Regional inequalities of the agricultural economy in Latvia (1935−1939) | Land Portal

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Date of publication: 
December 2013
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The aim of this research is to evaluate the spatial differences of the agricultural economy of Latvia during the First Republic by using spatial autocorrelation calculations. Morans’s I coefficient of spatial autocorrelation is used to describe the spatial relations of the analyzed indicators. The obtained results show that Moran’s I for more than half of the obtained parameters is greater than 0.5, which indicates a rather high spatial autocorrelation. It was observed that variations of the spatial autocorrelation values can be explained by what affects these parameters. Spatial autocorrelation is significantly higher for those parameters whose value depends mainly on the variety of natural factors (land use, specific crop share). Moran’s I value for those parameters whose values depend on the actions by the local government in rural parishes is considerably lower (for example, budget allocation, etc.) A large portion of the examined parameters characterizing the level of parish economic development show the biggest differences when comparing Latgale with the rest of Latvia. In the case of such regional differences, Moran’s I is usually within 0.5–0.7, indicating moderately close spatial autocorrelation. For many indicators regarding agriculture and land use many southern parishes within Jelgavas and Bauskas county show a very considerable difference from the rest of Latvia showing much higher rate of agricultural production.

Authors and Publishers

Author(s), editor(s), contributor(s): 
Paiders, J., University of Latvia, Riga (Latvia) Paiders, Ju., University of Latvia, Riga (Latvia)

The Latvia University of Agriculture (LLU) Strategic Development Plan 2010-2016, was developed during 2009 and approved by the LLU Senate on June 10, 2009.

In order to perform its functions and implement its goals and objectives, the Latvia University of Agriculture has developed three activity programs:

1. Studies 
2. Science
3. Administrative and financial support for studies and research work

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