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Thesis (M.S.)—University of Nebraska—Lincoln, 1964. Department of Agricultural Economics.


Copyright 1964, the author. Used by permission.


Users of statistics in Turkey have recognized the importance and urgency of having reliable, timely, and detailed agricultural statistics. Agricultural statistics have been developed over the past 15 years, but this development can only partially meet the need of the country.

It is the thesis of this study to present statistical improvement possibilities, to introduce new methods either replacing or supplementing existing methods and suggest possible future developments. It is not proposed to present an ideal improvement program with the available resources and facilities. An attempt will be made to recommend practical statistical information for improvement programs in Turkish agriculture which are consistent with critical issues on the demand side for agricultural data and on the supply side in meeting these demands.

The first step will be the delineation of the Turkish general economy’s structure, and its magnitudes and functions. Then a brief analysis will be made of the nature and the state of Turkish agriculture within the framework of currently available statistical information. This general descriptive information will provide indications of the problems of Turkish agriculture. After identification of agricultural problems, current Turkish agricultural plans and programs will be discussed in conjunction with the adequacy of currently available agricultural statistical information to support them. This will enable us to determine the demand for agricultural data as well as the elements of this demand.

The second step will be an appraisal of the coverage and methods used in the production of agricultural statistics. The historical development, and current organization, operational, and administrative structure will be outlined, with critical comments on the present methods used in the performance of this work.

Finally, we propose to suggest possible improvements in agricultural statistics work. New methods might be introduced in the collecting and processing of agricultural data. Refinements in established methods, change in organization and the possibilities of making new resources available will be recommended to obtain more detailed, reliable, and timely data as efficiently as possible.

Advisor: James B. Hassler