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DETERMINANTS OF FOOD INSUFFICIENCY COPING STRATEGIES IN SUB-SAHARAN AFRICA: A CASE OF MALAWI

100%
Kamba Y.
International Journal of New Economics and Social Sciences
|
2019
|
vol. 9(1)
263-271
EN
This paper examined the determinants of household food insufficiency coping strate-gies based on secondary data collected from 12,480 randomly selected households in Malawi. In response to food insufficiency, households employed the following coping strategies: relying on less preferred food options, reducing the proportion of meals, reducing the number of meals per day, restricting adult consumption for small children to eat, and borrowing food from family or friends. To assess the determinants of food insufficiency coping strategies, a multivariate probit model was employed. Education level, household size, livestock ownership and place of residence were some of the important factors that affected the choice of the coping strategies. The paper recom-mends policies that aim at strengthening the education system of the rural communities to equip them with skills they can use diversify their livelihood sources.
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Why do users choose Open Source software? Analysis of the network effect

86%
Celińska D.
Informatyka Ekonomiczna
|
2016
|
issue 1(39)
9-22
EN
This article analyses the phenomenon of using the Open Source software. The aim is to investigate and verify the existence of a positive direct network effect that characterizes usage of the Open Source software. The multivariate probit model is applied to extract factors motivating end users to the usage of the Open Source software. Special attention is paid to the demographic characteristics of the end users, as well as to the impact of the end users’ peers, such as family, work and school, on using the Open Source software. The results confirm the research assumptions. It is found that the actual choice of various Open Source software groups is correlated and thus cannot be analyzed separately. This supports the hypothesis about the existence of the network effect derived from the complementary services and dependencies among applications. The obtained results are representative for the Polish population aged 13-54.
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