Tel: +998977838464
Search

Nomeri 6 (2026)
Marketing

Ilmiy maqolalar

MINTAQADA XIZMAT KOʻRSATISH SOHASI SAMARADORLIGINI OʻLCHASHNING ZAMONAVIY STATISTIK VA EKONOMETRIK USULLARI

DOI 10.67668/mj/2026iss6/1888

Nashr qilingan 2026-08-10

Mualliflar
Xamidov Javoxir Shavkat oʻgʻli
pdf Google Scholar Google Scholar

Annotatsiya

Mazkur maqolada mintaqada xizmat koʻrsatish sohasi samaradorligini oʻlchashning zamonaviy statistik va ekonometrik usullari ilmiy jihatdan tizimlashtirildi. Tadqiqotda DEA, SFA, BCC, SBM, Malmquist indeksi va panel ekonometrik yondashuvlarning nazariy asoslari hamda qoʻllash shartlari qiyosiy tahlil qilindi. Xizmatlar sohasining koʻp mahsulotli xususiyatini hisobga olgan holda kirish va chiqish koʻrsatkichlarini tanlash mezonlari asoslandi. Natijalar noparametrik chegaraviy baholash, Malmquist parchalanishi va butstrepli regressiyani ketma-ket qoʻllash mintaqaviy samaradorlikni ishonchli baholash imkonini berganini koʻrsatdi. Taklif etilgan yondashuv hududlararo taqqoslash, samaradorlik omillarini aniqlash, statistik monitoringni takomillashtirish va boshqaruv qarorlarini dalillarga asoslash uchun yaxlit metodik asos yaratdi. Hududiy xizmatlar tizimida resurslardan foydalanish, texnologik oʻzgarishlar va vaqt boʻyicha samaradorlik dinamikasini birgalikda baholash zarurligi ilmiy jihatdan asoslandi. Ushbu yondashuv amaliy tahlil aniqligini ham oshirdi.

Kalit so'zlar

Array

References

  1. Farrell M. J. The Measurement of Productive Efficiency // Journal of the Royal Statistical Society. Series A (General). - 1957. - Vol. 120, No. 3. - P. 253-290. https://doi.org/10.2307/2343100
  2. Charnes A., Cooper W. W., Rhodes E. Measuring the efficiency of decision making units // European Journal of Operational Research. - 1978. - Vol. 2, No. 6. - P. 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  3. Banker R. D., Charnes A., Cooper W. W. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis // Management Science. - 1984. - Vol. 30, No. 9. - P. 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  4. Aigner D., Lovell C. A. K., Schmidt P. Formulation and estimation of stochastic frontier production function models // Journal of Econometrics. - 1977. - Vol. 6, No. 1. - P. 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
  5. Meeusen W., van den Broeck J. Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error // International Economic Review. - 1977. - Vol. 18, No. 2. - P. 435-444. https://doi.org/10.2307/2525757
  6. Mergoni A., Emrouznejad A., De Witte K. Fifty years of Data Envelopment Analysis // European Journal of Operational Research. - 2025. - Vol. 326, No. 3. - P. 389-412. https://doi.org/10.1016/j.ejor.2024.12.049
  7. Emrouznejad A., Yang G. A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016 // Socio-Economic Planning Sciences. - 2018. - Vol. 61. - P. 4-8. https://doi.org/10.1016/j.seps.2017.01.008
  8. Charnes A., Cooper W. W., Rhodes E. Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through // Management Science. - 1981. - Vol. 27, No. 6. - P. 668-697. https://doi.org/10.1287/mnsc.27.6.668
  9. Cooper W. W., Seiford L. M., Tone K. Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. - New York: Springer, 2007. https://doi.org/10.1007/978-0-387-45283-8
  10. Tone K. A slacks-based measure of efficiency in data envelopment analysis // European Journal of Operational Research. - 2001. - Vol. 130, No. 3. - P. 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5
  11. Färe R., Grosskopf S., Norris M., Zhang Z. Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries // The American Economic Review. - 1994. - Vol. 84, No. 1. - P. 66-83. https://www.jstor.org/stable/2117971
  12. Berger A. N., Humphrey D. B. Efficiency of financial institutions: International survey and directions for future research // European Journal of Operational Research. - 1997. - Vol. 98, No. 2. - P. 175-212. https://doi.org/10.1016/S0377-2217(96)00342-6
  13. Hollingsworth B. The measurement of efficiency and productivity of health care delivery // Health Economics. - 2008. - Vol. 17, No. 10. - P. 1107-1128. https://doi.org/10.1002/hec.1391
  14. Battese G. E., Coelli T. J. A model for technical inefficiency effects in a stochastic frontier production function for panel data // Empirical Economics. - 1995. - Vol. 20. - P. 325-332. https://doi.org/10.1007/BF01205442
  15. Greene W. Fixed and Random Effects in Stochastic Frontier Models // Journal of Productivity Analysis. - 2005. - Vol. 23. - P. 7-32. https://doi.org/10.1007/s11123-004-8545-1
  16. Simar L., Wilson P. W. Estimation and inference in two-stage, semi-parametric models of production processes // Journal of Econometrics. - 2007. - Vol. 136, No. 1. - P. 31-64. https://doi.org/10.1016/j.jeconom.2005.07.009
  17. Bogetoft P., Otto L. Benchmarking with DEA, SFA, and R. - New York: Springer, 2011. https://doi.org/10.1007/978-1-4419-7961-2
  18. Hausman J. A. Specification Tests in Econometrics // Econometrica. - 1978. - Vol. 46, No. 6. - P. 1251-1271. https://doi.org/10.2307/1913827
  19. Driscoll J. C., Kraay A. C. Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data // The Review of Economics and Statistics. - 1998. - Vol. 80, No. 4. - P. 549-560. https://doi.org/10.1162/003465398557825
  20. Pesaran M. H. A simple panel unit root test in the presence of cross-section dependence // Journal of Applied Econometrics. - 2007. - Vol. 22, No. 2. - P. 265-312. https://doi.org/10.1002/jae.951
  21. Oʻzbekiston Respublikasi Milliy statistika qoʻmitasi. Yalpi ichki mahsulot boʻyicha analitik maʼlumot. https://stat.uz/img/press-relizlar/analitika-vvp_zb-lotin_p95454.pdf
  22. World Bank. World Development Indicators: Services, value added (% of GDP) - Uzbekistan. https://data.worldbank.org/indicator/NV.SRV.TOTL.ZS?locations=UZ

Yuklab olishlar

Yuklab olish ma’lumotlari hali mavjud emas.