| dc.contributor.advisor | Yu, Xiaohua Prof. Dr. | |
| dc.contributor.author | Steffen David, Christoph | |
| dc.date.accessioned | 2018-06-26T08:09:38Z | |
| dc.date.available | 2018-06-26T08:09:38Z | |
| dc.date.issued | 2018-06-26 | |
| dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-002E-E42E-0 | |
| dc.identifier.uri | http://dx.doi.org/10.53846/goediss-6944 | |
| dc.language.iso | eng | de |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject.ddc | 630 | de |
| dc.title | Essays on Transaction Costs and Food Diversity in Developing Countries | de |
| dc.type | doctoralThesis | de |
| dc.contributor.referee | Brümmer, Bernhard Prof. Dr. | |
| dc.date.examination | 2017-06-28 | |
| dc.description.abstracteng | This thesis addresses 3 different aspects of food and poverty related problems in developing countries.
The first essay presents a new operational concept of transaction costs that firstly allows
assessing the magnitude and secondly recognizing the non homogeneity of food products. This is
realized by providing an estimate of the value of the good by means of a hedonic food price model. A
model is proposed that decomposes unit values into spatial price factors and a value component that
allows the comparison with a feasible value occurring in a situation without transaction costs. The
model is estimated with a conditional mean stochastic frontier approach using data from Kenyan
maize farmers. We find a magnitude of 12-18% for maize transactions in rural Kenya and identify
drive time, market distance, education and counterparts in negotiations as main determinants.
The second essay is concerned with the latent demand structure for food diversity in India using
data from 68th round of the CES Consumer Survey. We assume that consumers facing subsistence
concerns favor calories over food diversity and once passing the subsistence threshold substitute
away from staples towards a more varied diet. Latent classes and consumption patterns are identified by means of nite mixture models. Therefore we examine the link between food diversity
indices and socioeconomic indicators and explain component memberships in order to characterize
latent classes and evaluate nutritional implications. Two clearly distinct demand patterns for diversity
can be identified, consistent with our assumptions. The identified classes differ substantially
in terms of income, household composition and nutritional adequacy ratios
The third essay is concerned with the inference on nutrition from observed consumption. Measures
of diversity have become popular tools to infer on nutritional adequacy from observed consumption.
However the most common measures do not consider that equal distribution of food consumption
does not re
ect an optimal diet. The proposed index in this essay adjusts the existing concept of
the healthy diversity index so that it is applicable for Indian dietary analysis and extends it for the
analysis of household data. The results show that the modified HFD index is a superior predictor
of nutritional adequacy compared to common measures like the Berry, Entropy or count index. | de |
| dc.contributor.coReferee | Cramon-Taubadel, Stephan von Prof. Dr. | |
| dc.subject.eng | transaction costs | de |
| dc.subject.eng | stochastic frontier | de |
| dc.subject.eng | Kenya | de |
| dc.subject.eng | food prices | de |
| dc.subject.eng | food diversity | de |
| dc.subject.eng | finite mixture model | de |
| dc.subject.eng | consumer demand | de |
| dc.subject.eng | India | de |
| dc.subject.eng | nutrition | de |
| dc.identifier.urn | urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E42E-0-9 | |
| dc.affiliation.institute | Fakultät für Agrarwissenschaften | de |
| dc.subject.gokfull | Land- und Forstwirtschaft (PPN621302791) | de |
| dc.identifier.ppn | 1025240405 | |