Keywords
horticulture
panel data
fixed effects model
random effects model
How to Cite
Abstract
In this article, which is devoted to the assessment of factors influencing the volume of production of horticultural products, ensuring food security, export of agricultural products, the factors influencing the volume of horticultural products are systematized, based on panel data, econometric models (Pooled, Fixed effect, Random effect regression models) were created and evaluated on the factors affecting the volume of horticultural products produced by 32 farms. All econometric models were tested using the Hausman test and the most efficient one was selected
References
Структура ВВП по отраслям экономики за 2021 год. https://stat.uz/ru/press-tsentr/novosti-goskomstata/17347-2021-yilda-iqtisodiyot-tarmoqlari-bo-yicha-yaim-tarkibi
Китай подвинул Пакистан по потреблению узбекских овощей и фруктов. https://nuz.uz/ekonomika-i-finansy/1218658-kitaj-podvinul-pakistan-po-potrebleniyu-uzbekskih-ovoshhej-i-fruktov.html
C.Gary, J.W.Jones, M.Tchamitchian. Crop modelling in horticulture State of the art. https://www.researchgate.net/publication/222978076.
Challa, H., Bakker, J., 1998. Potential production within the greenhouse environment. In: Enoch, Z., Stanhill, G. Eds., Ecosystems of the World. The Greenhouse Ecosystem. Elsevier, Amsterdam, in press.
Teguh Oktiarso. Model Development for Decision Making in Vegetables Distribution in Kabupaten Malang. SPECTA Journal of Technology, Vol. 2, No. 1, March – April 2018 ISSN: 2549-2713.
Абдулкеримова Ш.Х. Математическое моделирование и оценка ключевых показателей сельского хозяйства методами классической экономики (на примере административных районов республики Дагестан) //Фундаментальные исследования. – 2018. – № 12-1. – С. 42-46; URL: https://fundamental-research.ru/ru/article/view?id=42349.
Baltagi B. Econometric analysis of Panel Data. 6th ed. Springer Nature Switzerland AG 2021.
Greene W.N. Econometric analysis. 7th ed. - N.Y.: Prentice Hall, 2012.
Wooldridge Jeffrey M. Econometric Analysis of Cross Section and Panel Data. The MIT Press (2010).
Edward W. Frees. Longitudinal and Panel Data: Analysis and Applications for the Social Sciences. Cambridge University Press (2004).
Ратникова Т.А., Фурманов К.К. Анализ панельных данных и данных о длительности состояний. – М.: Изд. дом Высшей школы экономики, 2014. – c. 373.
Марно Вербик. Модели, основанных на панельных данных // Журнал “Прикладная эконометрика”. 2006. – № 1. – c. 94-135.
Badi H. Baltagi, Chihwa Kao and Bin Peng. Testing Cross-Sectional Correlation in Large Panel Data Models with Serial Correlation. https://www.mdpi.com/2225-1146/4/4/44.
Suminori Tokunaga, Mitsuru Okiyama and Maria Ikegawa. Dynamic Panel Data Analysis of the Impacts of Climate Change on Agricultural Production in Japan. JARQ 49 (2), 149-157 (2015) https://www.jircas.go.jp/sites/default/files/ publication/jarq/49-02-10_149-157_tokunaga_0.pdf
Geemon Korah, Dr. S Mohankumar. Black Pepper Price and its Determinants: A Panel Data Analysis using different Estimators. // Journal of Contemporary Issues in Business and Government Vol. 27, No. 3, 2021 https://cibg.org.au/
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