MANAGING THE POTENTIAL OF CONSTRUCTION INDUSTRY ENTERPRISES

Аннотация

Today, the rapid economic development of the construction industry is explained by the increasing role of this sector in the country's economy, including in the gross domestic product. Weused thevertical analysis method toanalyze theeconomic indicators of thissector. Keywords : research level, technical capacity ofthe enterprise From the analysis of the data in the following table, it can be seen that the information on housing units commissioned in our country in the period under study 2012-2021 and the coefficient of change in their total area are presented in Table 3.4. From the data in this table, it can be seen that during the ten years under analysis, it has been increasing since 2017, and only in 2019 and 2020, as a result of the impact of the current situation (pandemic), we can see a decrease in the indicators. It can be observed that the average interest coefficient of the total number of houses built during the period under study was 1.04, which is also explained by the significant development in theconstruction sector and itshigh development indicators. Table3.4 Byhousing units launched information 1 (coefficientof changeoftotal area ofhousing units) Averag e 201 201 201 201 201 201 201 201 202 202 coeffici 2 3 4 5 6 7 8 9 0 1 ent of variati on Coefficient of change in the 0.9 1.13 1.03 1.05 0.99 1.15 1.14 1.13 0.73 1.01 1.01 total number of 3 apartments built Including: 0.4 state 0.60 1.67 1.20 2.33 1.33 1.38 5.45 0.58 0.85 0.96 3 non- 0.9 1.13 1.03 1.05 0.98 1.15 1.14 1.09 0.74 1.02 1.01 governmental 4 1CompiledbytheauthorbasedondatafromtheStateStatisticsCommitteeoftheRepublicofUzbekistan. https://ijmri.de/index.php/jmsi volume 4,issue5,2025 932 Incities Coefficient of change in the 0.8 1.16 1.03 1.12 1.17 1.16 1.39 1.23 0.68 1.12 1.06 total number of 9 apartments built Including: 0.6 state 1.61 1.32 0.67 2.23 1.11 1.80 2.75 0.19 1.21 0.78 4 non- 0.9 1.15 1.02 1.14 1.14 1.16 1.38 1.17 0.72 1.12 1.06 governmental 0 Inruralareas Coefficient of change in the 0.9 1.12 1.04 1.04 1.02 0.96 1.07 1.11 0.93 1.03 1.02 total number of 6 apartments built Including: 49.2 0.2 75.1 state 1.06 0.22 2.29 0.70 0.28 1.52 1.05 0.59 5 3 3 non- 0.9 1.12 1.04 1.04 1.01 0.96 1.07 1.11 0.91 1.03 1.02 governmental 6 From the data in the table, it can be seen that the average coefficient of interest in the construction works carried out by ownership forms was somewhat higher in the state network (0.96), and the average coefficient of interest in the construction works carried out in urban and rural areas was almost the same, with coefficients of 1.06 and 1.02. All quantitative data on this tablecan befound in Appendix 3. According to the data in the table below, the average coefficient of interest change in the number of apartments built in our country by ownership form between 2012 and 2021 was 1.02, with 1.01 in the public sector and 1.02 in the private sector, and there is no sharp difference between these indicators. It should also be noted that if 99.6 percent of the apartments built in 2012 were in the private sector, and the remaining 0.4 percent were in the public sector, then by the end of 2021thisindicatorwas 94.9percent, and 5.1percent were in thepublicsector (Table 3.5). Table3.5 Information aboutapartments builtaccordingto ownershipforms2 (coefficient ofvariation) 2CompiledbytheauthorbasedondatafromtheStateStatisticsCommitteeoftheRepublicofUzbekistan. https://ijmri.de/index.php/jmsi volume 4,issue5,2025 933 Averag e 201 201 201 201 201 201 201 202 202 coeffici 2012 3 4 5 6 7 8 9 0 1 ent of variati on Coefficient of change in the 0.9 1.1 0.7 1.13 1.03 1.05 0.99 1.14 1.13 1.15 1.02 total number of 3 5 3 apartments built Including by ownership form: 0.4 1.3 0.5 state 0.60 1.67 1.20 2.33 1.38 5.45 1.46 1.01 3 3 8 non- 0.9 1.1 0.7 1.13 1.03 1.05 0.98 1.14 1.09 1.13 1.02 governmental 4 5 4 In conclusion, it can be said that in recent years, the indicator of the number of apartments being built by the public sector has been increasing. Data with all quantitative indicators according to thistableare presented in Appendix 4. Table 3.6 below presents the interest indices of data on housing units commissioned in the Republic of Karakalpakstan, regions and the city of Tashkent from all sources. It can be seen from this table that detailed information on housing units completed and commissioned in our country during theanalyzed period 2012-2021 is presented according totheinterest index. Table3.6 Information on housing units commissioned by the Republic of Karakalpakstan, regions andthecity ofTashkentfromall sources3 (coefficient ofvariation) Average 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 coefficient of variation Republic of 1.13 1.04 1.06 1.06 0.94 1.02 1.17 1.16 0.83 1.03 1.03 Uzbekistan Republic of 1.29 0.95 1.02 0.99 0.78 1.18 1.24 1.45 0.61 1.01 0.99 Karakalpakstan regions 3CompiledbytheauthorbasedondatafromtheStateStatisticsCommitteeoftheRepublicofUzbekistan. https://ijmri.de/index.php/jmsi volume 4,iss