Mualliflar

  • Qazaxbaev Erkinbay Sarsen o‘g‘li
  • Sauxanov Janibek Kazievich

DOI:

https://doi.org/10.71337/inlibrary.uz.tadqiqotlar.86469

Kalit so‘zlar:

Model natijlari ayollar bandlgi ijtimoiy-iqtisodiy faollik xotin qizlar tadbirkorlik prognoz hisoblash.

Annotasiya

Ayollar bandligini ta’minlashning istiqboldagi prognoz qiymatlarini ishlab chiqish va Qoraqalpog‘iston Respublikasida ayollar egalik qilayotgan kichik biznes subyektlari sonini prognoz qiymatlarini hisoblash uchun ishlab chiqilgan model natijlarini ochib berilgan.


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FUTURE FORECAST VALUES FOR INCREASING WOMEN'S

ENTREPRENEURIAL ACTIVITY AND ENSURING WOMEN'S

EMPLOYMENT IN THE REPUBLIC OF UZBEKISTAN

Sauxanov Janibek Kazievich

Karakalpak State University, Department of Economics, DSc, Professor

e-mail:

jsaukhanov@mail.ru

Qazaxbaev Erkinbay Sarsen o‘g‘li

Researcher at Karakalpak State University

e-mail:

utepbergenovasamatdin@gmail.com

Telephone: +99 890 660 12 90

Annotatsiya:

Ayollar bandligini ta’minlashning istiqboldagi prognoz qiymatlarini

ishlab chiqish va Qoraqalpog‘iston Respublikasida ayollar egalik qilayotgan kichik biznes

subyektlari sonini prognoz qiymatlarini hisoblash uchun ishlab chiqilgan model natijlarini

ochib berilgan.

Kalit so‘zlar:

Model natijlari, ayollar bandlgi, ijtimoiy-iqtisodiy, faollik, xotin

qizlar, tadbirkorlik, prognoz, hisoblash.

Аннотация:

Представлены результаты модели, разработанной для разработки

будущих прогнозных значений обеспечения занятости женщин и расчета

прогнозных значений количества малых предприятий, принадлежащих женщинам в

Республике Каракалпакстан.

Ключевые слова:

Результаты модели, женская занятость, социально-

экономическая, активность, женщины, предпринимательство, прогноз, расчет.

Abstract:

The results of the model developed to develop future forecast values for

ensuring women's employment and calculate forecast values for the number of small

businesses owned by women in the Republic of Karakalpakstan are presented.


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Keywords:

Model results, women's employment, socio-economic, activity, women,

entrepreneurship, forecast, calculation.

Our government pays special attention to ensuring women's employment, increasing

their socio-economic activity, and creating broad opportunities for women to engage in

entrepreneurship. The work being carried out in this area and the changes resulting from

them were mentioned in the previous paragraphs of our dissertation work, and this

paragraph, using the available information, future forecast values for increasing women's

entrepreneurial activity and ensuring women's employment in the Republic of

Karakalpakstan were developed.

Ensuring women's employment requires increasing their role not only as workers

but also as entrepreneurs and managers. For this reason, wide opportunities have been

created for them to engage in entrepreneurship, and work is being carried out intensively

in areas such as training them in the profession, and providing preferential loans. As a

result, the number of women entrepreneurs is increasing year by year. Taking into account

the dynamics of changes in this indicator in the Republic of Karakalpakstan, we will look

at the growth rates in recent years.

Since this indicator has a specific growth rate in 2011-2023 and, in addition to the

general trend, also includes random changes, the results of a comparative analysis of

various models showed that using the ARMAX model is the optimal option. As a result,

the following model was selected.

𝑋

6

= 1817,0 + 0,67 ∗ 𝜀

𝑡−1

− 98,7 ∗ 𝑡 + 14,8 ∗ 𝑡

2

Here: X

6

- Number of small businesses owned by women in the Republic of

Karakalpakstan (unit).

Table 1

Results of a model developed to calculate forecast values for the number of small

businesses owned by women in the Republic of Karakalpakstan

Model 15: ARMAX, using observations 2011-2023 (T = 13)

Dependent variable: X

6


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Standard errors based on Hessian

Coefficient

Std. Error

z

p-value

Const

1816.96

151.773

11.97

<0.0001 ***

theta_1

0.679181

0.266751

2.546

0.0109

**

Time

−98.7066

49.7073

−1.986

0.0471

**

t2

14.7566

3.43095

4.301

<0.0001 ***

Mean dependent var

2052.538 S.D. dependent var

446.2530

Mean of innovations

3.956550 S.D. of innovations

105.7966

R-squared

0.939246 Adjusted R-squared

0.927096

Log-likelihood

−79.35522 Akaike criterion

168.7104

Schwarz criterion

171.5352 Hannan-Quinn

168.1298

Real

Imaginary

Modulus

Frequency

MA

Root 1

-1.4724

0.0000

1.4724

0.5000

A quadratic model was selected, and an additional factor was introduced to account

for random variations. As a result, a positive change was achieved in the reliability level

of the model and the adequacy of the coefficients (Table 1).

The z-statistics results obtained for all coefficients are at the required level, their

reliability is higher than 95%. The coefficient of determination is 0.94, which indicates that

the selected factors cover 94% of the changes in the resulting factor, and the remaining 6%

is due to other factors. These results justify the possibility of developing forecast values

with high reliability based on the model.

The forecast results indicate a rapid growth in the number of women-owned small

businesses in the region over the next year (Table 2).

Table 2

Forecast values for the number of small businesses owned by women in the

Republic of Karakalpakstan


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For 95% confidence intervals, z(0.025) = 1.96

Years

X

6

Growth rate

Standard error

95 percent interval

2024

3449

107,7

105,797

(3241,32, 3656,04)

2025

3657

106,0

127,891

(3405,94, 3907,27)

2026

4015

109,8

127,891

(3764,69, 4266,02)

2027

4404

109,7

127,891

(4152,96, 4654,28)

2028

4821

109,5

127,891

(4570,73, 5072,06)

That is, the growth rate varies between 6.0 and 9.8 percent, and the average growth

rate is 8.5 percent. However, during the period under study, the average growth rate was

6.0 percent, and the growth rate varied between 0.9 and 23.4 percent. It is precisely the fact

that the maximum growth rate fell in 2023 that caused the growth rate to be higher in

subsequent years and ensured an increase in the average growth rate during the forecast

period. In general, the number of small business entities owned by women in 2028 will

reach 4821 units, an increase of 1.5 times compared to 2023.

Also, the number of women working in small businesses and private

entrepreneurship operating in the service sector will reach 78,613 people, an increase of

1.07 times compared to 2023. Namely, the number of small businesses owned by women

is expected to reach 4,821 units, an increase of 1.5 times compared to 2023. High and stable

growth rates are also provided in the number of active individual female entrepreneurs,

with an average growth rate of 6.6 percent. The high growth rates of both of these indicators

and their high impact on the number of women in small businesses and private

entrepreneurship operating in the service sector justify the promising development of work

in these areas.

List of used literature:

1.

Schwartz, E. (1976). Entrepreneurship: A new female frontier. Journal of

Contemporary Business, 5, 47–76


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40-to’plam 1-qism Fevral 2025

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2.

Ahl, H., & Nelson, T. (2010). Moving forward: Institutional perspectives on gender

andentrepreneurship. International Journal of Gender and Entrepreneurship, 2, 5–9.

3.

Abritalina, A.S. Jenskoe predprinimatelstvo: sotsialno-ekonomicheskie motivy i

faktori: Dissertatsiya kandida sotsiologicheskix nauk: 22.00.03. - Saratov, 2006. - 153 p

4.

Gundry, LK, Ben-Yoseph, M., & Posig, M. (2002). Contemporary perspectives on

women's entrepreneurship: a review and strategic recommendations. Journal of

Enterprising Culture, 10, 67–86

5.

Brush, CG, de Bruin, A., & Welter, F. (2009). A gender-aware framework for

women's entrepreneurship. International Journal of Gender and Entrepreneurship, 1, 8–24.

6.

Kazakhbaev E.S. The role of women's entrepreneurship in sustainable economic

development of service enterprises. // Science and Education in Karakalpakstan. 2024

№3/2 532-535. ISSN 2181-9203