Автор работы: Пользователь скрыл имя, 30 Октября 2013 в 07:25, реферат
Small business has become an important research topic for economists and policymakers working on economic development and regional growth. Its importance and significance is due to the fact that small businesses are the fundamental basis for building a competitive environment, as well as the basis for forming a middle class society. The small business sector provides flexible and
fast satisfaction of consumer needs; it serves as an effective tool for resolving social and economic problems both at national and regional levels. Small businesses create 50% of GDP1, provide jobs for more than half the population of Western Europe and the U.S.2, make a significant contribution to the export potential, facilitate implementation in manufacturing the latest achievements of science and technology, and so on.
Small business has become an important research topic for economists
and policymakers working on economic development and regional growth.
Its
importance and significance is due to the fact that small businesses
are the
fundamental basis for building a competitive environment, as well as
the basis for
forming a middle class society. The small business sector provides flexible
and
fast satisfaction of consumer needs; it serves as an effective tool
for resolving
social and economic problems both at national and regional levels. Small
businesses create 50% of GDP1, provide jobs for more than
half the population
of Western Europe and the U.S.2, make a significant contribution
to the export
potential, facilitate implementation in manufacturing the latest achievements
of
science and technology, and so on.
The role of financing is particularly important in supporting small
firms.
"SMEs tend to be more financially constrained than large firms
and the lack of
access to finance is an important obstacle to their growth. In particular,
SMEs
find it difficult to obtain external financing from banks and capital
markets given
their size and characteristic opaqueness.3" Banks financing
SMEs face difficult
financial constraints due to the lack of accurate reliable information
on the
financial condition and performance of small firms. In particular,
banks usually
hesitate to finance startups and young firms, those with insufficient
collateral, or
firms which demonstrate the possibilities of high returns but at a significant
risk of
loss. Despite efforts by financial institutions and public-sector bodies
to close
funding gaps, SMEs continue to experience difficulty in obtaining needed
capital
(K. Dietrich, 2003).
The aim of this paper is to determine the factors that drive banks'
decisions to provide loans to small informationally opaque enterprises.
This
paper combines three important aspects related to small business lending
-
asymmetry of information, bank efficiency, and regional economic performance
-
and hopes to establish the complex ties between them and understand
how
banks can use the information available for the benefit of SMEs, and
ultimately
regional growth.
In regard to the first aspect, the lack of hard information about
SMEs
creates asymmetry of information between banks and small enterprises.
For
example, "a lack of audited financial statements prevents banks
from engaging in
what is known as financial-statement lending, by which the loan contract
terms
are set on the basis of the company's expected future cash flow and
current
financial condition as reflected in audited statements" (Berger
and Udell, 2006).
Other lending technologies, such as business credit scoring, asset-based
lending,
and factoring, also need hard information on the SMEs. Therefore, it
is important
for banks to be able to find available information, which can be used
as a proxy
for measured entrepreneurial performance when it is difficult to get
hard
information on them.
Specifically, this paper tests hypotheses about the effect of
entrepreneurial information regarding firm turnover available in the
region and
small business density on the amount of lending to small businesses.
This paper
tries to find out whether the information that banks can get about the
number of
firms established in the particular county and the number of closeouts
per county
influence the distribution of loans to SMEs in a particular county.
Thus, banks
can make their lending decisions knowing already the history of successes
and
failures of small businesses in a particular county and in particular
industries.
This gives them more insight on the level of lending risk in the county
and
answers the question of whether a particular sector or industry in this
county can
be successful.
Also, along with entrepreneurial information in the region, the economic
conditions in a particular county matter. For example, a county with
a high
income, population, and level of human capital has a higher probability
of being
more business active than the counties with these characteristics being
low.
Furthermore, bank financial distress may be an important determinant
of
loan availability. "Healthy" banks are better able to provide
loans to young, small
firms with risky projects than are less healthy banks. These banks'
profits are
high enough to offset losses associated with lending to small businesses.
All
4
these factors need to be taken into account when analyzing bank lending
to
SMEs.
Another issue that this paper examines is the relationship between
the
degree of small bank competition in local geographic banking markets
and the
total volume of small business lending in those markets. This paper
tests whether
increases in competition in a banking market would be expected to be
associated
with increases in small business loan volume in a county.
The novelty of this paper lies in the regional character of the modeling.
This paper is going to investigate how factors and their influence on
the small
business lending change across different geographical levels. Specifically,
we
will split the geography down to metro, micro, and rural counties in
order to
uncover the effect of the size and geography factor in the small business
lending.
This data split allows us to find out whether the factors that influence
SME
lending in metro counties will have the same impact on the lending practices
in
the rural counties and vice versa.
This research tries to shed light on all these issues through testing
the
hypotheses using a rich data set provided by the Federal Reserve Bank.
It
contains information on counties' economic conditions, entrepreneurship
density,
their loans, and the Call-report data for all banks across the regions.
In all, the
hypotheses are tested using US county data from 1999-2007, representing
a
mixture of economic conditions at the county level.
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The four main obstacles to business are high taxes, limited access to finance, an inadequately educated work force and corruption. Medium-sized companies complain more about access to finance and work force qualifications than small-sized companies. The sources of finance are concentrated in Almaty and Astana, and most banks remain focused on catering to MSMEs in the two main cities only.
Business Advisory Services (BAS) and the Enterprise Growth Programme (EGP) activities with MSMEs in Kazakhstan are guided by the BAS and EGP country brief which is included in the overall EBRD strategy for the country. This strategy also gives a useful MSME market overview of Kazakhstan.
Статья 19.
Государственная поддержка и
развитие
малого предпринимательства
1. Основными принципами
приоритет развития малого
предпринимательства в
комплексность
доступность инфраструктуры
поддержки малого
международное сотрудничество
в области поддержки и
2. Государственная поддержка и
развитие малого
1) оказания финансовой поддержки;
2) организации сети центров
поддержки малого
3) организации деятельности
4) передачи субъектам малого
предпринимательства в
5) безвозмездной передачи
Данные условия не
3. Финансовая поддержка