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The real estate market is an important market. For industrialized countries, the real estate
market often accounts for about 30% of GDP. There are also a number of countries with
state budget revenues from land and real estate accounting for 50% - 70% of total
revenues. The establishment and development of this type of market has contributed
significantly to the socio-economic development of our country in the past because it is
an important component of the economy.
However, in the past time the real estate market was full of uncertainty, the price of
"dancing", fluctuating up and down, the "fever" turned into a "frozen" period, it closed
contributing to the "throbbing" of the financial market and causing instability of the
monetary market, especially limited ability to raise capital for businesses, affecting the
growth and development economy.
And in particular, our country - with an economy with a high rate of bankruptcy and
business dissolution, demanding a stable business environment to attract foreign
investment, tens of thousands the bankruptcy of businesses in the first two months of the
year has also affected investors' perceptions of the domestic business environment.
Based on this fact, the author directed this research project to determine the relationship
between financial structure and bankruptcy risk of real estate enterprises in Vietnam.
From there, an early warning to enterprises themselves as well as management agencies
have timely solutions to rescue the difficulty of the business as well as building a
sustainable economy.
2. Scientific significance and practicality of the topic
The completed model contribute to forming a powerful tool for investors before making
investment decisions. Avoid mistakes in assessing the ability to maintain the business. As
a result, making investment decisions is quicker, easier and more accurate.
For self-employed business, models for bankruptcy is a tool for identification, an early
warning sign for enterprises to make timely improvements to their operations. This will
help to avoid losses to the economy.
