEM) for solving large-scale elastodynamic problems in frequency and time domains.

A newly developed kernel-independent fast multipole method (KIFMM) is applied to accelerating the evaluation of displacements, strains and stresses in frequency domain elastodynamic BEM analysis, in which the far-field interactions are evaluated efficiently utilizing equivalent densities and check potentials. Although there are six boundary integrals with unique kernel functions, by using the elastic theory, the authors managed to accelerate these six boundary integrals by KIFMM with the same kind of equivalent densities and check potentials. The boundary integral equations are discretized by Nyström method with curved quadratic elements. The method is further used to conduct the time-domain analysis by using the frequency-domain approach.

Numerical results show that by the fast BEM, high accuracy can be achieved and the computational complexity is brought down to linear. The performance of the present method is further demonstrated by large-scale simulations with more than two millions of unknowns in the frequency domain and one million of unknowns in the time domain. Besides, the method is applied to the topological derivatives for solving elastodynamic inverse problems.

An efficient KIFMM is implemented in the acceleration of the elastodynamic BEM. Combining with the Nyström discretization based on quadratic elements and the frequency-domain approach, an accurate and highly efficient fast BEM is achieved for large-scale elastodynamic frequency domain analysis and time-domain analysis.

This paper focuses on differences in resource mobilization opportunities among environmental social movement organizations (ESMOs), with empirical focus on ESMOs from five European Union countries – two Northwest European countries (Sweden, Germany) and three post-communist countries (Poland, Croatia, and Slovenia). Whereas mass-membership mobilization is a reality in the Northwest European context, ESMOs from post-communist countries fundamentally rely on international support and project-based funding. The purpose of this paper is to demonstrate and discuss what implications this difference has for domestic capacity building among ESMOs.

The paper draws theoretically and empirically on literature on social movements, including environmental movements. It uses a qualitative methodology with figures, field observations, and interview data from ESMO representatives. The empirical material is based on field studies of ESMOs from the five focused countries.

The findings demonstrate strong pessimism regarding the possibilities for mass-membership mobilization in the post-communist context, and indicate a set of challenges related to the strong reliance on project funding and international sources. Issues such as short-termism, lack of independence, critical distance, and learning potential are discussed. The findings also indicate avenues for creativity and how various buffers can help to cope with challenges, and that ESMOs from the Northwest European context also face pressures relating to resource mobilization that can negatively affect their critical edge.

By the chosen focus and comparative approach, the paper contributes to our understanding if and how ESMOs can work as powerful and critical political actors in various contexts. The paper thus contributes theoretically and empirically to literature on social movements, and specifically environmental movements.