Olmazor tumanining ijtimoiy-iqtisodiy rivojlanish ko‘rsatkichlari va boshqaruv tizimini tahlil qilish
DOI:
https://doi.org/10.5281/zenodo.17080312Keywords:
ijtimoiy-iqtisodiy tengsizlik, daromadlar tengsizligi, shahar boshqaruvi, bandlik holati, ta’lim darajasi, sog‘liqni saqlashga kirish, barqaror rivojlanish strategiyalariAbstract
Ushbu maqola Olmazor tumanining ijtimoiy-iqtisodiy rivojlanish ko‘rsatkichlari va boshqaruv tizimini tahlil
qilib, rivojlanishdagi hududiy farqlarga hissa qo‘shuvchi asosiy omillarni tushunishga qaratilgan. Tadqiqot daromad
darajasi, bandlik darajasi, ta'lim va sog‘liqni saqlashga kirish imkoniyati kabi ijtimoiy-iqtisodiy o‘zgaruvchilar o‘rtasidagi
o‘zaro bog‘liqlikni va ularning tumanning umumiy rivojlanishiga ta'sirini baholashga qaratilgan. Tadqiqot kesma ma'lumotlar
to‘plamidan foydalanib, tumandagi turli ijtimoiy-iqtisodiy guruhlar o‘rtasidagi statistik jihatdan sezilarli farqlarni aniqlash
uchun dispersiya tahlili (ANOVA) metodini qo‘llaydi. Tahlil turli jamoalarda iqtisodiy o‘sish, ijtimoiy xizmatlarga kirish va
infratuzilma rivojlanishida sezilarli farqlarni aniqlaydi. Natijalar shuni ko‘rsatadiki, daromad tengsizligi va resurslarning
notekis taqsimlanishi Olmazor tumanidagi barqaror rivojlanishga ta'sir qiluvchi muhim muammolardir. Bundan tashqari,
natijalar ushbu tafovutlarni bartaraf etishda samarali boshqaruv tizimlari va davlat boshqaruvi tuzilmalarining muhim
rolini ta'kidlaydi. Tadqiqot maqsadli siyosiy aralashuvlar va yaxshilangan boshqaruv doiralari barcha aholi turmush
tarzini yaxshilash va inklyuziv o‘sishga ko‘maklashish uchun zarurligini xulosa qiladi. Ushbu tahlildan olingan xulosalar
siyosatchilarga ijtimoiy-iqtisodiy tengsizlikni bartaraf etishga va muvozanatli hududiy rivojlanishga ko‘maklashuvchi
strategiyalarni ishlab chiqish uchun asos yaratadi. Ushbu tadqiqot hududiy rivojlanish dinamikasi va barqaror ijtimoiyiqtisodiy
o‘sishga erishish uchun samarali boshqaruv tizimlarining ahamiyati to‘g‘risida kengroq tushuncha beradi
References
Chow, J. C., & Ekholm, E. (2018). Do published studies yield larger effect sizes than unpublished studies in education
and special education? Educational Psychology Review, 30(3), 727–744. https://doi.org/10.1007/s10648-018-9437-7
Çiftçi, Ş. K., & Cin, F. M. (2017). The effect of socioeconomic status on students’ achievement. In E. Karadağ (Ed.),
The factors affecting student achievement (pp. 171–181). Springer. https://doi.org/10.1007/978-3-319-56083-0_10
Cohen, N. J., Farnia, F., & Im-Bolter, N. (2013). Higher order language competence and adolescent mental health. The
Journal of Child Psychology and Psychiatry, 54(7), 733–744. https://doi.org/10.1111/jcpp.12060
Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human
development. Annual Review of Psychology, 58, 175–199. https://doi.org/10.1146/annurev.psych.58.110405.085551
Crede, J., Wirthwein, L., McElvany, N., & Steinmayr, R. (2015). Adolescents’ academic achievement and life satisfaction:
The role of parents’ education. Frontiers in Psychology, 6, Article 52. https://doi.org/10.3389/fpsyg.2015.00052
Duncan, G. J., Kalil, A., & Ziol-Guest, K. M. (2017). Increasing inequality in parent incomes and children’s schooling.
Demography, 54(5), 1603–1626. http://www.jstor.org/stable/45047311
Dotterer, A. M., Hoffman, L., Crouter, A. C., & McHale, S. M. (2008). A longitudinal examination of the bidirectional links
between academic achievement and parent-adolescent conflict. Journal of Family Issues, 29(6), 762–779. https://doi.
org/10.1177/0192513X07309454
Singh, R., & Choudhary, S. (2018). An empirical study on the predictive role of SES on high school students’ achievement
in learning ESL. International Journal of Learning and Change, 10, 163. https://doi.org/10.1504/IJLC.2018.090925
Thomson, S. (2018). Achievement at school and socioeconomic background—an educational perspective. npj Science
of Learning, 3(1), 1–2. https://doi.org/10.1038/s41539-018-0022-0
Atkinson, R., & Geiser, S. (2009). Reflections on a century of college admissions tests. Educational Researcher, 38,
–676. https://doi.org/10.3102/0013189X09351981
Bowers, A.J. (2011). What’s in a grade? The multidimensional nature of what teacher-assigned grades assess in high
school. Educational Research and Evaluation, 17, 141–159. https://doi.org/10.1080/13803611.2011.597112
Khan, A., & Ghosh, S.K. (2020). Student performance analysis and prediction in classroom learning: A review of
educational data mining studies. Educational Information Technology, 26(1), 205–240. https://doi.org/10.1007/s10639-
-10230-3
Centra, J.A. (2003). Will teachers receive higher student evaluations by giving higher grades and less course work?
Research in Higher Education, 44, 495–518. https://doi.org/10.1023/A:1025492407752
Li, K.F., Rusk, D., & Song, F. (2013). Predicting student academic performance. In Proceedings - 2013 7th International
Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2013, July 1. https://doi.org/10.1109/
CISIS.2013.15
Adjei, S.A., Botelho, A.F., & Heffernan, N.T. (2016). Predicting student performance on post-requisite skills using
prerequisite skill data: an alternative method for refining prerequisite skill structures. In Proceedings of the Sixth
International Conference on Learning Analytics & Knowledge, pp. 469–473. Association for Computing Machinery,
New York, NY, USA. https://doi.org/10.1145/2883851.2883867
Downloads
Published
Issue
Section
License
Copyright (c) 2025 MUHANDISLIK VA IQTISODIYOT
This work is licensed under a Creative Commons Attribution 4.0 International License.