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Mazkur tadqiqot ishida mintaqani barqaror ijtimoiy–iqtisodiy rivojlantirishga ta’sir etuvchi omillarni aholi jon boshiga toʻgʻri keladigan YaHM hajmiga uzoq va qisqa muddatli ta’sirini baholovchi avtoregressiv lagli taqsimot modellari (ARDL) ishlab chiqilgan. Ishlab chiqilgan modellar asosida omillarning ustuvorlik darajalari aniqlangan.

  • Read count 6
  • Date of publication 31-05-2024
  • Main LanguageO'zbek
  • Pages184-191
Ўзбек

Mazkur tadqiqot ishida mintaqani barqaror ijtimoiy–iqtisodiy rivojlantirishga ta’sir etuvchi omillarni aholi jon boshiga toʻgʻri keladigan YaHM hajmiga uzoq va qisqa muddatli ta’sirini baholovchi avtoregressiv lagli taqsimot modellari (ARDL) ishlab chiqilgan. Ishlab chiqilgan modellar asosida omillarning ustuvorlik darajalari aniqlangan.

Русский

В данной исследовательской работе разработаны авторегрессионные модели распределения лагов (ARDL), которые оценивают долгосрочное и краткосрочное влияние факторов, влияющих на устойчивое социально-экономическое развитие региона, на объем ВРП на душу населения. На основе разработанных моделей определены уровни приоритетности факторов

English

In this research work, autoregressive distribution lag (ARDL) models have been developed that assess the long-term and short-term influence of factors influencing the sustainable socio-economic development of the region on the volume of GRP per capita. Based on the developed models, the priority levels of factors were determined.

№ Author name position Name of organisation
1 Rajabov A.X. PhD Ma’mun Universiteti
№ Name of reference
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2 Busu, M. (2020). "Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model" Mathematics 8, no. 8: 1367. https://doi.org/10.3390/math8081367
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7 Ljung, G. M., Box, G.P.E. (1978). On a Measure of Lack of Fit in Time Series Models. J Biometrika, vol. 65, pp. 297–303. https://doi.org/10.1093/biomet/65.2.297
8 Mirziyoyev, Sh.M. (2021). Yangi Oʻzbekiston strategiyasi. Toshkent: “Oʻzbekiston”, 131-170 b.
9 Neusser, K. (2016). Estimation of the Mean and the Autocorrelation Function. In: Time Series Econometrics. Springer Texts in Business and Economics. Springer, Cham. pp. 67-85. https://doi.org/10.1007/978-3-319-32862-1_4
10 Verbeek, M. (2017). A Guide to Modern Econometrics, 5th Edition. Hoboken, NJ: John Wiley & Sons, Inc., pp. 356-358.
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