Data-driven microstructure sensitivity study of fibrous paper materials
In: Materials and design, Volume 197, p. 109193
ISSN: 1873-4197
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In: Materials and design, Volume 197, p. 109193
ISSN: 1873-4197
In: World development: the multi-disciplinary international journal devoted to the study and promotion of world development, Volume 126, p. 1-13
World Affairs Online
In: Scientific Reports 10, 7576 (2020). https://doi.org/10.1038/s41598-020-63734-w
SSRN
In: TILEC Discussion Paper Forthcoming DP 2020-015
SSRN
Working paper
In: Economic Analysis and Policy, Volume 63, p. 107-118
In: Asia-Pacific sustainable development journal: APSDJ, Volume 2018, Issue 2, p. 99-117
ISSN: 2617-8419
In: Australian Economic Review, Volume 52, Issue 3, p. 344-352
SSRN
In: Information Polity: the international journal of government & democracy in the information age, Volume 23, Issue 4, p. 379-397
ISSN: 1875-8754
In: The British journal of social work, Volume 49, Issue 3, p. 762-786
ISSN: 1468-263X
In: International Journal of Development Issues, Volume 17, Issue 3, p. 266-287
Purpose
Enhancing household consumption and reducing inequality are among the fundamental goals of many developing countries. The purpose of this study therefore is to disaggregate household consumption expenditure into food and non-food and, thus, decompose inequality into within- and between-groups.
Design/methodology/approach
The study adopts generalised entropy (GE) measures. Second, the study uses regression-based inequality decomposition to ascertain the determinants of inequality in food and non-food expenditure using household demographic and socioeconomic characteristics as covariates.
Findings
The results show that non-food expenditure is the major source of inequality in household consumption expenditure in both urban and rural areas with inequality coefficients of above 0.6 compared to about 0.4 for food expenditure. The decompositions also show that within-group inequalities for non-food and food expenditure are, respectively, 0.97 and 0.365 using the Theil index, while between-group inequalities for non-food and food are, respectively, 0.016 and 0.035. Furthermore, the regression-based inequality decompositions show that variables such as living in rural areas, household size, household dwelling and household dwelling characteristics account for the significant proportion of inequality in food and non-food expenditure.
Originality/value
The policy implication of the findings, among others, is that policies should focus on addressing inequality within rural and urban areas, especially with respect to non-food expenditure than in inequality existing between urban and rural areas. These non-food expenditures include expenditure in education, health, energy, accommodation, water and sanitation.
There are some parts of the military environment, such as battlefields or hostile areas. They may suffer from intermittent network connections. They have frequent partitions. Networking DTN networking technology is a truly simple solution. DTN network, tear-resistant; it allows wireless and military personnel to carry the interaction with each other. These devices reliably protect confidential information or use external storage node commands.
BASE
In: NBER Working Paper No. w24952
SSRN
In: Journal of Regional Science, Volume 58, Issue 1, p. 63-80
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In: Community ecology: CE ; interdisciplinary journal reporting progress in community and population studies, Volume 18, Issue 3, p. 260-279
ISSN: 1588-2756
In: Structural equation modeling: a multidisciplinary journal, Volume 25, Issue 2, p. 214-229
ISSN: 1532-8007