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O‘zbekcha

EVALUATION OF THE ECONOMIC EFFICIENCY OF AGROINDUSTRIAL CLUSTERS IN SAMARKAND REGION

Authors

Keywords:

агропромышленные кластеры, хлопко-текстильные кластеры, зерноводческие кластеры, плодоовощные кластеры, кластер «Афросиаб Джинс Текстиль», кластер «Самарканд Камалак Инвест Текстиль».

Abstract

This article covers the economic indicators, areas of activity, achieved productivity and employment of agro-industrial clusters in Samarkand region. Also, the level of technical efficiency, that is, the conversion of resources into income, was analyzed using data coverage analysis of the largest cotton-textile clusters in the region: “Afrosiyob Jeans Textile” and “Samarkand Kamalak Invest Textile”.

Author Biography

  • , Sharof Rashidov nomidagi Samarqand davlat universiteti

    Sharof Rashidov nomidagi Samarqand davlat universiteti tayanch doktoranti

References

Barrell, R., & Pain, N. (1999). Domestic Institutions, Agglomerations, and Foreign Direct Investment in Europe. European Economic Review, 43, 925-934.

Портер М.Э.Конкуренция. Пер.с англ.-М.: Издат. Дом “Вильямс”, 2001.

Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120 (3): 253-281.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2 (6): 429-444

Zhu, C., N. Zhu, and, A. Emrouznejad (2020) A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies, Journal of Management Science and Engineering, https://doi.org/10.1016/j.jmse.2020.10.001.

Zhu, C., N. Zhu, and, A. Emrouznejad (2020) A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies, Journal of Management Science and Engineering, https://doi.org/10.1016/j.jmse.2020.10.001.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2 (6): 429-444.

Liu, H., Chen, T., Chiu, Y., & Kuo, F. (2013). A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan. Modern Economy, 4: 20-31

Jiang, B., Chen, W., Zhang, H., & Pan, W. (2013). Supplier’s efficiency and performance evaluation using DEA-SVM approach. Journal of Software, 8 (1): 25-30.

Emrouznejad, A., & Shale, E. (2009). A combined neural network and DEA for measuring efficiency of large scale datasets. Computers & Industrial Engineering, 56: 249-254.

Misiunas, N., Oztekin A., Chen Y., & Chandra, K. (2016). DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status. Omega, 58: 46-54.

Kirigia JM, Emrouznejad A, Sambo LG. Measurement of technical efficiency of public hospitals in Kenya Using Data Envelopment Analysis 2002. Journal of Medical Systems. 2002;26(1):39–45

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Published

2025-02-25