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Pseudo-panel productivity analysis of Finnish cereal farms

Show simple item record 2020-06-05T06:03:54Z 2020-06-05T06:03:54Z 2020-06-05
dc.title Pseudo-panel productivity analysis of Finnish cereal farms en
ethesis.discipline.URI none
ethesis.faculty Maatalous-metsätieteellinen tiedekunta fi
ethesis.faculty Faculty of Agriculture and Forestry en
ethesis.faculty Agrikultur- och forstvetenskapliga fakulteten sv
ethesis.faculty.URI Helsingin yliopisto fi University of Helsinki en Helsingfors universitet sv
dct.creator Jaatinen, Kaius
dct.issued 2020
dct.language.ISO639-2 eng
dct.abstract As the global population grows and the demand for agricultural commodities increases, empirical measurement of agricultural productivity becomes all the more important. Agricultural productivity is the relationship between yield and inputs and can in simple terms be decomposed into technical change, technical efficiency and scale-effect. Agricultural productivity and its development with time are often studied using price and quantity indices as well as non-parametric and parametric modelling. In this thesis, a mean-value based pseudo-panel created from FADN farm data was used to analyse the productivity development of Finnish cereal farms between 2000-2018. Several functional forms, assumptions of returns to scale and combinations of variables were used to create and test several parametric models. Technical change was observed both at aggregate level for all size classes and for size classes separately. Pooled, fixed effects (FE) and random effects (RE) models were tested with the pseudo-panel. Pooled models were weighted with the number of observations for each mean-value. Results showed little to no technical change in the various size classes. Returns to scale were increasing in all models. Land was a highly significant factor of productivity growth and was found to be notably more significant than the other inputs, labour, capital and materials. FE model were mostly preferred over pooled models and R2-values of all models were over 95% implying over-complexity of models, particularly in the case of the FE models. Very high VIF values were obtained for variables, implying strong multicollinearity between variables. While results regarding technical change are, at a very high level, in line with previous studies on Finnish cereal productivity, the combination of high VIF, fluctuating elasticities between models and limited degrees of freedom indicate that the pseudo-panel method might not provide valuable results in productivity analysis when FADN mean-based data is used. More data-points per year or farm-level data would be required to increase statistical validity of results. en
dct.subject Productivity analysis
dct.subject cereal production
dct.subject productivity decomposition
dct.subject technical change
dct.language en
ethesis.language English en
ethesis.language englanti fi
ethesis.language engelska sv
ethesis.supervisor Sumelius, John
ethesis.supervisor Sipiläinen, Timo
ethesis.supervisor Bäckman, Stefan
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype pro gradu-avhandlingar sv
dct.identifier.ethesis E-thesisID:a934ef12-82e5-4b94-960e-d1ade0118ea6
ethesis-internal.timestamp.reviewStep 2020-05-06 12:37:03:009
ethesis.principalprofessor Sumelius, John
dct.identifier.urn URN:NBN:fi:hulib-202006052566
dc.type.dcmitype Text
ethesis.facultystudyline Maatalous-, ympäristö- ja luonnonvaraekonomian opintosuunta fi
ethesis.facultystudyline Agricultural, Environmental and Resource Economics en
ethesis.facultystudyline Lantbruks-, miljö- och naturresursekonomi sv
ethesis.mastersdegreeprogram Maatalous-, ympäristö- ja luonnonvaraekonomian maisteriohjelma fi
ethesis.mastersdegreeprogram Master's Programme in Agricultural, Environmental and Rescource Economics en
ethesis.mastersdegreeprogram Magisterprogrammet i lantbruks-, miljö- och naturresursekonomi sv

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