The paper deals with an application of survival theory in mineral processing industry. We consider the problem of maximizing copper recovery and determine the best operating conditions based on survival theory. The survival of the system reduces to a problem of maximizing a radius of a sphere inscribed into a polyhedral set defined by the linear regression equations for a flotation process. To demonstrate the effectiveness of the proposed approach, we present a case study for the rougher flotation process of copper-molybdenum ores performed at the Erdenet Mining Corporation(Mongolia).

Mongolia's mining sector alone accounts for 25 percent of the gross domestic product. In the current conditions of globalization, the role of procurement in any country's social and economic development tends to increase more and more. Investment and procurement activities to convert the country's budget into efficient use have determined a new approach to countries' social, economic, and industrial development. Organizing government procurement effectively becomes one of the critical issues to creating an optimal economic structure, increasing the efficiency of the use of all types of resources, improving the productivity of the national economy, ensuring the sustainable social and economic development of the country, and spend the country's budget efficiently and effectively. Mongolia has developed and approved legal acts with a particular focus on forming the legal basis of the economic system and procurement. In recent years, foreign trade turnover has steadily increased. In particular, the foreign trade deficit is decreasing every year. The total turnover of foreign trade in 2005 was 2241.2 million US dollars, in 2010 it was 6108.6 million US dollars, in 2015 it was 8466.8 million US dollars, in 2017 it was 10536.12 million US dollars, which was increased by 27.3% or 2261.6 million US dollars from the previous period. Mineral raw materials and textiles accounted for 71.1% of total exports in 2000, while in 2005, mineral raw materials and precious metals accounted for 73.9%. In 2010, these products accounted for 87.1%, and in 2017, they increased by 2.1 points to 89.2%. In 2022, the share of treasure products in exports was 84.1%. Therefore, it is essential to conduct a comparative study and analysis of the procurement process of major mining enterprises in our country.

In this paper Mongolia is one of the developing countries where a significant part of its economy is provided by using natural resources - especially from the mining sector. The Mongolian present situation is a period of fluctuation between advanced economic development and a way of decline, and it can be a reflection of the so-called “natural resource curse”. In general, the current natural resource dilemma causing the economic downturn is likely to be driven by external market forces such as mineral commodity prices volatility, and internal economic stresses which would result in a slowing growth, in particular, it appears to be caused by some effects of the Dutch disease.

This paper examines the dynamic relationship between economic indicators, law enforcement mechanisms, and property-related crimes in Mongolia using a time-series econometric approach. Relying on the theoretical frameworks of Becker’s economic model of crime and Cantor and Land’s motivation–opportunity hypothesis, the study explores the effects of unemployment, detection probability, and incarceration rates on four crime categories: total crime, theft, robbery, and fraud. An error correction model (ECM) is employed to capture both short-run fluctuations and long-run equilibrium relationships over the period 1992–2022. The empirical findings reveal that detection rates exert a statistically significant deterrent effect on robbery in the short term, while incarceration rates are effective in reducing theft. Unemployment shows a positive and significant long-run effect on theft prior to 2009 but weakens thereafter due to methodological changes in labor statistics. Fraud demonstrates a distinct response pattern, exhibiting negative associations with both incarceration and unemployment, and showing no sensitivity to detection probability. Diagnostic tests support the model’s robustness, with heteroskedasticity in the theft model addressed using robust standard errors. This study contributes to the literature by providing the first country-specific empirical evidence on crime determinants in Mongolia. It highlights the heterogeneous impact of economic and institutional factors on different crime types in a transition economy. The findings underscore the need for integrated policy responses that combine improvements in law enforcement with inclusive economic and social development strategies.