INNOVATIVE TECHNOLOGIES AND INVESTMENT EFFICIENCY IN COTTON-TEXTILE CLUSTERS: OPTIMIZING COSTS THROUGH INDUSTRY 4.0 SOLUTIONS.
Kalit so‘zlar:
Paxta yetishtirish, xarajatlarni optimallashtirish, regressiya tahlili, qishloq xo‘jaligi investitsiyalari, tomchilatib sug‘orish, klaster mablag‘lari, mavsumiy ish o‘rinlari, quyosh energiyasi, barqaror qishloq xo‘jaligi.Annotatsiya
Paxta yetishtirish jarayoni qishloq xo‘jaligining muhim tarmoqlaridan biri
bo‘lib, iqtisodiy samaradorlik va ekologik barqarorlikni ta’minlash uchun resurslardan samarali
foydalanish hamda xarajatlarni optimallashtirish talab etiladi. Ushbu tadqiqotda
O‘zbekistonning voha hududlarida joylashgan klasterlarning paxta yetishtirish xarajatlariga
ta’sir etuvchi omillar o‘rganildi. Regression model orqali jami yer maydoni, fermer xo‘jaliklari
soni, tomchilatib sug‘orish ulushi, hosildorlik, irrigatsiya va melioratsiya obyektlarining
mavjudligi, qishloq xo‘jaligi investitsiyalari, klaster mablag‘lari, bank kreditlari, mavsumiy ish
o‘rinlari va quyosh energiyasidan foydalanish kabi omillarning ta’siri baholandi. Tadqiqot
natijalari klasterlar faoliyatini takomillashtirish, agrotexnologiyalarni modernizatsiya qilish
hamda barqaror qishloq xo‘jaligini rivojlantirish bo‘yicha ilmiy va amaliy asos bo‘lib xizmat qiladi.
Manbalar
Cronbach L.J. Coefficient Alpha and the Internal Structure of Tests // Psychometrika. – 1951. – Vol. 16, No. 3. – P. 297–334.
Wooldridge J.M. Introductory Econometrics: A Modern Approach. – Cengage Learning, 2020.
Hayashi F. Econometrics. – Princeton: Princeton University Press, 2000.
Greene W.H. Econometric Analysis. – Pearson, 2018.
Ruan Y. Exploring Multiple Regression Models: Key Concepts and Applications // Science and Technology of Engineering, Chemistry and Environmental Protection. – 2024. – Vol. 1, No. 7. DOI: 10.61173/yjpt3s59.
Janković S. The Multivariate Statistical Analysis – Multiple Linear Regression // International Journal on Biomedicine and Healthcare. – 2022. – Vol. 10, No. 4. – P. 173–175. DOI: 10.5455/ijbh.2022.10.173-175.
Mignon V. The Multiple Regression Model // Classroom Companion Economics. – 2024. – P. 105–170. DOI: 10.1007/978-3-031-52535-3_3.
Breusch T.S., Pagan A.R. A Simple Test for Heteroscedasticity and Random Coefficient Variation // Econometrica. – 1979. – Vol. 47, No. 5. – P. 1287–1294.
Bera J., Jarque C. Efficient Tests for Normality, Homoscedasticity and Serial Independence of Regression Residuals // Economics Letters. – 1980. – Vol. 6, No. 3. – P. 255–259.
Gujarati D.N., Porter D.C. Basic Econometrics. – McGraw-Hill, 2009.
Kutner M.H., Nachtsheim C.J., Neter J. Applied Linear Statistical Models. – McGraw-Hill, 2005.
James G., Witten D., Hastie T., Tibshirani R. An Introduction to Statistical Learning: With Applications in R. – Springer, 2013.
Jiang J. Multiple Linear Regression // Applied Medical Statistics. – 2021. – P. 345–367. DOI: 10.1002/9781119716822.ch15.