区域经济系统出口潜力的模型与预测

IF 0.4 Q3 AREA STUDIES
Aleksey N. Gerasimov, E. Gromov, Yury S. Skripnichenko, O. Grigoryeva, Victoria Yu. Skripnichenko
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引用次数: 0

摘要

介绍区域农业市场的出口潜力引起了科学界和政府机构的极大兴趣。许多科学研究致力于寻找增加出口潜力的方法,以确保区域经济体系的可持续发展。本文提出并测试了原作者创建动态计量经济模型的算法,该模型用于预测区域层面上主要类型畜产品的生产、销售和出口量。本文的目的是基于建立的动态计量经济模型来评估区域农业市场主要产品的出口潜力。材料和方法。该研究基于一组结果和投入变量的经验数据,这些数据表征了2010-2020年期间该地区主要畜产品的生产、销售和出口。研究方法包括动态分析、计量经济学建模和预测。通过进行动态分析,可以评估该地区主要农产品生产、销售和出口的变化,评估当前的趋势。基于构建的计量经济模型,确定了影响结果变量的最重要因素,并对模型进行了规范和验证。对已确定的趋势进行外推的方法使评估中期结果变量的预测值成为可能。后果根据选定的输入变量,建立了该地区农业生产者牛奶、羊毛和鸡蛋的生产、销售和出口模型。从各种备选模型中,选择了具有最佳统计质量特征的模型。所获得的模型的高质量水平使其有可能用于预测2021-2026年期间的结果变量水平。通过对预测结果的比较,可以确定已经具有较高出口能力的畜产品类型。此外,还确定了出口能力较低的产品类型,这些产品具有很高的增长潜力。讨论和结论。作为使用计量经济建模方法的结果,获得了动态模型,从而有可能获得对一个具有高出口潜力的地区在不久的将来畜牧业发展的预测。本文的实际意义在于,通过改变模型中相应的一组因素变量,有可能影响该地区畜产品的生产、销售和出口。因此,由此产生的动态模型既可用于农业生产者规划经济活动,也可用于地区当局制定地区发展计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Models and Forecasts of the Export Potential of the Regional Economic System
Introduction. The export potential of the regional agricultural market causes great interest from both the scientific community and government agencies. Many scientific studies are devoted to the search for methods to increase the export potential in order to ensure the sustainable development of regional economic systems. The article proposes and tests the original author’s algorithm for creating a dynamic econometric model for forecasting the volumes of production, sales and exports of the main types of livestock products at the regional level. The purpose of the article is to assess the export potential of the main products of the regional agricultural market based on the built dynamic econometric models. Materials and Methods. The research is based on a set of empirical data of result and input variables characterizing the production, sales and export of the main livestock products in the region for the period 2010–2020. Research methods include dynamic analysis, econometric modeling and forecasting. The dynamic analysis carried out made it possible to assess the change in the production, sale and export of the main agricultural products in the region, to assess the current trends. Based on the constructed econometric models, the most significant factors influencing the resulting variables were identified, the specifications and verification of the models were carried out. The method of extrapolation of the identified trends made it possible to evaluate the predicted values of the resulting variables for the medium term. Results. Based on the selected input variables, models of production, sale and export of milk, wool and eggs by agricultural producers in the region were built. From a variety of alternative models, models with the best statistical quality characteristics were selected. The high level of quality of the obtained models made it possible to use them for predictive calculations of the levels of resulting variables for the period 2021–2026. Comparison of the results of the forecasts made it possible to identify the types of livestock products that already have a high level of exportability. In addition, types of products with a low level of exportability were identified, which have a high potential for increase. Discussion and Conclusion. As a result of using econometric modeling methods, dynamic models were obtained that made it possible to obtain a forecast for the development of livestock in a region with a high export potential in the near future. The practical significance of this article lies in the possibility of influencing the production, sale and export of livestock products in the region through a change in the corresponding set of factor variables of the models. Thus, the resulting dynamic models can be used both by agricultural producers for planning economic activities, and by regional authorities when drawing up regional development programs.
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