RA葡萄栽培发展动态的计量经济学案例研究

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2022-10-20 DOI:10.3233/sji-220948

H. Asatryan, V.S. Aleksanyan, L. Azatyan, Meri Manucharyan

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引用次数: 1

摘要

使用回归分析是量化各种因素对经济现象的影响的常用方法。本文介绍了亚美尼亚共和国葡萄栽培发展的动态。特别地，通过计量经济分析，挑出了“价格”因素对葡萄种植发展的影响。研究了其影响的性质，并建立了回归模型。此外，还参考了不同研究人员对葡萄栽培发展的研究。这项研究的相关性在于它是同类研究中的首例。目前还没有对影响亚美尼亚共和国葡萄种植发展的因素进行定量评估的研究。利用这一分析结果，我们可以根据价格因素的变化来评估未来葡萄栽培指标的动态。这可以成为决策者做出科学合理决策的基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Dynamics of the development of viticulture in RA: The econometric case study

The use of regression analysis is a common method for quantifying the impact of various factors on economic phenomena. This article presents the dynamics of the development of viticulture in Republic of Armenia. In particular, by applying econometric analysis, the impact of the “Prices” factor on viticulture development was singled out. The nature of its impact was studied and a regression model was constructed. In addition, references were made to the studies of various researchers relating to viticulture development. The relevance of the research lies in the fact that it is the first of its kind. There have been no studies, which will give a quantitative assessment of the factors that influence the development of viticulture of Republic of Armenia. By using results of this analysis, we can assess the dynamics of viticulture indicators in future depending on changes of price factor. This can be a basis for policy makers to make scientifically sound decisions.

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来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.