The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine

Jeantyl Norze; Viacheslav Leonidovich Sereda; Michael Fletcher Burnett

doi:doi:10.11648/j.ijaas.20190504.14

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The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine

Jeantyl Norze, Viacheslav Leonidovich Sereda, Michael Fletcher Burnett

Published in International Journal of Applied Agricultural Sciences (Volume 5, Issue 4)

Received: 21 May 2019 Accepted: 19 August 2019 Published: 4 September 2019

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Abstract

The primary purpose of this study was to determine the influence of selected demographic characteristics and animal production measures on the income of private farmers in the Ukraine. A proportional random sample was drawn from the three Oblasts selected for inclusion in the study based on the total number of private farmers in the accessible population. This sample included 250 farmers from each of the two larger Oblasts and 150 from the smaller Oblast. These farmers were selected for personal interviews by raion specialists. A survey was designed to collect necessary information. Raion specialists received a one-day training session to learn personal interview techniques. Most of the farmers, (83.4%) had a degree of technical college or above, and the average age of farmers was 45.8. Swine was the animal commodity that was included on the largest number of private farms (33.5%), and milk cows accounted for the largest portion of the farmers’ annual income (4089.94 Hryvnia - ₴). Three factors contributed significantly to a model explaining the total income of private farmers in the Ukraine. These factors included Milk Cow production, Swine production, and Educational level of the farmer. Further research is needed to examine the animal production on a broader scale particularly in the other regions of the country and with emphasis on the economies of size in the different animal commodities. Given the importance of the educational level in total income of farmers, programs should be designed to enable farmers to pursue higher levels of education.

Published in	International Journal of Applied Agricultural Sciences (Volume 5, Issue 4)
DOI	10.11648/j.ijaas.20190504.14
Page(s)	98-104
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Farming, Livestock Production, Ukraine, Farming Income, Privatization

References

[1]	United Nations. (1996). Land Administration Guidelines with Special Reference to countries in Transition. Retrieved from http://www.unece.org/fileadmin/DAM/hlm/documents/Publications/land.administration.guidelines.e.pdf.
[2]	Bondar, A., & Lilje, B. (2002). Land Privatization in Ukraine. Retrieved from https://www.fig.net/pub/fig_2002/Ts7-6/TS7_6_bondar_lilje.pdf.
[3]	Sarna, A. (2014). The transformation of agriculture in Ukraine: From collective farms to agroholdings. Centre for Eastern Studies, 127.
[4]	Swanson, R. A., & Holton, E. F. (2001). Foundations of Human Resource Development. San Francisco: Berrett-Koehler, Inc.
[5]	Rousseau, D. M. (1996). Changing the Deal while Keeping the People. Academy of Management Executive.
[6]	Pettigrew, A. M. (1990). Longitudinal field research on change: theory and practice. Organization science. Vol. 1, No. 3.
[7]	Pettigrew, A. M., Hendry, C., and Sparrow, P. R. (1989). Training in Britain: Employers' Perspectives on Human Resources, London: Her Majesties Stationery Office.
[8]	Rogers, E. M. (2003). Diffusion of Innovation (5th ed.). New York: A Division of Simon & Schuster, Inc.
[9]	Jacobs, R. L. (2002). Institutionalizing organizational change through cascade training. Journal of European Industrial Training. Vol. 26, No. 2/3/4, pp. 177-182. https://doi.org/10.1108/03090590210422058.
[10]	Kotter, J. (2012). The 8-Step Process for Leading Change. Retrieved from Kotter International: C:\U http://www.kotterinternational.com/the-8-step-process-for-leading-change.
[11]	Eurostat (2017). Farmers in the EU – statistics. Retrieved from https://ec.europa.eu/eurostat/statistics-explained/index.php/Farmers_in_the_EU_-_statistics.
[12]	USDA – NASS, Census of Agriculture (2012). Farm Demographics - U.S. Farmers by Gender, Age, Race, Ethnicity, and More. Retrieved from https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Highlights/Farm_Demographics/.
[13]	USDA's Economic Research Service (2015). Educational attainment increasing in rural America, Retrieved from https://www.farmprogress.com/education/usda-ers-educational-attainment-increasing-rural-america?ag_brand=farmfutures.com.
[14]	EU Agricultural Economic Briefs (June, 2012). Women in EU Agriculture And Rural Areas: Hard Work, Low Profile. Retrieved from https://ec.europa.eu/agriculture/sites/agriculture/files/rural-area-economics/briefs/pdf/07_en.pdf.
[15]	World Data Center (2015). For geoinformatics and sustainable development. Retrieved from http://wdc.org.ua/en/node/29.
[16]	Battel, A. (2017). Can Ukraine regain its reputation as the breadbasket? Improving dairy cattle efficiency on former collective farms in Ukraine. Retrieved from https://www.canr.msu.edu/news/can-ukraine-regain-its-reputation-as-the-breadbasket-improving-dairy-cattle-efficiency-on-former-collective-farms-in-ukraine.
[17]	Wordofa, M. G. & Sassi, M. (2017). Impact of Farmers’ Training Centres on Household Income: Evidence from Propensity Score Matching in Eastern Ethiopia. Social Sciences. Vol. 7, No. 4.
[18]	FAO. (2019). Animal Production and Health. Retrieved from http://www.fao.org/ag/againfo/themes/en/animal_production.html.

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Jeantyl Norze, Viacheslav Leonidovich Sereda, Michael Fletcher Burnett. (2019). The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. International Journal of Applied Agricultural Sciences, 5(4), 98-104. https://doi.org/10.11648/j.ijaas.20190504.14

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ACS Style

Jeantyl Norze; Viacheslav Leonidovich Sereda; Michael Fletcher Burnett. The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. Int. J. Appl. Agric. Sci. 2019, 5(4), 98-104. doi: 10.11648/j.ijaas.20190504.14

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AMA Style

Jeantyl Norze, Viacheslav Leonidovich Sereda, Michael Fletcher Burnett. The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. Int J Appl Agric Sci. 2019;5(4):98-104. doi: 10.11648/j.ijaas.20190504.14

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@article{10.11648/j.ijaas.20190504.14,
  author = {Jeantyl Norze and Viacheslav Leonidovich Sereda and Michael Fletcher Burnett},
  title = {The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine},
  journal = {International Journal of Applied Agricultural Sciences},
  volume = {5},
  number = {4},
  pages = {98-104},
  doi = {10.11648/j.ijaas.20190504.14},
  url = {https://doi.org/10.11648/j.ijaas.20190504.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20190504.14},
  abstract = {The primary purpose of this study was to determine the influence of selected demographic characteristics and animal production measures on the income of private farmers in the Ukraine. A proportional random sample was drawn from the three Oblasts selected for inclusion in the study based on the total number of private farmers in the accessible population. This sample included 250 farmers from each of the two larger Oblasts and 150 from the smaller Oblast. These farmers were selected for personal interviews by raion specialists. A survey was designed to collect necessary information. Raion specialists received a one-day training session to learn personal interview techniques. Most of the farmers, (83.4%) had a degree of technical college or above, and the average age of farmers was 45.8. Swine was the animal commodity that was included on the largest number of private farms (33.5%), and milk cows accounted for the largest portion of the farmers’ annual income (4089.94 Hryvnia - ₴). Three factors contributed significantly to a model explaining the total income of private farmers in the Ukraine. These factors included Milk Cow production, Swine production, and Educational level of the farmer. Further research is needed to examine the animal production on a broader scale particularly in the other regions of the country and with emphasis on the economies of size in the different animal commodities. Given the importance of the educational level in total income of farmers, programs should be designed to enable farmers to pursue higher levels of education.},
 year = {2019}
}

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TY  - JOUR
T1  - The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine
AU  - Jeantyl Norze
AU  - Viacheslav Leonidovich Sereda
AU  - Michael Fletcher Burnett
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PY  - 2019
N1  - https://doi.org/10.11648/j.ijaas.20190504.14
DO  - 10.11648/j.ijaas.20190504.14
T2  - International Journal of Applied Agricultural Sciences
JF  - International Journal of Applied Agricultural Sciences
JO  - International Journal of Applied Agricultural Sciences
SP  - 98
EP  - 104
PB  - Science Publishing Group
SN  - 2469-7885
UR  - https://doi.org/10.11648/j.ijaas.20190504.14
AB  - The primary purpose of this study was to determine the influence of selected demographic characteristics and animal production measures on the income of private farmers in the Ukraine. A proportional random sample was drawn from the three Oblasts selected for inclusion in the study based on the total number of private farmers in the accessible population. This sample included 250 farmers from each of the two larger Oblasts and 150 from the smaller Oblast. These farmers were selected for personal interviews by raion specialists. A survey was designed to collect necessary information. Raion specialists received a one-day training session to learn personal interview techniques. Most of the farmers, (83.4%) had a degree of technical college or above, and the average age of farmers was 45.8. Swine was the animal commodity that was included on the largest number of private farms (33.5%), and milk cows accounted for the largest portion of the farmers’ annual income (4089.94 Hryvnia - ₴). Three factors contributed significantly to a model explaining the total income of private farmers in the Ukraine. These factors included Milk Cow production, Swine production, and Educational level of the farmer. Further research is needed to examine the animal production on a broader scale particularly in the other regions of the country and with emphasis on the economies of size in the different animal commodities. Given the importance of the educational level in total income of farmers, programs should be designed to enable farmers to pursue higher levels of education.
VL  - 5
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Author Information

Jeantyl Norze

Department of Agricultural and Extension Education and Evaluation, Louisiana State University, Baton Rouge, United States
Viacheslav Leonidovich Sereda

Louisiana Board of Ethics, Baton Rouge, United States
Michael Fletcher Burnett

Department of Agricultural and Extension Education and Evaluation, Louisiana State University, Baton Rouge, United States

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APA Style

Jeantyl Norze, Viacheslav Leonidovich Sereda, Michael Fletcher Burnett. (2019). The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. International Journal of Applied Agricultural Sciences, 5(4), 98-104. https://doi.org/10.11648/j.ijaas.20190504.14

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ACS Style

Jeantyl Norze; Viacheslav Leonidovich Sereda; Michael Fletcher Burnett. The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. Int. J. Appl. Agric. Sci. 2019, 5(4), 98-104. doi: 10.11648/j.ijaas.20190504.14

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AMA Style

Jeantyl Norze, Viacheslav Leonidovich Sereda, Michael Fletcher Burnett. The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine. Int J Appl Agric Sci. 2019;5(4):98-104. doi: 10.11648/j.ijaas.20190504.14

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@article{10.11648/j.ijaas.20190504.14,
  author = {Jeantyl Norze and Viacheslav Leonidovich Sereda and Michael Fletcher Burnett},
  title = {The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine},
  journal = {International Journal of Applied Agricultural Sciences},
  volume = {5},
  number = {4},
  pages = {98-104},
  doi = {10.11648/j.ijaas.20190504.14},
  url = {https://doi.org/10.11648/j.ijaas.20190504.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijaas.20190504.14},
  abstract = {The primary purpose of this study was to determine the influence of selected demographic characteristics and animal production measures on the income of private farmers in the Ukraine. A proportional random sample was drawn from the three Oblasts selected for inclusion in the study based on the total number of private farmers in the accessible population. This sample included 250 farmers from each of the two larger Oblasts and 150 from the smaller Oblast. These farmers were selected for personal interviews by raion specialists. A survey was designed to collect necessary information. Raion specialists received a one-day training session to learn personal interview techniques. Most of the farmers, (83.4%) had a degree of technical college or above, and the average age of farmers was 45.8. Swine was the animal commodity that was included on the largest number of private farms (33.5%), and milk cows accounted for the largest portion of the farmers’ annual income (4089.94 Hryvnia - ₴). Three factors contributed significantly to a model explaining the total income of private farmers in the Ukraine. These factors included Milk Cow production, Swine production, and Educational level of the farmer. Further research is needed to examine the animal production on a broader scale particularly in the other regions of the country and with emphasis on the economies of size in the different animal commodities. Given the importance of the educational level in total income of farmers, programs should be designed to enable farmers to pursue higher levels of education.},
 year = {2019}
}

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TY  - JOUR
T1  - The Influence of Selected Personal and Professional Demographic Characteristics on the Income Level of Private Farmers in the Ukraine
AU  - Jeantyl Norze
AU  - Viacheslav Leonidovich Sereda
AU  - Michael Fletcher Burnett
Y1  - 2019/09/04
PY  - 2019
N1  - https://doi.org/10.11648/j.ijaas.20190504.14
DO  - 10.11648/j.ijaas.20190504.14
T2  - International Journal of Applied Agricultural Sciences
JF  - International Journal of Applied Agricultural Sciences
JO  - International Journal of Applied Agricultural Sciences
SP  - 98
EP  - 104
PB  - Science Publishing Group
SN  - 2469-7885
UR  - https://doi.org/10.11648/j.ijaas.20190504.14
AB  - The primary purpose of this study was to determine the influence of selected demographic characteristics and animal production measures on the income of private farmers in the Ukraine. A proportional random sample was drawn from the three Oblasts selected for inclusion in the study based on the total number of private farmers in the accessible population. This sample included 250 farmers from each of the two larger Oblasts and 150 from the smaller Oblast. These farmers were selected for personal interviews by raion specialists. A survey was designed to collect necessary information. Raion specialists received a one-day training session to learn personal interview techniques. Most of the farmers, (83.4%) had a degree of technical college or above, and the average age of farmers was 45.8. Swine was the animal commodity that was included on the largest number of private farms (33.5%), and milk cows accounted for the largest portion of the farmers’ annual income (4089.94 Hryvnia - ₴). Three factors contributed significantly to a model explaining the total income of private farmers in the Ukraine. These factors included Milk Cow production, Swine production, and Educational level of the farmer. Further research is needed to examine the animal production on a broader scale particularly in the other regions of the country and with emphasis on the economies of size in the different animal commodities. Given the importance of the educational level in total income of farmers, programs should be designed to enable farmers to pursue higher levels of education.
VL  - 5
IS  - 4
ER  -

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