dc.contributor.advisor | Brümmer, Bernhard Prof. Dr. | |
dc.contributor.author | Holtkamp, Jonathan | |
dc.date.accessioned | 2015-03-04T10:16:30Z | |
dc.date.available | 2015-03-04T10:16:30Z | |
dc.date.issued | 2015-03-04 | |
dc.identifier.uri | http://hdl.handle.net/11858/00-1735-0000-0022-5DE0-E | |
dc.identifier.uri | http://dx.doi.org/10.53846/goediss-4962 | |
dc.language.iso | eng | de |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/ | |
dc.subject.ddc | 630 | de |
dc.title | Unobserved heterogeneity in productivity analysis of panel data: applications to meat chain firms and global growth in agriculture | de |
dc.type | doctoralThesis | de |
dc.contributor.referee | Brümmer, Bernhard Prof. Dr. | |
dc.date.examination | 2015-02-12 | |
dc.description.abstracteng | Production analysis matters in agricultural economics because technology shapes
developments in agriculture as well as in related sectors, such as the food industry. Pro-
ductivity and technical efficiency (TE) are key aspects in this context. In empirical
analysis, inefficiency can be confounded with unmeasured attributes. As panel data
are used to analyse productivity trends, it is possible to account for unobserved hetero-
geneity. However, in the context of efficiency analysis, estimation of the corresponding
stochastic frontier (SF) model is a challenge. Several econometric methods have been
proposed.
This thesis comprises applications that are of interest in agricultural economics and
applies a novel fixed effects SF approach. This estimation technique allows to distinguish
between inefficiency and unobserved heterogeneity. The applications address agricultural
production at the firm-level as well as at the country-level. As meat production is a major
activity in the European food chain, data on slaughtering and meat processing firms as
well as on livestock farms are used. On a global scale, agriculture is supposed to meet
a variety of challenges where technological development is one important component in
improving agricultural performance. The ultimate objective is to identify trends in total
factor productivity (TFP), and thereby, to better understand the developments in these
sectors. Differentiation between technical inefficiency and unobserved heterogeneity is
supposed to result in more reliable predictions of potential improvements.
Progress of the European meat industry proves to be divergent when different sub-
sectors are considered. The basic productivity of a firm is derived from the estimated
effects. In case of meat processing firms, a higher basic productivity seems to be an
advantage with respect to productivity growth.
Productivity spillovers may exist within the European meat chain. The analysis
relates TFP growth of livestock farms to TFP growth of meat firms. The sources of pro-
ductivity change are of different relevance between the two sectors. Results for regional
spillover effects are ambiguous.
The last application provides an update of productivity analysis using FAO data
on global agricultural production. Earlier studies typically neglect the panel structure
of the data. Results show that actual TE scores are higher and less dispersed when
accounting for unobserved heterogeneity. Consideration of the input variable feed leads
to lower rates of productivity change. | de |
dc.contributor.coReferee | Wollni, Meike Prof. Dr. | |
dc.subject.eng | production analysis | de |
dc.subject.eng | total factor productivity | de |
dc.subject.eng | stochastic frontier analysis | de |
dc.subject.eng | technical efficiency | de |
dc.subject.eng | unobserved heterogeneity | de |
dc.subject.eng | aggregation | de |
dc.subject.eng | agriculture | de |
dc.subject.eng | livestock production | de |
dc.subject.eng | European meat industry | de |
dc.subject.eng | meat supply chain | de |
dc.identifier.urn | urn:nbn:de:gbv:7-11858/00-1735-0000-0022-5DE0-E-8 | |
dc.affiliation.institute | Fakultät für Agrarwissenschaften | de |
dc.subject.gokfull | Land- und Forstwirtschaft (PPN621302791) | de |
dc.identifier.ppn | 819533114 | |